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ORCIDDinggang Shen
Ding-Gang Shen
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- affiliation: ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
- affiliation: North Carolina State University, Department of Radiology and Biomedical Research Imaging Center, Chapel Hill, NC, USA
- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- affiliation: Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- affiliation: Shanghai Jiaotong University, Shanghai, China
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2020 – today
- 2021
[j375]Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021)- [j374]Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue
:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j373]Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen:
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. 89: 101899 (2021) - [j372]Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen:
A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. 90: 101904 (2021) - [j371]Yanmei Luo, Dong Nie, Bo Zhan, Zhiang Li, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion. Neurocomputing 452: 63-77 (2021) - [j370]Yunzhi Huang, Sahar Ahmad, Jingfan Fan, Dinggang Shen, Pew-Thian Yap:
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. Medical Image Anal. 67: 101817 (2021) - [j369]Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67: 101824 (2021) - [j368]Feihong Liu, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Anal. 68: 101828 (2021) - [j367]Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. 68: 101853 (2021) - [j366]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - [j365]Zhiming Cui, Changjian Li, Nenglun Chen, Guodong Wei, Runnan Chen, Yuanfeng Zhou, Dinggang Shen, Wenping Wang:
TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Anal. 69: 101949 (2021) - [j364]Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen:
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. Medical Image Anal. 69: 101953 (2021) - [j363]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [j362]Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen:
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. Medical Image Anal. 70: 101918 (2021) - [j361]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71: 102039 (2021) - [j360]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71: 102060 (2021) - [j359]Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71: 102076 (2021) - [j358]Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian:
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72: 102116 (2021) - [j357]Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [j356]Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li:
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227: 117649 (2021) - [j355]Yu-Dong Zhang, Francesco Carlo Morabito, Dinggang Shen, Khan Muhammad:
Advanced deep learning methods for biomedical information analysis: An editorial. Neural Networks 133: 101-102 (2021) - [j354]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021) - [j353]Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang:
Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. 120: 108103 (2021) - [j352]Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68(2): 362-373 (2021) - [j351]Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen:
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. IEEE Trans. Cybern. 51(4): 2153-2165 (2021) - [j350]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021) - [j349]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40(1): 274-285 (2021) - [j348]Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen:
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging 40(1): 310-320 (2021) - [j347]Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021) - [j346]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li:
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging 40(4): 1217-1228 (2021) - [j345]Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021) - [j344]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j343]Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li:
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging 40(8): 1964-1976 (2021) - [j342]Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. IEEE Trans. Medical Imaging 40(8): 2118-2128 (2021) - [c562]Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. CVPR 2021: 6699-6708 - [c561]Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen:
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images. IPMI 2021: 150-162 - [c560]Haibo Yang, Guangyu Wu, Dinggang Shen, Shu Liao:
Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning. ISBI 2021: 316-319 - [c559]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. MICCAI (6) 2021: 3-12 - [c558]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI 2021: 11-24 - [c557]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI 2021: 50-60 - [c556]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI 2021: 61-69 - [c555]Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen:
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. MLMI@MICCAI 2021: 70-79 - [c554]Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) 2021: 78-87 - [c553]Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen:
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. MICCAI (1) 2021: 89-98 - [c552]Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. MICCAI (7) 2021: 98-108 - [c551]Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. MLMI@MICCAI 2021: 219-227 - [c550]Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI 2021: 258-266 - [c549]Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D Transformer-GAN for High-Quality PET Reconstruction. MICCAI (6) 2021: 276-285 - [c548]Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen:
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) 2021: 281-290 - [c547]Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen:
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. MICCAI (6) 2021: 329-339 - [c546]Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen:
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. MLMI@MICCAI 2021: 347-355 - [c545]Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen:
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. MICCAI (5) 2021: 439-448 - [c544]Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke:
CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI (8) 2021: 445-454 - [c543]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:
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. MICCAI (4) 2021: 469-477 - [c542]Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia:
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. MICCAI (5) 2021: 480-489 - [c541]Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen:
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. MLMI@MICCAI 2021: 507-516 - [c540]Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen:
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. MLMI@MICCAI 2021: 537-545 - [c539]Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen:
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. MLMI@MICCAI 2021: 546-554 - [c538]Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen:
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) 2021: 571-580 - [c537]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) 2021: 574-583 - [c536]Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen:
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. MLMI@MICCAI 2021: 576-585 - [c535]Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen:
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) 2021: 584-593 - [c534]Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. MLMI@MICCAI 2021: 615-623 - [c533]Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen:
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. MICCAI (7) 2021: 733-742 - [c532]Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) 2021: 536-547 - [i55]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021) - [i54]Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. CoRR abs/2105.07715 (2021) - [i53]Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? CoRR abs/2106.06992 (2021) - [i52]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. CoRR abs/2106.15395 (2021) - [i51]Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multi-Modal MRI Reconstruction with Spatial Alignment Network. CoRR abs/2108.05603 (2021) - [i50]Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen:
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR abs/2109.03478 (2021) - [i49]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:
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. CoRR abs/2109.05191 (2021) - [i48]Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR abs/2109.11941 (2021) - [i47]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR abs/2110.03535 (2021) - [i46]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI Artifact Removal With Unpaired Data. CoRR abs/2110.04604 (2021) - 2020
- [j341]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [j340]Dong Nie, Dinggang Shen:
Adversarial Confidence Learning for Medical Image Segmentation and Synthesis. Int. J. Comput. Vis. 128(10): 2494-2513 (2020) - [j339]Yanrong Guo, Zhengwang Wu, Dinggang Shen:
Learning longitudinal classification-regression model for infant hippocampus segmentation. Neurocomputing 391: 191-198 (2020) - [j338]Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020) - [j337]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. 59 (2020) - [j336]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:
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 60 (2020) - [j335]Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020) - [j334]Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar Stolte, Jing Qin, Weiping Jia, Dinggang Shen:
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020) - [j333]Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen:
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. 62: 101663 (2020) - [j332]Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen:
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63: 101709 (2020) - [j331]Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma:
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. 64: 101750 (2020) - [j330]Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65: 101763 (2020) - [j329]Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin:
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. NeuroImage 206 (2020) - [j328]Xiaopeng Zong, Chunfeng Lian, Jordan Jimenez, Koji Yamashita, Dinggang Shen, Weili Lin:
Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas. NeuroImage 218: 116978 (2020) - [j327]Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18(1): 1-24 (2020) - [j326]Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen:
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics 18(2): 319-331 (2020) - [j325]Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen:
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 880-893 (2020) - [j324]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1191-1204 (2020) - [j323]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-guided large margin classifier for high-dimension low-sample-size problems. Pattern Recognit. 97 (2020) - [j322]Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang:
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. 100: 107171 (2020) - [j321]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [j320]Xiao Jiang, Limei Zhang, Lishan Qiao, Dinggang Shen:
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification. IEEE Trans. Biomed. Eng. 67(7): 1912-1920 (2020) - [j319]Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen:
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. 67(8): 2241-2252 (2020) - [j318]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020) - [j317]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020) - [j316]Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen:
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67(10): 2710-2720 (2020) - [j315]Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen:
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. 50(7): 3381-3392 (2020) - [j314]Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen:
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020) - [j313]Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen:
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. IEEE Trans. Image Process. 29: 6864-6872 (2020) - [j312]Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. IEEE Trans. Image Process. 29: 7497-7510 (2020) - [j311]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. 29: 7697-7706 (2020) - [j310]