PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zehui Liao; Yong Xia 001; Chunhua Shen (CoRR, 2020)

Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Jianpeng Zhang; Yong Xia 001 (CoRR, 2021)

Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (CoRR, 2021)

Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (MICCAI (8), 2022)

Boundary-Aware Network for Kidney Parsing. - Shishuai Hu; Zehui Liao; Yiwen Ye; Yong Xia 001 (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

Boundary-Aware Network for Abdominal Multi-Organ Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

Instance-specific Label Distribution Regularization for Learning with Label Noise. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (CoRR, 2022)

Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. - Zehui Liao; Yutong Xie 001; Shishuai Hu; Yong Xia 001 (IEEE Trans. Medical Imaging, 2022)

URL: Combating Label Noise for Lung Nodule Malignancy Grading. - Xianze Ai; Zehui Liao; Yong Xia 001 (DALI@MICCAI, 2023)

Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (MICCAI (4), 2023)

Transformer-Based Annotation Bias-Aware Medical Image Segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (MICCAI (4), 2023)

Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Jianpeng Zhang; Yong Xia 001 (IEEE Trans. Medical Imaging, 2023)

GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification. - Xianze Ai; Zehui Liao; Yong Xia 001 (UNSURE@MICCAI, 2024)

Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Zeyou Liu; Yong Xia 001 (CoRR, 2024)

Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification. - Zehui Liao; Shishuai Hu; Yong Xia 001 (CoRR, 2024)

Modeling annotator preference and stochastic annotation error for medical image segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (Medical Image Anal., 2024)

Unleashing the potential of open-set noisy samples against label noise for medical image classification. - Zehui Liao; Shishuai Hu; Yanning Zhang 001; Yong Xia 001 (Medical Image Anal., 2025)

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. - Zehui Liao; Shishuai Hu; Ke Zou; Huazhu Fu; Liangli Zhen; Yong Xia 001 (CoRR, 2025)

Instance-dependent Label Distribution Estimation for Learning with Label Noise. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (Int. J. Comput. Vis., 2025)

Cycle Context Verification for In-Context Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Liangli Zhen; Huazhu Fu; Yong Xia 001 (CoRR, 2025)