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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
[j495]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)- [j494]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) - 2024
- [j493]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) - [j492]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) - [j491]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) - [j490]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) - [j489]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) - [j488]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) - [j487]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) - [j486]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) - [j485]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) - [j484]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) - [j483]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) - [j482]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) - [j481]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) - [j480]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) - [j479]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) - [j478]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) - [j477]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) - [j476]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) - [j475]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) - [j474]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) - [j473]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) - [j472]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) - [j471]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) - [j470]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) - [j469]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) - [j468]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) - [j467]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) - [j466]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) - [j465]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) - [j464]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) - [j463]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) - [j462]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) - [j461]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) - [j460]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) - [c666]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 - [c665]Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. AAAI 2024: 7543-7551 - [c664]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 - [c663]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 - [c662]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 - [c661]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 - [c660]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 - [c659]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 - [c658]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 - [c657]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 - [c656]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 - [c655]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 - [c654]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 - [c653]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 - [c652]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 - [c651]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 - [c650]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 - [c649]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 - [c648]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 - [c647]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 - [c646]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 - [c645]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 - [c644]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 - [c643]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 - [c642]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 - [c641]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 - [c640]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 - [c639]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 - [c638]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 - [c637]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 - [c636]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 - [c635]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 - [c634]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 - [c633]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 - [c632]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 - [c631]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 - [c630]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 - [c629]Jia Mi, Caiwen Jiang, Dinggang Shen:
Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT Images. WBIR 2024: 216-225 - [i136]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) - [i135]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) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]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) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]Yulin Wang, Honglin Xiong, Kaicong Sun, Shuwei Bai, Ling Dai, Zhongxiang Ding, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
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