Xiao Zhang

According to our database, Xiao Zhang authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation.

Xiao Zhang, Zhuo Jin, Shaoxuan Wu, Fengyu Wang, Guansheng Peng, Xiang Zhang, Ying Huang, Jingkun Chen, Jun Feng

CoRR, July, 2025

TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation.

Peilin Zhang, Shaouxan Wua, Jun Feng, Zhuo Jin, Zhizezhang Gao, Jingkun Chen, Yaqiong Xing, Xiao Zhang

CoRR, July, 2025

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images.

Yuxin Kang, Hansheng Li, Xiaoshuang Shi, Xiao Zhang, Yaqiong Xing, Yuting Wen, Yi Wang, Lei Cui, Jun Feng, Lin Yang

IEEE Trans. Medical Imaging, June, 2025

HELPNet: Hierarchical perturbations consistency and entropy-guided ensemble for scribble supervised medical image segmentation.

Xiao Zhang, Shaoxuan Wu, Peilin Zhang, Zhuo Jin, Xiaosong Xiong, Qirong Bu, Jingkun Chen, Jun Feng

Medical Image Anal., 2025

Vascular-Topology-Aware Deep Structure Matching for 2D DSA and 3D CTA Rigid Registration.

Xiaosong Xiong, Caiwen Jiang, Peng Wu, Xiao Zhang, Yanli Song, Xinyi Zhang, Ze Tao, Dijia Wu, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2025

2024

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.

Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen

IEEE Trans. Medical Imaging, February, 2024

Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image.

Shaoxuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li, Jun Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Discontinuity-Aware Coronary Artery Segmentation on CCTA Image.

Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Scribble-Based Medical Image Segmentation via Shape Perturbation Consistency and Boundary Enhancement Constraint.

Shaoxuan Wu, Xiao Zhang, Ying Huang, Xia Sun, Jun Feng

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Self-Attention Network With Position-Prior Guided Feature Mapping And Clustering For 3D Pancreas Segnentation.

Kaiyang Fan, Min Zhang, Shouhai Xia, Junli Du, Pan Yang, Xiao Zhang, Jun Feng

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide.

Mo Zhou, Hansheng Li, Zhizezhang Gao, Mengxin Lu, Xiao Zhang, Yuxin Kang, Lei Cui, Jun Feng, Lin Yang

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

SACH-Net: Shape-Adaptive Convolution and Hierarchical Topology Constraints Framework for Coronary Artery Segmentation.

Zhuo Jin, Shaoxuan Wu, Zhizezhang Gao, Xiaosong Xiong, Xiao Zhang, Jun Feng

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images.

Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.

Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, November, 2023

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.

Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases.

Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model.

Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation.

Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.

Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Location-Guided Coarse-to-Fine Network for Whole Heart Segmentation.

Xiang Zhang, Xiao Zhang, Hangzai Luo, Sheng Zhong, Lei Tang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy.

Feihong Liu, Xiao Zhang, Hongyu Wang, Jun Feng

Entropy, 2020