Domain generalization for mammographic image analysis with contrastive learning - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang; Chenjin Lei; Xi Ouyang; Dongdong Chen; Xiangyu Zhao; Chunling Liu; Zaiyi Liu; Yajia Gu; Dinggang Shen; et al. (Comput. Biol. Medicine, 2025)

Inspect quantitative signals in placental histopathology: Computer-assisted multiple functional tissues identification through multi-model fusion and distillation framework - Yiming Liu; Ling Zhang; Mingxue Gu; Yaoxing Xiao; Ting Yu; Xiang Tao; Qing Zhang; Yan Wang; Dinggang Shen; Qingli Li (Comput. Medical Imaging Graph., 2025)

Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans - Xuechun Wang; Yuting Meng; Zhijian Dong; Zehong Cao; Yichu He; Tianyang Sun; Qing Zhou; Guozhong Niu; Zhongxiang Ding; Feng Shi; Dinggang Shen (Comput. Methods Programs Biomed., 2025)

Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification - Dongdong Chen; Mengjun Liu; Sheng Wang; Zheren Li; Lu Bai; Qian Wang; Dinggang Shen; Lichi Zhang (Knowl. Based Syst., 2025)

Clinical knowledge-guided hybrid classification network for automatic periodontal disease diagnosis in X-ray image - Lanzhuju Mei; Ke Deng; Zhiming Cui; Yu Fang; Yuan Liu; Hongchang Lai; Maurizio Tonetti; Dinggang Shen (Medical Image Anal., 2025)

Learnable color space conversion and fusion for stain normalization in pathology images - Jing Ke; Yijin Zhou; Yiqing Shen; Yi Guo; Ning Liu; Xiaodan Han; Dinggang Shen (Medical Image Anal., 2025)

Learning better contrastive view from radiologist's gaze - Sheng Wang; Zihao Zhao; Zixu Zhuang; Xi Ouyang; Lichi Zhang; Zheren Li; Chong Ma; Tianming Liu; Dinggang Shen; Qian Wang (Pattern Recognit., 2025)

A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Fang Xie; Qihao Guo; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Image-and-Label Conditioning Latent Diffusion Model: Synthesizing A\beta-PET From MRI for Detecting Amyloid Status - Zaixin Ou; Yongsheng Pan; Fang Xie; Qihao Guo; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Structure-Aware Brain Tissue Segmentation for Isointense Infant MRI Data Using Multi-Phase Multi-Scale Assistance Network - Jiameng Liu; Feihong Liu; Dong Nie; Yuning Gu; Yuhang Sun; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Transferring Adult-Like Phase Images for Robust Multi-View Isointense Infant Brain Segmentation - Huabing Liu; Jiawei Huang; Dengqiang Jia; Qian Wang; Jun Xu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI - Lei Zhou; Yuzhong Zhang; Jiadong Zhang; Xuejun Qian; Chen Gong; Kun Sun; Zhongxiang Ding; Xing Wang; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Integrating Eye Tracking With Grouped Fusion Networks for Semantic Segmentation on Mammogram Images - Jiaming Xie; Qing Zhang; Zhiming Cui; Chong Ma; Yan Zhou; Wenping Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction - Zhentao Liu; Yu Fang; Changjian Li; Han Wu; Yuan Liu; Dinggang Shen; Zhiming Cui (IEEE Trans. Medical Imaging, 2025)

Construction of unbiased dental template and parametric dental model for precision digital dentistry - Lei Ma; Jingyang Zhang; Ke Deng; Peng Xue; Zhiming Cui; Yu Fang; Minhui Tan; Yue Zhao; Min Zhu; Zhongxiang Ding; Dinggang Shen (Biomed. Signal Process. Control., 2024)

A progressive framework for tooth and substructure segmentation from cone-beam CT images - Minhui Tan; Zhiming Cui; Tao Zhong; Yu Fang; Yu Zhang; Dinggang Shen (Comput. Biol. Medicine, 2024)

Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis - Yuhang Sun; Yuning Gu; Feng Shi; Jiameng Liu; Guoqiang Li; Qianjin Feng; Dinggang Shen (Comput. Medical Imaging Graph., 2024)

One model, two brains: Automatic fetal brain extraction from MR images of twins - Jian Chen; Ranlin Lu; Bin Jing; He Zhang; Geng Chen; Dinggang Shen (Comput. Medical Imaging Graph., 2024)

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer - Zhenxiang Xiao; Yuzhong Chen; Junjie Yao; Lu Zhang; Zhengliang Liu; Zihao Wu; Xiaowei Yu; Yi Pan; Lin Zhao; Chong Ma; Xinyu Liu; Wei Liu; et al. (Inf. Fusion, 2024)

3D multi-modality Transformer-GAN for high-quality PET reconstruction - Yan Wang; Yanmei Luo; Chen Zu; Bo Zhan; Zhengyang Jiao; Xi Wu; Jiliu Zhou; Dinggang Shen; Luping Zhou (Medical Image Anal., 2024)

Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy - Lin Teng; Bin Wang; Xuanang Xu; Jiadong Zhang; Lanzhuju Mei; Qianjin Feng; Dinggang Shen (Medical Image Anal., 2024)

Constructing hierarchical attentive functional brain networks for early AD diagnosis - Jianjia Zhang; Yunan Guo; Luping Zhou; Lei Wang; Weiwen Wu; Dinggang Shen (Medical Image Anal., 2024)

Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT - Caiwen Jiang; Tianyu Wang; Yongsheng Pan; Zhongxiang Ding; Dinggang Shen (Medical Image Anal., 2024)

Detail-preserving image warping by enforcing smooth image sampling - Qingrui Sha; Kaicong Sun; Caiwen Jiang; Mingze Xu; Zhong Xue; Xiaohuan Cao; Dinggang Shen (Neural Networks, 2024)

Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification - Mengjun Liu; Huifeng Zhang; Mianxin Liu; Dongdong Chen; Rubai Zhou; Wenxian Lu; Lichi Zhang; Dinggang Shen; Qian Wang; Daihui Peng (IEEE Trans. Affect. Comput., 2024)

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT - Chong Ma; Zihao Wu; Jiaqi Wang; Shaochen Xu; Yaonai Wei; Zhengliang Liu; Fang Zeng; Xi Jiang; Lei Guo; Xiaoyan Cai; Shu Zhang; Tuo Zhang; et al. (IEEE Trans. Artif. Intell., 2024)

A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection - Tangwei Cao; Runwei Lin; Yinuo Zheng; Dinggang Shen; Lin Xu (IEEE Trans. Biomed. Eng., 2024)

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes - Shijie Huang; Xukun Zhang; Zhiming Cui; He Zhang; Geng Chen; Dinggang Shen (IEEE Trans. Biomed. Eng., 2024)

3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising - Jiaqi Cui; Yan Wang; Luping Zhou; Yuchen Fei; Jiliu Zhou; Dinggang Shen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images - Huabing Liu; Zhengze Ni; Dong Nie; Dinggang Shen; Jinda Wang; Zhenyu Tang (IEEE Trans. Image Process., 2024)

Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images - Jian Chen; Ranlin Lu; Shilin Ye; Mengting Guang; Tewodros Megabiaw Tassew; Bin Jing; Guofu Zhang; Geng Chen; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2024)

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising - Minjoo Lim; Keun-Soo Heo; Jun-Mo Kim; Bogyeong Kang; Weili Lin; Han Zhang; Dinggang Shen; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Structure-Aware Registration Network for Liver DCE-CT Images - Peng Xue; Jingyang Zhang; Lei Ma; Mianxin Liu; Yuning Gu; Jiawei Huang; Feihong Liu; Yongsheng Pan; Xiaohuan Cao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2024)

Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI - Zhikai Yang; Dinggang Shen; Kannie W. Y. Chan; Jianpan Huang (IEEE J. Biomed. Health Informatics, 2024)

FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment - Xuanmin Chen; Liyan Ma; Shihui Ying; Dinggang Shen; Tieyong Zeng (IEEE J. Biomed. Health Informatics, 2024)

DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis - Jiajia Li; Pingping Zhang; Teng Wang; Lei Zhu; Ruhan Liu; Xia Yang; Kaixuan Wang; Dinggang Shen; Bin Sheng (IEEE Trans. Medical Imaging, 2024)

DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images - Lanzhuju Mei; Yu Fang; Yue Zhao; Xiang Sean Zhou; Min Zhu; Zhiming Cui; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction - Kaicong Sun; Qian Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation - Xiao Zhang; Kaicong Sun; Dijia Wu; Xiaosong Xiong; Jiameng Liu; Linlin Yao; Shufang Li; Yining Wang; Jun Feng; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis - Qianqian Chen; Jiadong Zhang; Runqi Meng; Lei Zhou; Zhenhui Li; Qianjin Feng; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation - Zihan Li; Yuan Zheng; Dandan Shan; Shuzhou Yang; Qingde Li; Beizhan Wang; Yuanting Zhang; Qingqi Hong; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing - Xiangxi Meng; Kaicong Sun; Jun Xu; Xuming He; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction - Jianjia Zhang; Haiyang Mao; Dingyue Chang; Hengyong Yu; Weiwen Wu; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

ChatCAD+: Toward a Universal and Reliable Interactive CAD Using LLMs - Zihao Zhao; Sheng Wang; Jinchen Gu; Yitao Zhu; Lanzhuju Mei; Zixu Zhuang; Zhiming Cui; Qian Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction - Qi Wang; Zhijie Wen; Jun Shi; Qian Wang; Dinggang Shen; Shihui Ying (IEEE Trans. Medical Imaging, 2024)

Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms - Jiaqi Cui; Pinxian Zeng; Xinyi Zeng; Yuanyuan Xu; Peng Wang; Jiliu Zhou; Yan Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images - Xibao Li; Xi Ouyang; Jiadong Zhang; Zhongxiang Ding; Yuyao Zhang; Zhong Xue; Feng Shi; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging - Tianming Liu; Dajiang Zhu; Fei Wang; Islem Rekik; Xia Ben Hu; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images - Jiadong Zhang; Zhiming Cui; Caiwen Jiang; Shanshan Guo; Fei Gao; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity - Mianxin Liu; Han Zhang; Feng Shi; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rectify ViT Shortcut Learning by Visual Saliency - Chong Ma; Lin Zhao; Yuzhong Chen; Lei Guo; Tuo Zhang; Xintao Hu; Dinggang Shen; Xi Jiang; Tianming Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images - Runqi Meng; Xiao Zhang; Shijie Huang; Yuning Gu; Guiqin Liu; Guangyu Wu; Nizhuan Wang; Kaicong Sun; Dinggang Shen (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis - Zihao Zhao; Sheng Wang; Qian Wang; Dinggang Shen (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis - Yin Huang; Geng Chen; Xuyun Wen; Dinggang Shen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space - Jiquan Ma; Chengdong Deng; Geng Chen; Haotian Jiang; Shijie Huang; Jaeil Kim; Xuyun Wen; Dinggang Shen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction - Jiaqi Cui; Yan Wang; Lu Wen; Pinxian Zeng; Xi Wu; Jiliu Zhou; Dinggang Shen (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Synthesizing A\(β\)-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status - Zaixin Ou; Yongsheng Pan; Yuanning Li; Fang Xie; Qihao Guo; Dinggang Shen (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI - Zaixin Ou; Caiwen Jiang; Yongsheng Pan; Yuanwang Zhang; Zhiming Cui; Dinggang Shen (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction - Li Jiang; Jiaqi Cui; Yuanyuan Xu; Binyu Yan; Jiliu Zhou; Yan Wang; Dinggang Shen (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness - Yuchen Fei; Yanmei Luo; Yan Wang; Jiaqi Cui; Yuanyuan Xu; Jiliu Zhou; Dinggang Shen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Auditory Fiber Bundle Parcellation using Text-Prompted Decomposition Networks - Jinchen Gu; Yaoxuan Wang; Caiwen Jiang; Jiameng Liu; Yuting Zhu; Mengda Jiang; Zhaoyan Wang; Feihong Liu; Hao Wu; Dinggang Shen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion - Lianghu Guo; Tianli Tao; Xinyi Cai; Zihao Zhu; Jiawei Huang; Lixuan Zhu; Zhuoyang Gu; Haifeng Tang; Rui Zhou; Siyan Han; Yan Liang; Qing Yang; et al. (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model - Zhongrui Huang; Caiwen Jiang; Jinchen Gu; Xinyi Cai; Han Zhang; Feihong Liu; Dinggang Shen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning - Xin Wang; Zhiyun Song; Yitao Zhu; Sheng Wang; Lichi Zhang; Dinggang Shen; Qian Wang (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Discontinuity-Aware Coronary Artery Segmentation on CCTA Image - Xiaosong Xiong; Xiao Zhang; Caiwen Jiang; Jiameng Liu; Zhiming Cui; Dijia Wu; Dinggang Shen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

MeLo: Low-Rank Adaptation is Better than Fine-Tuning for Medical Image Diagnosis - Yitao Zhu; Zhenrong Shen; Zihao Zhao; Sheng Wang; Xin Wang; Xiangyu Zhao; Dinggang Shen; Qian Wang (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis - Zaixin Ou; Caiwen Jiang; Yuxiao Liu; Yuanwang Zhang; Zhiming Cui; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage - Caiwen Jiang; Tianyu Wang; Xiaodan Xing; Mianxin Liu; Guang Yang; Zhongxiang Ding; Dinggang Shen (Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss - Shijie Huang; Kai Zhang; Jiawei Huang; Lingnan Kong; Fangmei Zhu; Zhongxiang Ding; Geng Chen; Dinggang Shen (Perinatal, Preterm and Paediatric Image Analysis - 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective - Kai Zhang; Shijie Huang; Fangmei Zhu; Zhongxiang Ding; Geng Chen; Dinggang Shen (Perinatal, Preterm and Paediatric Image Analysis - 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Kaicong Sun; Dinggang Shen (Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis - Yulin Wang; Honglin Xiong; Yi Xie; Jiameng Liu; Qian Wang; Qian Liu; Dinggang Shen (Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

Cephalometric Landmark Detection Across Ages with Prototypical Network - Han Wu; Chong Wang; Lanzhuju Mei; Tong Yang; Min Zhu; Dinggang Shen; Zhiming Cui (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V, 2024)

SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis - Runqi Meng; Zonglin Liu; Yiqun Sun; Dengqiang Jia; Lin Teng; Qiong Ma; Tong Tong; Kaicong Sun; Dinggang Shen (Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation - Lin Teng; Zihao Zhao; Jiawei Huang; Zehong Cao; Runqi Meng; Feng Shi; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II, 2024)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion - Zihao Zhu; Tianli Tao; Yitian Tao; Haowen Deng; Xinyi Cai; Gaofeng Wu; Kaidong Wang; Haifeng Tang; Lixuan Zhu; Zhuoyang Gu; Dinggang Shen; Han Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II, 2024)

Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction - Xiao-Xin Li; Fang-Zheng Zhu; Junwei Yang; Yong Chen; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets - Xiangyu Zhao; Xi Ouyang; Lichi Zhang; Zhong Xue; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII, 2024)

HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction - Zixin Tang; Caiwen Jiang; Zhiming Cui; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net - Anglin Liu; Dengqiang Jia; Kaicong Sun; Runqi Meng; Meixin Zhao; Yongluo Jiang; Zhijian Dong; Yaozong Gao; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX, 2024)

k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging - Ye Liu; Zhuo-Xu Cui; Kaicong Sun; Ting Zhao; Jing Cheng; Yuliang Zhu; Dinggang Shen; Dong Liang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation - Jiameng Liu; Feihong Liu; Kaicong Sun; Yuhang Sun; Jiawei Huang; Caiwen Jiang; Islem Rekik; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II, 2024)

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images - Xi Ouyang; Dongdong Gu; Xuejian Li; Wenqi Zhou; Qianqian Chen; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi; Zhong Xue; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII, 2024)

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network - Qingrui Sha; Kaicong Sun; Mingze Xu; Yonghao Li; Zhong Xue; Xiaohuan Cao; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II, 2024)

TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs - Chenfan Xu; Zhentao Liu; Yuan Liu; Yulong Dou; Jiamin Wu; Jiepeng Wang; Minjiao Wang; Dinggang Shen; Zhiming Cui (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images - Haoyuan Chen; Yonghao Li; Jiadong Zhang; Qi Xu; Meiyu Li; Zhenhui Li; Xuejun Qian; Dinggang Shen (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression - Caiwen Jiang; Xiaodan Xing; Zaixin Ou; Mianxin Liu; Simon Walsh; Guang Yang; Dinggang Shen (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model - Runqi Wang; Zehong Cao; Yichu He; Jiameng Liu; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images - Jiuli Xiong; Lanzhuju Mei; Jiameng Liu; Dinggang Shen; Zhong Xue; Xiaohuan Cao (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II, 2024)

Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections - Yichen Yang; Pengbo Jiang; Xiran Cai; Zhong Xue; Dinggang Shen (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification - Jiameng Liu; Furkan Pala; Islem Rekik; Dinggang Shen (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning - Chong Ma; Hanqi Jiang; Wenting Chen; Yiwei Li; Zihao Wu; Xiaowei Yu; Zhengliang Liu; Lei Guo; Dajiang Zhu; Tuo Zhang; Dinggang Shen; Tianming Liu; et al. (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT Images - Jia Mi; Caiwen Jiang; Dinggang Shen (Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data - Michalis Pistos; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (CoRR, 2024)

Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction - Jiaqi Cui; Yan Wang; Lu Wen; Pinxian Zeng; Xi Wu; Jiliu Zhou; Dinggang Shen (CoRR, 2024)

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation - Zihan Li; Yuan Zheng; Dandan Shan; Shuzhou Yang; Qingde Li; Beizhan Wang; Yuanting Zhang; Qingqi Hong; Dinggang Shen (CoRR, 2024)

Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging - Kwanseok Oh; Jieun Lee; Da-Woon Heo; Dinggang Shen; Heung-Il Suk (CoRR, 2024)

Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion - Lianghu Guo; Tianli Tao; Xinyi Cai; Zihao Zhu; Jiawei Huang; Lixuan Zhu; Zhuoyang Gu; Haifeng Tang; Rui Zhou; Siyan Han; Yan Liang; Qing Yang; et al. (CoRR, 2024)

Eye-gaze Guided Multi-modal Alignment Framework for Radiology - Chong Ma; Hanqi Jiang; Wenting Chen; Zihao Wu; Xiaowei Yu; Fang Zeng; Lei Guo; Dajiang Zhu; Tuo Zhang; Dinggang Shen; Tianming Liu; Xiang Li (CoRR, 2024)

Human Mesh Recovery from Arbitrary Multi-view Images - Xiaoben Li; Mancheng Meng; Ziyan Wu; Terrence Chen; Fan Yang; Dinggang Shen (CoRR, 2024)

Self-learning Canonical Space for Multi-view 3D Human Pose Estimation - Xiaoben Li; Mancheng Meng; Ziyan Wu; Terrence Chen; Fan Yang; Dinggang Shen (CoRR, 2024)

Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks - Luoyu Wang; Yitian Tao; Qing Yang; Yan Liang; Siwei Liu; Hongcheng Shi; Dinggang Shen; Han Zhang (CoRR, 2024)

Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness - Yuchen Fei; Yanmei Luo; Yan Wang; Jiaqi Cui; Yuanyuan Xu; Jiliu Zhou; Dinggang Shen (CoRR, 2024)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion - Zihao Zhu; Tianli Tao; Yitian Tao; Haowen Deng; Xinyi Cai; Gaofeng Wu; Kaidong Wang; Haifeng Tang; Lixuan Zhu; Zhuoyang Gu; Jiawei Huang; Dinggang Shen; et al. (CoRR, 2024)

3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning - Zhentao Liu; Huangxuan Zhao; Wenhui Qin; Zhenghong Zhou; Xinggang Wang; Wenping Wang; Xiaochun Lai; Chuansheng Zheng; Dinggang Shen; Zhiming Cui (CoRR, 2024)

Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning - Xin Wang; Zhiyun Song; Yitao Zhu; Sheng Wang; Lichi Zhang; Dinggang Shen; Qian Wang (CoRR, 2024)

Cephalometric Landmark Detection across Ages with Prototypical Network - Han Wu; Chong Wang; Lanzhuju Mei; Tong Yang; Min Zhu; Dinggang Shen; Zhiming Cui (CoRR, 2024)

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports - Yutong Zhang; Yi Pan; Tianyang Zhong; Peixin Dong; Kangni Xie; Yuxiao Liu; Hanqi Jiang; Zhengliang Liu; Shijie Zhao; Tuo Zhang; Xi Jiang; Dinggang Shen; et al. (CoRR, 2024)

TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs - Chenfan Xu; Zhentao Liu; Yuan Liu; Yulong Dou; Jiamin Wu; Jiepeng Wang; Minjiao Wang; Dinggang Shen; Zhiming Cui (CoRR, 2024)

A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Kaicong Sun; Dinggang Shen (CoRR, 2024)

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation - Lin Teng; Zihao Zhao; Jiawei Huang; Zehong Cao; Runqi Meng; Feng Shi; Dinggang Shen (CoRR, 2024)

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression - Caiwen Jiang; Xiaodan Xing; Zaixin Ou; Mianxin Liu; Simon Walsh; Guang Yang; Dinggang Shen (CoRR, 2024)

A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage - Caiwen Jiang; Tianyu Wang; Xiaodan Xing; Mianxin Liu; Guang Yang; Zhongxiang Ding; Dinggang Shen (CoRR, 2024)

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks - Jiaqi Wang; Hanqi Jiang; Yiheng Liu; Chong Ma; Xu Zhang; Yi Pan; Mengyuan Liu; Peiran Gu; Sichen Xia; Wenjun Li; Yutong Zhang; Zihao Wu; et al. (CoRR, 2024)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI - Lei Zhou; Yuzhong Zhang; Jiadong Zhang; Xuejun Qian; Chen Gong; Kun Sun; Zhongxiang Ding; Xing Wang; Zhenhui Li; Zaiyi Liu; Dinggang Shen (CoRR, 2024)

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images - Jiuli Xiong; Lanzhuju Mei; Jiameng Liu; Dinggang Shen; Zhong Xue; Xiaohuan Cao (CoRR, 2024)

Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation - Yulin Wang; Honglin Xiong; Kaicong Sun; Shuwei Bai; Ling Dai; Zhongxiang Ding; Jiameng Liu; Qian Wang; Qian Liu; Dinggang Shen (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI - Tianyang Zhong; Zhengliang Liu; Yi Pan; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels - Dengqiang Jia; Xinnian Yang; Xiaosong Xiong; Shijie Huang; Feiyu Hou; Li Qin; Kaicong Sun; Kannie W. Y. Chan; Dinggang Shen (CoRR, 2024)

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms - Caiwen Jiang; Mianxin Liu; Kaicong Sun; Dinggang Shen (CoRR, 2024)

3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation - Haoshen Wang; Zhentao Liu; Kaicong Sun; Xiaodong Wang; Dinggang Shen; Zhiming Cui (CoRR, 2024)

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning - Xin Wang; Jun Wang; Fei Shan; Yiqiang Zhan; Jun Shi; Dinggang Shen (Comput. Biol. Medicine, 2023)

Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? - Feihong Liu; Junwei Yang; Mingyue Feng; Zhiming Cui; Xiaowei He; Luping Zhou; Jun Feng; Dinggang Shen (Comput. Medical Imaging Graph., 2023)

Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease - Xingyu Gao; Feng Shi; Dinggang Shen; Manhua Liu (Comput. Medical Imaging Graph., 2023)

Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images - Jing Ke; Yiqing Shen; Yizhou Lu; Yi Guo; Dinggang Shen (Comput. Methods Programs Biomed., 2023)

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis - Bing Cao; Zhiwei Bi; Qinghua Hu; Han Zhang; Nannan Wang; Xinbo Gao; Dinggang Shen (Int. J. Comput. Vis., 2023)

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning - 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; et al. (Medical Image Anal., 2023)

Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection - Zhenrong Shen; Xi Ouyang; Bin Xiao; Jie-Zhi Cheng; Dinggang Shen; Qian Wang (Medical Image Anal., 2023)

ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets - Jing Ke; Yizhou Lu; Yiqing Shen; Junchao Zhu; Yijin Zhou; Jinghan Huang; Jieteng Yao; Xiaoyao Liang; Yi Guo; Zhonghua Wei; Sheng Liu; Qin Huang; et al. (Medical Image Anal., 2023)

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification - Zhengyang Jiao; Xingchen Peng; Yan Wang; Jianghong Xiao; Dong Nie; Xi Wu; Xin Wang; Jiliu Zhou; Dinggang Shen (Medical Image Anal., 2023)

TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images - Lu Tang; Chuangeng Tian; Hang Yang; Zhiming Cui; Yu Hui; Kai Xu; Dinggang Shen (Medical Image Anal., 2023)

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders - Shengjie Zhang; Xiang Chen; Xin Shen; Bohan Ren; Ziqi Yu; Haibo Yang; Xi Jiang; Dinggang Shen; Yuan Zhou; Xiao-Yong Zhang (Medical Image Anal., 2023)

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework - Jiadong Zhang; Zhiming Cui; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis - Xiangmin Han; Jun Wang; Shihui Ying; Jun Shi; Dinggang Shen (Pattern Recognit., 2023)

Cross-level Feature Aggregation Network for Polyp Segmentation - Tao Zhou; Yi Zhou; Kelei He; Chen Gong; Jian Yang; Huazhu Fu; Dinggang Shen (Pattern Recognit., 2023)

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder - Zuowei Jiang; Xiaoyan Cai; Libin Yang; Dehong Gao; Wei Zhao; Junwei Han; Jun Liu; Dinggang Shen; Tianming Liu (IEEE Trans. Biomed. Eng., 2023)

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images - Qi Zhu; Yuze Zhou; Yuan Yao; Liang Sun; Feng Shi; Wei Shao; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution - Hao Hou; Jun Xu; Yingkun Hou; Xiaotao Hu; Benzheng Wei; Dinggang Shen (IEEE Trans. Image Process., 2023)

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction - Renping Yu; Han Zhang; Xuehai Wu; Xuan Fei; Qing Yang; Zhiwei Ma; Zengxin Qi; Di Zang; Weijun Tang; Ying Mao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation - Shengjie Zhang; Bohan Ren; Ziqi Yu; Haibo Yang; Xiaoyang Han; Xiang Chen; Yuan Zhou; Dinggang Shen; Xiao-Yong Zhang (IEEE J. Biomed. Health Informatics, 2023)

Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia - Renping Yu; Cong Pan; Xuan Fei; Mingming Chen; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images - Zhiyang Lu; Jian Wang; Zheng Li; Shihui Ying; Jun Wang; Jun Shi; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease - Xingyu Gao; Hongrui Liu; Feng Shi; Dinggang Shen; Manhua Liu (IEEE J. Biomed. Health Informatics, 2023)

Individualized Assessment of Brain A\(β\) Deposition With fMRI Using Deep Learning - Chaolin Li; Mianxin Liu; Jing Xia; Lang Mei; Qing Yang; Feng Shi; Han Zhang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution - Zixu Zhuang; Liping Si; Sheng Wang; Kai Xuan; Xi Ouyang; Yiqiang Zhan; Zhong Xue; Lichi Zhang; Dinggang Shen; Weiwu Yao; Qian Wang (IEEE Trans. Medical Imaging, 2023)

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity - Yanbei Liu; Henan Li; Tao Luo; Changqing Zhang; Zhitao Xiao; Ying Wei; Yaozong Gao; Feng Shi; Fei Shan; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis - Ruhan Liu; Tianqin Wang; Huating Li; Ping Zhang; Jing Li; Xiaokang Yang; Dinggang Shen; Bin Sheng (IEEE Trans. Medical Imaging, 2023)

BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images - Chong Wang; Zhiming Cui; Junwei Yang; Miaofei Han; Gustavo Carneiro; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast - Junwei Yang; Xiao-Xin Li; Feihong Liu; Dong Nie; Pietro Liò; Haikun Qi; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN - Yiqing Shen; Arcot Sowmya; Yulin Luo; Xiaoyao Liang; Dinggang Shen; Jing Ke (IEEE Trans. Medical Imaging, 2023)

Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint - Caiwen Jiang; Yongsheng Pan; Zhiming Cui; Dong Nie; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling - Linlin Yao; Feng Shi; Sheng Wang; Xiao Zhang; Zhong Xue; Xiaohuan Cao; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song; Qian Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning - Chong Ma; Lin Zhao; Yuzhong Chen; Sheng Wang; Lei Guo; Tuo Zhang; Dinggang Shen; Xi Jiang; Tianming Liu (IEEE Trans. Medical Imaging, 2023)

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis - Yonghao Li; Tao Zhou; Kelei He; Yi Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation - Jing Ke; Kai Liu; Yuxiang Sun; Yuying Xue; Jiaxuan Huang; Yizhou Lu; Jun Dai; Yaobing Chen; Xiaodan Han; Yiqing Shen; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification - Yonghao Li; Yiqing Shen; Jiadong Zhang; Shujie Song; Zhenhui Li; Jing Ke; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning - Jiadong Zhang; Zhiming Cui; Luping Zhou; Yiqun Sun; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis - Shuai Wang; Kun Sun; Li Wang; Liangqiong Qu; Fuhua Yan; Qian Wang; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression - Sijie Niu; Kun Gao; Pengfei Ma; Xizhan Gao; Hui Zhao; Jiwen Dong; Yuehui Chen; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

3D Structure-guided Network for Tooth Alignment in 2D Photograph - Yulong Dou; Lanzhuju Mei; Dinggang Shen; Zhiming Cui (34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023, 2023)

Crafting Good Views of Medical Images for Contrastive Learning via Expert-level Visual Attention - Sheng Wang; Zihao Zhao; Lichi Zhang; Dinggang Shen; Qian Wang (Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA, 2023)

S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage - Caiwen Jiang; Yongsheng Pan; Tianyu Wang; Qing Chen; Junwei Yang; Li Ding; Jiameng Liu; Zhongxiang Ding; Dinggang Shen (Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023)

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge - Shijie Huang; Geng Chen; Kaicong Sun; Zhiming Cui; Xukun Zhang; Peng Xue; Xuan Zhang; He Zhang; Dinggang Shen (Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023)

TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains - Caiwen Jiang; Yongsheng Pan; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI - 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 (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis - Xiaozhao Liu; Mianxin Liu; Lang Mei; Yuyao Zhang; Feng Shi; Han Zhang; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening - Jiyuan Liu; Xiao Zhang; Dongdong Gu; Xi Ouyang; Jiadong Zhang; Xuming He; Dinggang Shen; Zhong Xue (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation - Runqi Meng; Xiao Zhang; Shijie Huang; Yuning Gu; Guangyu Wu; Guiqin Liu; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Dental Anatomy Segmentation from Cone Beam CT Images - Minhui Tang; Yu Fang; Lei Ma; Yu Zhang; Zhiming Cui; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans - Xiaoxian Xu; Ying Wei; Jie Zheng; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Dinggang Shen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model - Caiwen Jiang; Yongsheng Pan; Mianxin Liu; Lei Ma; Xiao Zhang; Jiameng Liu; Xiaosong Xiong; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 2023)

Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction - Yongsheng Pan; Feihong Liu; Caiwen Jiang; Jiawei Huang; Yong Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X, 2023)

Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases - Xingyu Gao; Feng Shi; Dinggang Shen; Manhua Liu (Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis - Lanzhuju Mei; Yu Fang; Zhiming Cui; Ke Deng; Nizhuan Wang; Xuming He; Yiqiang Zhan; Xiang Zhou; Maurizio Tonetti; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI, 2023)

Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation - Jiameng Liu; Feihong Liu; Kaicong Sun; Mianxin Liu; Yuhang Sun; Yuyan Ge; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023)

Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification - Changkai Ji; Changde Du; Qing Zhang; Sheng Wang; Chong Ma; Jiaming Xie; Yan Zhou; Huiguang He; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images - Meiyu Li; Kaicong Sun; Yuning Gu; Kai Zhang; Yiqun Sun; Zhenhui Li; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation - Jiadong Zhang; Qianqian Chen; Luping Zhou; Zhiming Cui; Fei Gao; Zhenhui Li; Qianjin Feng; Dinggang Shen (Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings, 2023)

Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees - Zixu Zhuang; Xin Wang; Sheng Wang; Zhenrong Shen; Xiangyu Zhao; Mengjun Liu; Zhong Xue; Dinggang Shen; Lichi Zhang; Qian Wang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023)

Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting - Michalis Pistos; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Multi-view Vertebra Localization and Identification from CT Images - Han Wu; Jiadong Zhang; Yu Fang; Zhentao Liu; Nizhuan Wang; Zhiming Cui; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms - Jiaqi Cui; Pinxian Zeng; Xinyi Zeng; Peng Wang; Xi Wu; Jiliu Zhou; Yan Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X, 2023)

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants - Chenyu Xue; Fan Wang; Yuanzhuo Zhu; Hui Li; Deyu Meng; Dinggang Shen; Chunfeng Lian (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II, 2023)

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction - Zeyu Han; Yuhan Wang; Luping Zhou; Peng Wang; Binyu Yan; Jiliu Zhou; Yan Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X, 2023)

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images - Wenqi Zhou; Xiao Zhang; Dongdong Gu; Sheng Wang; Jiayu Huo; Rui Zhang; Zhihao Jiang; Feng Shi; Zhong Xue; Yiqiang Zhan; Xi Ouyang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III, 2023)

CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography - Yuehui Qiu; Zihan Li; Yining Wang; Pei Dong; Dijia Wu; Xinnian Yang; Qingqi Hong; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III, 2023)

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases - Xiao Zhang; Feihong Liu; Yuning Gu; Xiaosong Xiong; Caiwen Jiang; Jun Feng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks - Feihong Liu; Yongsheng Pan; Junwei Yang; Fang Xie; Xiaowei He; Han Zhang; Feng Shi; Jun Feng; Qihao Guo; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, 2023)

Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network - Yimeng Yang; Dongdong Gu; Xukun Zhang; Zhongxiang Ding; Fei Gao; Zhong Xue; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I, 2023)

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis - Qingxia Wu; Hongna Tan; Zhi Qiao; Pei Dong; Dinggang Shen; Meiyun Wang; Zhong Xue (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, 2023)

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion - Nan Zhao; Yongsheng Pan; Kaicong Sun; Yuning Gu; Mianxin Liu; Zhong Xue; Han Zhang; Qing Yang; Fei Gao; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, 2023)

FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation - Lei Zhao; Lei Ma; Zhiming Cui; Jie Zheng; Zhong Xue; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, 2023)

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI - Shanshan Guo; Jiadong Zhang; Dongdong Gu; Fei Gao; Yiqiang Zhan; Zhong Xue; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I, 2023)

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance - Yuhang Sun; Jiameng Liu; Feihong Liu; Kaicong Sun; Han Zhang; Feng Shi; Qianjin Feng; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I, 2023)

Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Zaixin Ou; Dinggang Shen (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I, 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain - Zhengliang Liu; Aoxiao Zhong; Yiwei Li; Longtao Yang; Chao Ju; Zihao Wu; Chong Ma; Peng Shu; Cheng Chen; Sekeun Kim; Haixing Dai; Lin Zhao; et al. (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I, 2023)

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint - 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; et al. (Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, 2023)