Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. - Zhe Xu 012; Jie Luo 003; Jiangpeng Yan; Ritvik Pulya; Xiu Li 001; William M. Wells III; Jayender Jagadeesan (MICCAI (3), 2020)

Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? - Jie Luo 003; Guangshen Ma; Sarah F. Frisken; Parikshit Juvekar; Nazim Haouchine; Zhe Xu 012; Yiming Xiao; Alexandra J. Golby; Patrick J. Codd; Masashi Sugiyama; William M. Wells III (CoRR, 2020)

F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration. - Zhe Xu 012; Jie Luo 003; Jiangpeng Yan; Xiu Li 001; Jagadeesan Jayender (CoRR, 2020)

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. - Zhe Xu 012; Jiangpeng Yan; Jie Luo 003; Xiu Li 001; Jayender Jagadeesan (ICASSP, 2021)

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. - Chenghui Yu; Mingkang Tang; ShengGe Yang; Mingqing Wang; Zhe Xu 012; Jiangpeng Yan; Hanmo Chen; Yu Yang 015; Xiao-Jun Zeng; Xiu Li 001 (ICONIP (4), 2021)

Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. - Zhe Xu 012; Jiangpeng Yan; Jie Luo 003; William M. Wells III; Xiu Li 001; Jayender Jagadeesan (ISBI, 2021)

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. - Zhe Xu 012; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Jagadeesan Jayender; Kai Ma 002; Yefeng Zheng 001; Xiu Li 001 (MICCAI (1), 2021)

Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. - Jiangpeng Yan; Hanbo Chen; Kang Wang; Yan Ji 004; Yuyao Zhu; Jingjing Li; Dong Xie; Zhe Xu 012; Junzhou Huang; Shuqun Cheng; Xiu Li 001; Jianhua Yao 001 (MICCAI (8), 2021)

F3RNet: full-resolution residual registration network for deformable image registration. - Zhe Xu 012; Jie Luo 003; Jiangpeng Yan; Xiu Li 001; Jagadeesan Jayender (Int. J. Comput. Assist. Radiol. Surg., 2021)

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Jayender Jagadeesan; William M. Wells III; Sarah F. Frisken; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. - Yixin Wang 003; Zhe Xu 012; Jiang Tian; Jie Luo 003; Zhongchao Shi; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (ICASSP, 2022)

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. - Jiashun Chen; Donghuan Lu; Yu Zhang 185; Dong Wei 004; Munan Ning; Xinyu Shi; Zhe Xu 012; Yefeng Zheng 001 (MICCAI (6), 2022)

On the Dataset Quality Control for Image Registration Evaluation. - Jie Luo 003; Guangshen Ma; Nazim Haouchine; Zhe Xu 012; Yixin Wang 003; Tina Kapur; Lipeng Ning; William M. Wells III; Sarah F. Frisken (MICCAI (6), 2022)

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Sarah F. Frisken; Jayender Jagadeesan; William M. Wells III; Xiu Li 001; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (6), 2022)

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. - Zhe Xu 012; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Dong Wei 004; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (5), 2022)

Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction. - Jiangpeng Yan; ChengHui Yu; Hanbo Chen; Zhe Xu 012; Junzhou Huang; Xiu Li 001; Jianhua Yao 001 (CoRR, 2022)

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. - Zhe Xu 012; Yixin Wang 003; Donghuan Lu; Lequan Yu; Jiangpeng Yan; Jie Luo 003; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE J. Biomed. Health Informatics, 2022)

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. - Zhe Xu 012; Donghuan Lu; Jie Luo 003; Yixin Wang 003; Jiangpeng Yan; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE Trans. Medical Imaging, 2022)

Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation. - Zhe Xu 012; Raymond Kai-Yu Tong (EMBC, 2023)

Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation. - Wentao Pan 001; Jiangpeng Yan; Hanbo Chen; Jiawei Yang 002; Zhe Xu 012; Xiu Li 001; Jianhua Yao 001 (IPMI, 2023)

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. - Jinghan Sun; Dong Wei 004; Zhe Xu 012; Donghuan Lu; Hong Liu; Liansheng Wang; Yefeng Zheng 001 (MICCAI (1), 2023)

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. - Zhe Xu 012; Donghuan Lu; Jiangpeng Yan; Jinghan Sun; Jie Luo 003; Dong Wei 004; Sarah F. Frisken; Quanzheng Li; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (4), 2023)

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. - Zhe Xu 012; Jiangpeng Yan; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (7), 2023)

Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization. - Meng Zhou; Zhe Xu 012; Kang Zhou; Raymond Kai-Yu Tong (MICCAI (2), 2023)

Semi-supervised Semantic Segmentation Meets Masked Modeling: Fine-grained Locality Learning Matters in Consistency Regularization. - Wentao Pan 001; Zhe Xu 012; Jiangpeng Yan; Zihan Wu 001; Raymond Kai-Yu Tong; Xiu Li 001; Jianhua Yao 001 (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Superpixel-guided class-level denoising for unsupervised domain adaptive fundus image segmentation without source data. - Meng Zhou; Zhe Xu 012; Raymond Kai-Yu Tong (Comput. Biol. Medicine, 2023)

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. - Zhe Xu 012; Yixin Wang 003; Donghuan Lu; Xiangde Luo; Jiangpeng Yan; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2023)

Diversified and Personalized Multi-Rater Medical Image Segmentation. - Yicheng Wu 001; Xiangde Luo; Zhe Xu 012; Xiaoqing Guo; Lie Ju; Zongyuan Ge; Wenjun Liao; Jianfei Cai 001 (CVPR, 2024)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Jie Luo 003; Ruiyang Ji; Jiayuan Ding; Zhe Xu 012; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (EMNLP (Findings), 2024)

Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation. - Xinyao Wu; Zhe Xu 012; Raymond Kai-Yu Tong (MICCAI (11), 2024)

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. - Zhe Xu 012; Cheng Chen 013; Donghuan Lu; Jinghan Sun; Dong Wei 004; Yefeng Zheng 001; Quanzheng Li; Raymond Kai-Yu Tong (MICCAI (8), 2024)

Continual learning in medical image analysis: A survey. - Xinyao Wu; Zhe Xu 012; Raymond Kai-Yu Tong (Comput. Biol. Medicine, 2024)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Zhe Xu 012; Jie Luo 003; Ruiyang Ji; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (CoRR, 2024)

Trust it or not: Confidence-guided automatic radiology report generation. - Yixin Wang 003; Zihao Lin 003; Zhe Xu 012; Haoyu Dong; Jie Luo 003; Jiang Tian; Zhongchao Shi; Lifu Huang; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (Neurocomputing, 2024)

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. - Zhe Xu 012; Donghuan Lu; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2024)

Multi-Faceted Consistency learning with active cross-labeling for barely-supervised 3D medical image segmentation. - Xinyao Wu; Zhe Xu 012; Raymond Kai-Yu Tong (Medical Image Anal., 2025)

FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation. - Zhipeng Deng; Zhe Xu 012; Tsuyoshi Isshiki; Yefeng Zheng 001 (CoRR, 2025)

Emerging Cyber Attack Risks of Medical AI Agents. - Jianing Qiu; Lin Li 070; Jiankai Sun; Hao Wei; Zhe Xu 012; Kyle Lam; Wu Yuan 001 (CoRR, 2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. - Jinghan Sun; Dong Wei 004; Zhe Xu 012; Donghuan Lu; Hong Liu; Hong Wang 021; Sotirios A. Tsaftaris; Steven McDonagh 001; Yefeng Zheng 001; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification. - Conghao Xiong; Zhengrui Guo; Zhe Xu 012; Yifei Zhang; Raymond Kai-Yu Tong; Si Yong Yeo; Hao Chen 011; Joseph J. Y. Sung; Irwin King (CoRR, 2025)