Conference Papers:

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1. "A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI", IJCAI, 2024, Jeju Island, Korea, August 3-9 2024. [Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Yuanwang Zhang, Dinggang Shen]

2. "Discontinuity-Aware Coronary Artery Segmentation on CCTA Image", ISBI, Athens, Greece, May 27-30, 2024. [Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Zhiming Cui, Jiameng Liu, Dinggang Shen]
   

3. "Auditory fiber bundle parcellation using text-prompted decomposition networks", ISBI, Athens, Greece, May 27-30, 2024. [Jinchen Gu, Yaoxuan Wang, Caiwen Jiang, Jiameng Liu, Yuting Zhu, Mengda Jiang, Zhaoyan Wang, Feihong Liu, Hao Wu, Dinggang Shen]
   

4. "Accelerating DWI Data Acquisition: Reconstruction using Graph-Driven Diffusion Probabilistic Model", ISBI, Athens, Greece, May 27-30, 2024. [Zhongrui Huang, Caiwen Jiang, Jinchen Gu, Xinyi Cai, Han Zhang, Feihong Liu, Dinggang Shen]
   

5. "Two-phase Multi-dose-level PET Image Reconstruction with Dose Level Awareness, ISBI, Athens, Greece, May 27-30, 2024. [Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen]
   

6. "MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis", ISBI, Athens, Greece, May 27-30, 2024. [Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang]
   

7. "Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning", ISBI, Athens, Greece, May 27-30, 2024. [Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang]
   

8. "Cas-DiffCom: Cascaded diffusion model for longitudinal super-resolution 3D medical image completion", ISBI, Athens, Greece, May 27-30, 2024. [Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang]
   

9. "Image2Points: A 3D Point-based Context Clusters GAN for High-quality PET Image Reconstruction", ICASSP, Seoul, Korea, April 14-19, 2024. [Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen]

10. "Synthesizing Aβ-PET via an image and label conditioning latent diffusion model for detecting amyloid status", ICASSP, Seoul, Korea, April 14-19, 2024. [Zaixin Ou, Yongsheng Pan, Yuanning Li, Fang Xie, Qihao Guo, Dinggang Shen]
    

11. "NaMa: Neighbor-aware Multi-modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images", AAAI 2024, Vancouver, Canada, Feb. 22–25, 2024. [Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Nizhuan Wang, Kaicong Sun, Dinggang Shen]

12. "Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis", AAAI 2024, Vancouver, Canada, Feb. 22–25, 2024. [Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen]

13. "Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen]
    

14. "Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen]
    

15. "Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen]
    

16. "PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiangmeng Liu, Xiaosong Xiong, Dinggang Shen]
    

17. "Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen]

18. "Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen]
    

19. "HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen]
    

20. "HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Wenqi Zhou, Xi Ouyang, Xiao Zhang, Jiayu Huo, Sheng Wang, Feng Shi, Dongdong Gu, Zhong Xue, Rui Zhang, Zhihao Jiang, Yiqiang Zhan, Dinggang Shen]

21. "SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Xiao Zhang, Feihong Liu, Yuning Gu, Xiong Xiaosong, Caiwen Jiang, Jun Feng, Dinggang Shen]
    

22. "Multi-View Vertebra Localization and Identification from CT Images", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dingggang Shen]

23. "CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen]
    

24. "TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen]

25. "Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen]

26. "CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang]
    

27. "NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants", MICCAI 2023, Vancouver, Canada, October 8-12, 2023. [Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian]

28. "Multi-scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest CT Scans", IEEE International Symposium on Biomedical Imaging (ISBI) 2023. [Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen]
    

29. "MT-Net: Multi-modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation Using Sparse Annotation in MRI", IEEE International Symposium on Biomedical Imaging (ISBI) 2023. [Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Yuyao Zhang, Feng Shi, Dinggang Shen]
    

30. "Learning Hierarchical-order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis", IEEE International Symposium on Biomedical Imaging (ISBI) 2023. [Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen]
    

31. "Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis", IEEE International Symposium on Biomedical Imaging (ISBI) 2023. [Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen]
    

32. "Dental Anatomy Segmentation from Cone Beam CT Images", International Symposium on Biomedical Imaging (ISBI), 2023. [Minhui Tan, Yu Fang, Yu Zhang, Zhiming Cui, Dinggang Shen]
    

33. "Transformer-based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI and PET", IEEE International Symposium on Biomedical Imaging (ISBI) 2023. [Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen]
    

34. "Semi-supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening", International Symposium on Biomedical Imaging (ISBI), 2023. [Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, and Zhong Xue]
    

35. "Location-Guided Multi-modality Collaborative Learning for Prostate Tumor Segmentation", International Symposium on Biomedical Imaging (ISBI), 2023. [Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Dinggang Shen]
    

36. "TriDoRNet: Reconstruction of Standard-dose PET from Low-dose PET in Triple (Projection, Image, and Frequency) Domains", International Symposium on Biomedical Imaging (ISBI), 2023. [Caiwen Jiang, Yongsheng Pan, Dinggang Shen]
    

37. "Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge", Information Processing in Medical Imaging (IPMI), 2023. [Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen]
    

38. "S2DGAN: Generating dual-energy CT from single-energy CT for real-time determination of intracerebral hemorrhage", Information Processing in Medical Imaging (IPMI), 2023. [Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen]

39. "Forecasting Human Trajectory from Scene History", Advances in Neural Information Processing Systems (NIPS), 2022. [Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen]

40. "Modular Graph Encoding and Hierarchical Readout for Functional Brain Network based eMCI Diagnosis", GRAIL 2022, Singapore, September 18, 2022. [Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, and Dinggang Shen]

41. "DPDudoNet: Deep-Prior based Dual-domain Network for Low-dose Computed Tomography Reconstruction", MLMIR MICCAI 2022, Singapore, September 18-22, 2022. [Temitope Emmanuel Komolafe,Yuhang Sun, Nizhuan Wang, Kaicong Sun, Guohua Cao, Dinggang Shen]

42. "Semantic-aware Registration with Weakly-supervised Learning", CaPTion, Singapore, September 18-22, 2022. [Zhan Jin, Peng Xue, Yuyao Zhang, Xiaohuan Cao, Dinggang Shen]

43. "Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification", MLMI 2022, Singapore, September 18, 2022. [Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang]

44. "Head and neck vessel segmentation with connective topology using affinity graph", MLMI 2022, Singapore, September 18, 2022. [Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen]

45. "Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation", MLMI 2022, Singapore, September 18-22, 2022. [Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen]

46. "Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images", MICCAI 2022, Singapore, September 18-22, 2022. [Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen]
    

47. "Accelerated MR Fingerprinting for Manganese-enhanced MRI in Mice Using Deep-learning-based Parametric Quantification", MICCAI 2022, Singapore, September 18-22, 2022. [Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen]
    

48. "Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints", MICCAI 2022, Singapore, September 18-22, 2022. [Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen]
    

49. "Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition", MICCAI 2022, Singapore, September 18-22, 2022. [Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen]
    

50. "Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning", MICCAI 2022, Singapore, September 18-22, 2022. [Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen]
    

51. "Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites", MICCAI 2022, Singapore, September 18-22, 2022. [Jingyang Zhang, Peng Xue, Ran Gu, Mianxin Liu, Zhiming Cui, Yongsheng Pan, Yuning Gu, Jiawei Huang, Lei Ma, Dinggang Shen]
    

52. "A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation", MICCAI 2022, Singapore, September 18-22, 2022. [Jieun Lee, Oh Kwanseok, Dinggang Shen, Heung-Il Suk]
    

53. "RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization", MICCAI 2022, Singapore, September 18-22, 2022. [Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke]
    

54. "Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images", MICCAI 2022, Singapore, September 18-22, 2022. [Huabing Liu, Dong Nie, Jinda Wang, Dinggang Shen, Zhenyu Tang]

55. "3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction", MICCAI 2022, Singapore, September 18-22, 2022. [Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang]

56. "Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization", MICCAI 2022, Singapore, September 18-22, 2022. [Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang]

57. "Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis", MICCAI 2022, Singapore, September 18-22, 2022. [Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang]
    

58. "LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information", IEEE International Symposium on Biomedical Imaging (ISBI), 2022. [Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen]

59. ''Reconstruction of Standard-dose PET from Low-dose PET via Dual-frequency Supervision and Global Aggregation Module'', IEEE International Symposium on Biomedical Imaging (ISBI), 2022. [Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen]

60. "Parallel Sinogram and Image Framework with Co-training Strategy for Metal Artifact Reduction in Tooth CT Images", IEEE International Symposium on Biomedical Imaging (ISBI), 2022. [Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen]

61. "Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection", The 4th Chinese Conference on Pattern Recognition and Computer Vision, Beijing, 2021. [Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen]
    

62. "SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images", COMPAY 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen]

63. "A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosis", COMPAY 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen]
    

64. "Variational Encoding and Decoding for Hybrid Supervision of Registration Network", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen]
    

65. "Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue]
    

66. "3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen]
    

67. "Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images using Structure-Constrained Super-Resolution Network", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Zhong Xue, Guangming Lu, Zhiqiang Zhang, Dinggang Shen]
    

68. "A Recurrent Two-stage Anatomy-guided Network for Registration of Liver DCE-MRI", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qian, Yiqiang Zhan, Dinggang Shen, Qian Wang]
    

69. "Multi-scale Segmentation Network for Rib Fracture Classification from CT Images", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen]

70. "Spine-rib Segmentation and Labeling via Hierarchical Matching and Rib-guided Registration"，MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, jiameng liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen]

71. "Morphology-guided Prostate MRI Segmentation with Multi-slice Association", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen]

72. "CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen]

73. "Learning to Synthesize 7T MRI from 3T MRI with Few Data by Deformable Augmentation", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen]

74. "Skull Segmentation from CBCT Images via Voxel-Based Rendering", MLMI 2021 (MICCAI workshop), Strasbourg, France, Sep. 27-Oct. 1, 2021. [Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Han Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J Xia]
    

75. "A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint", International Workshop on PRedictive Intelligence In MEdicine, 2021. [Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik]
    

76. "VertNet: Accurate Vertebra Localization and Identification Network from CT Images”, MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen]

77. "Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Xukun Zhang, Zhiming Cui, Jie Wei, Jingjiao Lou, Changan Chen, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen]

78. “Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis”, MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Mianxin Liu, Han Zhang, Feng Shi, Dingang Shen]

79. "Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jie Wei, Feng Shi,  Zhiming Cui, Yongsheng Pan, Yong Xia, and Dinggang Shen]

80. "Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen]

81. "Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Xiaoxin Li, Zhijie Chen, Xinjie Lou, Junwei Yang, Yong Chen, Dinggang Shen]

82. "Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen]

83. "Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen]

84. "Two-stage self-supervised cycle-consistency network for reconstruction of thin-slice MR images", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen]

85. "Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen]

86. "CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke]

87. "Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages”, MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia]

88. "Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng]

89. "3D Transformer-GAN for High-quality PET Reconstruction", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Yanmei Luo, Yan Wang, chen zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou]

90. "A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning", MICCAI 2021, Strasbourg, France, Sep. 27-Oct. 1, 2021. [Deqiang Xiao, Hannah Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guofang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia]

91. "TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen]

92. "Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images", Information Processing in Medical Imaging (IPMI), 2021. [Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen]

93. "A Semantic Hierarchy Guided Registration Network for Intra-Subject Pulmonary CT Image Alignment", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Liyun Chen, Lei Chen, Xiaohuan Cao, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue]

94. "Pair-wise and Group-wise Deformation Consistency in Deep Registration Network", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue]

95. "Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li*, Dinggang Shen*, and the UNC/UMN Baby Connectome Project Consortium] *Co-corresponding authors

96. "Joint Image Quality Assessment and Brain Extraction of Fetal MRI using Deep Learning", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li]

97. "Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap, and the UNC/UMN Baby Connectome Project Consortium]

98. "Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks", MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap]

99. “Automatic Landmark Localization using Local Attention-based Graph Convolution Network from Craniomaxillofacial CBCT Images”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Peng Yuan, Jaime Gateno, Steve G.F. Shen, David M. Alfi, Pew-Thian Yap, James Xia*, Dinggang Shen*] *Co-corresponding authors

100. “Generating Dual-energy Subtraction Soft-tissue Images from Chest Radiographs via Bone Edge-guided GAN”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Yunbi Liu, Mingxia Liu*, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang*] *Co-corresponding authors

101. “Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu*, Dinggang Shen*] *Co-corresponding authors

102. “A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer’s Disease”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang*, Dinggang Shen*] *Co-corresponding authors

103. “A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020, [Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang*, and the UNC/UMN Baby Connectome Project Consortium]

104. “Asymmetrical Multi-Task Attention U-Net for the Segmentation of Prostate Bed in CT Image”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Wang, Trevor Royce, Ronald Chen, Jun Lian*, Dinggang Shen*] *Co-corresponding authors

105. “Construction of Spatiotemporal Infant Cortical Surface Functional Templates”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li, and the UNC/UMN Baby Connectome Project]

106. “Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap, and the UNC/UMN Baby Connectome Project Consortium]

107. “Acceleration of High-resolution 3D MR Fingerprinting via a Graph Convolutional Network”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap]

108. “Domain-invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li]

109. “Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap]

110. “Multi-Task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Chunfeng Lian, Fan Wang, Han Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve G. F. Shen, Pew-Thian Yap, James J. Xia*, Dinggang Shen*] *Co-corresponding authors

111. “Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu]

112. “Infant Cognitive Scores Prediction With Multi-stream Attention-based Temporal Path Signature Features”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li]

113. “Characterizing Intra-Soma Diffusion with Spherical Mean Spectrum Imaging”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap]

114. “A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation”, MICCAI 2020, Lima, Peru, Oct 4-8, 2020. [Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Weili Lin, Li Wang, Dinggang Shen, Gang Li, and the UNC/UMN Baby Connectome Project Consortium]

115. “Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation”, IEEE Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, May 4-8, 2020. [Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen]

116. “7T guided 3T Brain Tissue Segmentation Using Cascaded Nested Network”, The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, USA, Apr. 3-7, 2020. [Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen]

117. “6-month Infant Brain MRI Segmentation Guided By 24-month Data Using Cycle-Consistent Adversarial Networks”, The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, USA, Apr. 3-7, 2020. [Duc Toan Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen]

118. "Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning", The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, USA, Apr. 3-7, 2020. [Haibo Yang, GuangYu Wu, Dinggang Shen, Shu Liao]
     

119. “Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration”, MLMI 2019, Shenzhen, China, Oct 13, 2019. [Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang] (Oral)

120. “Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI”, MLMI 2019, Shenzhen, China, Oct. 13, 2019. [Jing Zhang, Mingxia Liu*, Yongsheng Pan, Dinggang Shen*] *Co-corresponding authors

121. “Automatic Fetal Brain Extraction Using Multi-Stage U-Net with Deep Supervision”, MLMI 2019, Shenzhen, China, Oct. 13, 2019. [Jingjiao Lou, Dengwang Li*, Toan D. Bui, Fenqiang Zhao, Liang Sun, Gang Li*, Dinggang Shen*] *Co-corresponding authors (Oral)

122. “Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis”, GLMI 2019, Shenzhen, China, Oct. 17, 2019. [Yongsheng Pan, Mingxia Liu*, Li Wang, Yong Xia*, Dinggang Shen*] *Co-corresponding authors

123. “Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity using Functional MRI”, GLMI 2019, Shenzhen, China, Oct. 17, 2019. [Dongren Yao, Mingxia Liu*, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen*] *Co-corresponding authors (Oral)

124. “DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks”, GLMI 2019, Shenzhen, China, Oct. 17, 2019. [Feihong Liu, Jun Feng*, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap*, Dinggang Shen*] *Co-corresponding authors

125. “Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images using 3D Mask R-CNN”, GLMI 2019, Shenzhen, China, Oct. 17, 2019. [Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve G.F. Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen]

126. “A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism”, GLMI 2019，Shenzhen, China, Oct 17, 2019. [Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen*, Li Wang*] *Co-corresponding authors

127. “CNS: CycleGAN-assisted Neonatal Segmentation Model for Cross-Datasets”, GLMI 2019，Shenzhen, China, Oct 17, 2019. [Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen*, Li Wang*] *Co-corresponding authors

128. “Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance”, MIL 2019，Shenzhen, China, Oct 17, 2019. [Duc Toan Bui, Li Wang, Jian Chen, Jian Yang, Weili Lin, Gang Li*, Dinggang Shen*] *Co-corresponding authors (Oral)

129. “Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample Selection”. PRIME 2019，Shenzhen, China, Oct 13, 2019. [Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik] (Oral)

130. “Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen]

131. “RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen]

132. “Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Yoonmi Hong, Geng Chen, Pew-Thian Yap*, Dinggang Shen*] * Co-corresponding authors (Oral)

133. “Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li*, Dinggang Shen*, and the UNC/UMN Baby Connectome Project Consortium] * Co-corresponding authors

134. “CoCa-GAN: Common-feature-learning-based Context-aware Generative Adversarial Network for Glioma Grading”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Han Zhang*, Dinggang Shen*] * Co-corresponding authors

135. “End-to-End Dementia Status Prediction from Brain MRI using Multi-Task Weakly-Supervised Attention Network”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Chunfeng Lian, Mingxia Liu*, Li Wang, Dinggang Shen*] * Co-corresponding authors

136. “MeshSNet: Deep Multi-Scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces”,MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Chunfeng Lian, Li Wang*, Tai-Hsien Wu, Mingxia Liu*, Francisca Durán, Ching-Chang Ko, Dinggang Shen*] * Co-corresponding authors

137. “Multi-Stage Image Quality Assessment of Diffusion MRI via Semi-Supervised Nonlocal Residual Networks”,MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen]

138. “Early Development of Infant Brain Complex Network”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Weixiong Jiang, Han Zhang*, Ye Wu, Liming Hsu, Dan Hu, Dinggang Shen*] * Co-corresponding authors

139. “Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Deqiang Xiao, Li Wang, Hannah Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez, Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve G.F. Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia*, Dinggang Shen*] * Co-corresponding authors

140. “Multi-layer temporal network analysis reveals increasing temporal reachability and spreadability in the first two years of life”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Zhen Zhou, Han Zhang*, Li-Ming Hsu, Weili Lin, Gang Pan*, Dinggang Shen*, and the UNC/UMN Baby Connectome Project Consortium] * Co-corresponding authors

141. “Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional Neural Network on Surface Manifold”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Gang Li*, Dinggang Shen*] * Co-corresponding authors

142. “Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap*, Dinggang Shen*, and the UNC/UMN Baby Connectome Project Consortium] * Co-corresponding authors

143. “Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Liangqiong Qu, Shuai Wang, Pew-Thian Yap*, Dinggang Shen*] * Co-corresponding authors (Oral)

144. “Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang*, Dinggang Shen*] * Co-corresponding authors

145. “Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-state fMRI”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang*, Dinggang Shen*] * Co-corresponding authors

146. “Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang*, Dinggang Shen*] * Co-corresponding authors

147. “A Deep Learning Framework for Noise Component Detection from Resting-state Functional MRI”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang*, Dinggang Shen*, and the UNC/UMN Baby Connectome Project Consortium] * Co-corresponding authors

148. “Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Yongsheng Pan, Mingxia Liu*, Chunfeng Lian, Yongxia*, Dinggang Shen*] * Co-corresponding authors

149. “Robust and Discriminative Brain Genome Association Analysis”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Xiaofeng Zhu, Dinggang Shen]

150. “Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen]

151. “Synthesis and Inpainting-based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Dongming Wei, Sahar Ahmad, Jiayu Huo, Yunhao Ge, Wen Peng, Pew-Thian Yap, Zhong Xue, Dinggang Shen*, Qian Wang*] * Co-corresponding authors

152. “Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle-Consistent Adversarial Networks”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li] (Oral)

153. “Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties”,MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, John Gilmore, Weili Lin, Dinggang Shen, Gang Li]

154. “Automated Parcellation of the Cortex Using Structural Connectome Harmonics”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [H. Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap]

155. “Probing Brain Micro-Architecture by Orientation Distribution Invariant Identification of Diffusion Compartments”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Khoi Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap, and the UNC/UMN Baby Connectome Project Consortium]

156. “Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Khoi Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap]

157. “Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction”, MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. [Tao Zhou, Kimhan Thung, Yu Zhang, Huazhu Fu, Jianbing Shen,Dinggang Shen, Ling Shao]

158. “MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification”, Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2019. [Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen]

159. “Decoding EEG by Visual-guided Deep Neural Networks”, IJCAI, 2019. [Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen]

160. “Spherical U-Net on Cortical Surfaces: Methods and Applications”, Information Processing in Medical Imaging (IPMI), June 2-7, 2019, HKUST, Hong Kong. [Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John Gilmore, Dinggang Shen, Gang Li]

161. “Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data”, Information Processing in Medical Imaging (IPMI), June 2-7, 2019, HKUST, Hong Kong. [Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen]

162. “Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces”, Information Processing in Medical Imaging (IPMI), June 2-7, 2019, HKUST, Hong Kong. [Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen] (Oral)

163. “Asymmetry Spectrum Imaging for Baby Diffusion Tractography”, Information Processing in Medical Imaging (IPMI), June 2-7, 2019, HKUST, Hong Kong. [Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap, the UNC/UMN Baby Connectome Project Consortium] (Oral)

164. “A Preliminary Volumetric MRI Study of Amygala and Hippocampal Subfields in Autism During Infancy”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quansen Sun, Dinggang Shen, Li Wang] (Oral)

165. “FRNET: Flattened Residual Network for Infant MRI Skull Stripping”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen] (Oral)

166. “Hierarchical Representation for CT Prostate Segmentation”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen] (Oral)

167. “Charting Development-Based Joint Parcellation Maps of Human and Macaque Brains During Infancy”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li]

168. “Spherical U-Net for Infant Cortical Surface Parcellation”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li] (Oral)

169. “Cortical Folding Prints for Infant Identification”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li]

170. “Construction of 4D Neonatal COrtical Surface Atlases Using Wasserstein Distance”, The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. [Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li] (Oral)

171. “Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation”, AAAI 2019, Honolulu, Hawaii, Jan. 27-Feb. 1, 2019. [Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen]

172. “Fully Automatic Segmentation of Paraspinal Muscles from 3D Torso CT Images via Multi-scale Iterative Random Forest Classification”, 32nd International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2018), Berlin, Germany, Jun. 20-23, 2018. [Guoyan Zheng, Naoki Kamiya, Jing Li, Masanori Kume, Hiroshi Fujita, Dinggang Shen]

173. “Malignant Brain Tumor Classification Using the Random Forest Method”, Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR 2018), Beijing, China, Aug. 17-19, 2018. [Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen]

174. “Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI Data”, CDMRI 2018 (MICCAI workshop), Granada, Spain, Sep. 20, 2018. [Jaeil Kim, Yoonmi Hong, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen]

175. “Longitudinal Harmonization of Baby Diffusion MRI Data”, CDMRI 2018 (MICCAI Workshop), Granada, Spain, Sep. 20, 2018. [Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap]

176. “Tissue Segmentation Using Sparse Non-Negative Matrix Factorization of Spherical Mean DMRI Data”, CDMRI 2018 (MICCAI Workshop), Granada, Spain, Sep. 20, 2018. [Peng Sun, Ye Wu, Geng Chen, Dinggang Shen, Pew-Thian Yap ]

177. “Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 20, 2018. [Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen]

178. “Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Weili Lin, Dinggang Shen, Gang Li]

179. “Early Automatic Classification of MR Scans of Autism Disease by Multi-Channel CNNs”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Guannan Li, Mingxia Liu, Quansen Sun, Dinggang Shen, Li Wang]

180. “Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Biao Jie, Mingxia Liu, Feng Shi, Chunfeng Lian, Dinggang Shen]

181. “Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen]

182. “Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity”, MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen]

183. “Unpaired Deep Cross-modality Synthesis with Fast Training”, DLMIA 2018 (MICCAI Workshop), Granada, Spain, Sep. 20, 2018. [Lei Xiang*, Yang Li*, Weili Lin, Qian Wang, Dinggang Shen]

184. “Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer’s Disease Diagnosis”, PRIME 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen]

185. “Joint Robust Imputation and Classification for Early Dementia Detection using Incomplete Multi-Modality Data”, PRIME 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018. [Kim-Han Thung, Pew-Thian Yap, Dinggang Shen]

186. “Contour Knowledge Transfer for Salient Object Detection”, 15th European Conference on Computer Vision (ECCV), September 8-14, 2018, Munich, Germany. [Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen]

187. “Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen]

188. “Multi-layer large-scale functional connectome reveals infant brain developmental patterns”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen]

189. “Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen]

190. “Efficient Groupwise Registration for MR Brain Images via Hierarchical Graph Set Shrinkage”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen]

191. “Do Baby Brain Cortices that Look Alike at Birth Grow Alike During The First Year of Postnatal Development?”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Islem Rekik, Gang Li, Weili Lin, Dinggang Shen]

192. “Low-Rank Representation for Multi-Center Autism Spectrum Disorder Identification”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Mingliang Wang, Daoqiang Zhang*, Jiashuang Huang, Dinggang Shen*, and Mingxia Liu*] * Co-corresponding authors.

193. “Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning based Registration”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen]

194. “Volume-based Analysis of 6-month-old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Li Wang*, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Weili Lin, Dinggang Shen*] * Co-corresponding authors.

195. “Registration-Free Infant Cortical Surface Parcellation using Deep Convolutional Neural Networks”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen]

196. “A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Tae-Eui Kam, Han Zhang, Dinggang Shen]

197. “Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James Xia, Dinggang Shen]

198. “A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions”, MICCAI 2018, Granada, Spain, Sep. 16- 20, 2018. [Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap]

199. “Penalized Geodesic Tractography for Mitigating Gyral Bias”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap]

200. “Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia*, Dinggang Shen*] * Co-corresponding authors.

201. “Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Oualid Benkarim, Gerard Sanroma, Gemma Piella, Miguel Angel González Ballester, Nadine Hahner, Elisenda Eixarch, Islem Rekik, Dinggang Shen, Gang Li]

202. “ASDNet: Attention based Semi-supervised Deep Networks for Medical Image Segmentation”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen]

203. “Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis,” MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen]

204. “Locality Adaptive Multi-modality GANs for High-quality PET Image Synthesis”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Yan Wang, Luping Zhou*, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen]

205. “Temporal Correlation Structure Learning for MCI Conversion Prediction”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Xiaoqian Wang, Dinggang Shen, Heng Huang]

206. “Ultra-fast T2-weighted MR Reconstruction using Complementary T1-weighted Information”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Lei Xiang, Yong Chen, Chang Weitang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen]

207. “Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound”, MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. [Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni]

208. “Voxel Deconvolutional Networks for 3D Brain Image Labeling”, KDD 2018, London, United Kingdom, August 19-23, 2018. [Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji]

209. “Deep Adversarial Learning for Multi-Modality Missing Data Completion”, KDD 2018, London, United Kingdom, August 19-23, 2018. [Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji]

210. “A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images”, ICASSP 2018, Calgary, Alberta, Canada, April 15-20, 2018. [Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Shen]

211. “Estimation of Shape and Growth Brain Network Atlases for Connectomic Brain Mapping in Developing Infants”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Islem Rekik, Gang Li, Weili Lin, Dinggang Shen]

212. “Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen] (Oral Presentation)

213. “Semi-Supervised Learning for Pelvic MR Image Segmentation based on Multi-Task Residual Fully Convolutional Networks”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Zishun Feng, Dong Nie, Li Wang, Dinggang Shen]

214. “Construction of Spatiotemporal Neonatal Cortical Surface Atlases using a Large-Scale Dataset”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen] (Oral Presentation)

215. “A Computational Method for Longitudinal Mapping of Orientation-Specific Expansion of Cortical Surface in Infants”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li]

216. “Fetal Cortical Parcellation based on Growth Patterns”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel Angel Gonzalez Ballester, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li]

217. “Construction of Spatiotemporal Infant Cortical Surface Atlas of Rhesus Macaque”, ISBI 2018, Washington, D.C., April 4-7, 2018. [Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li]

218. “Multi-Layer Multi-View Classification for Alzheimer’s Disease Diagnosis”, AAAI 2018, New Orleans, Louisiana, Feb. 2-7, 2018. [Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen]

219. “Genotype-phenotype association study via new multi-task learning model”, Pacific Symposium on Biocomputing 2018, Kohala Coast, Hawaii, USA, 3-7 January 2018. [Zhouyuan Huo, Dinggang Shen, Heng Huang]

220. “Learning Pairwise Similarity Guided Sparse Functional Connectivity Network for MCI Classification”, The 4th Asian Conference on Pattern Recognition (ACPR 2017), Nanjing, China, November 26-29, 2017. [Chen Xiaobo, Han Zhang, Yu Zhang, Jian Yang, Dinggang Shen] (Best Paper Award)

221. “Regularized Modal Regression with Applications in Cognitive Impairment Prediction”, Neural Information Processing Systems (NIPS), 2017. [Xiaoqian Wang, Hong Chen, Dinggang Shen, Heng Huang]

222. “Early Brain Functional Segregation and Integration Predict Later Cognitive Performance”, CNI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen]

223. “Consciousness Level and Recovery Outcome Prediction using High-Order Brain Functional Connectivity Network”, CNI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen]

224. “Constructing Multi-Frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment”, CNI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen]

225. “Multi-Stage Diagnosis of Alzheimer’s Disease with Incomplete Multimodal Data via Multi-Task Deep Learning”, DLMIA 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Kim-Han Thung, Pew-Thian Yap, Dinggang Shen]

226. “Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures”, DLMIA 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen]

227. “Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment”, PatchMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen]

228. “Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks”, PatchMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017. [Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen]

229. “Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-learning based Cascade Framework”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James Xia, Dinggang Shen]

230. “Efficient Groupwise Registration for Brain MRI by Fast Initialization”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen]

231. “Inter-Subject Similarity Guided Brain Network Modeling for MCI Diagnosis”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen]

232. “Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen]

233. “Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen]

234. “Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Yang Li, Jingyu Liu, Meilin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen]

235. “Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen]

236. “Novel Effective Connectivity Network Inference for MCI Identification”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen]

237. “Sparse Multi-view Task-centralized Learning for ASD Diagnosis”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen]

238. “A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling”, MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. [Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen]

239. “Fully automated esophagus segmentation with a hierarchical deep learning approach“, ICSIPA 2017, Kuching Malaysia, Sep. 12-14, 2017. [Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan]

240. “Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen]

241. “Multi-label inductive matrix completion for joint MGMT and IDH1 status prediction for glioma patients”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Lei Chen, Han Zhang, Luyan Liu, Kimhan Thung, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen]

242. “Medical Image Synthesis with Context-Aware Generative Adversarial Networks”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Dong Nie∗, Roger Trullo∗, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen] *Co-first authors.

243. “Deformable Image Registration based on Similarity-Steered CNN Regression”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen]

244. “Deep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain Status”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen]

245. “Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen]

246. “4D Infant Cortical Surface Atlas Construction using Spherical Patch-based Sparse Representation”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen]

247. “Joint Reconstruction and Segmentation of 7T-like MR images from 3T MRI based on Cascaded Convolutional Neural Networks”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen]

248. “Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Gang Li, Li Wang, Weili Lin, Dinggang Shen]

249. “Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen]

250. “Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen]

251. “Improving functional MRI registration using whole-brain functional correlation tensors”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen]

252. “Does Manual Delineation Only Provide the Side Information in Learning-Based Segmentation for CT Prostate Images?”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen]

253. “Multimodal Hyper-Connectivity Networks for MCI Classification”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen]

254. “Exploring Gyral Patterns of Infant Cortical Folding based on Multi-view Curvature Information”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li]

255. “q-Space Upsampling Using x-q Space Regularization”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap]

256. “Neighborhood Matching of Unstructured Manifold-Distributed Data with Application to Denoising in Diffusion MRI”, MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. [Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap]

257. “Predicting Alzheimer’s Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model”, The 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne, Australia, August 2017. [Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang]

258. “Estimation of Brain Network Atlases using Diffusive-Shrinking Graphs: Application to Developing Brains”, Information Processing in Medical Imaging (IPMI), June 25-30, 2017, Boone, NC, USA. [Islem Rekik, Gang Li, Weili Lin, Dinggang Shen]

259. “Segmentation of Organs at Risk in Thoracic CT images using a SharpMask Architecture and Conditional Random Fields”, IEEE International Symposium on Biomedical Imaging (ISBI), April 18-21, 2017, Melbourne, Australia. [Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen]

260. “A Novel Framework for Groupwise Registration of fMRI Images based on Common Functional Networks”, IEEE International Symposium on Biomedical Imaging (ISBI), April 18-21, 2017, Melbourne, Australia. [Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu]

261. “Longitudinal Multi-Scale Mapping of Infant Cortical Folding using Spherical Wavelets”, IEEE International Symposium on Biomedical Imaging (ISBI), April 18-21, 2017, Melbourne, Australia. [Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li]

262. “Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks”, The 31st AAAI Conference on Artificial Intelligence (AAAI-17), February 4–9, 2017, San Francisco, California, USA. [Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen]

263. “Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion,” MICCAI Workshop on Computational Diffusion MRI (CDMRI 2016), Athens, Greece, Oct. 21, 2016. [Zhanlong Yang, Geng Chen, Dinggang Shen, Pew-Thian Yap]

264. “Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets,” MICCAI Workshop on Computational Diffusion MRI (CDMRI 2016), Athens, Greece, Oct. 21, 2016. [Jian Zhang, Geng Chen, Yong Zhang, Bin Dong, Dinggang Shen, Pew-Thian Yap] (Oral Presentation)

265. “Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks”, MICCAI Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), Athens, Greece, Oct. 21, 2016. [Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen] (Oral Presentation)

266. “Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features”, MICCAI Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), Athens, Greece, Oct. 21, 2016. [Khosro bahrami, Feng Shi, Islem Rekik, Dinggang Shen] (Oral Presentation)

267. “LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images”, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bigMCV 2016), Athens, Greece, Oct. 21, 2016. [Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen]

268. “Landmark-based Alzheimer’s Disease Diagnosis using Longitudinal Structural MR Images”, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bigMCV 2016), Athens, Greece, Oct. 21, 2016. [Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen]

269. “Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI 2016), Athens, Greece, Oct. 17, 2016. [Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen]

270. “Consistent multi-atlas hippocampus segmentation for longitudinal MR brain images with temporal sparse representation”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI 2016), Athens, Greece, Oct. 17, 2016. [Lin Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen]

271. “Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI 2016), Athens, Greece, Oct. 17, 2016. [Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen]

272. “Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI 2016), Athens, Greece, Oct. 17, 2016. [Pei Dong, Yangrong, Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu]

273. “Fast Neuroimaging-based Retrieval for Alzheimer’s Disease Analysis”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Xiaofeng Zhu, Kim-Han Thung, Dinggang Shen]

274. “Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen]

275. “Learning-based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen]

276. “Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen]

277. “Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen]

278. “Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Zhengwang Wu, Sanghyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen]

279. “Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Dinggang Shen]

280. “Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen]

281. “Dual-layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Minjeong Kim,Guorong Wu, Islem Rekik, Dinggang Shen]

282. “Deep Ensemble Sparse Regression Network for Alzheimer’s Disease Diagnosis”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Heung-Il Suk, Dinggang Shen]

283. “Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2016), Athens, Greece, Oct. 17, 2016. [Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu]

284. “Structured Spare Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen]

285. “Stability-Weighted Matrix Completion of Incomplete Multi-Modal Data for Disease Diagnosis”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Kim-Han Thung, Ehsan Eedali, Pew-Thian Yap, Dinggang Shen]

286. “Diagnosis of Alzheimer’s Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-Modality Data”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen]

287. “Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Xiaobo Chen, Han Zhang, Dinggang Shen]

288. “3D Deep Learning for Multi-modal Imaging-guided Survival Time Prediction of Brain Tumor Patients”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen]

289. “Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer’s Disease Diagnosis”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen]

290. “A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen]

291. “Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen]

292. “Structured Sparse Kernel Learning for Imaging Genetics based AD Diagnosis”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Jialin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen]

293. “Learning-based Multimodal Image Registration for Prostate Cancer Radiation Therapy”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen]

294. “7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen]

295. “Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-scale Dataset”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Yu Meng, Gang Li, Li Wang, Weili Lin, John Gilmore, Dinggang Shen]

296. “Feature selection based on iterative canonical correlation analysis for automatic diagnosis of Parkinson’s Disease”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen]

297. “Outcome prediction for patients with high-grade cliomas from brain functional and structural networks”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen] (Oral Presentation)

298. “Learning-based Topological Correction for Infant Cortical Surfaces”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen]

299. “Automatic Cystocele Severity Grading in Ultrasound by Spatio-temporal Regression”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Dong Ni, Xing Ji, Yaozong Gao, Jie-zhi Cheng, Huifang Wang, Jing Qin, Baiying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen]

300. “Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu]

301. “Early Diagnosis of Alzheimer’s Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu] (Oral Presentation)

302. “Progressive Graph-Based Transductive Learning for Multi-Modal Classification of Alzheimer’s Disease”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu]

303. “XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-Local Patch Matching”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap]

304. “Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen]

305. “Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer’s Disease”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Xiaoqian Wang, Dinggang Shen, Heng Huang]

306. “New Multi-Task Learning Model to Predict Alzheimer’s Disease Cognitive Assessment”, MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Zhouyuan Huo, Dinggang Shen, Heng Huang]

307. “Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder,” International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2016), Yangzhou, China, Oct. 12-14, 2016. [Si Wang, Hao Hu, Shanshan Su, Luyan Liu, Zhen Wang, Qian Wang, Dinggang Shen]

308. “Collaborative Multi-View Denoising”, The 22nd ACM SIGKDD International Conference on Knowledge and Data Mining (KDD), San Francisco, Aug. 13-17, 2016. [Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji]

309. “Automated machine learning-based quantification of CSF volumetric changes in serial CT scans following acute ischemic stroke”, IEEE International Symposium on Biomedical Imaging (ISBI), Czech, Apr. 13-16, 2016. [Yasheng Chen, Raj Dhar, Laura Heitsch, Andria Ford, Weili Lin, Dinggang Shen, Hongyu An, Jin-Moo Lee]

310. “Fully Convolutional Networks for Multi-modality Isointense Infant Brain Image Segmentation“, IEEE International Symposium on Biomedical Imaging (ISBI), Czech, Apr. 13-16, 2016. [Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen]

311. “Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis“, Neural Information Processing Systems (NIPS) 2015, Montréal, Canada, Dec. 7-12, 2015. [Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen]

312. “Block-Based Statistics for Robust Non-Parametric Morphometry”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap]

313. “A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Feng Shi, Dinggang Shen]

314. “Automatic Hippocampus Labeling using the Hierarchy of Sub-Region Random Forests”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen]

315. “Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Li Wang, Feng Shi, Yaozong Gao, Gang li, Weili Lin, Dinggang Shen]

316. “Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen]

317. “Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Guorong Wu, Pei Zhang, Qian Wang, Xiaofeng Zhu, Dinggang Shen]

318. “Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen]

319. “Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Qian Wang, Guorong Wu, Dinggang Shen]

320. “Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph”, MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015. [Pei Dong, Yangrong Guo, Dinggang Shen, Guorong Wu]

321. “Hierarchical Multi-modal Image Registration by Learning Common Feature Representations”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen]

322. “Predicting Standard-dose PET Image from Low-dose PET and Multimodal MR Images Using Mapping-based Sparse Representation”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David Lalush, Weili Lin, Dinggang Shen]

323. “Identification of Infants at Risk for Autism Using Multi-Parameter Hierarchical White Matter Connectomes”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Yan Jin, Chong-Yaw Wee, Feng Shi, KimHan Thung, Pew-Thian Yap, Dinggang Shen]

324. “Soft-split Sparse Regression Based Radom Forest for Predicting Future Clinical Scores of Alzheimer’s Disease”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Lei Huang, Yaozong Gao, Yan Jin, KimHan Thung, Dinggang Shen]

325. “Multi-atlas Context Forests for Knee MR Image Segmentation“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen]

326. “Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Zuoyong Li, Le An, Jun Zhang, Li Wang, James Xia, Dinggang Shen] (Oral Presentation)

327. “Inherent Structure-guided Multi-view Learning for Alzheimer’s Disease and Mild Cognitive Impairment Classification“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Mingxia Liu, Daoqiang Zhang, Dinggang Shen]

328. “Multi-View Classification for Identification of Alzheimer’s Disease“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Guorong Wu, Dinggang Shen]

329. “Soft-Split Random Forest for Anatomy Labeling“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen] (Oral Presentation)

330. “Multi-Source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015. [Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen]

331. “Dynamic Tree-Based Large-Deformation Image Registration for Multi-Atlas Segmentation“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen]

332. “Hippocampus Segmentation from Infant Brains via Boundary Regression“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen]

333. “Subject-specific Estimation of Missing Cortical Thickness in Dynamic Developing Infant Brains“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Yu Meng, Gang Li, Yaozhong Gao, John H. Gilmore, Weili Lin, Dinggang Shen] (Oral Presentation)

334. “Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosis“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen]

335. “Automated Segmentation of CBCT Image with Prior-guided Sequential Random Forest“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Li Wang, Yaozong Gao, Feng Shi, Gang Li, James Xia, Dinggang Shen] (Oral Presentation)

336. “Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosis“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Mingxia Liu, Daoqiang Zhang, Ehsan Adeli Mosabbeb, Dinggang Shen] (Oral Presentation)

337. “Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer“, MICCAI Workshop on Computational Diffusion MRI (CDMRI’15), Munich, Germany, Oct. 9, 2015. [Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap]

338. “Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo“, MICCAI Workshop on Computational Diffusion MRI (CDMRI’15), Munich, Germany, Oct. 9, 2015. [Haiyong Wu, Geng Chen, Dinggang Shen, Pew-Thian,Yap]

339. “Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation“, MICCAI Workshop on Computational Diffusion MRI (CDMRI’15), Munich, Germany, Oct. 9, 2015. [Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen] (Oral Presentation)

340. “Brain Tissue Segmentation Based on Diffusion MRI Using L0 Sparse-Group Representation Classification”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Pew-Thian Yap, Yong Zhang, Dinggang Shen]

341. “Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Pew-Thian Yap, Yong Zhang, Dinggang Shen]

342. “Iterative Subspace Screening for Rapid Sparse Estimation of Micro-Structural Properties”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Pew-Thian Yap, Yong Zhang, Dinggang Shen]

343. “MCI Identification by Joint Learning on Multiple MRI Data”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen]

344. “Medical Image Retrieval using Multi-Graph Learning for MCI Diagnostic Assistance”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yue Gao, Ehsan Adeli-M., Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen]

345. “Topography-based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Islem Rekik, Gang Li, Weili Lin, Dinggang Shen] (Oral Presentation)

346. “Hierarchical Reconstruction of 7T-like Images from 3T MRI using Multi-Level CCA and Group Sparsity”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen]

347. “Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen]

348. “Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen]

349. “Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Kim-Han Thung, Ehsan Adeli-M, Pew-Thian Yap, Dinggang Shen]

350. “Multi-atlas based Segmentation Editing with Interaction-Guided Constraints”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Sang Hyun Park, Yaozong Gao, Dinggang Shen]

351. “Cortical Surface-based Construction of Individual Structural Network with Application to Early Brain Development Study”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yu Meng, Gang Li, Weili Lin, Dinggang Shen]

352. “Automatic Craniomaxillofacial Landmark Digitization via Segmentation-guided Partially-joint Regression Forest Model”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James Xia, Dinggang Shen]

353. “Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yaozong Gao, Jun Lian, Dinggang Shen]

354. “Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen]

355. “Parcellation of Infant Surface Atlas using Developmental Trajectories of Multidimensional Cortical Attributes”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Gang Li, Li Wang, John Gilmore, Weili Lin, Dinggang Shen]

356. “Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Yantao Song, Guorong Wu, Quansen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen]

357. “A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Heung-Il Suk, Seong-Whan Lee, Dinggang Shen]

358. “Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser]

359. “Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning”, MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser]

360. “Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image”, CCCV 2015, Xi’an, China, September 18-20, 2015. [Qian Wang, Guorong Wu, Min-Jeong Kim, Lichi Zhang, Dinggang Shen]

361. “Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-based Learning Framework”, IPMI 2015, Scotland, June 28 – July 3, 2015. [Islem Rekik, Gang Li, Weili Lin, Dinggang Shen]

362. “Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI”, IPMI 2015, Scotland, June 28 – July 3, 2015. [Jian Cheng, Dinggang Shen, Peter Basser, Pew-Thian Yap]

363. “Discriminative Multi-Task Feature Selection for Multi-modality Based AD/MCI Classification”, The 5th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Stanford University, June 10-12 2015. [Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang]

364. “Automatic Parcellation of Cortical Surfaces using Random Forests“, 2015 IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, Apr. 16-19, 2015.[Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen] (Oral Presentation)

365. “Collaborative Non-Local Means Denoising of Magnetic Resonance Images“, 2015 IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, Apr. 16-19, 2015.[Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap]

366. “Joint Labeling of Multiple Regions of Interest (ROIs) by Enhanced Auto Context Models“, 2015 IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, Apr. 16-19, 2015.[Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen] (Oral Presentation)

367. “Motion-guided resolution enhancement for lung 4D-CT”, International Conference Control, Automation, Robotics and Vision (ICARCV), Dec 10-12, 2014, Singapore. [Arnav Bhavsar, Guorong Wu, Dinggang Shen]

368. “Detection and Analysis of T2DM Biomarkers from Brain MR Images Using BrainLab“, The 7th International Conference on BioMedical Engineering and Informatics (BMEI), pp. 143-147, October 14-16, 2014, Dalian, China. [Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai]

369. “Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Yanrong Guo, Guorong Wu, Leah Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen]

370. “Clustering-Induced Multi-Task Learning for AD/MCI Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Heung-Il Suk, Dinggang Shen]

371. “Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Jian Cheng, Dinggang Shen, Pew-Thian Yap]

372. “Hierarchical Label Fusion with Multiscale Feature Representation and Label-specific Patch Partition”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Guorong Wu, Dinggang Shen]

373. “A Novel Multi-Relation Regularization Method for Regression and Classification in AD Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]

374. “Multi-Modality Canonical Feature Selection for Alzheimer’s Disease Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]

375. “Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen] (Oral Presentation)

376. “Robust Anatomical Landmark Detection for MR Brain Image Registration”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen]

377. “Multiple-Network Classification of Childhood Autism using Functional Connectivity Dynamics”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen]

378. “Brain Connectivity Hyper-network for MCI Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Biao Jie, Dinggang Shen, Daoqiang Zhang]

379. “Maximum-Margin based Representation Learning from Multiple Atlases for Alzheimer’s Disease Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen]

380. “Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji]

381. “Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken Chung Chen, Jianfu Li, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, James Xia, Dinggang Shen]

382. “Max-margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen]

383. “Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images”, MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA), Boston, USA, Sep. 18, 2014. [Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen] (Oral Presentation)

384. “LINKS: Learning-based Multi-source IntegratioN frameworK for Segmentation of Infant Brain Images“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2014), Boston, USA, Sep. 18, 2014. [Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen] (Oral Presentation)

385. “Atlas-guided Multi-channel Forest Learning for Human Brain Labeling“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2014), Boston, USA, Sep. 18, 2014. [Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen] (Oral Presentation)

386. “CT Prostate Segmentation by Boundary Regression“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2014), Boston, USA, Sep. 18, 2014. [Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen] (Oral Presentation)

387. “Joint Segmentation and Registration for Infant Brain images“, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2014), Boston, USA, Sep. 18, 2014. [Guorong Wu, Li Wang, John Gilmore, Weili Lin, and Dinggang Shen] (Oral Presentation)

388. “Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Qian Wang, Guorong Wu, Li Wang, Weili Lin, and Dinggang Shen]

389. “Hierarchical Learning of Atlas Forests for Automatic Labeling of MR Brain Images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen]

390. “Sparse Discriminative Feature Selection for Multi-Class Alzheimer’s Disease Classification“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]

391. “Novel Multi-Atlas Segmentation by Matrix Completion“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Gerard Sanroma, Guorong Wu, Kim-Ham Thung, Yanrong Guo, Dinggang Shen]

392. “Robust Deep Learning for Improved Classification of AD/MCI Patients“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Feng Li, Loc Tran, Kim-Ham Thung, Shuiwang Ji, Dinggang Shen, Jiang Li]

393. “Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Yaozong Gao, Dinggang Shen]

394. “Interactive Prostate Segmentation based on Adaptive Feature Selection and Manifold Regularization“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Sanghyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen]

395. “Prediction of Standard-dose PET Image by Low-dose PET and MRI Images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen]

396. “Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen]

397. “In Vivo MRI based Prostate Cancer Identification with Random Forests and Auto-context Model“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Chunjun Qian, Li Wang, Dinggang Shen] (Oral Presentation)

398. “Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014. [Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen] (Oral Presentation)

399. “Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis“, CVPR 2014, Columbus, Ohio, USA, June 24-27, 2014. [Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen] (Oral Presentation)

400. “Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer’s Disease Diagnosis“, CVPR 2014, Columbus, Ohio, USA, June 24-27, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]

401. “Learning-Based Atlas Selection for Multiple-Atlas Segmentation“, CVPR 2014, Columbus, Ohio, USA, June 24-27, 2014. [Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen]

402. “MRI Based Attenuation Correction for PET/MRI via MRF Segmentation and Sparse Regression Estimated CT“, 2014 IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, Apr. 28 – May 2, 2014. [Yasheng Chen, Meher Juttukonda, Yueh Lee, Yi Su, Felipe Espinoza, Weili Lin, Dinggang Shen, David Lalush, Hongyu An]

403. “Tailor the Longitudinal Analysis for NIH Longitudinal Normal Brain Developmental Study“, 2014 IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, Apr. 28 – May 2, 2014. [Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin]

404. “Spatial Distribution and Longitudinal Development of Deep Cortical Sulcal Landmarks in Infants“, 2014 IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, Apr. 28 – May 2, 2014. [Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen]

405. “Connectomics Signature for Characterization of Mild Cognitive Impairment and Schizophrenia“, 2014 IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, Apr. 28 – May 2, 2014. [Dajiang Zhu, Dinggang Shen, Tianming Liu]

406. “Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images“, MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging (CSI 2013), Nagoya, Japan, Sep. 22, 2013. [Q. Wang, L. Lu, D. Wu, N. El-Zehiry, D. Shen, S. K. Zhou] (Oral Presentation)

407. “Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images”, MICCAI Workshop on Medical Imaging and Augmented Reality (MIAR 2013), Nagoya, Japan, Sep. 22, 2013. [Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen]

408. “Sparse Multimodal Manifold-regularized Transfer Learning for MCI Conversion Prediction“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen]

409. “Identification of Alzheimer’s Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap and Dinggang Shen]

410. “Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Manhua Liu, Heung-Il Suk, Dinggang Shen]

411. “Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, and Dinggang Shen]

412. “Integrating Multiple Network Properties for MCI Identification“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Heung-Il Suk, and Dinggang Shen] (Oral Presentation)

413. “Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Minjeong Kim, Guorong Wu, Dinggang Shen] (Oral Presentation)

414. “Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification“, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013. [Heung-Il Suk, Chong-Yaw Wee, and Dinggang Shen]

415. “Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap“, MICCAI Workshop on Computational Diffusion MRI (CDMRI’13), Nagoya, Japan, Sep. 22, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen] (Oral Presentation)

416. “Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation“, MICCAI Workshop on Computational Diffusion MRI (CDMRI’13), Nagoya, Japan, Sep. 22, 2013. [Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap] (Oral Presentation)

417. “Deep Learning-based Feature Representation for AD/MCI Classification“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Heung-Il Suk, and Dinggang Shen]

418. “Inter-Modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]

419. “High-order Graph Matching based Feature Selection for Alzheimer’s Disease Identification“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]

420. “Multi-Atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen] (Oral Presentation)

421. “Automated segmentation of CBCT image using spiral CT atlases and convex optimization“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Li Wang, Ken Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen]

422. “Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Li Wang, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen]

423. “Manifold Regularized Multi-task Feature Selection for Multi-modality Classification in Alzheimer’s Disease“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen]

424. “Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Arnav Bhavsar, Guorong Wu, Dinggang Shen]

425. “Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Shu Liao, Yaozong Gao, and Dinggang Shen]

426. “Unsupervised Deep Feature Learning for Deformable Image Registration of MR Brains“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Guorong Wu, Qian Wang, Minjeong Kim, Shu Liao, Yaozong Gao, and Dinggang Shen]

427. “Minimizing Joint Risk of Mislabeling for Iterative Patch-based Label Fusion“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Guorong Wu, Feiping Nie, Qian Wang, Shu Liao, Daoqiang Zhang, and Dinggang Shen]

428. “Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Yaozong Gao, Yiqiang Zhan, Dinggang Shen]

429. “Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Chong-Yaw Wee, Yang Li, Biao Jie, Zi-wen Peng, and Dinggang Shen]

430. “Low-Rank Total Variation for Image Super-Resolution“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, and Dinggang Shen]

431. “A Generative Model for Resolution Enhancement of Diffusion MRI Data“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]

432. “Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]

433. “Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap] (Oral Presentation)

434. “Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap]

435. “Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI“, MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu]

436. “Groupwise Registration via Graph Shrinkage on the Image Manifold”, CVPR 2013, June 25-27, 2013, Oregon, USA. [Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen]

437. “Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso (SCOTO)”, CVPR 2013, June 25-27, 2013, Oregon, USA. [Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, and Dinggang Shen]

438. “Discriminative Brain Effective Connectivity Analysis for Alzheimer’s Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network”, CVPR 2013, June 25-27, 2013, Oregon, USA. [Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen]

439. “Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration“, IPMI 2013, Asilomar, California, USA, Jun. 29 – Jul. 3, 2013. [Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen].

440. “The Non-Local Bootstrap – Estimation of Uncertainty in Diffusion MRI“, IPMI 2013, Asilomar, California, USA, Jun. 29 – Jul. 3, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen] (Oral Presentation)

441. “Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization“, IPMI 2013, Asilomar, California, USA, Jun. 29 – Jul. 3, 2013. [Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen]

442. “Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models“, IPMI 2013, Asilomar, California, USA, Jun. 29 – Jul. 3, 2013. [Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu] (Oral Presentation)

443. “Inter-group Image Registration by Hierarchical Graph Shrinkage“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen] (Oral Presentation)

444. “MR Prostate Segmentation via Distributed Discriminative Dictionary (DDD) Learning“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen]

445. “Kernel-based Multi-task Joint Sparse Classification for Alzheimer’s Disease“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Yaping Wang, Manhua Liu, Lei Guo, Dinggang Shen]

446. “Measuring Longitudinally Dynamic Cortex Development in Infants by Reconstruction of Consistent Cortical Surfaces“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen]

447. “Patch-driven Neonatal Brain MRI Segmentation with Sparse Representation and Level Sets“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen] (Oral Presentation)

448. “Inferring Functional Network-based Signatures via Structurally-weighted LASSO Model“, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. [Dajiang Zhu, Dinggang Shen, Tianming Liu]

449. “Consistent 4D brain extraction of serial brain MR images“, SPIE Medical Imaging 2013, Florida, Feb. 2013. [Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen]

450. “Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease”, MLMI 2012, Nice, France, Oct. 1, 2012. [Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen]

451. “Dense Deformation Reconstruction via Sparse Coding”, MLMI 2012, Nice, France, Oct. 1, 2012. [Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen]

452. “Group Sparsity Constrained Automatic Brain Label Propagation“, MLMI 2012, Nice, France, Oct. 1, 2012. [Shu Liao, Daoqiang Zhang, Pew Thian Yap, Guorong Wu, Dinggang Shen]

453. “Transductive Prostate Segmentation for CT Image Guided Radiotherapy”, MLMI 2012, Nice, France, Oct. 1, 2012. [Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen]

454. “Sparse Patch-guided Deformation Estimation for Improved Image Registration“, MLMI 2012, Nice, France, Oct. 1, 2012. [Minjeong Kim, Guorong Wu, and Dinggang Shen]

455. “Partition Cortical Surfaces into Supervertices: Method and Application“, MeshMed 2012, Nice, France, Oct. 1, 2012. [Gang Li, Jingxin Nie and Dinggang Shen]

456. “Structural Feature Selection for Connectivity Network-Based MCI Diagnosis“, MBIA 2012, Nice, France, Oct. 1, 2012. [Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen]

457. “Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation“, MBIA 2012, Nice, France, Oct. 1, 2012. [Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen]

458. “DWI Denoising Using Spatial, Angular, and Radiometric Filtering“, MBIA 2012, Nice, France, Oct. 1, 2012. [Pew-Thian Yap, Dinggang Shen]

459. “Groupwise Segmentation Improves Neuroimaging Classification Accuracy“, MBIA 2012, Nice, France, Oct. 1, 2012. [Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen]

460. “4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement“, STIA 2012, Nice, France, Oct. 1, 2012. [Li Wang, Feng Shi, Gang Li, Dinggang Shen]

461. “Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint“, MCV 2012, Nice, France, Oct. 1, 2012. [Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen]

462. “Multiple Atlases-based Joint Labeling of Human Cortical Sulcal Curves“, MCV 2012, Nice, France, Oct. 1, 2012. [Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen]

463. “Robust Patch-Based Multi-Atlas Labeling by Joint Sparsity Regularization“, STMI 2012, Nice, France, Oct. 1, 2012. [Guorong Wu, Qian Wang, Daoqiang Zhang, and Dinggang Shen]

464. “Longitudinal lateral ventricle morphometry related to prenatal measures as a biomarker of normal development”, MICCAI workshop on Paediatric and Perinatal Imaging (PaPI) 2012, Nice, France, Oct. 1, 2012. [Amanda E. Lyall, Beatriz Paniagua, Zhaohua Lu, Hongtu Zhu, Feng Shi, Weili Lin, Dinggang Shen, John H. Gilmore and Martin Styner]

465. “Sparse Patch based Prostate Segmentation in CT Images“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Shu Liao, Yaozong Gao, and Dinggang Shen]

466. “Non-local Means Resolution Enhancement of Lung 4D-CT Data“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen]

467. “Prostate Segmentation by Sparse Representation based Classification”, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Yaozong Gao, Shu Liao, Dinggang Shen]

468. “Constrained Sparse Functional Connectivity Networks for MCI Classification“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen]

469. “Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Guorong Wu, Minjeong Kim, Qian Wang, and Dinggang Shen]

470. “Tree-Guided Sparse Coding for Brain Disease Classification“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen]

471. “Atlas Construction via Dictionary Learning and Group Sparsity”, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, and Dinggang Shen]

472. “Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Daoqiang Zhang, Jun Liu, Dinggang Shen]

473. “Domain Transfer Learning for MCI Conversion Prediction“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Bo Cheng, Daoqiang Zhang, Dinggang Shen]

474. “Spatial Warping of DWI Data Using Sparse Representation“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Pew-Thian Yap, Dinggang Shen]

475. “Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Pew-Thian Yap, Dinggang Shen]

476. “Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Pei Zhang, Pew-Thian Yap, Dinggang Shen, Tim Cootes]

477. “Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images“, MICCAI 2012, Nice, France, Oct. 1-5, 2012. [Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]

478. “Reconstruction of Super-Resolution Lung 4D-CT Using a Patch-Based Sparse Representation“, CVPR 2012, Providence, Rhode Island, USA, Jun. 18-20. [Yu zhang, Guorong Wu, Pew-Thian Yap, Qianjin feng, Jun Lian, Wufan Chen, Dinggang Shen]

479. “Multi-Contrast Diffusion Tensor Image Registration with Structural MRI“, ISBI 2012, Barcelona, Spain, May 2-5, 2012. [Xiujuan Geng, Martin Styner, Aditya Gupta, Dinggang Shen, John Gilmore]

480. “Identification of Breast Vascular Calcium Deposition in Digital Mammography by Linear Structure Analysis“, ISBI 2012, Barcelona, Spain, May 2-5, 2012. [Jie-Zhi Cheng, Chung-Ming Chen, Dinggang Shen]

481. “A Learning based Hierarchical Framework for Automatic Prostate Localization in CT Images“, Prostate Cancer Imaging, MICCAI 2011 Workshop, Toronto, Canada, Sep. 18, 2011. [Liao Shu, and Dinggang Shen] 

482. “Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images“, Multimodal Brain Image Analysis (MBIA 2011), Toronto, Canada, Sep. 18, 2011. [Li Wang, Feng Shi, Pew Thian Yap, John H Gilmore, Weili Lin, and Dinggang Shen].

483. “Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer’s Disease“, Multimodal Brain Image Analysis (MBIA 2011), Toronto, Canada, Sep. 18, 2011. [Daoqiang Zhang, and Dinggang Shen]

484. “MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer’s Disease“, MLMI 2011, Toronto, Canada, Sep. 18, 2011. [Daoqiang Zhang, and Dinggang Shen] 

485. “Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression“, MLMI 2011, Toronto, Canada, Sep. 18, 2011. [Bo Cheng, Daoqiang Zhang, Songcan Chen, and Dinggang Shen] 

486. “Directed Graph Based Image Registration“, MLMI 2011, Toronto, Canada, Sep. 18, 2011. [Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, and Dinggang Shen] 

487. “Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models“, MLMI 2011, Toronto, Canada, Sep. 18, 2011. [Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, and Dinggang Shen]

488. “Learning Statistical Correlation of Prostate Deformations for Fast Registration“, MLMI 2011, Toronto, Canada, Sep. 18, 2011. [Yonghong Shi, Shu Liao, and Dinggang Shen] 

489. “A Computational Growth Model for Cortical Development in the First Year of Life“, Image Analysis of Human Brain Development (IAHBD 2011), Toronto, Canada, Sep. 22, 2011. [Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin, and Dinggang Shen] 

490. “Diffusion Tensor Image Registration with Combined Tract and Tensor Features“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen] 

491. “Fiber Modeling and Clustering Based on Neuroanatomical Features“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen] 

492. “Learning-based Meta-Algorithm for MRI Brain Extraction“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Feng Shi, Li Wang, John H. Gilmore, Weili Lin, and Dinggang Shen]

493. “Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen]

494. “Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen]

495. “Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen]

496. “Confidence-Guided Sequential Label Fusion for Multi-Atlas Based Segmentation“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen]

497. “Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Gang Li, Jingxin Nie, Dinggang Shen]

498. “Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Guorong Wu, Qian Wang, Jun Lian, and Dinggang Shen]

499. “Identification of Individuals with MCI via Multimodality Connectivity Networks“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen] 

500. “Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy“, MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011. [Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen]

501. “A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences“, IPMI 2011, Monastery Irsee, Germany, July 3-8, 2011. [Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen]

502. “Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration“, IPMI 2011, Monastery Irsee, Germany, July 3-8, 2011. [Guorong Wu, Qian Wang, Jun Lian, and Dinggang Shen]

503. “Hierarchical Anatomical Brain Networks for MCI Prediction by Partial Least Square Analysis“, CVPR 2011, Colorado Springs, U.S.A, Jun 21-23, 2011. [Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, and Dinggang Shen]

504. “Consistent Sulcal Parcellation of Longitudinal Cortical Surfaces“, ISBI 2011, Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011. [Gang Li, Yang Li, Yaping Wang, Dinggang Shen]

505. “Learning-based Prostate Location for Image Guided Radiation Therapy“, ISBI 2011, Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011. [Luping Zhou, Shu Liao, Wei Li, Dinggang Shen] 

506. “iTREE: Fast and Accurate Image Registration Based on the Combinative and Incremental Tree“, ISBI 2011, Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011. [Hongjun Jia, Guorong‎ Wu, Qian‎ Wang, Min-Jeong‎ Kim, Dinggang Shen] 

507. “Automated DNA Fiber Tracking and Measurement“, ISBI 2011, Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011. [Yaping Wang, Paul Chastain, Pew-Thian Yap, Jie-Zhi Cheng, David Kaufman, Lei Guo, Dinggang Shen]

508. “Groupwise Registration of Breast DCE-MR Images for Accurate Tumor Measurement“, ISBI 2011, Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011. [Minjeong Kim, Guorong Wu, Dinggang Shen]

509. “Semi-supervised Multimodal Classification of Alzheimer’s Disease“, ISBI 2011, Chicago, Illinois, U.S.A, Mar. 30-Apr. 2, 2011. [Daoqiang Zhang, Dinggang Shen]

510. “Accurate Identification of MCI Patients Via Enriched White-Matter Connectivity Network“, MLMI 2010, Beijing, China, Sep. 20, 2010. [Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Jeffery Browndyke, Guy G. Potter, David C. Steffens, Kathleen A. Welsh-Bohmer, Lihong Wang and Dinggang Shen]

511. “Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method“, MIAR 2010, Beijing, China, Sep. 19-20, 2010. [Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen]

512. “Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features“, MIAR 2010, Beijing, China, Sep. 19-20, 2010. [Qian Wang, Pew-Thian Yap,Hongjun Jia, Guorong Wu, and Dinggang Shen]

513. “Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images“, MIAR 2010, Beijing, China, Sep. 19-20, 2010. [Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, and Dinggang Shen]

514. “Hierachical Spherical-Harmonics Based Deformable HARDI Registration“, MIAR 2010, Beijing, China, Sep. 19-20, 2010. [Pew-Thian Yap, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen]

515. “Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010. [Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen and Weili Lin]

516. “Multiple Cortical Surface Correspondence using Pairwise Shape Similarity“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010.[Pahal Dalal, Dinggang Shen, Feng Shi, Song Wang]

517. “Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010.[Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen]

518. “Groupwise Registration by Hierarchical Anatomical Correspondence Detection“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010. [Guorong Wu, QianWang, Hongjun Jia, and Dinggang Shen]

519. “Groupwise Registration with Sharp Mean“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010. [Guorong Wu, Hongjun Jia, Qian Wang, and Dinggang Shen]

520. “Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010. [Guorong Wu, Qian Wang, Hongjun Jia, and Dinggang Shen]

521. “A Generalized Learning Based Framework for Fast Brain Image Registration“, MICCAI 2010, Beijing, China, Sep. 20-24, 2010. [Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen]

522. “ABSORB: Atlas Building by Self-Organized Registration and Bundling“, CVPR 2010, San Francisco, CA, Jun. 13 to 18, 2010. [Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen] (free software package available)

523. “Joint Estimation of Multiple Clinical Variables of Neurological Diseases From Imaging Patterns“, ISBI 2010, Rotterdam, The Netherlands, Apr. 14 to 17, 2010. [Yong Fan, Daniel Kaufer, Dinggang Shen]

524. “Groupwise Registration from Exemplar to Group Mean: Extending HAMMER to Groupwise Registration“, ISBI 2010, Rotterdam, The Netherlands, Apr. 14 to 17, 2010. [Guorong Wu, Pew-Thian Yap, Qian Wang, and Dinggang Shen]

525. “Neonatal Brain MRI Segmentation by Building Multi-Region-Multi-Reference Atlases“, ISBI 2010, Rotterdam, The Netherlands, Apr. 14 to 17, 2010. [Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, and Dinggang Shen]

526. “Attribute Vector Guided Groupwise Registration“, MICCAI 2009, London, UK, Sept. 20 to 24, 2009. [Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen]

527. “Fast Tensor Image Morphing for Elastic Registration“, MICCAI 2009, London, UK, Sept. 20 to 24, 2009. [Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen]

528. “Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins“, MICCAI 2009, London, UK, Sept. 20 to 24, 2009. [Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John Gilmore, Weili Lin]

529. “Detection of Arterial Calcification in Mammograms by Random Walks“, IPMI 2009, Williamsburg, VA, July 5-10, 2009. [Jie-Zhi Cheng, Elodia Cole, Etta D. Pisano, Dinggang Shen]

530. “MARM: Multiscale Adaptive Regression Models for Neuroimaging Data“, IPMI 2009, Williamsburg, VA, July 5-10, 2009. [Hongtu Zhu, Yimei Li, Joseph Ibrahim, Weili Lin, Dinggang Shen]

531. “Segmenting CT prostate images using population and patient-specific statistics for radiotherapy“, ISBI 2009, June 28 – July 1, 2009 in Boston, Massachusetts. [Qianjin Feng, Mark Foskey, Songyuan Tang, Wufan Chen, Dinggang Shen]

532. “TIMER: Tensor Image Morphing for Elastic Registration“, MMBIA 2009, Miami Beach, Florida, June 20th, 2009. [Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen]

533. “Cortical Enhanced Tissue Segmentation of Neonatal Brain MR Images Acquired by a Dedicated Phased Array Coil“, MMBIA 2009, Miami Beach, Florida, June 20th, 2009. [Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence Wald, Guido Gerig, Weili Lin, Dinggang Shen]

534. “Regularization of Diffusion Tensor Field Using Coupled Robust Anisotropic Diffusion“, MMBIA 2009, Miami Beach, Florida, June 20th, 2009. [Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen]

535. “Non-Rigid Registration between Histological and MR Images in 3D: Application to the Prostate“, MMBIA 2009, Miami Beach, Florida, June 20th, 2009. [Yangming Ou, Dinggang Shen, Mark Rosen, Michael Feldman, John Tomaszewski, Christos Davatzikos]

536. “RABBIT: Rapid Alignment of Brains by Building Intermediate Templates“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Songyuan Tang, Yong Fan, Min-Jeong Kim, Dinggang Shen]

537. “Integrated feature extraction and selection for neuroimage classification“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Yong Fan, Dinggang Shen]

538. “Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen]

539. “Group-wise registration of large image dataset by hierarchical clustering and alignment“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Qian Wang, Liya Chen, Dinggang Shen]

540. “RADTI: Regression analysis of diffusion tensor“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Dinggang Shen]

541. “Longitudinal analysis of neuroimaging data“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen]

542. “Hierarchical unbiased group-wise registration for atlas construction and population comparison“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John H. Gilmore, Weili Lin]

543. “Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation“, SPIE Medical Imaging 2009, Florida, Feb. 2009. [Zhong Xue, Dinggang Shen, Stephen T. Wong]

544. “Fast Histogram Equalization for Medical Image Enhancement“, IEEE EMBS’08, Vancouver, British Columbia, Canada, August 20-24, 2008. [Qian Wang, Liya Chen, Dinggang Shen]

545. “Optimized Biopsy Procedures for Estimating Gleason Score and Prostate Cancer Volume“, MICCAI 2008 Prostate Workshop, New York, Sept. 2008. [Yangming Ou, Dinggang Shen, Yong Fan, Jianchao Zeng, Leon Sun, Christos Davatzikos]

546. “Hierarchical Shape Statistical Models for Segmentation of Lung Fields in Chest Radiographs“, MICCAI 2008, New York, Sept. 2008. [Yonghong Shi, Dinggang Shen]

547. “Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-wise Registration of Inversion Recovery MR Breast Images“, MICCAI 2008, New York, Sept. 2008. [Xing Ye, Mitch Schnall, Dinggang Shen]

548. “Robust brain registration using adaptive probabilistic atlas“, MICCAI 2008, New York, Sept. 2008. [Jaime Ide, Rong Chen, Dinggang Shen and Edward H Herskovits]

549. “Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features“, MICCAI 2008, New York, Sept. 2008. [Jinzhong Yang, Dinggang Shen, Christos Davatzikos and Ragini Verma]

550. “Learning-based Deformation Estimation for Fast Non-rigid Registration“, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), June 27th – 28th, 2008, Anchorage, Alaska. [Min-Jeong Kim, Myoung-Hee Kim, Dinggang Shen]

551. “Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs“, MIAR, Japan, August 2008. [Yonghong Shi, Dinggang Shen]

552. “Application and Validation of Registration Framework for Real-time Atlas guided Biopsy“, The Fifth IEEE International Symposium on Biomedical Imaging (ISBI ’08), Paris, France, May 14-17, 2008. [Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, David Crawford, Albaha Barqawi, Priya Werahera, Dinesh Kumar, Jasjit Suri]

553. “3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance“, SPIE Medical Imaging 2008, San Diego, Feb 2008. [Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, David E. Crawford, Al Baha Barqawi, Priya Werahera, Dinesh Kumar, Jasjit S. Suri]

554. “Parallel optimization of tumor model parameters for fast registration of brain tumor images“, SPIE Medical Imaging 2008, San Diego, Feb 2008. [Evangelia I. Zacharaki, Cosmina S. Hogea, Dinggang Shen, George Biros, Christos A. Davatzikos]

555. “Spatial Normalization of Diffusion Tensor Images Based on Anisotropic Segmentation“, SPIE Medical Imaging 2008, San Diego, Feb 2008. [Jinzhong Yang, Dinggang Shen, Chandan Misra, Xiaoying Wu, Susan Resnick, Christos Davatzikos, Ragini Verma]

556. “Application of Statistical Cancer Atlas for 3D Biopsy“, The 20th Annual IS&T/SPIE Symposium on Electronic Imaging, San Jose, California USA, 27-31 January 2008. [Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, E David Crawford, Albaha Barqawi, Priya Werahera, Dinesh Kumar and Jasjit S Suri]

557. “Effect of Hierarchical Deformable Motion Compensation on Image Enhancement for DSA Acquired via C-ARM“, The 20th Annual IS&T/SPIE Symposium on Electronic Imaging, San Jose, California USA, 27-31 January 2008. [Liyang Wei, Dinggang Shen, Dinesh Kumar, Ram Turlapati, Jasjit S. Suri]

558. “Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework“, MMBIA, Rio de Janeiro, Brasil, Oct 14-15, 2007. [Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi Yu, Dinggang Shen, Chandra Kambhamettu]

559. “Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Image“, MICCAI, Brisbane, Australia, November 2007. [Yuanjie Zheng, Sajjad Baloch, Sarah Englander, Mitchell D. Schnall, Dinggang Shen]

560. “De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration“, MICCAI, Brisbane, Australia, November 2007. [Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sarah Englander, Mitchell D. Schnall, Dinggang Shen]

561. “Fast and Robust Rigid Registration using Spatially Adaptive Similarity Measures“, MICCAI, Brisbane, Australia, November 2007. [Hari Sundar, Dinggang Shen, George Biros, Chenyang Xu, Christos Davatzikos]

562. “Motion correction strategies for interventional angiography images: a comparative approach“, ICIP, 2007. [Dinesh Kumar, Dinggang Shen, Liyang Wei, Ram Turlapthi, Jasjit S. Suri,]

563. “Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images“, IPMI, The Netherlands, July 2-6, 2007. [Guorong Wu, Feihu Qi, Dinggang Shen]

564. “Simultaneous Estimation and Segmentation of T1 Map For Breast Parenchyma Measurement“, Fourth IEEE International Symposium on Biomedical Imaging (ISBI 2007), April 12-15, 2007, Metro Washington, D.C., USA. [Ye Xing, Sarah Englander, Mitchell Schnall, Dinggang Shen]

565. “STEP: Spatial-Temporal Enhancement Pattern, for MR-based Breast Tumor Diagnosis“, Fourth IEEE International Symposium on Biomedical Imaging (ISBI 2007), April 12-15, 2007, Metro Washington, D.C., USA. [Yuanjie Zheng, Sarah Englander, Mitchell D. Schnall, Dinggang Shen]

566. “Statistically-Constrained Deformable Registration of MR Brain Images“, Fourth IEEE International Symposium on Biomedical Imaging (ISBI 2007), April 12-15, 2007, Metro Washington, D.C., USA. [Zhong Xue, Dinggang Shen]

567. “Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics“, MICCAI, October 1-6, 2006, Denmark. [Yonghong Shi, Feihu Qi, Zhong Xue, Kyouko Itoh, Hidenori Matsuo, Dinggang Shen]

568. “Registering Histological and MR Images of Prostate for Image-based Cancer Detection“, MICCAI, October 1-6, 2006, Denmark. [Yiqiang Zhan, Michael Feldman, John Tomaszewski, Christos Davatzikos, Dinggang Shen]

569. “Diagnosis of Brain Abnormality Using both Structural and Functional MR Images“, IEEE EMBS, August 30-Sept. 3, 2006, New York City, NY, USA. [Yong Fan, Hengyi Rao, Joan Giannetta, Hallam Hurt, Jiongjiong Wang, Christos Davatzikos, Dinggang Shen]

570. “A General Learning Framework for Non-rigid Image Registration“, International Workshop on Medical Imaging and Augmented Reality (MIAR’06), August 17-18, 2006, Shanghai, China. [Guorong Wu, Feihu Qi, Dinggang Shen]

571. “Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors“, IEEE Workshop on Mathematical Methods in Biomedical Image (MMBIA 2006), June 17-18, 2006, New York City, NY, USA. [Zhong Xue, Dinggang Shen, Christos Davatzikos]

572. “Decoding Cognitive States from fMRI images of Subjects by Machine Learning and Multivariate Classification”, IEEE Workshop on Mathematical Methods in Biomedical Image (MMBIA 2006), June 17-18, 2006, New York City, NY, USA. [Yong Fan, Dinggang Shen, Christos Davatzikos]

573. “Improve Brain Registration Using Machine Learning Methods“, Third IEEE International Symposium on Biomedical Imaging (ISBI 2006), April 6-9, 2006, Arlington, VA, USA. [Guorong Wu, Feihu Qi, Dinggang Shen]

574. “Automated Segmentation of White Matter Lesions in 3D Brain MR Images, Using Multivariate Pattern Classification“, Third IEEE International Symposium on Biomedical Imaging (ISBI 2006), April 6-9, 2006, Arlington, VA, USA. [Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karacali, Dengfeng Liu, Elias Melhem, Nick Bryan, Christos Davatzikos]

575. “Registration of Brain Images With Tumors: Towards the Construction of Statistical Atlases for Therapy Planning“, Third IEEE International Symposium on Biomedical Imaging (ISBI 2006), April 6-9, 2006, Arlington, VA, USA. [Evangelia Zacharaki, Dinggang Shen, Ashraf Mohamed, Christos Davatzikos]

576. “Estimating Myocardial Fiber Orientations by Template Warping“, Third IEEE International Symposium on Biomedical Imaging (ISBI 2006), April 6-9, 2006, Arlington, VA, USA. [Hari Sundar, Dinggang Shen, George Biros, Harold Litt, Christos Davatzikos]

577. “Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)“, Computer Vision for Biomedical Image Applications, ICCV 2005 workshop, October 21, 2005, Beijing, CHINA. [Hongxia Luan, Feihu Qi, Dinggang Shen]

578. “Increasing Efficiency of SVM by Adaptively Penalizing Outliers“, EMMCVPR 2005, November 9-11, 2005, St. Augustine, Florida, USA. [Yiqiang Zhan, Dinggang Shen]

579. “Consistent Estimation of Cardiac Motions by 4D Image Registration“, MICCAI, Palm Springs, California, USA, Oct 26~29, 2005. [Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, Harold Litt]

580. “Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM“, MICCAI, Palm Springs, California, USA, Oct 26~29, 2005. [Yong Fan, Dinggang Shen, Christos Davatzikos]

581. “Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations“, MICCAI, Palm Springs, California, USA, Oct 26~29, 2005. [Zhong Xue, Dinggang Shen, Bilge Karacali, Christos Davatzikos]

582. “Deformable Registration of Brain Tumor Images via a Statistical Model of Tumor-Induced Deformation“, MICCAI, Palm Springs, California, USA, Oct 26~29, 2005. [Ashraf Mohamed, Dinggang Shen, Christos Davatzikos] (Best Student Paper)

583. “Learning Best Features for Deformable Registration of MR Brains“, MICCAI, Palm Springs, California, USA, Oct 26~29, 2005. [Guorong Wu, Feihu Qi, Dinggang Shen]

584. “CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing“, IPMI, Springer LNCS 3565, July 2005. [Zhong Xue, Dinggang Shen, Christos Davatzikos]

585. “Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface“, International Symposium, CIS 2004, Springer Vol. 3314, Shanghai, China, December 16-18, 2004. [Yiqiang Zhan, Dinggang Shen]

586. “Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms“, MICCAI’04, France, Sept 26-30, 2004. [Dinggang Shen]

587. “Deformable Registration of Tumor-diseased Brain Images“, MICCAI’04, France, Sept 26-30, 2004. [Tianming Liu, Dinggang Shen, Christos Davatzikos]

588. “An Efficient Method for Deformable Segmentation of 3D US Prostate Images“, International Workshop on Medical Imaging and Augmented Reality (MIAR’04), Beijing, China, August 19-20, 2004. [Yiqiang Zhan, Dinggang Shen]

589. “4D image warping for measurement of longitudinal brain changes“, IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, April 15-18, 2004. [Dinggang Shen]

590. “Deformable Registration of Male Pelvises in CT Images“, IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, April 15-18, 2004. [Yiqiang Zhan, Dinggang Shen, and Russ Taylor]

591. “Predictive modeling of anatomic structures using canonical correlation analysis“, IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, April 15-18, 2004. [Tianming Liu, Dinggang Shen, and Christos Davatzikos]

592. “Morphological classification of medical images using nonlinear support vector machines“, IEEE International Symposium on Biomedical Imaging (ISBI) (invited paper), Arlington, VA, April 15-18, 2004. [Christos Davatzikos, Dinggang Shen, and Z. Lao, Z. Xue, B. Karacali]

593. “Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Nov 16-18, Canada. [Yiqiang Zhan, Dinggang Shen]

594. “Deformable Registration of Cortical Structures via Hybrid Volumetric and Surface Warping“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Nov 16-18, Canada. [Tianming Liu, Dinggang Shen, Christos Davatzikos]

595. “Correspondence Detection Using Wavelet-Based Attribute Vectors“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Nov 16-18, Canada. [Zhong Xue, Dinggang Shen, Christos Davatzikos]

596. “Applications of wavelets in morphometric analysis of medical images“, Proceedings of SPIE Vol. #5207 Wavelets: Applications in Signal and Image Processing X, August 2003. [Christos Davatzikos, Xiaodong Tao, Dinggang Shen]

597. “Automatic Classification of Sulcal Regions of the Human Brain Cortex Using Pattern Recognition“, Proc. of SPIE Medical Imaging, February 15-20, 2003, San Diego, California, USA. [K.J. Behnke, M.E. Rettmann, D.L. Pham, Dinggang Shen, S. M. Resnick, C. Davatzikos, and J. L. Prince]

598. “A B-Snake model using Statistical and Geometric Information – Application to Medical Images“, The Seventh International Confeence on Control, Automation, Robotics and Vision (ICARCV2002), Singapore, Dec 2002. [Yue Wang, Eam Khwang Teoh, Dinggang Shen]

599. “A Novel Bayesian Shape Model for Facial Feature Extraction“, The Seventh International Confeence on Control, Automation, Robotics and Vision (ICARCV2002), Singapore, Dec 2002. [Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh]

600. “Statistical Shape Model for Automatic Skull-Stripping of Brain Images“, IEEE International Symposium on Biomedical Imaging, p.855-858, Washington, D.C. 7-10 July 2002. [Zhiqiang Lao, Dinggang Shen, Christos Davatzikos]

601. “Statistically-based Reorientation of Diffusion Tensor Field“, IEEE International Symposium on Biomedical Imaging, p.757-760, Washington, D.C. 7-10 July 2002. [Dongrong Xu, Susumu Mori, Dinggang Shen, Christos Davatzikos]

602. “Automatic Segmentation of White Matter Lesions in T1-Weighted Brain MR Images“, IEEE International Symposium on Biomedical Imaging, p.253-256, Washington, D.C. 7-10 July 2002. [Songyang Yu, Dzung Pham, Dinggang Shen, Edward H. Herskovits, Susan M. Resnick, Christos Davatzikos]

603. “HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration“, IEEE Workshop on Mathematical Methods in Biomedical Image (MMBIA 2001), p. 29-36, Kauai, Hawaii, USA, December 9-10, 2001. [Dinggang Shen, Christos Davatzikos] (Best Paper Award, from MMBIA 2001)

604. “A Statistical Atlas of Prostate Cancer for Optimal Biopsy“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), p. 416-424, Utrecht, The Netherlands, 14-17 October 2001. [Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward H. Herskovits, Gabor Fichtinger, Christos Davatzikos]

605. “Structure-adaptive B-snake for segmenting complex objects“, IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece, October 7-10, 2001. [Y. Wang, Eam Khwang Teoh, Dinggang Shen]

606. “Statistically optimized biopsy strategy for the diagnosis of prostate cancer“, The 14th IEEE Symposium on Computer-based Medical System (CBMS), p.433-438, Bethesda, Maryland, 26-27 July, 2001. [Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward H. Herskovits, Gabor Fichtinger, Christos Davatzikos]

607. “Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Pittsburgh, Pennsylvania USA, October 11-14, 2000. [Dinggang Shen, and C. Davatzikos]

608. “A Framework for Predictive Modeling of Intra-Operative Deformations: A Simulation-Based Study“, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Pittsburgh, Pennsylvania USA, October 11-14, 2000. [S. K. Kyriacou, Dinggang Shen, and C. Davatzikos]

609. “A deformable template model based on fuzzy alignment algorithm“, IEEE International Conference on Image Processing (ICIP), Vancouver, BC, Canada, September 10-13, 2000. [Zhong Xue, Dinggang Shen, and Eam Khwang Teoh]

610. “Novel theorem on symmetries of 2D images“, 15th International Conference on Pattern Recognition (ICPR), Vol III: 1002 -1005, Spain, Sept. 3-8, 2000. [Dinggang Shen, Horace H. S. Ip and Eam Khwang Teoh]

611. “Robust detection of skewed symmetries“, 15th International Conference on Pattern Recognition (ICPR), Vol III: 1010 -1013, Spain, Sept. 3-8, 2000. [Dinggang Shen, Horace H. S. Ip and Eam Khwang Teoh]

612. “Detecting reflection axes by energy minimisation“, 15th International Conference on Pattern Recognition (ICPR), Vol II: 1026 -1029, Spain, Sept. 3-8, 2000. [Dinggang Shen, Horace H. S. Ip and Eam Khwang Teoh]

613. “A hierarchical deformable model using statistical and geometric information“, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA2000), South Carolina, June 11-12, 2000. [Dinggang Shen, C. Davatzikos]

614. “A novel lane model using B-snake”, The Fouth Asian Conference on Computer Vision (ACCV) (Invited Sessions), Taipei, Taiwan, Jan 8-11, 2000. [E. K. Teoh, Y. Wang, Dinggang Shen, H. Wang]

615. “Lane detection using B-snake“, IEEE International Conference on Information, Intelligence and Systems, Washington, DC, Nov. 1-3, 1999. [Y. Wang, E. K. Teoh, Dinggang Shen]

616. “A novel lane model for lane boundary detection”, IAPR Workshop on Machine vision applications (MVA’98), Japan, Nov. 17-19, 1998. [Y. Wang, Dinggang Shen, E. K. Teoh]

617. “Lane Detection Using Catmull-Rom Spline“, 1998 IEEE international conference on intelligent vehicles (IV 98), Stuttgart, Germany, October 28-30, 1998. [Y. Wang, Dinggang Shen, E. K. Teoh]

618. “Symmetry Detection for Binary Shapes based on Generalized Complex Moments”, Proc. of the 1998 Symposium on Image, Speech, Signal Processing and Robotics, 3-4 Sep. 1998, Hong Kong China, vol. 1, pp. I-237-I-240.[Horace H. S. Ip, Kent K. T. Cheung and Dinggang Shen]

619. “An area-based shape representation for affine invariant content-based retrieval“, Multimedia Information Analysis and Retrieval, Ip and Smeulders (Eds.), LNCS 1464, Springer- Verlag, August 1998. [Horace H S Ip, Dinggang Shen, Wai-him Wong, Ken C K Law]

620. “Indexing and retrieval of binary patterns using generalized complex moments”, 2nd International Conference on Visual Information System, California, USA, March 1997. [Horace H S Ip, Dinggang Shen and Kent K. T. Cheung]

621. “Complex scene object tracking using using an affine invariant snake” (invited paper), Workshop on 3D Computer Vision’97, Hong Kong, May 17 1997.[Horace H S Ip and Dinggang Shen]

622. “Normalization method suitable for every kind of image”, ICARCV’96, Singapore, Dec., 1996. [Dinggang Shen and Horace H S Ip]

623. “Affine invariant shape matching for content-based retrieval”, ICARCV’96, Singapore, Dec., 1996. [W H Wong, Dinggang Shen and Horace H S Ip]

624. “Video segmentation indexing through classification and interactive view-based query”, Lecture Notes in Computer Science – 1035. Springer-Verlag, 1996. (Recent Developments in Computer Vision, Second Asian Conference on Computer Vision, ACCV’95, Singapore, December 1995. invited session paper) [C. M. Lee, W. Xiong, Dinggang Shen, and R. H. Ma]