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 (CoRR, 2023)

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models - Sheng Wang; Zihao Zhao; Xi Ouyang; Qian Wang; Dinggang Shen (CoRR, 2023)

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks - Mianxin Liu; Jingyang Zhang; Yao Wang; Yan Zhou; Fang Xie; Qihao Guo; Feng Shi; Han Zhang; Qian Wang; Dinggang Shen (CoRR, 2023)

ChatAug: Leveraging ChatGPT for Text Data Augmentation - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Zihao Wu; Lin Zhao; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Quanzheng Li; et al. (CoRR, 2023)

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 (CoRR, 2023)

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4 - Zhengliang Liu; Xiaowei Yu; Lu Zhang; Zihao Wu; Chao Cao; Haixing Dai; Lin Zhao; Wei Liu; Dinggang Shen; Quanzheng Li; Tianming Liu; Dajiang Zhu; et al. (CoRR, 2023)

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction - Zhentao Liu; Yu Fang; Changjian Li; Han Wu; Yuan Liu; Zhiming Cui; Dinggang Shen (CoRR, 2023)

When Brain-inspired AI Meets AGI - Lin Zhao; Lu Zhang; Zihao Wu; Yuzhong Chen; Haixing Dai; Xiaowei Yu; Zhengliang Liu; Tuo Zhang; Xintao Hu; Xi Jiang; Xiang Li; Dajiang Zhu; et al. (CoRR, 2023)

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task - Honglin Xiong; Sheng Wang; Yitao Zhu; Zihao Zhao; Yuxiao Liu; Linlin Huang; Qian Wang; Dinggang Shen (CoRR, 2023)

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models - Yiheng Liu; Tianle Han; Siyuan Ma; Jiayue Zhang; Yuanyuan Yang; Jiaming Tian; Hao He; Antong Li; Mengshen He; Zhengliang Liu; Zihao Wu; Dajiang Zhu; et al. (CoRR, 2023)

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 Tang; Yue Zhao; Min Zhu; Zhongxiang Ding; Dinggang Shen (CoRR, 2023)

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT - Chong Ma; Zihao Wu; Jiaqi Wang; Shaochen Xu; Yaonai Wei; Zhengliang Liu; Lei Guo; Xiaoyan Cai; Shu Zhang; Tuo Zhang; Dajiang Zhu; Dinggang Shen; et al. (CoRR, 2023)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task - Zihao Wu; Lu Zhang; Chao Cao; Xiaowei Yu; Haixing Dai; Chong Ma; Zhengliang Liu; Lin Zhao; Gang Li; Wei Liu; Quanzheng Li; Dinggang Shen; et al. (CoRR, 2023)

Domain Generalization for Mammographic Image Analysis via Contrastive Learning - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang; Chenjin Lei; Xi Ouyang; Dongdong Chen; Zixu Zhuang; Xiangyu Zhao; Yajia Gu; Zaiyi Liu; Chunling Liu; et al. (CoRR, 2023)

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT - Tianyang Zhong; Yaonai Wei; Li Yang; Zihao Wu; Zhengliang Liu; Xiaozheng Wei; Wenjun Li; Junjie Yao; Chong Ma; Xiang Li; Dajiang Zhu; Xi Jiang; et al. (CoRR, 2023)

Prompt Engineering for Healthcare: Methodologies and Applications - Jiaqi Wang; Enze Shi; Sigang Yu; Zihao Wu; Chong Ma; Haixing Dai; Qiushi Yang; Yanqing Kang; Jinru Wu; Huawen Hu; Chenxi Yue; Haiyang Zhang; et al. (CoRR, 2023)

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT - Zhenxiang Xiao; Yuzhong Chen; Lu Zhang; Junjie Yao; Zihao Wu; Xiaowei Yu; Yi Pan; Lin Zhao; Chong Ma; Xinyu Liu; Wei Liu; Xiang Li; et al. (CoRR, 2023)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction - Qi Wang; Zhijie Wen; Jun Shi; Qian Wang; Dinggang Shen; Shihui Ying (CoRR, 2023)

Learning Better Contrastive View from Radiologist's Gaze - Sheng Wang; Zixu Zhuang; Xi Ouyang; Lichi Zhang; Zheren Li; Chong Ma; Tianming Liu; Dinggang Shen; Qian Wang (CoRR, 2023)

ChatCAD+: Towards 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 (CoRR, 2023)

Artificial General Intelligence for Medical Imaging - Xiang Li; Lu Zhang; Zihao Wu; Zhengliang Liu; Lin Zhao; Yixuan Yuan; Jun Liu; Gang Li; Dajiang Zhu; Pingkuan Yan; Quanzheng Li; Wei Liu; et al. (CoRR, 2023)

Radiology-GPT: A Large Language Model for Radiology - 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. (CoRR, 2023)

Review of Large Vision Models and Visual Prompt Engineering - Jiaqi Wang; Zhengliang Liu; Lin Zhao; Zihao Wu; Chong Ma; Sigang Yu; Haixing Dai; Qiushi Yang; Yiheng Liu; Songyao Zhang; Enze Shi; Yi Pan; et al. (CoRR, 2023)

Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning - Lei Ma; Peng Xue; Yuning Gu; Yue Zhao; Min Zhu; Zhongxiang Ding; Dinggang Shen (CoRR, 2023)

Multi-View Vertebra Localization and Identification from CT Images - Han Wu; Jiadong Zhang; Yu Fang; Zhentao Liu; Nizhuan Wang; Zhiming Cui; Dinggang Shen (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing - Zhengliang Liu; Tianyang Zhong; Yiwei Li; Yutong Zhang; Yi Pan; Zihao Zhao; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu; et al. (CoRR, 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 (CoRR, 2023)

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 (CoRR, 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 (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology - Zhengliang Liu; Yiwei Li; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu; Chong Ma; Jie Luo; Cheng Chen; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data - Tianyang Zhong; Wei Zhao; Yutong Zhang; Yi Pan; Peixin Dong; Zuowei Jiang; Xiaoyan Kui; Youlan Shang; Li Yang; Yaonai Wei; Longtao Yang; Hao Chen; et al. (CoRR, 2023)

3D Structure-guided Network for Tooth Alignment in 2D Photograph - Yulong Dou; Lanzhuju Mei; Dinggang Shen; Zhiming Cui (CoRR, 2023)

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 (CoRR, 2023)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images - Yuxuan Shi; Jun Xu; Dinggang Shen (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu; Chong Ma; Yiwei Li; Xiaowei Yu; Yutong Zhang; Yi Pan; Peng Shu; Yanjun Lyu; Lu Zhang; et al. (CoRR, 2023)

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis - Zihao Zhao; Sheng Wang; Qian Wang; Dinggang Shen (CoRR, 2023)

CLIP in Medical Imaging: A Comprehensive Survey - Zihao Zhao; Yuxiao Liu; Han Wu; Yonghao Li; Sheng Wang; Lin Teng; Disheng Liu; Zhiming Cui; Qian Wang; Dinggang Shen (CoRR, 2023)

Joint selection of brain network nodes and edges for MCI identification - Xiao Jiang; Lishan Qiao; Renato De Leone; Dinggang Shen (Comput. Methods Programs Biomed., 2022)

COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers - Xiaoyan Cai; Sen Liu; Libin Yang; Yan Lu; Jintao Zhao; Dinggang Shen; Tianming Liu (J. Biomed. Informatics, 2022)

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis - Bo Zhan; Luping Zhou; Zhiang Li; Xi Wu; Yifei Pu; Jiliu Zhou; Yan Wang; Dinggang Shen (Knowl. Based Syst., 2022)

Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages - Yunbi Liu; Ling Yue; Shifu Xiao; Wei Yang; Dinggang Shen; Mingxia Liu (Medical Image Anal., 2022)

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition - Jun Wang; Fengyexin Zhang; Xiuyi Jia; Xin Wang; Han Zhang; Shihui Ying; Qian Wang; Jun Shi; Dinggang Shen (Medical Image Anal., 2022)

Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis - Yanmei Luo; Luping Zhou; Bo Zhan; Fei-Yue Wang; Jiliu Zhou; Yan Wang; Dinggang Shen (Medical Image Anal., 2022)

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Bing Cao; Zhanhao Mo; Qian Wang; Han Zhang; Dinggang Shen (Medical Image Anal., 2022)

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency - Jiayu Huo; Xi Ouyang; Liping Si; Kai Xuan; Sheng Wang; Weiwu Yao; Ying Liu; Jia Xu; Dahong Qian; Zhong Xue; Qian Wang; Dinggang Shen; et al. (Medical Image Anal., 2022)

Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound - Xuyang Cao; Houjin Chen; Yanfeng Li; Yahui Peng; Yue Zhou; Lin Cheng; Tianming Liu; Dinggang Shen (Medical Image Anal., 2022)

Semantic instance segmentation with discriminative deep supervision for medical images - Sihang Zhou; Dong Nie; Ehsan Adeli; Qian Wei; Xuhua Ren; Xinwang Liu; En Zhu; Jianping Yin; Qian Wang; Dinggang Shen (Medical Image Anal., 2022)

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising - Keun-Soo Heo; Dong-Hee Shin; Sheng-Che Hung; Weili Lin; Han Zhang; Dinggang Shen; Tae-Eui Kam (NeuroImage, 2022)

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease - Maryam Ghanbari; Zhen Zhou; Li-Ming Hsu; Ying Han; Yu Sun; Pew-Thian Yap; Han Zhang; Dinggang Shen (Neuroinformatics, 2022)

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data - Yongsheng Pan; Ming-Xia Liu; Yong Xia; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge - Ruhan Liu; Xiangning Wang; Qiang Wu; Ling Dai; Xi Fang; Tao Yan; Jaemin Son; Shiqi Tang; Jiang Li; Zijian Gao; Adrian Galdran; J. M. Poorneshwaran; et al. (Patterns, 2022)

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images - Xiaoming Liu; Quan Yuan; Yaozong Gao; Kelei He; Shuo Wang; Xiao Tang; Jinshan Tang; Dinggang Shen (Pattern Recognit., 2022)

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling - Jie Wei; Zhengwang Wu; Li Wang; Toan Duc Bui; Liangqiong Qu; Pew-Thian Yap; Yong Xia; Gang Li; Dinggang Shen (Pattern Recognit., 2022)

Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI - Lei Zhou; Shuai Wang; Kun Sun; Tao Zhou; Fuhua Yan; Dinggang Shen (Pattern Recognit., 2022)

Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification - Yanfang Xue; Yining Zhang; Limei Zhang; Seong-Whan Lee; Lishan Qiao; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder - Feng Zhao; Xiangfei Zhang; Kim-Han Thung; Ning Mao; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images - Chunfeng Lian; Mingxia Liu; Yongsheng Pan; Dinggang Shen (IEEE Trans. Cybern., 2022)

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis - Yu Zhang; Han Zhang; Ehsan Adeli; Xiaobo Chen; Mingxia Liu; Dinggang Shen (IEEE Trans. Cybern., 2022)

Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease - Xingyu Gao; Feng Shi; Dinggang Shen; Manhua Liu (IEEE J. Biomed. Health Informatics, 2022)

Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images - Yue Zhou; Houjin Chen; Yanfeng Li; Xuyang Cao; Shu Wang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2022)

GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images - Jintao Lu; Xi Ouyang; Xueda Shen; Tianjiao Liu; Zhiming Cui; Qian Wang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2022)

Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning - Huifeng Zhang; Zhen Zhou; Lei Ding; Chuangxin Wu; Meihui Qiu; Yueqi Huang; Feng Jin; Ting Shen; Yao Yang; Li-Ming Hsu; Jinhong Wang; Han Zhang; et al. (IEEE J. Biomed. Health Informatics, 2022)

Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging - Fanwen Wang; Hui Zhang; Fei Dai; Weibo Chen; Shuai Xu; Zidong Yang; Dinggang Shen; Chengyan Wang; He Wang (IEEE J. Biomed. Health Informatics, 2022)

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation - Gengxin Xu; Chen Liu; Jun Liu; Zhongxiang Ding; Feng Shi; Man Guo; Wei Zhao; Xiaoming Li; Ying Wei; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images - Feng Shi; Bojiang Chen; Qiqi Cao; Ying Wei; Qing Zhou; Rui Zhang; Yaojie Zhou; Wenjie Yang; Xiang Wang; Rongrong Fan; Fan Yang; Yanbo Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation - Yue Zhao; Lingming Zhang; Yang Liu; Deyu Meng; Zhiming Cui; Chenqiang Gao; Xinbo Gao; Chunfeng Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images - Dongming Wei; Sahar Ahmad; Yuyu Guo; Liyun Chen; Yunzhi Huang; Lei Ma; Zhengwang Wu; Gang Li; Li Wang; Weili Lin; Pew-Thian Yap; Dinggang Shen; et al. (IEEE Trans. Medical Imaging, 2022)

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis - Sheng Wang; Xi Ouyang; Tianming Liu; Qian Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities - Xiangmin Han; Xiaoyan Fei; Jun Wang; Tao Zhou; Shihui Ying; Jun Shi; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Multimodal MRI Reconstruction Assisted With Spatial Alignment Network - Kai Xuan; Lei Xiang; Xiaoqian Huang; Lichi Zhang; Shu Liao; Dinggang Shen; Qian Wang (IEEE Trans. Medical Imaging, 2022)

Diffusion Kernel Attention Network for Brain Disorder Classification - Jianjia Zhang; Luping Zhou; Lei Wang; Mengting Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning - Yankun Lang; Chunfeng Lian; Deqiang Xiao; Han Deng; Kim-Han Thung; Peng Yuan; Jaime Gateno; Tianshu Kuang; David M. Alfi; Li Wang; Dinggang Shen; James J. Xia; et al. (IEEE Trans. Medical Imaging, 2022)

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans - Tai-Hsien Wu; Chunfeng Lian; Sanghee Lee; Matthew Pastewait; Christian Piers; Jie Liu; Fan Wang; Li Wang; Chiung-Ying Chiu; Wenchi Wang; Christina Jackson; Wei-Lun Chao; et al. (IEEE Trans. Medical Imaging, 2022)

Identify Representative Samples by Conditional Random Field of Cancer Histology Images - Yiqing Shen; Dinggang Shen; Jing Ke (IEEE Trans. Medical Imaging, 2022)

Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI - Chunfeng Lian; Mingxia Liu; Li Wang; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images - Yan Hu; Yongsheng Pan; Yang Song; Erik Meijering; Zhiming Cui; Yue Zhao; Zhongxiang Ding; Min Zhu; Dinggang Shen (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 2022)

Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module - Caiwen Jiang; Yongsheng Pan; Zhiming Cui; Dinggang Shen (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 2022)

LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information - Mancheng Meng; Mianxin Liu; Xianjie Zhang; Yuxuan Liu; Xiran Cai; Yaozong Gao; Xiang Zhou; Dinggang Shen (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 2022)

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis - Lang Mei; Mianxin Liu; Lingbin Bian; Yuyao Zhang; Feng Shi; Han Zhang; Dinggang Shen (Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

TaG-Net: Topology-Aware Graph Network for Vessel Labeling - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song; Qian Wang; Feng Shi; Dinggang Shen (Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images - Huabing Liu; Dong Ni; Dinggang Shen; Jinda Wang; Zhenyu Tang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction - Temitope Emmanuel Komolafe; Yuhang Sun; Nizhuan Wang; Kaicong Sun; Guohua Cao; Dinggang Shen (Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, 2022)

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification - Qingxia Wu; Hongna Tan; Yaping Wu; Pei Dong; Jifei Che; Zheren Li; Chenjin Lei; Dinggang Shen; Zhong Xue; Meiyun Wang (Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

Semantic-Aware Registration with Weakly-Supervised Learning - Zhan Jin; Peng Xue; Yuyao Zhang; Xiaohuan Cao; Dinggang Shen (Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, 2022)

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization - Yiqing Shen; Yulin Luo; Dinggang Shen; Jing Ke (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022)

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images - Yu Fang; Zhiming Cui; Lei Ma; Lanzhuju Mei; Bojun Zhang; Yue Zhao; Zhihao Jiang; Yiqiang Zhan; Yongsheng Pan; Min Zhu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song; Qian Wang; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation - Jieun Lee; Kwanseok Oh; Dinggang Shen; Heung-Il Suk (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites - Jingyang Zhang; Peng Xue; Ran Gu; Yuning Gu; Mianxin Liu; Yongsheng Pan; Zhiming Cui; Jiawei Huang; Lei Ma; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning - Xiao Zhang; Jingyang Zhang; Lei Ma; Peng Xue; Yan Hu; Dijia Wu; Yiqiang Zhan; Jun Feng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Deep-Learning Based T\(_1\) and T\(_2\) Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals - Yuning Gu; Yongsheng Pan; Zhenghan Fang; Jingyang Zhang; Peng Xue; Mianxin Liu; Yuran Zhu; Lei Ma; Charlie Androjna; Xin Yu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation - Yuyan Ge; Zhenyu Tang; Lei Ma; Caiwen Jiang; Feng Shi; Shaoyi Du; Dinggang Shen (Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction - Pinxian Zeng; Luping Zhou; Chen Zu; Xinyi Zeng; Zhengyang Jiao; Xi Wu; Jiliu Zhou; Dinggang Shen; Yan Wang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization - Yuchen Fei; Chen Zu; Zhengyang Jiao; Xi Wu; Jiliu Zhou; Dinggang Shen; Yan Wang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis - Zixu Zhuang; Sheng Wang; Liping Si; Kai Xuan; Zhong Xue; Dinggang Shen; Lichi Zhang; Weiwu Yao; Qian Wang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III, 2022)

Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition - Bin Wang; Lin Teng; Lanzhuju Mei; Zhiming Cui; Xuanang Xu; Qianjin Feng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII, 2022)

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints - Jiadong Zhang; Zhiming Cui; Caiwen Jiang; Jingyang Zhang; Fei Gao; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Forecasting Human Trajectory from Scene History - Mancheng Meng; Ziyan Wu; Terrence Chen; Xiran Cai; Xiang Sean Zhou; Fan Yang; Dinggang Shen (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

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 (CoRR, 2022)

Transformers in Medical Image Analysis: A Review - Kelei He; Chen Gan; Zhuoyuan Li; Islem Rekik; Zihao Yin; Wen Ji; Yang Gao; Qian Wang; Junfeng Zhang; Dinggang Shen (CoRR, 2022)

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction - Ruiyang Zhao; Zhao He; Tao Wang; Suhao Qiu; Pawel Andrzej Herman; Yanle Hu; Chencheng Zhang; Dinggang Shen; Bomin Sun; Guang-Zhong Yang; Yuan Feng (CoRR, 2022)

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis - Sheng Wang; Xi Ouyang; Tianming Liu; Qian Wang; Dinggang Shen (CoRR, 2022)

Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation - Yue Zhao; Lingming Zhang; Yang Liu; Deyu Meng; Zhiming Cui; Chenqiang Gao; Xinbo Gao; Chunfeng Lian; Dinggang Shen (CoRR, 2022)

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution - Hao Hou; Xiaotao Hu; Jun Xu; Yingkun Hou; Benzheng Wei; Dinggang Shen (CoRR, 2022)

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning - Chong Ma; Lin Zhao; Yuzhong Chen; Lu Zhang; Zhenxiang Xiao; Haixing Dai; David Weizhong Liu; Zihao Wu; Zhengliang Liu; Sheng Wang; Jiaxing Gao; Changhe Li; et al. (CoRR, 2022)

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites - Jingyang Zhang; Peng Xue; Ran Gu; Yuning Gu; Mianxin Liu; Yongsheng Pan; Zhiming Cui; Jiawei Huang; Lei Ma; Dinggang Shen (CoRR, 2022)

Rectify ViT Shortcut Learning by Visual Saliency - Chong Ma; Lin Zhao; Yuzhong Chen; David Weizhong Liu; Xi Jiang; Tuo Zhang; Xintao Hu; Dinggang Shen; Dajiang Zhu; Tianming Liu (CoRR, 2022)

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization - Yiqing Shen; Yulin Luo; Dinggang Shen; Jing Ke (CoRR, 2022)

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion - Xiangxi Meng; Yuning Gu; Yongsheng Pan; Nizhuan Wang; Peng Xue; Mengkang Lu; Xuming He; Yiqiang Zhan; Dinggang Shen (CoRR, 2022)

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection - Zhenrong Shen; Xi Ouyang; Bin Xiao; Jie-Zhi Cheng; Qian Wang; Dinggang Shen (CoRR, 2022)

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity - Mianxin Liu; Han Zhang; Feng Shi; Dinggang Shen (CoRR, 2022)

Forecasting Human Trajectory from Scene History - Mancheng Meng; Ziyan Wu; Terrence Chen; Xiran Cai; Xiang Sean Zhou; Fan Yang; Dinggang Shen (CoRR, 2022)

JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI - Lin Zhao; Xiao Chen; Eric Z. Chen; Yikang Liu; Dinggang Shen; Terrence Chen; Shanhui Sun (CoRR, 2022)

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields - Yu Fang; Lanzhuju Mei; Changjian Li; Yuan Liu; Wenping Wang; Zhiming Cui; Dinggang Shen (CoRR, 2022)

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis - Yonghao Li; Tao Zhou; Kelei He; Yi Zhou; Dinggang Shen (CoRR, 2022)

Interactive medical image segmentation via a point-based interaction - Jian Zhang; Yinghuan Shi; Jinquan Sun; Lei Wang; Luping Zhou; Yang Gao; Dinggang Shen (Artif. Intell. Medicine, 2021)

Computing infection distributions and longitudinal evolution patterns in lung CT images - Dongdong Gu; Liyun Chen; Fei Shan; Liming Xia; Jun Liu; Zhanhao Mo; Fuhua Yan; Bin Song; Yaozong Gao; Xiaohuan Cao; Yanbo Chen; Ying Shao; et al. (BMC Medical Imaging, 2021)

GACDN: generative adversarial feature completion and diagnosis network for COVID-19 - Qi Zhu; Haizhou Ye; Liang Sun; Zhongnian Li; Ran Wang; Feng Shi; Dinggang Shen; Daoqiang Zhang (BMC Medical Imaging, 2021)

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans - Liyun Chen; Dongdong Gu; Yanbo Chen; Ying Shao; Xiaohuan Cao; Guocai Liu; Yaozong Gao; Qian Wang; Dinggang Shen (Comput. Medical Imaging Graph., 2021)

A consistent deep registration network with group data modeling - Dongdong Gu; Guocai Liu; Xiaohuan Cao; Zhong Xue; Dinggang Shen (Comput. Medical Imaging Graph., 2021)

Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion - Yanmei Luo; Dong Nie; Bo Zhan; Zhiang Li; Xi Wu; Jiliu Zhou; Yan Wang; Dinggang Shen (Neurocomputing, 2021)

Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images - Yunzhi Huang; Sahar Ahmad; Jingfan Fan; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan - Xiaofeng Zhu; Bin Song; Feng Shi; Yanbo Chen; Rongyao Hu; Jiangzhang Gan; Wenhai Zhang; Man Li; Liye Wang; Yaozong Gao; Fei Shan; Dinggang Shen (Medical Image Anal., 2021)

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering - Feihong Liu; Jun Feng; Geng Chen; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2021)

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint - Olfa Ghribi; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2021)

Hypergraph learning for identification of COVID-19 with CT imaging - Donglin Di; Feng Shi; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Bin Song; Shengrui Li; Ying Wei; Ying Shao; Miaofei Han; et al. (Medical Image Anal., 2021)

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model - Zhiming Cui; Changjian Li; Nenglun Chen; Guodong Wei; Runnan Chen; Yuanfeng Zhou; Dinggang Shen; Wenping Wang (Medical Image Anal., 2021)

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis - Yanbei Liu; Lianxi Fan; Changqing Zhang; Tao Zhou; Zhitao Xiao; Lei Geng; Dinggang Shen (Medical Image Anal., 2021)

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning - Zekun Li; Wei Zhao; Feng Shi; Lei Qi; Xingzhi Xie; Ying Wei; Zhongxiang Ding; Yang Gao; Shangjie Wu; Jun Liu; Yinghuan Shi; Dinggang Shen (Medical Image Anal., 2021)

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images - Yue Zhou; Houjin Chen; Yanfeng Li; Qin Liu; Xuanang Xu; Shu Wang; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2021)

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling - Kelei He; Chunfeng Lian; Ehsan Adeli; Jing Huo; Yang Gao; Bing Zhang; Junfeng Zhang; Dinggang Shen (Medical Image Anal., 2021)

Diverse data augmentation for learning image segmentation with cross-modality annotations - Xu Chen; Chunfeng Lian; Li Wang; Hannah H. Deng; Tianshu Kuang; Steve H. Fung; Jaime Gateno; Dinggang Shen; James J. Xia; Pew-Thian Yap (Medical Image Anal., 2021)

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification - Hao Guan; Yunbi Liu; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu (Medical Image Anal., 2021)

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images - Xuanang Xu; Chunfeng Lian; Shuai Wang; Tong Zhu; Ronald C. Chen; Andrew Z. Wang; Trevor J. Royce; Pew-Thian Yap; Dinggang Shen; Jun Lian (Medical Image Anal., 2021)

ABCnet: Adversarial bias correction network for infant brain MR images - Liangjun Chen; Zhengwang Wu; Dan Hu; Fan Wang; J. Keith Smith; Weili Lin; Li Wang; Dinggang Shen; Gang Li (Medical Image Anal., 2021)

Learning MRI artefact removal with unpaired data - Siyuan Liu; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Publisher Correction: Learning MRI artefact removal with unpaired data - Siyuan Liu; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques - Tao Zhong; Fenqiang Zhao; Yuchen Pei; Zhenyuan Ning; Lufan Liao; Zhengwang Wu; Yuyu Niu; Li Wang; Dinggang Shen; Yu Zhang; Gang Li (NeuroImage, 2021)

Advanced deep learning methods for biomedical information analysis: An editorial - Yu-Dong Zhang; Francesco Carlo Morabito; Dinggang Shen; Khan Muhammad (Neural Networks, 2021)

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients - Jun Wang; Chen Liu; Jingwen Li; Cheng Yuan; Lichi Zhang; Cheng Jin; Jianwei Xu; Yaqi Wang; Yaofeng Wen; Hongbing Lu; Biao Li; Chang Chen; et al. (npj Digit. Medicine, 2021)

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images - Kelei He; Wei Zhao; Xingzhi Xie; Wen Ji; Mingxia Liu; Zhenyu Tang; Yinghuan Shi; Feng Shi; Yang Gao; Jun Liu; Junfeng Zhang; Dinggang Shen (Pattern Recognit., 2021)

Reducing magnetic resonance image spacing by learning without ground-truth - Kai Xuan; Liping Si; Lichi Zhang; Zhong Xue; Yining Jiao; Weiwu Yao; Dinggang Shen; Dijia Wu; Qian Wang (Pattern Recognit., 2021)

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects - Deqiang Xiao; Chunfeng Lian; Li Wang; Hannah H. Deng; Hung-Ying Lin; Kim-Han Thung; Jihua Zhu; Peng Yuan; Leonel Perez Jr.; Jaime Gateno; Steve Guo-Fang Shen; Pew-Thian Yap; et al. (IEEE Trans. Biomed. Eng., 2021)

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation - Jie Xue; Kelei He; Dong Nie; Ehsan Adeli; Zhenshan Shi; Seong-Whan Lee; Yuanjie Zheng; Xiyu Liu; Dengwang Li; Dinggang Shen (IEEE Trans. Cybern., 2021)

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective - Yinghuan Shi; Wanqi Yang; Kim-Han Thung; Hao Wang; Yang Gao; Yang Pan; Li Zhang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2021)

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation - Xu Chen; Chunfeng Lian; Li Wang; Hannah H. Deng; Tianshu Kuang; Steve H. Fung; Jaime Gateno; Pew-Thian Yap; James J. Xia; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy - Shuai Wang; Mingxia Liu; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval - Erkun Yang; Mingxia Liu; Dongren Yao; Bing Cao; Chunfeng Lian; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction - Fenqiang Zhao; Zhengwang Wu; Li Wang; Weili Lin; John H. Gilmore; Shunren Xia; Dinggang Shen; Gang Li (IEEE Trans. Medical Imaging, 2021)

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity - Dongren Yao; Jing Sui; Mingliang Wang; Erkun Yang; Yeerfan Jiaerken; Na Luo; Pew-Thian Yap; Mingxia Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge - Yue Sun; Kun Gao; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei; Jun Ma; Xiaoping Yang; Xue Feng; Li Zhao; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

S3Reg: Superfast Spherical Surface Registration Based on Deep Learning - Fenqiang Zhao; Zhengwang Wu; Fan Wang; Weili Lin; Shunren Xia; Dinggang Shen; Li Wang; Gang Li (IEEE Trans. Medical Imaging, 2021)

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images - Kelei He; Chunfeng Lian; Bing Zhang; Xin Zhang; Xiaohuan Cao; Dong Nie; Yang Gao; Junfeng Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation - Ruhan Liu; Mengyao Liu; Bin Sheng; Huating Li; Ping Li; Haitao Song; Ping Zhang; Lixin Jiang; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation - Zhiming Cui; Changjian Li; Zhixu Du; Nenglun Chen; Guodong Wei; Runnan Chen; Lei Yang; Dinggang Shen; Wenping Wang (IEEE Trans. Medical Imaging, 2021)

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN - Xiaoyang Chen; Chunfeng Lian; Hannah H. Deng; Tianshu Kuang; Hung-Ying Lin; Deqiang Xiao; Jaime Gateno; Dinggang Shen; James J. Xia; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2021)

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images - Mengkang Lu; Yongsheng Pan; Dong Nie; Feihong Liu; Feng Shi; Yong Xia; Dinggang Shen (MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event, 2021)

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn - Xiaodan Xing; Yixin Ma; Lei Jin; Tianyang Sun; Zhong Xue; Feng Shi; Jinsong Wu; Dinggang Shen (MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event, 2021)

TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation - Lingming Zhang; Yue Zhao; Deyu Meng; Zhiming Cui; Chenqiang Gao; Xinbo Gao; Chunfeng Lian; Dinggang Shen (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images - Zhiming Cui; Bojun Zhang; Chunfeng Lian; Changjian Li; Lei Yang; Wenping Wang; Min Zhu; Dinggang Shen (Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings, 2021)

Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning - Haibo Yang; Guangyu Wu; Dinggang Shen; Shu Liao (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images - Zhiyang Lu; Zheng Li; Jun Wang; Jun Shi; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI, 2021)

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint - Alaa Bessadok; Ahmed Nebli; Mohamed Ali Mahjoub; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, 2021)

Variational Encoding and Decoding for Hybrid Supervision of Registration Network - Dongdong Gu; Xiaohuan Cao; Guocai Liu; Zhong Xue; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning - Dongdong Gu; Xiaohuan Cao; Guocai Liu; Dinggang Shen; Zhong Xue (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation - Jie Wei; Yongsheng Pan; Yong Xia; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms - Xi Ouyang; Jifei Che; Qitian Chen; Zheren Li; Yiqiang Zhan; Zhong Xue; Qian Wang; Jie-Zhi Cheng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, 2021)

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks - Jie Wei; Feng Shi; Zhiming Cui; Yongsheng Pan; Yong Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I, 2021)

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning - Zheren Li; Zhiming Cui; Sheng Wang; Yuji Qi; Xi Ouyang; Qitian Chen; Yuezhi Yang; Zhong Xue; Dinggang Shen; Jie-Zhi Cheng (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, 2021)

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI - Wenjun Shen; Liyun Chen; Dongming Wei; Yuanfang Qiao; Yiqiang Zhan; Dinggang Shen; Qian Wang (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network - Zehong Cao; Feng Shi; Qiang Xu; Gaoping Liu; Tianyang Sun; Xiaodan Xing; Yichu He; Guangming Lu; Zhiqiang Zhang; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

3D Transformer-GAN for High-Quality PET Reconstruction - Yanmei Luo; Yan Wang; Chen Zu; Bo Zhan; Xi Wu; Jiliu Zhou; Dinggang Shen; Luping Zhou (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI, 2021)

VertNet: Accurate Vertebra Localization and Identification Network from CT Images - Zhiming Cui; Changjian Li; Lei Yang; Chunfeng Lian; Feng Shi; Wenping Wang; Dijia Wu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, 2021)

Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections - Xiao-Xin Li; Zhijie Chen; Xin-Jie Lou; Junwei Yang; Yong Chen; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI, 2021)

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment - Sheng Wang; Zixu Zhuang; Kai Xuan; Dahong Qian; Zhong Xue; Jia Xu; Ying Liu; Yiming Chai; Lichi Zhang; Qian Wang; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading - Zelin Qiu; Yongsheng Pan; Jie Wei; Dijia Wu; Yong Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, 2021)

CA\(^2.5\)-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection - Jinghan Huang; Yiqing Shen; Dinggang Shen; Jing Ke (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII, 2021)

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning - Deqiang Xiao; Hannah H. Deng; Tianshu Kuang; Lei Ma; Qin Liu; Xu Chen; Chunfeng Lian; Yankun Lang; Daeseung Kim; Jaime Gateno; Steve Guo-Fang Shen; Dinggang Shen; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV, 2021)

Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages - Yongsheng Pan; Yuanyuan Chen; Dinggang Shen; Yong Xia (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, 2021)

Morphology-Guided Prostate MRI Segmentation with Multi-slice Association - Jianping Li; Zhiming Cui; Shuai Wang; Jie Wei; Jun Feng; Shu Liao; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration - Caiwen Jiang; Zhiming Cui; Dongming Wei; Yuhang Sun; Jiameng Liu; Jie Wei; Qun Chen; Dijia Wu; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Multi-scale Segmentation Network for Rib Fracture Classification from CT Images - Jiameng Liu; Zhiming Cui; Yuhang Sun; Caiwen Jiang; Zirong Chen; Hao Yang; Yuyao Zhang; Dijia Wu; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology - Jing Ke; Yiqing Shen; Xiaoyao Liang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII, 2021)

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis - Mianxin Liu; Han Zhang; Feng Shi; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, 2021)

CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries - Xiao Zhang; Zhiming Cui; Jun Feng; Yanli Song; Dijia Wu; Dinggang Shen (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images - Xukun Zhang; Zhiming Cui; Changan Chen; Jie Wei; Jingjiao Lou; Wenxin Hu; He Zhang; Tao Zhou; Feng Shi; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III, 2021)

Skull Segmentation from CBCT Images via Voxel-Based Rendering - Qin Liu; Chunfeng Lian; Deqiang Xiao; Lei Ma; Hannah H. Deng; Xu Chen; Dinggang Shen; Pew-Thian Yap; James J. Xia (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint - Yuhang Sun; Dongming Wei; Zhiming Cui; Yujia Zhou; Caiwen Jiang; Jiameng Liu; Qianjin Feng; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, 2021)

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection - Zhenrong Shen; Xi Ouyang; Zhuochen Wang; Yiqiang Zhan; Zhong Xue; Qian Wang; Jie-Zhi Cheng; Dinggang Shen (Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III, 2021)

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning - Zekun Li; Wei Zhao; Feng Shi; Lei Qi; Xingzhi Xie; Ying Wei; Zhongxiang Ding; Yang Gao; Shangjie Wu; Jun Liu; Yinghuan Shi; Dinggang Shen (CoRR, 2021)

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation - Kelei He; Wen Ji; Tao Zhou; Zhuoyuan Li; Jing Huo; Xin Zhang; Yang Gao; Dinggang Shen; Bing Zhang; Junfeng Zhang (CoRR, 2021)

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? - Feihong Liu; Junwei Yang; Xiaowei He; Luping Zhou; Jun Feng; Dinggang Shen (CoRR, 2021)

Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images - Zhiyang Lu; Zheng Li; Jun Wang; Jun Shi; Dinggang Shen (CoRR, 2021)

Multi-Modal MRI Reconstruction with Spatial Alignment Network - Kai Xuan; Lei Xiang; Xiaoqian Huang; Lichi Zhang; Shu Liao; Dinggang Shen; Qian Wang (CoRR, 2021)

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation - Gengxin Xu; Chen Liu; Jun Liu; Zhongxiang Ding; Feng Shi; Man Guo; Wei Zhao; Xiaoming Li; Ying Wei; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (CoRR, 2021)

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning - Deqiang Xiao; Hannah H. Deng; Tianshu Kuang; Lei Ma; Qin Liu; Xu Chen; Chunfeng Lian; Yankun Lang; Daeseung Kim; Jaime Gateno; Steve Guo-Fang Shen; Dinggang Shen; et al. (CoRR, 2021)

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans - Tai-Hsien Wu; Chunfeng Lian; Sanghee Lee; Matthew Pastewait; Christian Piers; Jie Liu; Fang Wang; Li Wang; Christina Jackson; Wei-Lun Chao; Dinggang Shen; Ching-Chang Ko (CoRR, 2021)

A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint - Alaa Bessadok; Ahmed Nebli; Mohamed Ali Mahjoub; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (CoRR, 2021)

Learning MRI Artifact Removal With Unpaired Data - Siyuan Liu; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2021)

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI - Junwei Yang; Xiao-Xin Li; Feihong Liu; Dong Nie; Pietro Liò; Haikun Qi; Dinggang Shen (CoRR, 2021)