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ORCIDDinggang Shen
Ding-Gang Shen
Person information
- 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
- 2025
[j510]Zheren Li
, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Xiangyu Zhao, Chunling Liu, Zaiyi Liu, Yajia Gu, Dinggang Shen, Jie-Zhi Cheng:
Domain generalization for mammographic image analysis with contrastive learning. Comput. Biol. Medicine 185: 109455 (2025)- [j509]Yiming Liu, Ling Zhang, Mingxue Gu, Yaoxing Xiao, Ting Yu, Xiang Tao, Qing Zhang, Yan Wang, Dinggang Shen, Qingli Li:
Inspect quantitative signals in placental histopathology: Computer-assisted multiple functional tissues identification through multi-model fusion and distillation framework. Comput. Medical Imaging Graph. 119: 102482 (2025) - [j508]Xuechun Wang, Yuting Meng, Zhijian Dong, Zehong Cao, Yichu He, Tianyang Sun, Qing Zhou, Guozhong Niu, Zhongxiang Ding, Feng Shi, Dinggang Shen:
Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans. Comput. Methods Programs Biomed. 258: 108488 (2025) - [j507]Dongdong Chen, Mengjun Liu, Sheng Wang, Zheren Li, Lu Bai, Qian Wang, Dinggang Shen, Lichi Zhang:
Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. Knowl. Based Syst. 309: 112856 (2025) - [j506]Lanzhuju Mei, Ke Deng, Zhiming Cui, Yu Fang, Yuan Liu, Hongchang Lai, Maurizio Tonetti, Dinggang Shen:
Clinical knowledge-guided hybrid classification network for automatic periodontal disease diagnosis in X-ray image. Medical Image Anal. 99: 103376 (2025) - [j505]Jing Ke, Yijin Zhou, Yiqing Shen, Yi Guo, Ning Liu, Xiaodan Han, Dinggang Shen:
Learnable color space conversion and fusion for stain normalization in pathology images. Medical Image Anal. 101: 103424 (2025) - [j504]Sheng Wang, Zihao Zhao, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang:
Learning better contrastive view from radiologist's gaze. Pattern Recognit. 162: 111350 (2025) - [j503]Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Fang Xie, Qihao Guo, Dinggang Shen:
A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine. IEEE J. Biomed. Health Informatics 29(1): 535-546 (2025) - [j502]Zaixin Ou, Yongsheng Pan, Fang Xie, Qihao Guo, Dinggang Shen:
Image-and-Label Conditioning Latent Diffusion Model: Synthesizing A$\beta$-PET From MRI for Detecting Amyloid Status. IEEE J. Biomed. Health Informatics 29(2): 1221-1231 (2025) - [j501]Jiameng Liu, Feihong Liu, Dong Nie, Yuning Gu, Yuhang Sun, Dinggang Shen:
Structure-Aware Brain Tissue Segmentation for Isointense Infant MRI Data Using Multi-Phase Multi-Scale Assistance Network. IEEE J. Biomed. Health Informatics 29(2): 1297-1307 (2025) - [j500]Huabing Liu, Jiawei Huang, Dengqiang Jia, Qian Wang, Jun Xu, Dinggang Shen:
Transferring Adult-Like Phase Images for Robust Multi-View Isointense Infant Brain Segmentation. IEEE Trans. Medical Imaging 44(1): 69-78 (2025) - [j499]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. IEEE Trans. Medical Imaging 44(1): 244-258 (2025) - [j498]Jiaming Xie, Qing Zhang, Zhiming Cui, Chong Ma, Yan Zhou, Wenping Wang, Dinggang Shen:
Integrating Eye Tracking With Grouped Fusion Networks for Semantic Segmentation on Mammogram Images. IEEE Trans. Medical Imaging 44(2): 868-879 (2025) - [j497]Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Dinggang Shen, Zhiming Cui:
Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction. IEEE Trans. Medical Imaging 44(2): 1083-1097 (2025) - 2024
- [j496]Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tan, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. Biomed. Signal Process. Control. 95: 106458 (2024) - [j495]Minhui Tan, Zhiming Cui, Tao Zhong, Yu Fang, Yu Zhang, Dinggang Shen:
A progressive framework for tooth and substructure segmentation from cone-beam CT images. Comput. Biol. Medicine 169: 107839 (2024) - [j494]Yuhang Sun, Yuning Gu, Feng Shi, Jiameng Liu, Guoqiang Li, Qianjin Feng, Dinggang Shen:
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Comput. Medical Imaging Graph. 111: 102319 (2024) - [j493]Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen:
One model, two brains: Automatic fetal brain extraction from MR images of twins. Comput. Medical Imaging Graph. 112: 102330 (2024) - [j492]Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104: 102204 (2024) - [j491]Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Anal. 91: 102983 (2024) - [j490]Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen:
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy. Medical Image Anal. 92: 103045 (2024) - [j489]Jianjia Zhang, Yunan Guo, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen:
Constructing hierarchical attentive functional brain networks for early AD diagnosis. Medical Image Anal. 94: 103137 (2024) - [j488]Caiwen Jiang, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, Dinggang Shen:
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. Medical Image Anal. 95: 103194 (2024) - [j487]Qingrui Sha, Kaicong Sun, Caiwen Jiang, Mingze Xu, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Detail-preserving image warping by enforcing smooth image sampling. Neural Networks 178: 106426 (2024) - [j486]Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Rubai Zhou, Wenxian Lu, Lichi Zhang, Dinggang Shen, Qian Wang, Daihui Peng:
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Trans. Affect. Comput. 15(3): 1826-1837 (2024) - [j485]Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. IEEE Trans. Artif. Intell. 5(8): 4163-4175 (2024) - [j484]Tangwei Cao, Runwei Lin, Yinuo Zheng, Dinggang Shen, Lin Xu:
A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection. IEEE Trans. Biomed. Eng. 71(1): 207-216 (2024) - [j483]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes. IEEE Trans. Biomed. Eng. 71(4): 1404-1415 (2024) - [j482]Jiaqi Cui, Yan Wang, Luping Zhou, Yuchen Fei, Jiliu Zhou, Dinggang Shen:
3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9400-9413 (2024) - [j481]Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang:
Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images. IEEE Trans. Image Process. 33: 1199-1210 (2024) - [j480]Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen:
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images. IEEE J. Biomed. Health Informatics 28(2): 823-834 (2024) - [j479]Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. IEEE J. Biomed. Health Informatics 28(4): 2067-2078 (2024) - [j478]Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-Aware Registration Network for Liver DCE-CT Images. IEEE J. Biomed. Health Informatics 28(4): 2163-2174 (2024) - [j477]Zhikai Yang, Dinggang Shen, Kannie W. Y. Chan, Jianpan Huang:
Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI. IEEE J. Biomed. Health Informatics 28(8): 4636-4647 (2024) - [j476]Xuanmin Chen, Liyan Ma, Shihui Ying, Dinggang Shen, Tieyong Zeng:
FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment. IEEE J. Biomed. Health Informatics 28(11): 6751-6763 (2024) - [j475]Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, Bin Sheng:
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis. IEEE Trans. Medical Imaging 43(1): 64-75 (2024) - [j474]Lanzhuju Mei, Yu Fang, Yue Zhao, Xiang Sean Zhou, Min Zhu, Zhiming Cui, Dinggang Shen:
DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images. IEEE Trans. Medical Imaging 43(1): 517-528 (2024) - [j473]Kaicong Sun, Qian Wang, Dinggang Shen:
Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction. IEEE Trans. Medical Imaging 43(1): 558-569 (2024) - [j472]Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen:
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Trans. Medical Imaging 43(2): 723-733 (2024) - [j471]Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 43(5): 1958-1971 (2024) - [j470]Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Trans. Medical Imaging 43(6): 2254-2265 (2024) - [j469]Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen:
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. IEEE Trans. Medical Imaging 43(7): 2587-2598 (2024) - [j468]Jianjia Zhang, Haiyang Mao, Dingyue Chang, Hengyong Yu, Weiwen Wu, Dinggang Shen:
Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction. IEEE Trans. Medical Imaging 43(9): 3354-3365 (2024) - [j467]Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, Dinggang Shen:
ChatCAD+: Toward a Universal and Reliable Interactive CAD Using LLMs. IEEE Trans. Medical Imaging 43(11): 3755-3766 (2024) - [j466]Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. IEEE Trans. Medical Imaging 43(11): 3924-3935 (2024) - [j465]Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Yuanyuan Xu, Peng Wang, Jiliu Zhou, Yan Wang, Dinggang Shen:
Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms. IEEE Trans. Medical Imaging 43(12): 4174-4189 (2024) - [j464]Xibao Li, Xi Ouyang, Jiadong Zhang, Zhongxiang Ding, Yuyao Zhang, Zhong Xue, Feng Shi, Dinggang Shen:
Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. IEEE Trans. Medical Imaging 43(12): 4483-4495 (2024) - [j463]Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen:
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7271-7274 (2024) - [j462]Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen:
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13258-13270 (2024) - [j461]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15182-15194 (2024) - [j460]Chong Ma, Lin Zhao, Yuzhong Chen, Lei Guo, Tuo Zhang, Xintao Hu, Dinggang Shen, Xi Jiang, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18013-18025 (2024) - [c670]Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen:
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. AAAI 2024: 4198-4206 - [c669]Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. AAAI 2024: 7543-7551 - [c668]Yin Huang, Geng Chen, Xuyun Wen, Dinggang Shen:
Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis. BIBM 2024: 1522-1525 - [c667]Jiquan Ma, Chengdong Deng, Geng Chen, Haotian Jiang, Shijie Huang, Jaeil Kim, Xuyun Wen, Dinggang Shen:
Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space. BIBM 2024: 3598-3602 - [c666]Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction. ICASSP 2024: 1726-1730 - [c665]Zaixin Ou, Yongsheng Pan, Yuanning Li, Fang Xie, Qihao Guo, Dinggang Shen:
Synthesizing Aβ-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status. ICASSP 2024: 6610-6614 - [c664]Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI. IJCAI 2024: 4769-4777 - [c663]Li Jiang, Jiaqi Cui, Yuanyuan Xu, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction. IJCNN 2024: 1-8 - [c662]Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen:
Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness. ISBI 2024: 1-4 - [c661]Jinchen Gu, Yaoxuan Wang, Caiwen Jiang, Jiameng Liu, Yuting Zhu, Mengda Jiang, Zhaoyan Wang, Feihong Liu, Hao Wu, Dinggang Shen:
Auditory Fiber Bundle Parcellation using Text-Prompted Decomposition Networks. ISBI 2024: 1-5 - [c660]Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang:
Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion. ISBI 2024: 1-4 - [c659]Zhongrui Huang, Caiwen Jiang, Jinchen Gu, Xinyi Cai, Han Zhang, Feihong Liu, Dinggang Shen:
Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model. ISBI 2024: 1-5 - [c658]Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang:
Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning. ISBI 2024: 1-5 - [c657]Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen:
Discontinuity-Aware Coronary Artery Segmentation on CCTA Image. ISBI 2024: 1-5 - [c656]Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang:
MeLo: Low-Rank Adaptation is Better than Fine-Tuning for Medical Image Diagnosis. ISBI 2024: 1-5 - [c655]Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis. MICCAI (7) 2024: 45-55 - [c654]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. SASHIMI@MICCAI 2024: 58-68 - [c653]Shijie Huang, Kai Zhang, Jiawei Huang, Lingnan Kong, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. PIPPI@MICCAI 2024: 70-81 - [c652]Kai Zhang, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. PIPPI@MICCAI 2024: 94-104 - [c651]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Kaicong Sun, Dinggang Shen:
A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. MLCN@MICCAI 2024: 123-133 - [c650]Yulin Wang, Honglin Xiong, Yi Xie, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis. MedAGI@MICCAI 2024: 124-133 - [c649]Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui:
Cephalometric Landmark Detection Across Ages with Prototypical Network. MICCAI (5) 2024: 155-165 - [c648]Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen:
SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis. CaPTion@MICCAI 2024: 200-210 - [c647]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. MICCAI (2) 2024: 238-248 - [c646]Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Dinggang Shen, Han Zhang:
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. MICCAI (2) 2024: 249-258 - [c645]Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen:
Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. MICCAI (7) 2024: 264-274 - [c644]Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen:
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. MICCAI (8) 2024: 273-282 - [c643]Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen:
HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction. MICCAI (7) 2024: 372-381 - [c642]Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) 2024: 405-414 - [c641]Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen, Dong Liang:
k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. MICCAI (7) 2024: 414-424 - [c640]Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen:
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. MICCAI (2) 2024: 487-497 - [c639]Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) 2024: 522-532 - [c638]Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. MICCAI (2) 2024: 662-672 - [c637]Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui:
TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs. MICCAI (7) 2024: 712-721 - [c636]Haoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen:
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. MLMI@MICCAI (1) 2024: 22-30 - [c635]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. MLMI@MICCAI (1) 2024: 83-93 - [c634]Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen:
Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. MLMI@MICCAI (1) 2024: 166-176 - [c633]Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. MLMI@MICCAI (2) 2024: 191-200 - [c632]Yichen Yang, Pengbo Jiang, Xiran Cai, Zhong Xue, Dinggang Shen:
Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections. MLMI@MICCAI (1) 2024: 340-349 - [c631]Jiameng Liu, Furkan Pala, Islem Rekik, Dinggang Shen:
DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification. MLMI@MICCAI (1) 2024: 402-411 - [c630]Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li:
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning. NeurIPS 2024 - [c629]Jia Mi, Caiwen Jiang, Dinggang Shen:
Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT Images. WBIR 2024: 216-225 - [i139]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR abs/2401.01383 (2024) - [i138]Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction. CoRR abs/2402.00376 (2024) - [i137]Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation. CoRR abs/2402.02029 (2024) - [i136]Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk:
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. CoRR abs/2402.08409 (2024) - [i135]Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang:
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion. CoRR abs/2402.13776 (2024) - [i134]Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li:
Eye-gaze Guided Multi-modal Alignment Framework for Radiology. CoRR abs/2403.12416 (2024) - [i133]Xiaoben Li, Mancheng Meng, Ziyan Wu, Terrence Chen, Fan Yang, Dinggang Shen:
Human Mesh Recovery from Arbitrary Multi-view Images. CoRR abs/2403.12434 (2024) - [i132]Xiaoben Li, Mancheng Meng, Ziyan Wu, Terrence Chen, Fan Yang, Dinggang Shen:
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation. CoRR abs/2403.12440 (2024) - [i131]Luoyu Wang, Yitian Tao, Qing Yang, Yan Liang, Siwei Liu, Hongcheng Shi, Dinggang Shen, Han Zhang:
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks. CoRR abs/2403.20058 (2024) - [i130]Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen:
Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness. CoRR abs/2404.01563 (2024) - [i129]Zihao Zhu, Tianli Tao, Yitian Tao, Haowen Deng, Xinyi Cai, Gaofeng Wu, Kaidong Wang, Haifeng Tang, Lixuan Zhu, Zhuoyang Gu, Jiawei Huang, Dinggang Shen, Han Zhang:
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. CoRR abs/2405.10691 (2024) - [i128]Zhentao Liu, Huangxuan Zhao, Wenhui Qin, Zhenghong Zhou, Xinggang Wang, Wenping Wang, Xiaochun Lai, Chuansheng Zheng, Dinggang Shen, Zhiming Cui:
3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning. CoRR abs/2405.10705 (2024) - [i127]Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang:
Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning. CoRR abs/2406.05974 (2024) - [i126]Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui:
Cephalometric Landmark Detection across Ages with Prototypical Network. CoRR abs/2406.12577 (2024) - [i125]Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang:
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports. CoRR abs/2407.05758 (2024) - [i124]Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui:
TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs. CoRR abs/2407.11419 (2024) - [i123]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Kaicong Sun, Dinggang Shen:
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. CoRR abs/2407.18466 (2024) - [i122]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR abs/2407.21328 (2024) - [i121]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. CoRR abs/2408.00938 (2024) - [i120]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage. CoRR abs/2408.00940 (2024) - [i119]Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - [i118]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024) - [i117]Jiuli Xiong, Lanzhuju Mei, Jiameng Liu, Dinggang Shen, Zhong Xue, Xiaohuan Cao:
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images. CoRR abs/2409.06324 (2024) - [i116]Yulin Wang, Honglin Xiong, Kaicong Sun, Shuwei Bai, Ling Dai, Zhongxiang Ding, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation. CoRR abs/2409.16818 (2024) - [i115]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i114]Dengqiang Jia, Xinnian Yang, Xiaosong Xiong, Shijie Huang, Feiyu Hou, Li Qin, Kaicong Sun, Kannie W. Y. Chan, Dinggang Shen:
DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels. CoRR abs/2412.00840 (2024) - [i113]Caiwen Jiang, Mianxin Liu, Kaicong Sun, Dinggang Shen:
End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms. CoRR abs/2412.03617 (2024) - [i112]Haoshen Wang, Zhentao Liu, Kaicong Sun, Xiaodong Wang, Dinggang Shen, Zhiming Cui:
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation. CoRR abs/2412.13059 (2024) - 2023
- [j459]Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen:
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023) - [j458]Feihong Liu, Junwei Yang, Mingyue Feng, Zhiming Cui, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? Comput. Medical Imaging Graph. 103: 102160 (2023) - [j457]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 110: 102303 (2023) - [j456]Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen:
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235: 107520 (2023) - [j455]Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. 131(8): 1995-2014 (2023) - [j454]Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83: 102644 (2023) - [j453]Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Dinggang Shen, Qian Wang:
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection. Medical Image Anal. 84: 102708 (2023) - [j452]Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen:
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85: 102758 (2023) - [j451]Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen:
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification. Medical Image Anal. 89: 102902 (2023) - [j450]Lu Tang, Chuangeng Tian, Hang Yang, Zhiming Cui, Yu Hui, Kai Xu, Dinggang Shen:
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images. Medical Image Anal. 89: 102905 (2023) - [j449]Shengjie Zhang, Xiang Chen, Xin Shen, Bohan Ren, Ziqi Yu, Haibo Yang, Xi Jiang, Dinggang Shen, Yuan Zhou, Xiao-Yong Zhang:
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders. Medical Image Anal. 90: 102932 (2023) - [j448]Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - [j447]Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen:
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. Pattern Recognit. 134: 109076 (2023) - [j446]Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023) - [j445]Zuowei Jiang, Xiaoyan Cai, Libin Yang, Dehong Gao, Wei Zhao, Junwei Han, Jun Liu, Dinggang Shen, Tianming Liu:
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. IEEE Trans. Biomed. Eng. 70(12): 3277-3287 (2023) - [j444]Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen:
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 887-899 (2023) - [j443]Hao Hou, Jun Xu, Yingkun Hou, Xiaotao Hu, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. IEEE Trans. Image Process. 32: 1184-1199 (2023) - [j442]Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen:
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE J. Biomed. Health Informatics 27(1): 469-479 (2023) - [j441]Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang:
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. IEEE J. Biomed. Health Informatics 27(2): 1072-1083 (2023) - [j440]Renping Yu, Cong Pan, Xuan Fei, Mingming Chen, Dinggang Shen:
Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia. IEEE J. Biomed. Health Informatics 27(3): 1443-1454 (2023) - [j439]Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27(7): 3337-3348 (2023) - [j438]Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu:
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 27(10): 4961-4970 (2023) - [j437]Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen:
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics 27(11): 5430-5438 (2023) - [j436]Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. IEEE Trans. Medical Imaging 42(2): 368-379 (2023) - [j435]Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen:
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42(2): 557-567 (2023) - [j434]Ruhan Liu, Tianqin Wang, Huating Li, Ping Zhang, Jing Li, Xiaokang Yang, Dinggang Shen, Bin Sheng:
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. IEEE Trans. Medical Imaging 42(4): 1083-1094 (2023) - [j433]Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen:
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Trans. Medical Imaging 42(4): 1225-1236 (2023) - [j432]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42(5): 1363-1373 (2023) - [j431]Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke:
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42(7): 1969-1981 (2023) - [j430]Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dong Nie, Dinggang Shen:
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint. IEEE Trans. Medical Imaging 42(10): 2974-2987 (2023) - [j429]Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42(11): 3155-3166 (2023) - [j428]Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu:
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. IEEE Trans. Medical Imaging 42(11): 3384-3394 (2023) - [j427]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 42(11): 3395-3407 (2023) - [j426]Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen:
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging 42(12): 3487-3500 (2023) - [j425]Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen:
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42(12): 3907-3918 (2023) - [j424]Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging 42(12): 3944-3955 (2023) - [j423]Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen:
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4990-5001 (2023) - [j422]Sijie Niu, Kun Gao, Pengfei Ma, Xizhan Gao, Hui Zhao, Jiwen Dong, Yuehui Chen, Dinggang Shen:
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10266-10278 (2023) - [c628]Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui:
3D Structure-guided Network for Tooth Alignment in 2D Photograph. BMVC 2023: 322 - [c627]Sheng Wang, Zihao Zhao, Lichi Zhang, Dinggang Shen, Qian Wang:
Crafting Good Views of Medical Images for Contrastive Learning via Expert-level Visual Attention. Gaze Meets ML 2023: 266-279 - [c626]Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen:
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage. IPMI 2023: 375-387 - [c625]Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen:
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. IPMI 2023: 428-441 - [c624]Caiwen Jiang, Yongsheng Pan, Dinggang Shen:
TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. ISBI 2023: 1-5 - [c623]Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 2023: 1-4 - [c622]Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI 2023: 1-5 - [c621]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. ISBI 2023: 1-5 - [c620]Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue:
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI 2023: 1-4 - [c619]Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen:
Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation. ISBI 2023: 1-4 - [c618]Minhui Tang, Yu Fang, Lei Ma, Yu Zhang, Zhiming Cui, Dinggang Shen:
Dental Anatomy Segmentation from Cone Beam CT Images. ISBI 2023: 1-4 - [c617]Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen:
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI 2023: 1-4 - [c616]Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen:
Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET. ISBI 2023: 1-5 - [c615]Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen:
PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. MICCAI (1) 2023: 3-12 - [c614]Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen:
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. MICCAI (10) 2023: 24-33 - [c613]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. PRIME@MICCAI 2023: 25-34 - [c612]Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen:
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) 2023: 54-63 - [c611]Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. MICCAI (4) 2023: 56-66 - [c610]Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen:
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. MICCAI (7) 2023: 68-78 - [c609]Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen:
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. MICCAI (7) 2023: 89-96 - [c608]Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen:
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI 2023: 94-104 - [c607]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. MICCAI (8) 2023: 99-108 - [c606]Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang:
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. MICCAI (4) 2023: 110-119 - [c605]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI 2023: 120-133 - [c604]Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen:
Multi-view Vertebra Localization and Identification from CT Images. MICCAI (5) 2023: 136-145 - [c603]Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. MICCAI (10) 2023: 184-194 - [c602]Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian:
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. MICCAI (2) 2023: 202-211 - [c601]Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. MICCAI (10) 2023: 239-249 - [c600]Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen:
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) 2023: 551-560 - [c599]Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen:
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) 2023: 670-680 - [c598]Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen:
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. MICCAI (7) 2023: 791-801 - [c597]Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen:
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) 2023: 33-42 - [c596]Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen:
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. MLMI@MICCAI (1) 2023: 33-41 - [c595]Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - [c594]Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen:
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) 2023: 84-93 - [c593]Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen:
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) 2023: 104-113 - [c592]Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen:
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) 2023: 157-165 - [c591]Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen:
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. MLMI@MICCAI (1) 2023: 186-195 - [c590]Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen:
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation. MLMI@MICCAI (1) 2023: 403-412 - [c589]Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li:
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 2023: 464-473 - [c588]Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang:
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. MLMI@MICCAI (2) 2023: 467-475 - [i111]Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian:
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. CoRR abs/2301.00815 (2023) - [i110]Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, Dinggang Shen:
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models. CoRR abs/2302.07257 (2023) - [i109]Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen:
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. CoRR abs/2302.11871 (2023) - [i108]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i107]Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-aware registration network for liver DCE-CT images. CoRR abs/2303.04595 (2023) - [i106]Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li:
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR abs/2303.11032 (2023) - [i105]Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Zhiming Cui, Dinggang Shen:
Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction. CoRR abs/2303.14739 (2023) - [i104]Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu:
When Brain-inspired AI Meets AGI. CoRR abs/2303.15935 (2023) - [i103]Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, Dinggang Shen:
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task. CoRR abs/2304.01097 (2023) - [i102]Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge:
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR abs/2304.01852 (2023) - [i101]Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tang, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. CoRR abs/2304.03556 (2023) - [i100]Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. CoRR abs/2304.08448 (2023) - [i99]Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023) - [i98]Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR abs/2304.10226 (2023) - [i97]Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang:
ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. CoRR abs/2304.11107 (2023) - [i96]Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023) - [i95]Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR abs/2305.00201 (2023) - [i94]Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. CoRR abs/2305.02774 (2023) - [i93]Sheng Wang, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang:
Learning Better Contrastive View from Radiologist's Gaze. CoRR abs/2305.08826 (2023) - [i92]Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, Dinggang Shen:
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs. CoRR abs/2305.15964 (2023) - [i91]Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen:
Artificial General Intelligence for Medical Imaging. CoRR abs/2306.05480 (2023) - [i90]Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu:
Radiology-GPT: A Large Language Model for Radiology. CoRR abs/2306.08666 (2023) - [i89]Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - [i88]Lei Ma, Peng Xue, Yuning Gu, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning. CoRR abs/2307.07953 (2023) - [i87]Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen:
Multi-View Vertebra Localization and Identification from CT Images. CoRR abs/2307.12845 (2023) - [i86]Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i85]Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms. CoRR abs/2308.05365 (2023) - [i84]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes. CoRR abs/2308.06762 (2023) - [i83]Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. CoRR abs/2308.10157 (2023) - [i82]Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li:
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR abs/2309.06419 (2023) - [i81]Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang:
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR abs/2310.05242 (2023) - [i80]Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui:
3D Structure-guided Network for Tooth Alignment in 2D Photograph. CoRR abs/2310.11106 (2023) - [i79]Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang:
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis. CoRR abs/2311.08236 (2023) - [i78]Yuxuan Shi, Jun Xu, Dinggang Shen:
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images. CoRR abs/2311.09590 (2023) - [i77]Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - [i76]Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. CoRR abs/2312.06069 (2023) - [i75]Zihao Zhao, Yuxiao Liu, Han Wu, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
CLIP in Medical Imaging: A Comprehensive Survey. CoRR abs/2312.07353 (2023) - 2022
- [j421]Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen:
Joint selection of brain network nodes and edges for MCI identification. Comput. Methods Programs Biomed. 225: 107082 (2022) - [j420]Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, Tianming Liu:
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. J. Biomed. Informatics 127: 103999 (2022) - [j419]Bo Zhan, Luping Zhou, Zhiang Li, Xi Wu, Yifei Pu, Jiliu Zhou, Yan Wang, Dinggang Shen:
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis. Knowl. Based Syst. 252: 109362 (2022) - [j418]Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu:
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Medical Image Anal. 75: 102266 (2022) - [j417]Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen:
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75: 102294 (2022) - [j416]Yanmei Luo, Luping Zhou, Bo Zhan, Fei-Yue Wang, Jiliu Zhou, Yan Wang, Dinggang Shen:
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis. Medical Image Anal. 77: 102335 (2022) - [j415]Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen:
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Anal. 79: 102472 (2022) - [j414]Jiayu Huo, Xi Ouyang, Liping Si, Kai Xuan, Sheng Wang, Weiwu Yao, Ying Liu, Jia Xu, Dahong Qian, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Anal. 80: 102508 (2022) - [j413]Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Yue Zhou, Lin Cheng, Tianming Liu, Dinggang Shen:
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound. Medical Image Anal. 82: 102589 (2022) - [j412]Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j411]Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage 254: 119127 (2022) - [j410]Maryam Ghanbari, Zhen Zhou, Li-Ming Hsu, Ying Han, Yu Sun, Pew-Thian Yap, Han Zhang, Dinggang Shen:
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. Neuroinformatics 20(2): 391-403 (2022) - [j409]Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen:
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6839-6853 (2022) - [j408]Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022) - [j407]Xiaoming Liu, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen:
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. Pattern Recognit. 122: 108341 (2022) - [j406]Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j405]Lei Zhou, Shuai Wang, Kun Sun, Tao Zhou, Fuhua Yan, Dinggang Shen:
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI. Pattern Recognit. 129: 108723 (2022) - [j404]Yanfang Xue, Yining Zhang, Limei Zhang, Seong-Whan Lee, Lishan Qiao, Dinggang Shen:
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. IEEE Trans. Biomed. Eng. 69(2): 590-601 (2022) - [j403]Feng Zhao, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen:
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. IEEE Trans. Biomed. Eng. 69(3): 1237-1250 (2022) - [j402]Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen:
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. 52(4): 1992-2003 (2022) - [j401]Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen:
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. IEEE Trans. Cybern. 52(7): 6822-6833 (2022) - [j400]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 26(1): 36-43 (2022) - [j399]Yue Zhou, Houjin Chen, Yanfeng Li, Xuyang Cao, Shu Wang, Dinggang Shen:
Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images. IEEE J. Biomed. Health Informatics 26(1): 301-311 (2022) - [j398]Jintao Lu, Xi Ouyang, Xueda Shen, Tianjiao Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images. IEEE J. Biomed. Health Informatics 26(4): 1582-1590 (2022) - [j397]Huifeng Zhang, Zhen Zhou, Lei Ding, Chuangxin Wu, Meihui Qiu, Yueqi Huang, Feng Jin, Ting Shen, Yao Yang, Li-Ming Hsu, Jinhong Wang, Han Zhang, Dinggang Shen, Daihui Peng:
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning. IEEE J. Biomed. Health Informatics 26(8): 4100-4110 (2022) - [j396]Fanwen Wang, Hui Zhang, Fei Dai, Weibo Chen, Shuai Xu, Zidong Yang, Dinggang Shen, Chengyan Wang, He Wang:
Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging. IEEE J. Biomed. Health Informatics 26(9): 4575-4586 (2022) - [j395]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. IEEE Trans. Medical Imaging 41(1): 88-102 (2022) - [j394]Feng Shi, Bojiang Chen, Qiqi Cao, Ying Wei, Qing Zhou, Rui Zhang, Yaojie Zhou, Wenjie Yang, Xiang Wang, Rongrong Fan, Fan Yang, Yanbo Chen, Weimin Li, Yaozong Gao, Dinggang Shen:
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging 41(4): 771-781 (2022) - [j393]Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation. IEEE Trans. Medical Imaging 41(4): 826-835 (2022) - [j392]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j391]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 41(7): 1688-1698 (2022) - [j390]Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen:
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41(8): 2009-2020 (2022) - [j389]Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multimodal MRI Reconstruction Assisted With Spatial Alignment Network. IEEE Trans. Medical Imaging 41(9): 2499-2509 (2022) - [j388]Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen:
Diffusion Kernel Attention Network for Brain Disorder Classification. IEEE Trans. Medical Imaging 41(10): 2814-2827 (2022) - [j387]Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41(10): 2856-2866 (2022) - [j386]Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi 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. IEEE Trans. Medical Imaging 41(11): 3158-3166 (2022) - [j385]Yiqing Shen, Dinggang Shen, Jing Ke:
Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging 41(12): 3835-3848 (2022) - [j384]Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4056-4068 (2022) - [c587]Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen:
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. ISBI 2022: 1-4 - [c586]Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen:
Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module. ISBI 2022: 1-5 - [c585]Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen:
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. ISBI 2022: 1-5 - [c584]Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI 2022: 69-78 - [c583]Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI 2022: 108-117 - [c582]Huabing Liu, Dong Ni, Dinggang Shen, Jinda Wang, Zhenyu Tang:
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images. MICCAI (5) 2022: 118-127 - [c581]Temitope Emmanuel Komolafe, Yuhang Sun, Nizhuan Wang, Kaicong Sun, Guohua Cao, Dinggang Shen:
DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. MLMIR@MICCAI 2022: 123-132 - [c580]Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang:
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139 - [c579]Zhan Jin, Peng Xue, Yuyao Zhang, Xiaohuan Cao, Dinggang Shen:
Semantic-Aware Registration with Weakly-Supervised Learning. CaPTion@MICCAI 2022: 159-168 - [c578]Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) 2022: 212-221 - [c577]Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen:
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. MICCAI (5) 2022: 225-234 - [c576]Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI 2022: 230-238 - [c575]Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk:
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. MICCAI (5) 2022: 330-339 - [c574]Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites. MICCAI (5) 2022: 380-390 - [c573]Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen:
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) 2022: 391-400 - [c572]Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen:
Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals. MICCAI (6) 2022: 432-441 - [c571]Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen:
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. MLMI@MICCAI 2022: 466-475 - [c570]Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. MICCAI (6) 2022: 516-526 - [c569]Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. MICCAI (6) 2022: 527-537 - [c568]Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang:
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. MICCAI (3) 2022: 554-563 - [c567]Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen:
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. MICCAI (8) 2022: 575-584 - [c566]Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen:
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints. MICCAI (6) 2022: 758-767 - [c565]Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen:
Forecasting Human Trajectory from Scene History. NeurIPS 2022 - [i74]Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. CoRR abs/2201.04318 (2022) - [i73]Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen:
Transformers in Medical Image Analysis: A Review. CoRR abs/2202.12165 (2022) - [i72]Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Andrzej Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng:
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction. CoRR abs/2203.14769 (2022) - [i71]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. CoRR abs/2204.02976 (2022) - [i70]Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation. CoRR abs/2204.08797 (2022) - [i69]Hao Hou, Xiaotao Hu, Jun Xu, Yingkun Hou, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. CoRR abs/2205.03777 (2022) - [i68]Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - [i67]Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites. CoRR abs/2206.06813 (2022) - [i66]Chong Ma, Lin Zhao, Yuzhong Chen, David Weizhong Liu, Xi Jiang, Tuo Zhang, Xintao Hu, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. CoRR abs/2206.08567 (2022) - [i65]Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR abs/2206.12694 (2022) - [i64]Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen:
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR abs/2207.03430 (2022) - [i63]Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Qian Wang, Dinggang Shen:
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection. CoRR abs/2207.09389 (2022) - [i62]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. CoRR abs/2209.11232 (2022) - [i61]Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen:
Forecasting Human Trajectory from Scene History. CoRR abs/2210.08732 (2022) - [i60]Lin Zhao, Xiao Chen, Eric Z. Chen, Yikang Liu, Dinggang Shen, Terrence Chen, Shanhui Sun:
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI. CoRR abs/2210.12548 (2022) - [i59]Yu Fang, Lanzhuju Mei, Changjian Li, Yuan Liu, Wenping Wang, Zhiming Cui, Dinggang Shen:
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields. CoRR abs/2211.17048 (2022) - [i58]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR abs/2212.01108 (2022) - 2021
- [j383]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) - [j382]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) - [j381]Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang:
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21(1): 154 (2021) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]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) - [j374]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) - [j373]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) - [j372]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) - [j371]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) - [j370]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) - [j369]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) - [j368]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) - [j367]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) - [j366]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) - [j365]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) - [j364]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) - [j363]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(1): 60-67 (2021) - [j362]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(2): 181 (2021) - [j361]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) - [j360]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) - [j359]Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang:
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. npj Digit. Medicine 4 (2021) - [j358]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) - [j357]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) - [j356]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) - [j355]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) - [j354]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) - [j353]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) - [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen:
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40(12): 3446-3458 (2021) - [j344]Zhiming Cui, Changjian Li, Zhixu Du, Nenglun Chen, Guodong Wei, Runnan Chen, Lei Yang, Dinggang Shen, Wenping Wang:
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. IEEE Trans. Medical Imaging 40(12): 3604-3616 (2021) - [j343]Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. IEEE Trans. Medical Imaging 40(12): 3867-3878 (2021) - [c564]Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen:
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI 2021: 159-169 - [c563]Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen:
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI 2021: 227-235 - [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 - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. CoRR abs/2111.06400 (2021) - [i46]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. CoRR abs/2111.10827 (2021) - 2020
- [j342]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) - [j341]Dong Nie, Dinggang Shen:
Adversarial Confidence Learning for Medical Image Segmentation and Synthesis. Int. J. Comput. Vis. 128(10): 2494-2513 (2020) - [j340]Yanrong Guo, Zhengwang Wu, Dinggang Shen:
Learning longitudinal classification-regression model for infant hippocampus segmentation. Neurocomputing 391: 191-198 (2020) - [j339]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) - [j338]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) - [j337]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) - [j336]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) - [j335]Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen:
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020) - [j334]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) - [j333]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) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [j328]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) - [j327]Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen:
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics 18(2): 319-331 (2020) - [j326]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) - [j325]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) - [j324]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-guided large margin classifier for high-dimension low-sample-size problems. Pattern Recognit. 97 (2020) - [j323]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) - [j322]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) - [j321]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) - [j320]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) - [j319]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) - [j318]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) - [j317]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) - [j316]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) - [j315]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) - [j314]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) - [j313]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) - [j312]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) - [j311]Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020) - [j310]Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen:
Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE J. Biomed. Health Informatics 24(2): 333-335 (2020) - [j309]Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen:
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View. IEEE J. Biomed. Health Informatics 24(4): 1160-1168 (2020) - [j308]Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020) - [j307]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j306]Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen:
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging 39(2): 478-487 (2020) - [j305]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39(2): 543 (2020) - [j304]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39(3): 644-655 (2020) - [j303]Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno:
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39(3): 787-796 (2020) - [j302]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j301]Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen:
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging 39(6): 2100-2109 (2020) - [j300]Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen:
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39(6): 2151-2162 (2020) - [j299]Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen:
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39(7): 2440-2450 (2020) - [j298]Dinggang Shen, Yaozong Gao, Arrate Muñoz-Barrutia, Delia Cabrera DeBuc, Gennaro Percannella:
Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19. IEEE Trans. Medical Imaging 39(8): 2569-2571 (2020) - [j297]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [j296]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39(8): 2606-2614 (2020) - [j295]Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang, Dinggang Shen:
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. IEEE Trans. Medical Imaging 39(9): 2794-2805 (2020) - [j294]Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen:
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging 39(9): 2965-2975 (2020) - [j293]Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen:
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020) - [j292]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020) - [j291]Siyuan Liu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. IEEE Trans. Medical Imaging 39(11): 3691-3702 (2020) - [j290]Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [j289]Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31(1): 186-200 (2020) - [c531]Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Non-Local U-Nets for Biomedical Image Segmentation. AAAI 2020: 6315-6322 - [c530]Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. AAAI 2020: 10486-10493 - [c529]Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen:
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM 2020: 1043-1046 - [c528]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. ICASSP 2020: 1419-1423 - [c527]Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI 2020: 140-143 - [c526]Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362 - [c525]Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI 2020: 1-10 - [c524]Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. MICCAI (7) 2020: 3-12 - [c523]Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen:
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI 2020: 3-13 - [c522]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:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c521]Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li:
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) 2020: 22-32 - [c520]Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI 2020: 31-40 - [c519]Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. MICCAI (2) 2020: 34-43 - [c518]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c517]Shuo Chen, Shanhui Sun, Xiaoqian Huang, Dinggang Shen, Qian Wang, Shu Liao:
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction. MLMIR@MICCAI 2020: 82-90 - [c516]Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI 2020: 111-119 - [c515]Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen:
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI 2020: 121-130 - [c514]Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) 2020: 134-144 - [c513]Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. MICCAI (Challenges) 2020: 135-144 - [c512]Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. MICCAI (Challenges) 2020: 145-154 - [c511]Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. MICCAI (2) 2020: 158-166 - [c510]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI 2020: 169-177 - [c509]Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen:
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI 2020: 170-179 - [c508]Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue:
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. MICCAI (3) 2020: 171-180 - [c507]Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue:
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) 2020: 181-189 - [c506]Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) 2020: 191-201 - [c505]Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI 2020: 200-209 - [c504]Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen:
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. MLMI@MICCAI 2020: 210-219 - [c503]Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248 - [c502]Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen:
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI 2020: 241-249 - [c501]Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) 2020: 251-259 - [c500]Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) 2020: 260-269 - [c499]Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290 - [c498]Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap:
Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. MICCAI (7) 2020: 354-363 - [c497]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI 2020: 373-383 - [c496]Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li:
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI 2020: 384-393 - [c495]Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c494]Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424 - [c493]Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen:
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. MICCAI (4) 2020: 470-479 - [c492]Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI 2020: 474-483 - [c491]Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen:
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) 2020: 583-592 - [c490]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656 - [c489]Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang:
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. MICCAI (2) 2020: 678-687 - [c488]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:
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) 2020: 807-816 - [c487]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:
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. MICCAI (4) 2020: 817-826 - [d5]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24 shells diffusion MRI. Version 1. Zenodo, 2020 [all versions]
- [d4]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 2. Zenodo, 2020 [all versions] - [d3]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 3. Zenodo, 2020 [all versions] - [d2]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 4. Zenodo, 2020 [all versions] - [d1]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI artefact removal with unpaired data". Zenodo, 2020 - [i45]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. CoRR abs/2002.09703 (2020) - [i44]Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020) - [i43]Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi:
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. CoRR abs/2003.04655 (2020) - [i42]Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen:
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR abs/2003.09860 (2020) - [i41]Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen:
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. CoRR abs/2003.11988 (2020) - [i40]Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020) - [i39]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i38]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR abs/2005.03227 (2020) - [i37]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i36]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. CoRR abs/2005.03405 (2020) - [i35]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, 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. CoRR abs/2005.03832 (2020) - [i34]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, 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. CoRR abs/2005.04043 (2020) - [i33]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020) - [i32]Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen:
An Auto-Context Deformable Registration Network for Infant Brain MRI. CoRR abs/2005.09230 (2020) - [i31]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. CoRR abs/2005.10439 (2020) - [i30]Yue Sun, Kun Gao, Zhengwang Wu, 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, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020) - [i29]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. CoRR abs/2007.16103 (2020) - [i28]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020) - [i27]Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen:
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. CoRR abs/2009.06899 (2020) - [i26]Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. CoRR abs/2012.13697 (2020)
2010 – 2019
- 2019
- [j288]Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park:
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access 7: 18382-18391 (2019) - [j287]Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen:
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7: 33728-33740 (2019) - [j286]Jingfan Fan, Jian Yang, Yachen Wang, Siyuan Yang, Danni Ai, Yong Huang, Hong Song, Yongtian Wang, Dinggang Shen:
Deep feature descriptor based hierarchical dense matching for X-ray angiographic images. Comput. Methods Programs Biomed. 175: 233-242 (2019) - [j285]Feng Zhao, Islem Rekik, Seong-Whan Lee, Jing Liu, Junying Zhang, Dinggang Shen:
Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complex. 2019: 5937274:1-5937274:17 (2019) - [j284]Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen:
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics 13: 30 (2019) - [j283]Sahar Ahmad, Jingfan Fan, Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. Frontiers Neuroinformatics 13: 34 (2019) - [j282]Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen:
Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. 51: 157-168 (2019) - [j281]Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52: 80-96 (2019) - [j280]Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. Medical Image Anal. 53: 79-94 (2019) - [j279]Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Anal. 53: 111-122 (2019) - [j278]Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. 54: 168-178 (2019) - [j277]Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
BIRNet: Brain image registration using dual-supervised fully convolutional networks. Medical Image Anal. 54: 193-206 (2019) - [j276]Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019)