| 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 |
| 2025 | MICCAI | A New Paradigm for Low-Dose PET/CT Reconstruction with Mamba-Powered Progressive Network and Physics-Informed Consistency. | Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen |
| 2025 | MICCAI | RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding. | Minhui Tan, Qingxia Wu, Boyang Zhang, Genqiang Ren, Jianlong Nie, Zhong Xue, Xiaohuan Cao, Dinggang Shen |
| 2025 | MICCAI | A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction. | Lin Teng, Shen Zhao, Feng Shi, Dinggang Shen |
| 2025 | MICCAI | Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis Across MRI, CT and PET. | Yulin Wang, Honglin Xiong, Kaicong Sun, Jiameng Liu, Xin Lin, Ziyi Chen, Yuanzhe He, Qian Wang, Dinggang Shen |
| 2025 | MICCAI | Graph-Based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation. | Shaoxuan Wu, Jingkun Chen, Zhuo Jin, Peilin Zhang, Zhizezhang Gao, Jun Feng, Xiao Zhang, Dinggang Shen |
| 2025 | MICCAI | Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI. | Xinyu Xie, Luyi Han, Yonghao Li, Yaofei Duan, Yue Sun, Muzhen He, Tao Tan, Dinggang Shen |
| 2025 | MICCAI | A$\upbeta $-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks. | Haoyue Yuan, Yuxiao Liu, Feihong Liu, Dinggang Shen |
| 2025 | MICCAI | Location-Guided Automated Lesion Captioning in Whole-Body PET/CT Images. | Mingyang Yu, Yaozong Gao, Yiran Shu, Yanbo Chen, Jingyu Liu, Caiwen Jiang, Kaicong Sun, Zhiming Cui, Weifang Zhang, Yiqiang Zhan, Xiang Sean Zhou, Shaonan Zhong, Xinlu Wang, Meixin Zhao, Dinggang Shen |
| 2025 | MICCAI | MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction. | Xinyi Zeng, Pinxian Zeng, Yan Wang, Jiaqi Cui, Luping Zhou, Caiwen Jiang, Han Zhang, Dinggang Shen |
| 2025 | MICCAI | Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction. | Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li |
| 2025 | MICCAI | Neuro-AMS: Neuro-Informed Age-Aware and Medical Knowledge-Integrated Strategy for Diagnosis of Multiple Brain Disorders. | Zhenguo Zhang, Lin Teng, Nan Zhao, Yuxiao Liu, Zhaoyu Qiu, Zehao Weng, Jinwei Kong, Feng Shi, Dinggang Shen |
| 2025 | MICCAI | Tabular Data-Enhanced Multi-modal Alignment and Synthesis for Alzheimer's Disease Diagnosis. | Weilin Zhou, Yuxiao Liu, Yuanwang Zhang, Kaicong Sun, Fan Li, Shilun Zhao, Yuanbo Wang, 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 |
| 2024 | MICCAI | Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. | Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen |
| 2024 | MICCAI | HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction. | Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen |
| 2024 | MICCAI | Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. | Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen |
| 2024 | MICCAI | TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis. | Yulin Wang, Honglin Xiong, Yi Xie, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen |
| 2024 | MICCAI | Cephalometric Landmark Detection Across Ages with Prototypical Network. | Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui |
| 2024 | MICCAI | TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs. | Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui |
| 2024 | MICCAI | Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. | Kai Zhang, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen |
| 2024 | MICCAI | Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. | Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen |
| 2024 | MICCAI | LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. | Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Dinggang Shen, Han Zhang |
| 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 |
| 2023 | MICCAI | Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. | Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2023 | MICCAI | CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. | Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen |
| 2023 | MICCAI | Multi-view Vertebra Localization and Identification from CT Images. | Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen |
| 2023 | MICCAI | NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. | Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian |
| 2023 | MICCAI | MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. | Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen |
| 2023 | MICCAI | SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. | Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen |
| 2023 | MICCAI | HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. | Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen |
| 2023 | MICCAI | CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. | Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang |
| 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 |
| 2022 | MICCAI | RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. | Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke |
| 2022 | MICCAI | Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. | Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen |
| 2022 | MICCAI | Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. | Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang |
| 2022 | MICCAI | TaG-Net: Topology-Aware Graph Network for Vessel Labeling. | Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen |
| 2022 | MICCAI | Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. | Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen |
| 2022 | MICCAI | 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. | Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang |
| 2022 | MICCAI | Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints. | Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen |
| 2022 | MICCAI | Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites. | Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen |
| 2022 | MICCAI | Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. | Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen |
| 2022 | MICCAI | Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. | Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang |
| 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 |
| 2021 | MICCAI | Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. | Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. | Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang |
| 2021 | MICCAI | Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. | Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen |
| 2021 | MICCAI | 3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. | Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen |
| 2021 | MICCAI | Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. | Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. | Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. | Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia |
| 2021 | MICCAI | Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. | Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen |
| 2021 | MICCAI | CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. | Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen |
| 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 |
| 2020 | MICCAI | Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. | Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen |
| 2020 | MICCAI | A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. | Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang |
| 2020 | MICCAI | mr | Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng |
| 2020 | MICCAI | Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. | Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. | Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. | Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. | Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. | Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen |
| 2020 | MICCAI | Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. | Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. | Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. | Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. | Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. | Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang |
| 2020 | MICCAI | Unsupervised Learning for Spherical Surface Registration. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. | Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, 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 |
| 2019 | MICCAI | Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. | Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen |
| 2019 | MICCAI | Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. | Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Automated Parcellation of the Cortex Using Structural Connectome Harmonics. | Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap |
| 2019 | MICCAI | Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. | Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu |
| 2019 | MICCAI | Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. | Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen |
| 2019 | MICCAI | Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. | Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen |
| 2019 | MICCAI | Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. | Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. | Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Robust and Discriminative Brain Genome Association Study. | Xiaofeng Zhu, Dinggang Shen |
| 2019 | PRICAI | MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. | Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. | Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Temporal Correlation Structure Learning for MCI Conversion Prediction. | Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. | Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Penalized Geodesic Tractography for Mitigating Gyral Bias. | Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap |
| 2018 | MICCAI | A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions. | Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Unpaired Deep Cross-Modality Synthesis with Fast Training. | Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen |
| 2018 | MICCAI | Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. | Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen |
| 2018 | MICCAI | Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI. | Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen |
| 2018 | MICCAI | Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. | Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. | Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen |
| 2018 | MICCAI | 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 |
| 2018 | PSB | Genotype-Phenotype association study via new multi-task learning model. | Zhouyuan Huo, Dinggang Shen, Heng Huang |
| 2018 | SSPR | Malignant Brain Tumor Classification Using the Random Forest Method. | Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, 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 |
| 2017 | MICCAI | Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? | Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen |
| 2017 | MICCAI | A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling. | Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2017 | MICCAI | Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. | Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. | Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan |
| 2017 | MICCAI | Sparse Multi-view Task-Centralized Learning for ASD Diagnosis. | Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen |
| 2017 | MICCAI | 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. | Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. | Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen |
| 2017 | MICCAI | Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. | Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen |
| 2017 | MICCAI | Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. | Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. | Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen |
| 2017 | MICCAI | Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment. | Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. | Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen |
| 2017 | MICCAI | Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. | Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen |
| 2017 | MICCAI | Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. | Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, 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 |