Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j452]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)- [j451]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) - [j450]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) - [j449]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) - [j448]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) - [j447]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) - [j446]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) - [j445]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) - [j444]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) - [j443]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) - [j442]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) - [j441]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) - [j440]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) - [j439]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) - [j438]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) - [j437]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) - [j436]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) - [j435]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) - [j434]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) - [j433]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) - [j432]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) - [j431]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) - [j430]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) - [j429]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) - [j428]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) - [j427]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) - [j426]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) - [j425]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) - [j424]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) - [j423]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) - [j422]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) - [j421]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) - [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 - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]