| 2025 | ICASSP | Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks. | Luoyu Wang, Yitian Tao, Qing Yang, Yan Liang, Siwei Liu, Hongcheng Shi, Dinggang Shen, Han Zhang |
| 2025 | ICASSP | ThicknessVAE: Learning a Lateral Prior for Clothed Human Body Reconstruction. | Xiaotao Wu, Zhaoxin Fan, Huiguang He, Dinggang Shen |
| 2025 | MICCAI | BME | Wenxuan Chen, Caiwen Jiang, Xiaolei Song, Dinggang Shen |
| 2025 | MICCAI | A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms. | Haoyuan Chen, Yonghao Li, Long Yang, Han Wu, Lin Zhou, Kaicong Sun, Dinggang Shen |
| 2025 | MICCAI | HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction. | Jiaqi Cui, Lu Wen, Yuchen Fei, Bo Liu, Luping Zhou, Dinggang Shen, Yan Wang |
| 2025 | MICCAI | Predicting Alzheimer's Disease Progression Using a Regression-Based Survival Model with Longitudinal Data. | Ling Dai, Yiqun Sun, Jincheng Gu, Qinsen Bao, Feihong Liu, Dinggang Shen |
| 2025 | MICCAI | Wavelet-Driven Decoupling and Physics-Informed Mapping Network for Accelerated Multi-parametric MR Imaging. | Ruilong Dan, Kaicong Sun, Yichen Zhou, Minqiang Jia, Yuxuan Liu, Han Zhang, Xiaopeng Zong, Dinggang Shen |
| 2025 | MICCAI | Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction. | Zhenghao Feng, Lu Wen, Jiaqi Cui, Xi Wu, Jianghong Xiao, Xingchen Peng, Dinggang Shen, Yan Wang |
| 2025 | MICCAI | Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI. | Dongdong Gu, Yuzhong Chen, Xuejian Li, Xi Ouyang, Zhong Xue, Dinggang Shen |
| 2025 | MICCAI | Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation. | Keun-Soo Heo, Ji-Wung Han, Soyeon Bak, Minjoo Lim, Bogyeong Kang, Sang-Jun Park, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam |
| 2025 | MICCAI | Task-Aligned fMRI Generation Model for Brain Disorder Diagnosis. | Yifan Li, Xiaotong Wu, Xiaocai Zhang, Haiteng Jiang, Weiwen Wu, Dinggang Shen, Jianjia Zhang |
| 2025 | MICCAI | Brain-Heart-Gut Guided Multi-constraint Knowledge Distillation for Early Alzheimer's Disease Diagnosis. | Fan Li, Shilun Zhao, Shuwei Bai, Yuxiao Liu, Kai Zhang, Yin Xu, Ya Zhang, Kaicong Sun, Dinggang Shen |
| 2025 | MICCAI | Adapting Foundation Model for Dental Caries Detection with Dual-View Co-training. | Tao Luo, Han Wu, Tong Yang, Dinggang Shen, Zhiming Cui |
| 2025 | MICCAI | MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts. | Runqi Meng, Sifan Song, Pengfei Jin, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Yujin Oh, Xiang Li, Quanzheng Li, Ning Guo, Dinggang Shen |
| 2025 | MICCAI | Uncovering Aβ Accumulation Patterns via Multi-modal Latent Space Clustering Using Residual Diffusion Model. | Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Kaicong Sun, Dinggang Shen |
| 2024 | AAAI | NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. | Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen |
| 2024 | AAAI | Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. | Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen |
| 2024 | ICASSP | Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction. | Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen |
| 2024 | ICASSP | Synthesizing Aβ-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status. | Zaixin Ou, Yongsheng Pan, Yuanning Li, Fang Xie, Qihao Guo, Dinggang Shen |
| 2024 | IJCAI | A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI. | Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen |
| 2024 | IJCNN | D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction. | Li Jiang, Jiaqi Cui, Yuanyuan Xu, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen |
| 2024 | MICCAI | Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. | Shijie Huang, Kai Zhang, Jiawei Huang, Lingnan Kong, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen |
| 2024 | MICCAI | A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. | Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen |
| 2024 | MICCAI | DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels. | Dengqiang Jia, Xinnian Yang, Xiaosong Xiong, Shijie Huang, Feiyu Hou, Li Qin, Kaicong Sun, Kannie W. Y. Chan, Dinggang Shen |
| 2024 | MICCAI | k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. | Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen, Dong Liang |
| 2024 | MICCAI | LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. | Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen |
| 2024 | MICCAI | UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. | Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen |
| 2024 | MICCAI | A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. | Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Kaicong Sun, Dinggang Shen |
| 2024 | MICCAI | Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. | Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen |
| 2024 | MICCAI | Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. | Jiquan Ma, Yujun Teng, Geng Chen, Haotian Jiang, Kai Zhang, Feihong Liu, Islem Rekik, Dinggang Shen |
| 2024 | MICCAI | SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis. | Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen |
| 2024 | MICCAI | A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis. | Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen |
| 2024 | MICCAI | Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. | Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen |
| 2023 | BMVC | 3D Structure-guided Network for Tooth Alignment in 2D Photograph. | Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui |
| 2023 | MICCAI | TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. | Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen |
| 2023 | MICCAI | Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. | Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu |
| 2023 | MICCAI | Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. | Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen |
| 2023 | MICCAI | PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. | Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen |
| 2023 | MICCAI | Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. | Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen |
| 2023 | MICCAI | Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. | Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen |
| 2023 | MICCAI | Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. | Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen |
| 2023 | MICCAI | Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. | Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen |
| 2023 | MICCAI | HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. | Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen |
| 2023 | MICCAI | Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. | Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen |
| 2022 | MICCAI | Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. | Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen |
| 2022 | MICCAI | Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. | Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang |
| 2022 | MICCAI | Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. | Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen |
| 2022 | MICCAI | Deep-Learning Based T | Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen |
| 2022 | MICCAI | Semantic-Aware Registration with Weakly-Supervised Learning. | Zhan Jin, Peng Xue, Yuyao Zhang, Xiaohuan Cao, Dinggang Shen |
| 2022 | MICCAI | DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. | Temitope Emmanuel Komolafe, Yuhang Sun, Nizhuan Wang, Kaicong Sun, Guohua Cao, Dinggang Shen |
| 2022 | MICCAI | A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. | Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk |
| 2022 | MICCAI | Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images. | Huabing Liu, Dong Ni, Dinggang Shen, Jinda Wang, Zhenyu Tang |
| 2022 | MICCAI | Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. | Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen |
| 2021 | CVPR | TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. | Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen |
| 2021 | MICCAI | A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. | Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2021 | MICCAI | Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. | Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen |
| 2021 | MICCAI | VertNet: Accurate Vertebra Localization and Identification Network from CT Images. | Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. | Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue |
| 2021 | MICCAI | Variational Encoding and Decoding for Hybrid Supervision of Registration Network. | Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen |
| 2021 | MICCAI | CA | Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke |
| 2021 | MICCAI | Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. | Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. | Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen |
| 2021 | MICCAI | Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. | Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen |
| 2021 | MICCAI | Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. | Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng |
| 2021 | MICCAI | Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. | Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen |
| 2021 | MICCAI | Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. | Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Skull Segmentation from CBCT Images via Voxel-Based Rendering. | Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia |
| 2021 | MICCAI | Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. | Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen |
| 2021 | MICCAI | Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. | Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen |
| 2021 | MICCAI | 3D Transformer-GAN for High-Quality PET Reconstruction. | Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou |
| 2021 | MICCAI | Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. | Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen |
| 2021 | MICCAI | Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. | Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia |
| 2020 | AAAI | Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. | Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen |
| 2020 | AAAI | Non-Local U-Nets for Biomedical Image Segmentation. | Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji |
| 2020 | ICASSP | Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. | Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2020 | MICCAI | Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. | Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. | Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue |
| 2020 | MICCAI | Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. | Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. | Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction. | Shuo Chen, Shanhui Sun, Xiaoqian Huang, Dinggang Shen, Qian Wang, Shu Liao |
| 2020 | MICCAI | A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. | Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. | Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen |
| 2020 | MICCAI | Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. | Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. | Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. | Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue |
| 2020 | MICCAI | Construction of Spatiotemporal Infant Cortical Surface Functional Templates. | Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. | Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang |
| 2020 | MICCAI | Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. | Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen |
| 2020 | MICCAI | Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. | Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. | Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen |
| 2020 | MICCAI | Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. | Yankun Lang, Chunfeng Lian, Deqiang Xiao, Hannah H. Deng, Peng Yuan, Jaime Gateno, Steve Guo-Fang Shen, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen |
| 2020 | MICCAI | Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. | Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen |
| 2020 | MICCAI | Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. | Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. | Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang |
| 2020 | MICCAI | Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. | Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. | Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen |
| 2020 | MICCAI | Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. | Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen |
| 2020 | MICCAI | LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. | Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. | Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li |
| 2019 | AAAI | Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. | Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen |
| 2019 | IJCAI | Decoding EEG by Visual-guided Deep Neural Networks. | Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. | Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. | Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Early Development of Infant Brain Complex Network. | Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit. | Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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, James J. Xia, Dinggang Shen |
| 2019 | MICCAI | End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. | Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen |
| 2019 | MICCAI | 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 Durn, Ching-Chang Ko, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. | Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. | Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2018 | AAAI | Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. | Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen |
| 2018 | ECCV | Contour Knowledge Transfer for Salient Object Detection. | Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen |
| 2018 | KDD | Deep Adversarial Learning for Multi-Modality Missing Data Completion. | Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji |
| 2018 | KDD | Voxel Deconvolutional Networks for 3D Brain Image Labeling. | Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji |
| 2018 | MICCAI | 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 ngel Gonzlez Ballester, Dinggang Shen, Gang Li |
| 2018 | MICCAI | Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. | Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. | Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen |
| 2018 | MICCAI | Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration. | Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. | Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park |
| 2018 | MICCAI | A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. | Tae-Eui Kam, Han Zhang, Dinggang Shen |
| 2018 | MICCAI | Early Diagnosis of Autism Disease by Multi-channel CNNs. | Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang |
| 2018 | MICCAI | ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. | Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2017 | AAAI | Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. | Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| 2017 | IJCAI | Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. | Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. | Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen |
| 2017 | MICCAI | Deformable Image Registration Based on Similarity-Steered CNN Regression. | Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | q-Space Upsampling Using x-q Space Regularization. | Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap |
| 2017 | MICCAI | Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. | Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap |
| 2017 | MICCAI | Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. | Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Efficient Groupwise Registration for Brain MRI by Fast Initialization. | Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. | Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen |
| 2017 | MICCAI | Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. | Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Multimodal Hyper-connectivity Networks for MCI Classification. | Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. | Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen |
| 2017 | MICCAI | Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. | Gang Li, Li Wang, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Novel Effective Connectivity Network Inference for MCI Identification. | Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | Medical Image Synthesis with Context-Aware Generative Adversarial Networks. | Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | 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 |
| 2016 | IDEAL | Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder. | Si Wang, Hao Hu, Shanshan Su, Luyan Liu, Zhen Wang, Qian Wang, Dinggang Shen |
| 2016 | KDD | Collaborative Multi-View Denoising. | Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji |
| 2016 | MICCAI | Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. | Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. | Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen |
| 2016 | MICCAI | 7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. | Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen |
| 2016 | MICCAI | Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. | Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen |
| 2016 | MICCAI | Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. | Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching. | Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap |
| 2016 | MICCAI | Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification. | Xiaobo Chen, Han Zhang, Dinggang Shen |
| 2016 | MICCAI | Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. | Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. | Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Learning-Based Topological Correction for Infant Cortical Surfaces. | Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen |
| 2016 | MICCAI | New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. | Zhouyuan Huo, Dinggang Shen, Heng Huang |
| 2016 | MICCAI | Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. | Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen |
| 2016 | MICCAI | Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. | Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen |
| 2016 | MICCAI | Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. | Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen |
| 2016 | MICCAI | Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. | Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen |
| 2016 | MICCAI | Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. | Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2016 | MICCAI | Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. | Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen |
| 2016 | MICCAI | 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. | Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen |
| 2016 | MICCAI | Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. | Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen |
| 2015 | ICML | Discriminative Dimensionality Reduction for Patch-Based Label Fusion. | Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel ngel Gonzlez Ballester |
| 2015 | MICCAI | Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. | Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen |
| 2015 | MICCAI | Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. | Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen |
| 2015 | MICCAI | A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. | Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. | Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen |
| 2015 | MICCAI | Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. | Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser |
| 2015 | MICCAI | Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. | Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser |
| 2015 | MICCAI | Block-Based Statistics for Robust Non-parametric Morphometry. | Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap |
| 2015 | MICCAI | Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. | Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu |
| 2015 | MICCAI | Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. | Yue Gao, Ehsan Adeli-Mosabbeb, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen |
| 2015 | MICCAI | Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. | Yaozong Gao, Jun Lian, Dinggang Shen |
| 2015 | MICCAI | MCI Identification by Joint Learning on Multiple MRI Data. | Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen |
| 2015 | MICCAI | Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. | Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen |
| 2015 | MICCAI | Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. | Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. | Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen |
| 2015 | MICCAI | Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. | Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen |
| 2015 | MICCAI | Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. | Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2015 | MICCAI | Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. | Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. | Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen |
| 2015 | MICCAI | Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. | Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen |
| 2015 | MICCAI | Multi-atlas Context Forests for Knee MR Image Segmentation. | Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen |
| 2015 | MICCAI | Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. | Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen |
| 2015 | MICCAI | Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. | Mingxia Liu, Daoqiang Zhang, Dinggang Shen |
| 2015 | MICCAI | Soft-Split Random Forest for Anatomy Labeling. | Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen |
| 2015 | MICCAI | Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. | Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen |
| 2015 | MICCAI | Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. | Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. | Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2015 | MICCAI | Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. | Sang Hyun Park, Yaozong Gao, Dinggang Shen |
| 2014 | CVPR | Learning-Based Atlas Selection for Multiple-Atlas Segmentation. | Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen |
| 2014 | CVPR | Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. | Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen |
| 2014 | CVPR | Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen |
| 2014 | ICARCV | Motion-guided resolution enhancement for Lung 4D-CT. | Arnav Bhavsar, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. | Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code. | Jian Cheng, Dinggang Shen, Pew-Thian Yap |
| 2014 | MICCAI | Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. | Yaozong Gao, Dinggang Shen |
| 2014 | MICCAI | Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. | Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen |
| 2014 | MICCAI | Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. | Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Robust Anatomical Landmark Detection for MR Brain Image Registration. | Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen |
| 2014 | MICCAI | Brain Connectivity Hyper-Network for MCI Classification. | Biao Jie, Dinggang Shen, Daoqiang Zhang |
| 2014 | MICCAI | Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. | Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Robust Deep Learning for Improved Classification of AD/MCI Patients. | Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li |
| 2014 | MICCAI | Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. | Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. | Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji |
| 2014 | MICCAI | Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. | Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen |
| 2014 | MICCAI | Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification. | Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. | Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen |
| 2013 | CVPR | Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen |
| 2013 | CVPR | Groupwise Registration via Graph Shrinkage on the Image Manifold. | Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen |
| 2013 | CVPR | Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. | Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen |
| 2013 | MICCAI | Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. | Arnav Bhavsar, Guorong Wu, Dinggang Shen |
| 2013 | MICCAI | Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation. | Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap |
| 2013 | MICCAI | Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. | Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap |
| 2013 | MICCAI | Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. | Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen |
| 2013 | MICCAI | Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. | Yaozong Gao, Yiqiang Zhan, Dinggang Shen |
| 2013 | MICCAI | Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. | Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. | Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen |
| 2013 | MICCAI | Integrating Multiple Network Properties for MCI Identification. | Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen |
| 2013 | MICCAI | Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2013 | MICCAI | Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. | Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen |
| 2013 | MICCAI | Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. | Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen |
| 2013 | MICCAI | Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. | Manhua Liu, Heung-Il Suk, Dinggang Shen |
| 2013 | MICCAI | High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. | Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen |
| 2013 | MICCAI | Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. | Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen |
| 2013 | MICCAI | Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. | Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen |
| 2012 | CVPR | Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. | Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen |
| 2012 | MICCAI | Domain Transfer Learning for MCI Conversion Prediction. | Bo Cheng, Daoqiang Zhang, Dinggang Shen |
| 2012 | MICCAI | Prostate Segmentation by Sparse Representation Based Classification. | Yaozong Gao, Shu Liao, Dinggang Shen |
| 2012 | MICCAI | Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. | Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen |
| 2012 | MICCAI | Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. | Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch-Guided Deformation Estimation for Improved Image Registration. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch Based Prostate Segmentation in CT Images. | Shu Liao, Yaozong Gao, Dinggang Shen |
| 2012 | MICCAI | Group Sparsity Constrained Automatic Brain Label Propagation. | Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Partition Cortical Surfaces into Supervertices: Method and Application. | Gang Li, Jingxin Nie, Dinggang Shen |
| 2012 | MICCAI | Tree-Guided Sparse Coding for Brain Disease Classification. | Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen |
| 2012 | MICCAI | Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. | Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen |
| 2012 | MICCAI | Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. | Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen |
| 2011 | CVPR | Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. | Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen |
| 2011 | MICCAI | Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. | Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen |
| 2011 | MICCAI | Directed Graph Based Image Registration. | Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen |
| 2011 | MICCAI | Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. | Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen |
| 2011 | MICCAI | A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images. | Shu Liao, Dinggang Shen |
| 2011 | MICCAI | Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. | Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen |
| 2011 | MICCAI | Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. | Gang Li, Jingxin Nie, Dinggang Shen |
| 2010 | CVPR | ABSORB: Atlas building by Self-Organized Registration and Bundling. | Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen |
| 2010 | MICCAI | Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. | Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin |
| 2010 | MICCAI | Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity. | Pahal Dalal, Feng Shi, Dinggang Shen, Song Wang |
| 2010 | MICCAI | A Generalized Learning Based Framework for Fast Brain Image Registration. | Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen |
| 2010 | MICCAI | The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. | Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen |
| 2009 | CVPR | Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework. | Yangming Ou, Dinggang Shen, Michael D. Feldman, John Tomaszewski, Christos Davatzikos |
| 2009 | CVPR | Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. | Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen |
| 2009 | CVPR | Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. | Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen |
| 2009 | CVPR | TIMER: Tensor Image Morphing for Elastic Registration. | Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen |
| 2009 | MICCAI | Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. | Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John H. Gilmore, Weili Lin |
| 2008 | CVPR | Learning-based deformation estimation for fast non-rigid registration. | Min-Jeong Kim, Myoung-Hee Kim, Dinggang Shen |
| 2008 | IPAS | Application of statistical cancer atlas for 3D biopsy. | Ramkrishnan Narayanan, Dinggang Shen, Christos Davatzikos, E. David Crawford, Albaha Barqawi, Priya N. Werahera, Dinesh K. Kumar, Jasjit S. Suri |
| 2008 | IPAS | Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM. | Liyang Wei, Dinggang Shen, Dinesh K. Kumar, Ram Turlapati, Jasjit S. Suri |
| 2008 | MICCAI | Robust Brain Registration Using Adaptive Probabilistic Atlas. | Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits |
| 2007 | ICCV | Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework. | Yuanjie Zheng, Karl V. Steiner, Thomas L. Bauer, Jingyi Yu, Dinggang Shen, Chandra Kambhamettu |
| 2007 | ICIP | Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach. | M. S. Dnesh Kumar, Dinggang Shen, Liyang Wei, Ram Turlapthi, Jasjit S. Suri |
| 2006 | CVPR | Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification. | Yong Fan, Dinggang Shen, Christos Davatzikos |
| 2006 | CVPR | Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors. | Zhong Xue, Dinggang Shen, Christos Davatzikos |
| 2005 | MICCAI | Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM. | Yong Fan, Dinggang Shen, Christos Davatzikos |
| 2005 | MICCAI | Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation. | Ashraf Mohamed, Dinggang Shen, Christos Davatzikos |
| 2004 | CIS | Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface. | Yiqiang Zhan, Dinggang Shen |
| 2004 | MICCAI | Deformable Registration of Tumor-Diseased Brain Images. | Tianming Liu, Dinggang Shen, Christos Davatzikos |
| 2003 | MICCAI | Deformable Registration of Cortical Structures via Hybrid Volumetric and Surface Warping. | Tianming Liu, Dinggang Shen, Christos Davatzikos |
| 2002 | ICARCV | A B-snake model using statistical and geometric information-applications to medical images. | Yue Wang, Eam Khwang Teoh, Dinggang Shen |
| 2002 | ICARCV | A novel Bayesian shape model for facial feature extraction. | Zhong Xue, Stan Z. Li, Dinggang Shen, Eam Khwang Teoh |
| 2001 | CBMS | Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer. | Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos, Jianchao Zeng |
| 2001 | ICIP | Structure-adaptive B-snake for segmenting complex objects. | Yue Wang, Eam Khwang Teoh, Dinggang Shen |
| 2000 | ICIP | A Deformable Template Model Based on Fuzzy Alignment Algorithm. | Zhong Xue, Dinggang Shen, Eam Khwang Teoh |
| 2000 | ICPR | Detecting Reflection Axes by Energy Minimization. | Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh |
| 2000 | ICPR | A Novel Theorem on Symmetries of 2D Images. | Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh |
| 2000 | ICPR | Robust Detection of Skewed Symmetries. | Dinggang Shen, Horace Ho-Shing Ip, Eam Khwang Teoh |
| 2000 | MICCAI | A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study. | Stelios K. Kyriacou, Dinggang Shen, Christos Davatzikos |