Zhe Xu - RankMe

63 papers A* 1Misc 2Journal 39Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis. CoRR Xinyao Wu, Zhe Xu, Cheng Chen, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2026	J	`jnl`	GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2026	J	`jnl`	Semi-supervised semantic segmentation meets masked modeling : Fine-grained locality learning matters in consistency regularization. Pattern Recognit. Wentao Pan, Zhe Xu, Jiangpeng Yan, Zihan Wu, Raymond Kai-Yu Tong, Xiu Li, Jianhua Yao
2025	J	`jnl`	A Unified Low-level Foundation Model for Enhancing Pathology Image Quality. CoRR Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqaing Li, Junlin Hou, Fuxiang Huang, Xi Wang, Ronald Cheong Kin Chan, Terence Tsz Wai Wong, Hao Chen
2025	J	`jnl`	A Versatile Foundation Model for AI-enabled Mammogram Interpretation. CoRR Fuxiang Huang, Jiayi Zhu, Yunfang Yu, Yu Xie, Yuan Guo, Qingcong Kong, Mingxiang Wu, Xinrui Jiang, Shu Yang, Jiabo Ma, Ziyi Liu, Zhe Xu, Zhixuan Chen, Yujie Tan, Zifan He, Luhui Mao, Xi Wang, Junlin Hou, Lei Zhang, Qiong Luo, Zhenhui Li, Herui Yao, Hao Chen
2025	J	`jnl`	A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model. CoRR Zhe Xu, Ziyi Liu, Junlin Hou, Jiabo Ma, Cheng Jin, Yihui Wang, Zhixuan Chen, Zhengyu Zhang, Zhengrui Guo, Fengtao Zhou, Yingxue Xu, Xi Wang, Ronald Cheong Kin Chan, Li Liang, Hao Chen
2025	J	`jnl`	Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification. CoRR Conghao Xiong, Zhengrui Guo, Zhe Xu, Yifei Zhang, Raymond Kai-Yu Tong, Si Yong Yeo, Hao Chen, Joseph J. Y. Sung, Irwin King
2025	—	`conf`	Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models. MICCAI (14) Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2025	J	`jnl`	Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning. CoRR Zhe Xu, Cheng Jin, Yihui Wang, Ziyi Liu, Hao Chen
2025	J	`jnl`	Emerging Cyber Attack Risks of Medical AI Agents. CoRR Jianing Qiu, Lin Li, Jiankai Sun, Hao Wei, Zhe Xu, Kyle Lam, Wu Yuan
2025	J	`jnl`	FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation. CoRR Zhipeng Deng, Zhe Xu, Tsuyoshi Isshiki, Yefeng Zheng
2025	—	`conf`	Improving Instance-Based Whole Slide Image Classification with Logit-Based Log-Sum-Exp Aggregator and Contextual Awareness. BIBM Wentao Pan, Donghuan Lu, Jiangpeng Yan, Zhe Xu, Conghao Xiong, Dong Wei, Xian Wu, Yixuan Yuan
2025	J	`jnl`	Multi-Faceted Consistency learning with active cross-labeling for barely-supervised 3D medical image segmentation. Medical Image Anal. Xinyao Wu, Zhe Xu, Raymond Kai-Yu Tong
2025	—	`conf`	RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation. MICCAI (5) Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, Liansheng Wang
2025	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. IEEE Trans. Medical Imaging Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2024	J	`jnl`	Continual learning in medical image analysis: A survey. Comput. Biol. Medicine Xinyao Wu, Zhe Xu, Raymond Kai-Yu Tong
2024	A*	`conf`	Diversified and Personalized Multi-Rater Medical Image Segmentation. CVPR Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai
2024	J	`jnl`	Diversified and Personalized Multi-rater Medical Image Segmentation. CoRR Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai
2024	—	`conf`	FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2024	—	`conf`	Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation. MICCAI (11) Xinyao Wu, Zhe Xu, Raymond Kai-Yu Tong
2024	—	`conf`	MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. EMNLP (Findings) Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024	J	`jnl`	MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. CoRR Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024	J	`jnl`	Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Anal. Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2024	J	`jnl`	Trust it or not: Confidence-guided automatic radiology report generation. Neurocomputing Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He
2024	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. CoRR Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2023	J	`jnl`	Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Anal. Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong
2023	—	`conf`	Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong
2023	—	`conf`	Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation. IPMI Wentao Pan, Jiangpeng Yan, Hanbo Chen, Jiawei Yang, Zhe Xu, Xiu Li, Jianhua Yao
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	J	`jnl`	Semi-supervised Semantic Segmentation Meets Masked Modeling: Fine-grained Locality Learning Matters in Consistency Regularization. CoRR Wentao Pan, Zhe Xu, Jiangpeng Yan, Zihan Wu, Raymond Kai-Yu Tong, Xiu Li, Jianhua Yao
2023	J	`jnl`	Superpixel-guided class-level denoising for unsupervised domain adaptive fundus image segmentation without source data. Comput. Biol. Medicine Meng Zhou, Zhe Xu, Raymond Kai-Yu Tong
2023	—	`conf`	Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation. EMBC Zhe Xu, Raymond Kai-Yu Tong
2023	—	`conf`	Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. MICCAI (7) Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2023	—	`conf`	Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization. MICCAI (2) Meng Zhou, Zhe Xu, Kang Zhou, Raymond Kai-Yu Tong
2023	—	`conf`	You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. MICCAI (1) Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2023	J	`jnl`	You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2022	J	`jnl`	All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022	J	`jnl`	Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022	Misc	`conf`	Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. ICASSP Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
2022	—	`conf`	Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. MICCAI (6) Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022	J	`jnl`	Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. CoRR Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022	—	`conf`	Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong
2022	—	`conf`	Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong
2022	J	`jnl`	Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation. CoRR Wentao Pan, Jiangpeng Yan, Hanbo Chen, Jiawei Yang, Zhe Xu, Xiu Li, Jianhua Yao
2022	—	`conf`	On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2022	J	`jnl`	Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction. CoRR Jiangpeng Yan, ChengHui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang, Xiu Li, Jianhua Yao
2022	J	`jnl`	Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. CoRR ChengHui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li
2021	J	`jnl`	All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021	J	`jnl`	Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021	J	`jnl`	F3RNet: full-resolution residual registration network for deformable image registration. Int. J. Comput. Assist. Radiol. Surg. Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
2021	—	`conf`	Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. MICCAI (8) Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, YuYao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021	—	`conf`	Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. MICCAI (1) Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li
2021	J	`jnl`	Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. CoRR Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li
2021	—	`conf`	Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. ICONIP (4) ChengHui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li
2021	—	`conf`	Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. ISBI Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2021	Misc	`conf`	Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. ICASSP Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan
2020	—	`conf`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. MICCAI (3) Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	J	`jnl`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. CoRR Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	J	`jnl`	Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? CoRR Jie Luo, Guangshen Ma, Sarah F. Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra J. Golby, Patrick J. Codd, Masashi Sugiyama, William M. Wells III
2020	J	`jnl`	F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration. CoRR Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
2020	J	`jnl`	Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks. CoRR Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2020	J	`jnl`	Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. CoRR Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan