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    First name: Dinggang
    Last name: Shen
    DBLP: 14/4383
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    Journal article
    Heung-Il Suk, Seong-Whan Lee, Dinggang Shen.
    Deep ensemble learning of sparse regression models for brain disease diagnosis.
    Medical Image Analysis 2017, Volume 37 (0) 2017
    Conference paper
    Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang 0001.
    Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
    Pattern Recognition 2017, Volume 63 (0) 2017
    Conference paper
    Dong Ni, Xing Ji, Min Wu, Wenlei Wang, Xiaoshuang Deng, Zhongyi Hu, Tianfu Wang, Dinggang Shen, Jie-Zhi Cheng, Huifang Wang.
    Automatic cystocele severity grading in transperineal ultrasound by random forest regression.
    Pattern Recognition 2017, Volume 63 (0) 2017
    Conference paper
    Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu.
    Robust multi-atlas label propagation by deep sparse representation.
    Pattern Recognition 2017, Volume 63 (0) 2017
    Journal article
    Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen.
    Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
    IEEE Trans. Biomed. Engineering 2017, Volume 64 (0) 2017
    Journal article
    Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen.
    View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data.
    Medical Image Analysis 2017, Volume 36 (0) 2017
    Conference paper
    Yan Wang 0015, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu 0004, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen.
    Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
    IEEE Trans. Biomed. Engineering 2017, Volume 64 (0) 2017
    Journal article
    Pei Dong, Li Wang 0026, Weili Lin, Dinggang Shen, Guorong Wu.
    Scalable joint segmentation and registration framework for infant brain images.
    Neurocomputing 2017, Volume 229 (0) 2017
    Journal article
    Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen.
    Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.
    Neurocomputing 2017, Volume 229 (0) 2017
    Conference paper
    Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen.
    Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Islem Rekik, Gang Li 0001, Weili Lin, Dinggang Shen.
    Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12].
    Medical Image Analysis 2017, Volume 36 (0) 2017
    Conference paper
    Yantao Song, Guorong Wu, Khosro Bahrami, Quan-Sen Sun, Dinggang Shen.
    Progressive multi-atlas label fusion by dictionary evolution.
    Medical Image Analysis 2017, Volume 36 (0) 2017
    Journal article
    Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen.
    A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
    Medical Image Analysis 2017, Volume 38 (0) 2017
    Conference paper
    Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang.
    Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.
    Neuroinformatics 2017, Volume 15 (0) 2017
    Conference paper
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen.
    Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains.
    Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li 0001.
    Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets.
    14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017 2017 (0) 2017
    Conference paper
    Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu.
    A novel framework for groupwise registration of fMRI images based on common functional networks.
    14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017 2017 (0) 2017
    Journal article
    Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser.
    Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Biao Jie, Mingxia Liu, Jun Liu 0003, Daoqiang Zhang, Dinggang Shen.
    Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
    IEEE Trans. Biomed. Engineering 2017, Volume 64 (0) 2017
    Conference paper
    Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang.
    Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Jun Zhang, Mingxia Liu, Dinggang Shen.
    Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks.
    IEEE Trans. Image Processing 2017, Volume 26 (0) 2017
    Journal article
    Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen.
    Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis.
    Medical Image Analysis 2017, Volume 41 (0) 2017
    Conference paper
    Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang 0001, Pew-Thian Yap, Dinggang Shen.
    Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.
    Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen.
    Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks.
    Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Dingna Duan, Shunren Xia, Yu Meng, Li Wang 0026, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li.
    Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang 0001, Dinggang Shen.
    Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Gang Li 0001, Li Wang, Weili Lin, Dinggang Shen.
    Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Ehsan Adeli-Mosabbeb, Yu Meng, Gang Li 0001, Weili Lin, Dinggang Shen.
    Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen.
    Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang 0001, Dinggang Shen.
    Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap.
    Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen.
    Multimodal Hyper-connectivity Networks for MCI Classification.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen.
    Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Yinghuan Shi, Wanqi Yang, Yang Gao 0001, Dinggang Shen.
    Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen.
    Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli-Mosabbeb, Yu Zhang, Dinggang Shen.
    Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Zhengwang Wu, Gang Li, Yu Meng, Li Wang 0026, Weili Lin, Dinggang Shen.
    4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap.
    q-Space Upsampling Using x-q Space Regularization.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    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.
    Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Mingxia Liu, Jun Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen.
    Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen.
    Deformable Image Registration Based on Similarity-Steered CNN Regression.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen.
    Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen.
    Early Brain Functional Segregation and Integration Predict Later Cognitive Performance.
    Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen.
    Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen.
    Efficient Groupwise Registration for Brain MRI by Fast Initialization.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen.
    Novel Effective Connectivity Network Inference for MCI Identification.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen.
    Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen.
    Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen.
    Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen.
    Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Xiuyi Jia, Han Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen.
    Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.
    Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen.
    Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
    Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen.
    A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen.
    Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Journal article
    Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang 0001, Dinggang Shen.
    Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
    Neurocomputing 2017, Volume 267 (0) 2017
    Conference paper
    Kim-Han Thung, Pew-Thian Yap, Dinggang Shen.
    Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning.
    Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, Se 2017 (0) 2017
    Conference paper
    Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan.
    Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.
    Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, Se 2017 (0) 2017
    Conference paper
    Xiaobo Chen, Han Zhang, Seong-Whan Lee, Dinggang Shen.
    Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.
    Neuroinformatics 2017, Volume 15 (0) 2017
    Conference paper
    Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen.
    Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification.
    Front. Neuroinform. 2017, Volume 2017 (0) 2017
    Journal article
    Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao 0001, Dinggang Shen.
    A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
    Neurocomputing 2016, Volume 173 (0) 2016
    Conference paper
    Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin.
    Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization.
    NeuroImage 2016, Volume 125 (0) 2016
    Journal article
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen.
    Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.
    Medical Image Analysis 2016, Volume 28 (0) 2016
    Conference paper
    Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap.
    Denoising magnetic resonance images using collaborative non-local means.
    Neurocomputing 2016, Volume 177 (0) 2016
    Conference paper
    Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R. Kosorok.
    Composite large margin classifiers with latent subclasses for heterogeneous biomedical data.
    Statistical Analysis and Data Mining 2016, Volume 9 (0) 2016
    Conference paper
    Yanrong Guo, Yaozong Gao, Dinggang Shen.
    Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Mingxia Liu, Daoqiang Zhang, Dinggang Shen.
    Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Dong Nie, Li Wang 0026, Yaozong Gao, Dinggang Shen.
    Fully convolutional networks for multi-modality isointense infant brain image segmentation.
    13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016 2016 (0) 2016
    Conference paper
    Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen.
    Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
    IEEE Trans. Biomed. Engineering 2016, Volume 63 (0) 2016
    Journal article
    Chunjun Qian, Li Wang 0026, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen.
    In vivo MRI based prostate cancer localization with random forests and auto-context model.
    Comp. Med. Imag. and Graph. 2016, Volume 52 (0) 2016
    Journal article
    Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen.
    A dynamic tree-based registration could handle possible large deformations among MR brain images.
    Comp. Med. Imag. and Graph. 2016, Volume 52 (0) 2016
    Journal article
    Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang.
    Hyper-connectivity of functional networks for brain disease diagnosis.
    Medical Image Analysis 2016, Volume 32 (0) 2016
    Conference paper
    Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang 0026, Pei Zhang, Jun Lian, Dinggang Shen.
    Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li.
    Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Haiyong Wu, Geng Chen, Yan Jin 0001, Dinggang Shen, Pew-Thian Yap.
    Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.
    Front. Neuroinform. 2016, Volume 2016 (0) 2016
    Conference paper
    Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji.
    Collaborative Multi-View Denoising.
    Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 2016 (0) 2016
    Conference paper
    Jun Zhang, Yaozong Gao, Li Wang 0026, Zhen Tang, James J. Xia, Dinggang Shen.
    Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.
    IEEE Trans. Biomed. Engineering 2016, Volume 63 (0) 2016
    Conference paper
    Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen.
    Reconstruction of 7T-Like Images From 3T MRI.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Si Wang, Hao Hu, Shanshan Su, Luyan Liu, Zhen Wang, Qian Wang, Dinggang Shen.
    Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder.
    Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang 0026, Dinggang Shen.
    Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks.
    Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen.
    Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen.
    Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen.
    Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu.
    Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
    Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Heung-Il Suk, Dinggang Shen.
    Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen.
    Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang 0026, Dinggang Shen.
    Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu.
    Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen.
    Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency.
    Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen.
    Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen.
    Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen.
    Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Li Wang 0026, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen.
    Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.
    Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Xi Yang, Yan Jin 0001, Xiaobo Chen, Han Zhang, Gang Li 0001, Dinggang Shen.
    Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Yanrong Guo, Pei Dong, Shijie Hao, Li Wang 0026, Guorong Wu, Dinggang Shen.
    Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.
    Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Xiaoqian Wang, Dinggang Shen, Heng Huang.
    Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Le An, Ehsan Adeli-Mosabbeb, Mingxia Liu, Jun Zhang, Dinggang Shen.
    Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Xiaobo Chen, Han Zhang, Dinggang Shen.
    Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli-Mosabbeb, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu.
    Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu.
    Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin 0001, Dinggang Shen.
    Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 2016 (0) 2016
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