Articles with public access mandates - Zhe XuLearn more
Not available anywhere: 9
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
Z Xu, Y Wang, D Lu, X Luo, J Yan, Y Zheng, RK Tong
Medical Image Analysis, 2023
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Anti-interference from Noisy Labels: Mean-Teacher-assisted Confident Learning for Medical Image Segmentation
Z Xu, D Lu, J Luo, Y Wang, J Yan, K Ma, Y Zheng, RK Tong
IEEE Transactions on Medical Imaging, 2022
Mandates: Research Grants Council, Hong Kong
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
Z Xu, D Lu, Y Wang, J Luo, D Wei, Y Zheng, RK Tong
MICCAI 2022 (early accept), 2022
Mandates: Research Grants Council, Hong Kong
Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization
M Zhou, Z Xu*, K Zhou, RK Tong*
MICCAI 2023, 2023
Mandates: Research Grants Council, Hong Kong
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Z Xu, D Lu, J Yan, J Sun, J Luo, D Wei, S Frisken, Q Li, Y Zheng, RK Tong
MICCAI 2023 (Oral), 2023
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Superpixel-guided class-level denoising for unsupervised domain adaptive fundus image segmentation without source data
M Zhou, Z Xu*, RK Tong*
Computers in Biology and Medicine, 2023
Mandates: Research Grants Council, Hong Kong
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data
Z Xu, D Lu, J Luo, Y Zheng, RK Tong
Medical Image Analysis, 2024
Mandates: Research Grants Council, Hong Kong
Discovery of distinct cancer cachexia phenotypes using an unsupervised machine-learning algorithm
HF Wu, JP Yan, Q Wu, Z Yu, HX Xu, CH Song, ZQ Guo, W Li, YJ Xiang, ...
Nutrition, 2024
Mandates: National Natural Science Foundation of China
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
Z Xu, J Yan, D Lu, Y Wang, J Luo, Y Zheng, RK Tong
MICCAI 2023, 2023
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Available somewhere: 14
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, A Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging, 2022
Mandates: Federal Ministry of Education and Research, Germany
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Z Xu, J Luo, J Yan, R Pulya, X Li, W Wells III, J Jagadeesan
MICCAI 2020, 2020
Mandates: US National Institutes of Health
All-around real label supervision: Cyclic prototype consistency learning for semi-supervised medical image segmentation
Z Xu, Y Wang, D Lu, L Yu, J Yan, J Luo, K Ma, Y Zheng, RK Tong
IEEE Journal of Biomedical and Health Informatics 26 (7), 3174-3184, 2022
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
Z Xu, D Lu, Y Wang, J Luo, J Jagadeesan, K Ma, Y Zheng, X Li
MICCAI 2021 (early accept), 2021
Mandates: National Natural Science Foundation of China
F3RNet: full-resolution residual registration network for deformable image registration
Z Xu, J Luo, J Yan, X Li, J Jayender
International Journal of Computer Assisted Radiology and Surgery (IJCARS) 16 …, 2021
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Y Wang, Z Lin, Z Xu, H Dong, J Tian, J Luo, Z Shi, L Huang, Y Zhang, ...
Neurocomputing, 2024
Mandates: US National Institutes of Health
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
Z Xu, J Luo, D Lu, J Yan, S Frisken, J Jagadeesan, W Wells III, X Li, ...
MICCAI 2022 (early accept), 2022
Mandates: US National Institutes of Health, Research Grants Council, Hong Kong
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
J Yan, H Chen, K Wang, Y Ji, Y Zhu, J Li, D Xie, Z Xu, J Huang, S Cheng, ...
MICCAI 2021 (early accept), 2021
Mandates: National Natural Science Foundation of China
Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
Z Xu, J Yan, J Luo, X Li, J Jagadeesan
ICASSP 2021, 2021
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
W Pan, J Yan, H Chen, J Yang, Z Xu, X Li, J Yao
Information Processing in Medical Imaging (IPMI 2023 oral), 2023
Mandates: National Natural Science Foundation of China
Unimodal cyclic regularization for training multimodal image registration networks
Z Xu, J Yan, J Luo, W Wells, X Li, J Jagadeesan
IEEE International Symposium on Biomedical Imaging (ISBI), 2021
Mandates: US National Institutes of Health, National Natural Science Foundation of China
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