DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks - Feihong Liu; Jun Feng; Geng Chen; Ye Wu; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting - Zhenghan Fang; Yong Chen; Dong Nie; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN - Yankun Lang; Li Wang; Pew-Thian Yap; Chunfeng Lian; Hannah H. Deng; Kim-Han Thung; Deqiang Xiao; Peng Yuan; Steve Guo-Fang Shen; Jaime Gateno; Tianshu Kuang; David M. Alfi; et al. (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages - Yongsheng Pan; Mingxia Liu; Chunfeng Lian; Yong Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis - Yongsheng Pan; Mingxia Liu; Li Wang; Yong Xia; Dinggang Shen (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction - Dan Hu; Han Zhang; Zhengwang Wu; Weili Lin; Gang Li; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Guoshi Li; Qian Wang; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network - Chunfeng Lian; Mingxia Liu; Li Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism - Guannan Li; Meng-Hsiang Chen; Gang Li; Di Wu; Chunfeng Lian; Quansen Sun; Dinggang Shen; Li Wang (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets - Jian Chen; Zhenghan Fang; Deqiang Xiao; Duc Toan Bui; Kim-Han Thung; Xianjun Li; Jian Yang; Weili Lin; Gang Li; Dinggang Shen; Li Wang (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction - Tao Zhou; Kim-Han Thung; Yu Zhang; Huazhu Fu; Jianbing Shen; Dinggang Shen; Ling Shao (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration - Dongming Wei; Sahar Ahmad; Zhengwang Wu; Xiaohuan Cao; Xuhua Ren; Gang Li; Dinggang Shen; Qian Wang (Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance - Toan Duc Bui; Li Wang; Jian Chen; Weili Lin; Gang Li; Dinggang Shen (Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings, 2019)

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects - Deqiang Xiao; Li Wang; Hannah H. Deng; Kim-Han Thung; Jihua Zhu; Peng Yuan; Yriu L. Rodrigues; Leonel Perez Jr.; Christopher E. Crecelius; Jaime Gateno; Tiansku Kuang; Steve Guo-Fang Shen; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V, 2019)

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI - Jing Zhang; Mingxia Liu; Yongsheng Pan; Dinggang Shen (Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype - Zhenyu Tang; Yuyun Xu; Zhicheng Jiao; Junfeng Lu; Lei Jin; Abudumijiti Aibaidula; Jinsong Wu; Qian Wang; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I, 2019)

Robust and Discriminative Brain Genome Association Study - Xiaofeng Zhu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Automated Parcellation of the Cortex Using Structural Connectome Harmonics - Hoyt Patrick Taylor IV; Zhengwang Wu; Ye Wu; Dinggang Shen; Han Zhang; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks - Fenqiang Zhao; Zhengwang Wu; Li Wang; Weili Lin; Shunren Xia; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold - Zhengwang Wu; Fenqiang Zhao; Jing Xia; Li Wang; Weili Lin; John H. Gilmore; Gang Li; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors - Dongming Wei; Sahar Ahmad; Jiayu Huo; Wen Peng; Yunhao Ge; Zhong Xue; Pew-Thian Yap; Wentao Li; Dinggang Shen; Qian Wang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V, 2019)

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks - Siyuan Liu; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks - Yoonmi Hong; Geng Chen; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Geng Chen; Kim-Han Thung; Haiyong Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Kim-Han Thung; Geng Chen; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision - Jingjiao Lou; Dengwang Li; Toan Duc Bui; Fenqiang Zhao; Liang Sun; Gang Li; Dinggang Shen (Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis - Zhicheng Jiao; Pu Huang; Tae-Eui Kam; Li-Ming Hsu; Ye Wu; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis - Tao Zhou; Mingxia Liu; Huazhu Fu; Jun Wang; Jianbing Shen; Ling Shao; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life - Zhen Zhou; Han Zhang; Li-Ming Hsu; Weili Lin; Gang Pan; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI - Guoshi Li; Yujie Liu; Yanting Zheng; Ye Wu; Pew-Thian Yap; Shijun Qiu; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI - 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI - Liangqiong Qu; Shuai Wang; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis - Jun Wang; Ying Zhang; Tao Zhou; Zhaohong Deng; Huifang Huang; Shitong Wang; Jun Shi; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain - Sahar Ahmad; Zhengwang Wu; Gang Li; Li Wang; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

Early Development of Infant Brain Complex Network - Weixiong Jiang; Han Zhang; Li-Ming Hsu; Dan Hu; Guoshi Li; Ye Wu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces - Chunfeng Lian; Li Wang; Tai-Hsien Wu; Mingxia Liu; Francisca Durán; Ching-Chang Ko; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI, 2019)

Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties - Fan Wang; Chunfeng Lian; Zhengwang Wu; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification - Kelei He; Jing Huo; Yinghuan Shi; Yang Gao; Dinggang Shen (PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI - Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali R. Khan (Springer, 2019)

Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems - Qingbo Yin; Ehsan Adeli; Liran Shen; Dinggang Shen (CoRR, 2019)

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images - Dongming Wei; Zhengwang Wu; Gang Li; Xiaohuan Cao; Dinggang Shen; Qian Wang (CoRR, 2019)

Spherical U-Net on Cortical Surfaces: Methods and Applications - Fenqiang Zhao; Shunren Xia; Zhengwang Wu; Dingna Duan; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (CoRR, 2019)

Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions - Ye Wu; Yoonmi Hong; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (CoRR, 2019)

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks - Siyuan Liu; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (CoRR, 2019)

FRNET: Flattened Residual Network for Infant MRI Skull Stripping - Qian Zhang; Li Wang; Xiaopeng Zong; Weili Lin; Gang Li; Dinggang Shen (CoRR, 2019)

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation - Xuhua Ren; Lichi Zhang; Sahar Ahmad; Dong Nie; Fan Yang; Lei Xiang; Qian Wang; Dinggang Shen (CoRR, 2019)

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks - Feihong Liu; Jun Feng; Geng Chen; Ye Wu; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (CoRR, 2019)

Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation - Dong Nie; Dinggang Shen (CoRR, 2019)

Brain Network Construction and Classification Toolbox (BrainNetClass) - Zhen Zhou; Xiaobo Chen; Yu Zhang; Lishan Qiao; Renping Yu; Gang Pan; Han Zhang; Dinggang Shen (CoRR, 2019)

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization - Xuhua Ren; Lichi Zhang; Qian Wang; Dinggang Shen (CoRR, 2019)

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis - Dong Nie; Lei Xiang; Qian Wang; Dinggang Shen (CoRR, 2019)

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors - Dongming Wei; Sahar Ahmad; Jiayu Huo; Wen Peng; Yunhao Ge; Zhong Xue; Pew-Thian Yap; Wentao Li; Dinggang Shen; Qian Wang (CoRR, 2019)

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context - Feihong Liu; Jun Feng; Pew-Thian Yap; Dinggang Shen (CoRR, 2019)

A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment - Wenjun Duan; Yuanjie Zheng; Yanhui Ding; Sujuan Hou; Yufang Tang; Yan Xu; Maoling Qin; Jianfeng Wu; Dinggang Shen; Hongsheng Bi (IEEE Access, 2018)

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications - Naoki Kamiya; Jing Li; Masanori Kume; Hiroshi Fujita; Dinggang Shen; Guoyan Zheng (Int. J. Comput. Assist. Radiol. Surg., 2018)

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection - Luyan Liu; Qian Wang; Ehsan Adeli; Lichi Zhang; Han Zhang; Dinggang Shen (Comput. Medical Imaging Graph., 2018)

Image denoising with morphology- and size-adaptive block-matching transform domain filtering - Yingkun Hou; Dinggang Shen (EURASIP J. Image Video Process., 2018)

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment - Yueying Zhou; Lishan Qiao; Weikai Li; Limei Zhang; Dinggang Shen (Frontiers Neuroinformatics, 2018)

Spatiotemporal Analysis of Developing Brain Networks - Ping He; Xiaohua Xu; Han Zhang; Gang Li; Jingxin Nie; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2018)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space - Geng Chen; Bin Dong; Yong Zhang; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

Data-driven graph construction and graph learning: A review - Lishan Qiao; Limei Zhang; Songcan Chen; Dinggang Shen (Neurocomputing, 2018)

Segmenting hippocampal subfields from 3T MRI with multi-modality images - Zhengwang Wu; Yaozong Gao; Feng Shi; Guangkai Ma; Valerie Jewells; Dinggang Shen (Medical Image Anal., 2018)

Landmark-based deep multi-instance learning for brain disease diagnosis - Mingxia Liu; Jun Zhang; Ehsan Adeli; Dinggang Shen (Medical Image Anal., 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model - Zhengwang Wu; Yanrong Guo; Sang Hyun Park; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Learning non-linear patch embeddings with neural networks for label fusion - Gerard Sanroma; Oualid M. Benkarim; Gemma Piella; Oscar Camara; Guorong Wu; Dinggang Shen; Juan Domingo Gispert; José Luis Molinuevo; Miguel Ángel González Ballester; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2018)

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images - Chunfeng Lian; Jun Zhang; Mingxia Liu; Xiaopeng Zong; Sheng-Che Hung; Weili Lin; Dinggang Shen (Medical Image Anal., 2018)

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image - Lei Xiang; Qian Wang; Dong Nie; Lichi Zhang; Xiyao Jin; Yu Qiao; Dinggang Shen (Medical Image Anal., 2018)

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease - Biao Jie; Mingxia Liu; Dinggang Shen (Medical Image Anal., 2018)

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants - Jing Xia; Fan Wang; Yu Meng; Zhengwang Wu; Li Wang; Weili Lin; Caiming Zhang; Dinggang Shen; Gang Li (Medical Image Anal., 2018)

3D conditional generative adversarial networks for high-quality PET image estimation at low dose - Yan Wang; Biting Yu; Lei Wang; Chen Zu; David S. Lalush; Weili Lin; Xi Wu; Jiliu Zhou; Dinggang Shen; Luping Zhou (NeuroImage, 2018)

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression - Xiaoqian Wang; Xiantong Zhen; Quanzheng Li; Dinggang Shen; Heng Huang (Neuroinformatics, 2018)

Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker - Ruikai Zhang; Yali Zheng; Carmen C. Y. Poon; Dinggang Shen; James Yun Wong Lau (Pattern Recognit., 2018)

Guest Editorial Special Issue on Deep Learning in Medical Imaging - Dinggang Shen; Li Wang (IEEE Trans. Biomed. Eng., 2018)

Deformable Image Registration Using a Cue-Aware Deep Regression Network - Xiaohuan Cao; Jianhua Yang; Jun Zhang; Qian Wang; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Medical Image Synthesis with Deep Convolutional Adversarial Networks - Dong Nie; Roger Trullo; Jun Lian; Li Wang; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning - Zhensong Wang; Lifang Wei; Li Wang; Yaozong Gao; Wufan Chen; Dinggang Shen (IEEE Trans. Image Process., 2018)

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis - Biao Jie; Mingxia Liu; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Image Process., 2018)

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis - Xiaohuan Cao; Jianhua Yang; Yaozong Gao; Qian Wang; Dinggang Shen (IEEE Trans. Image Process., 2018)

Multi-Hypergraph Learning for Incomplete Multimodality Data - Mingxia Liu; Yue Gao; Pew-Thian Yap; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2018)

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis - Mingxia Liu; Jun Zhang; Dong Nie; Pew-Thian Yap; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2018)

Multi-View Missing Data Completion - Lei Zhang; Yao Zhao; Zhenfeng Zhu; Dinggang Shen; Shuiwang Ji (IEEE Trans. Knowl. Data Eng., 2018)

Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes - Jian Cheng; Dinggang Shen; Pew-Thian Yap; Peter J. Basser (IEEE Trans. Medical Imaging, 2018)

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas - Lei Chen; Han Zhang; Junfeng Lu; Kim-Han Thung; Abudumijiti Aibaidula; Luyan Liu; Songcan Chen; Lei Jin; Jinsong Wu; Qian Wang; LiangFu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery - Zhenyu Tang; Sahar Ahmad; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis - Changqing Zhang; Ehsan Adeli; Tao Zhou; Xiaobo Chen; Dinggang Shen (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients - Sen Chen; Weijun Tang; Jin Hu; Yawang Cheng; Qian Wang; Xuehai Wu; Dinggang Shen (2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Shanghai, China, January 15-17, 2018, 2018)

Contour Knowledge Transfer for Salient Object Detection - Xin Li; Fan Yang; Hong Cheng; Wei Liu; Dinggang Shen (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV, 2018)

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants - Jing Xia; Caiming Zhang; Fan Wang; Yu Meng; Zhengwang Wu; Li Wang; Weili Lin; Dinggang Shen; Gang Li (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Fetal cortical parcellation based on growth patterns - Jing Xia; Caiming Zhang; Fan Wang; Oualid M. Benkarim; Gerard Sanroma; Gemma Piella; Miguel Ángel González Ballester; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque - Fan Wang; Chunfeng Lian; Jing Xia; Zhengwang Wu; Dingna Duan; Li Wang; Dinggang Shen; Gang Li (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks - Zishun Feng; Dong Nie; Li Wang; Dinggang Shen (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants - Islem Rekik; Gang Li; Weili Lin; Dinggang Shen (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Infant brain development prediction with latent partial multi-view representation learning - Changqing Zhang; Ehsan Adeli; Zhengwang Wu; Gang Li; Weili Lin; Dinggang Shen (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset - Zhengwang Wu; Gang Li; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Deep Adversarial Learning for Multi-Modality Missing Data Completion - Lei Cai; Zhengyang Wang; Hongyang Gao; Dinggang Shen; Shuiwang Ji (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, 2018)

Voxel Deconvolutional Networks for 3D Brain Image Labeling - Yongjun Chen; Hongyang Gao; Lei Cai; Min Shi; Dinggang Shen; Shuiwang Ji (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, 2018)

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis - Biao Jie; Mingxia Liu; Chunfeng Lian; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Penalized Geodesic Tractography for Mitigating Gyral Bias - Ye Wu; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network - Euijin Jung; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sanghyun Park (PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions - Ye Wu; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity - Xiaohuan Cao; Jianhuan Yang; Li Wang; Zhong Xue; Qian Wang; Dinggang Shen (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis - Tao Zhou; Kim-Han Thung; Mingxia Liu; Feng Shi; Changqing Zhang; Dinggang Shen (PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net - Liang Sun; Daoqiang Zhang; Li Wang; Wei Shao; Zengsi Chen; Weili Lin; Dinggang Shen; Gang Li (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns - Han Zhang; Natalie Stanley; Peter J. Mucha; Weiyan Yin; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Unpaired Deep Cross-Modality Synthesis with Fast Training - Lei Xiang; Yang Li; Weili Lin; Qian Wang; Dinggang Shen (Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, 2018)

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network - Jiawei Chen; Han Zhang; Dong Nie; Li Wang; Gang Li; Weili Lin; Dinggang Shen (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis - Weizheng Yan; Han Zhang; Jing Sui; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis - Tae-Eui Kam; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Early Diagnosis of Autism Disease by Multi-channel CNNs - Guannan Li; Mingxia Liu; Quan-Sen Sun; Dinggang Shen; Li Wang (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis - Yan Wang; Luping Zhou; Lei Wang; Biting Yu; Chen Zu; David S. Lalush; Weili Lin; Xi Wu; Jiliu Zhou; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation - Dong Nie; Yaozong Gao; Li Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF) - Zhenghan Fang; Yong Chen; Mingxia Liu; Yiqiang Zhan; Weili Lin; Dinggang Shen (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI - Yongqin Zhang; Jie-Zhi Cheng; Lei Xiang; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis - Li Wang; Gang Li; Feng Shi; Xiaohuan Cao; Chunfeng Lian; Dong Nie; Mingxia Liu; Han Zhang; Guannan Li; Zhengwang Wu; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Temporal Correlation Structure Learning for MCI Conversion Prediction - Xiaoqian Wang; Weidong Cai; Dinggang Shen; Heng Huang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis - Yongsheng Pan; Mingxia Liu; Chunfeng Lian; Tao Zhou; Yong Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks - Sihang Zhou; Dong Nie; Ehsan Adeli; Yaozong Gao; Li Wang; Jianping Yin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? - Islem Rekik; Gang Li; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding - Oualid M. Benkarim; Gerard Sanroma; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Miguel Ángel González Ballester; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound - Na Wang; Cheng Bian; Yi Wang; Min Xu; Chenchen Qin; Xin Yang; Tianfu Wang; Anhua Li; Dinggang Shen; Dong Ni (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Dinggang Shen; Mingxia Liu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks - Zhengwang Wu; Gang Li; Li Wang; Feng Shi; Weili Lin; John H. Gilmore; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning - Miaoyun Zhao; Li Wang; Jiawei Chen; Dong Nie; Yulai Cong; Sahar Ahmad; Angela Ho; Peng Yuan; Steve H. Fung; Hannah H. Deng; James J. Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration - Jingfan Fan; Xiaohuan Cao; Zhong Xue; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage - Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Genotype-Phenotype association study via new multi-task learning model - Zhouyuan Huo; Dinggang Shen; Heng Huang (Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018, 2018)

Malignant Brain Tumor Classification Using the Random Forest Method - Lichi Zhang; Han Zhang; Islem Rekik; Yaozong Gao; Qian Wang; Dinggang Shen (Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings, 2018)

BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks - Jingfan Fan; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (CoRR, 2018)

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning - Jinquan Sun; Yinghuan Shi; Yang Gao; Lei Wang; Luping Zhou; Wanqi Yang; Dinggang Shen (CoRR, 2018)

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity - Xiaohuan Cao; Jianhua Yang; Li Wang; Zhong Xue; Qian Wang; Dinggang Shen (CoRR, 2018)

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis - Weizheng Yan; Han Zhang; Jing Sui; Dinggang Shen (CoRR, 2018)

Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation - Zhengyang Wang; Na Zou; Dinggang Shen; Shuiwang Ji (CoRR, 2018)

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification - Weikai Li; Zhengxia Wang; Limei Zhang; Lishan Qiao; Dinggang Shen (Frontiers Neuroinformatics, 2017)

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images - Lichi Zhang; Qian Wang; Yaozong Gao; Hongxin Li; Guorong Wu; Dinggang Shen (Neurocomputing, 2017)

Scalable joint segmentation and registration framework for infant brain images - Pei Dong; Li Wang; Weili Lin; Dinggang Shen; Guorong Wu (Neurocomputing, 2017)

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI - Lei Xiang; Yu Qiao; Dong Nie; Le An; Weili Lin; Qian Wang; Dinggang Shen (Neurocomputing, 2017)

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] - Islem Rekik; Gang Li; Weili Lin; Dinggang Shen (Medical Image Anal., 2017)

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data - Mingxia Liu; Jun Zhang; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2017)

Progressive multi-atlas label fusion by dictionary evolution - Yantao Song; Guorong Wu; Khosro Bahrami; Quan-Sen Sun; Dinggang Shen (Medical Image Anal., 2017)

Deep ensemble learning of sparse regression models for brain disease diagnosis - Heung-Il Suk; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2017)

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis - Xiaofeng Zhu; Heung-Il Suk; Li Wang; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2017)

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis - Xiaohuan Cao; Jianhua Yang; Yaozong Gao; Yanrong Guo; Guorong Wu; Dinggang Shen (Medical Image Anal., 2017)

Gyral net: A new representation of cortical folding organization - Hanbo Chen; Yujie Li; Fangfei Ge; Gang Li; Dinggang Shen; Tianming Liu (Medical Image Anal., 2017)

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI - Islem Rekik; Gang Li; Pew-Thian Yap; Geng Chen; Weili Lin; Dinggang Shen (NeuroImage, 2017)

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease - Bo Cheng; Mingxia Liu; Dinggang Shen; Zuoyong Li; Daoqiang Zhang (Neuroinformatics, 2017)

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification - Xiaobo Chen; Han Zhang; Seong-Whan Lee; Dinggang Shen (Neuroinformatics, 2017)

Robust multi-atlas label propagation by deep sparse representation - Chen Zu; Zhengxia Wang; Daoqiang Zhang; Peipeng Liang; Yonghong Shi; Dinggang Shen; Guorong Wu (Pattern Recognit., 2017)

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution - Jinpeng Zhang; Lichi Zhang; Lei Xiang; Yeqin Shao; Guorong Wu; Xiaodong Zhou; Dinggang Shen; Qian Wang (Pattern Recognit., 2017)

Automatic cystocele severity grading in transperineal ultrasound by random forest regression - Dong Ni; Xing Ji; Min Wu; Wenlei Wang; Xiaoshuang Deng; Zhongyi Hu; Tianfu Wang; Dinggang Shen; Jie-Zhi Cheng; Huifang Wang (Pattern Recognit., 2017)

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers - Xiaofeng Zhu; Heung-Il Suk; Heng Huang; Dinggang Shen (IEEE Trans. Big Data, 2017)

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease - Biao Jie; Mingxia Liu; Jun Liu; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning" - Guorong Wu; Minjeong Kim; Qian Wang; Brent C. Munsell; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI - Yan Wang; Guangkai Ma; Le An; Feng Shi; Pei Zhang; David S. Lalush; Xi Wu; Yi-Fei Pu; Jiliu Zhou; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features - Jun Zhang; Yaozong Gao; Sang Hyun Park; Xiaopeng Zong; Weili Lin; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks - Jun Zhang; Mingxia Liu; Dinggang Shen (IEEE Trans. Image Process., 2017)

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images - Jun Zhang; Mingxia Liu; Le An; Yaozong Gao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2017)

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks - Yinghuan Shi; Wenbin Li; Yang Gao; Longbing Cao; Dinggang Shen (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification - Xiaobo Chen; Han Zhang; Yu Zhang; Zuoyong Li; Dinggang Shen (4th IAPR Asian Conference on Pattern Recognition, ACPR 2017, Nanjing, China, November 26-29, 2017, 2017)

Fully automated esophagus segmentation with a hierarchical deep learning approach - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017, Kuching, Malaysia, September 12-14, 2017, 2017)

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model - Jie Xu; Cheng Deng; Xinbo Gao; Dinggang Shen; Heng Huang (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains - Islem Rekik; Gang Li; Weili Lin; Dinggang Shen (Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, 2017)

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets - Dingna Duan; Islem Rekik; Shunren Xia; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

A novel framework for groupwise registration of fMRI images based on common functional networks - Yu Zhao; Shu Zhang; Hanbo Chen; Wei Zhang; Jinglei Lv; Xi Jiang; Dinggang Shen; Tianming Liu (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields - Roger Trullo; Caroline Petitjean; Su Ruan; Bernard Dubray; Dong Nie; Dinggang Shen (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status - Mingxia Liu; Jun Zhang; Ehsan Adeli; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment - Yu Zhang; Han Zhang; Xiaobo Chen; Dinggang Shen (Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information - Dingna Duan; Shunren Xia; Yu Meng; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks - Longwei Fang; Lichi Zhang; Dong Nie; Xiaohuan Cao; Khosro Bahrami; Huiguang He; Dinggang Shen (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)

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network - Xiuyi Jia; Han Zhang; Ehsan Adeli; Dinggang Shen (Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (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, September 14, 2017, Proceedings, 2017)

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data - Ehsan Adeli; Yu Meng; Gang Li; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases - Jaeil Kim; Geng Chen; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation - Zhengwang Wu; Gang Li; Yu Meng; Li Wang; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment - Lichi Zhang; Han Zhang; Xiaobo Chen; Qian Wang; Pew-Thian Yap; Dinggang Shen (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)

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface - Gang Li; Li Wang; Weili Lin; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data - Xiaofeng Zhu; Kim-Han Thung; Ehsan Adeli; Yu Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance - Han Zhang; Weiyan Yin; Weili Lin; Dinggang Shen (Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis - Tao Zhou; Kim-Han Thung; Xiaofeng Zhu; Dinggang Shen (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)

Efficient Groupwise Registration for Brain MRI by Fast Initialization - Pei Dong; Xiaohuan Cao; Jun Zhang; Minjeong Kim; Guorong Wu; Dinggang Shen (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)

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis - Jun Wang; Qian Wang; Shitong Wang; Dinggang Shen (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)

Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (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, September 14, 2017, Proceedings, 2017)

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis - Yu Zhang; Han Zhang; Xiaobo Chen; Mingxia Liu; Xiaofeng Zhu; Dinggang Shen (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)

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity - Junyi Yan; Yu Meng; Gang Li; Weili Lin; Dazhe Zhao; Dinggang Shen (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)

A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling - Jinquan Sun; Yinghuan Shi; Yang Gao; Dinggang Shen (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)

Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework - Dong Nie; Li Wang; Roger Trullo; Jianfu Li; Peng Yuan; James J. Xia; Dinggang Shen (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)

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification - Yang Li; Jingyu Liu; Mei-Lin Luo; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (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)

Deformable Image Registration Based on Similarity-Steered CNN Regression - Xiaohuan Cao; Jianhua Yang; Jun Zhang; Dong Nie; Minjeong Kim; Qian Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification - Yang Li; Jingyu Liu; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (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)

Novel Effective Connectivity Network Inference for MCI Identification - Yang Li; Hao Yang; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (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)

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors - Yujia Zhou; Pew-Thian Yap; Han Zhang; Lichi Zhang; Qianjin Feng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks - Dong Nie; Roger Trullo; Jun Lian; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Multimodal Hyper-connectivity Networks for MCI Classification - Yang Li; Xinqiang Gao; Biao Jie; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)