Xiao Zhang

Orcid: 0009-0006-4347-9172

Affiliations:
  • Northwest University, School of Information Science and Technology, Xi'an, China


According to our database1, Xiao Zhang authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.
IEEE Trans. Medical Imaging, February, 2024

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.
IEEE Trans. Medical Imaging, November, 2023

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Location-Guided Coarse-to-Fine Network for Whole Heart Segmentation.
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.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Context-Aware Superpixel and Bilateral Entropy - Image Coherence Induces Less Entropy.
Entropy, 2020


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