Baochang Zhang
Orcid: 0000-0002-2615-787XAffiliations:
- Chinese Academy of Sciences, Shenzhen, China
According to our database1,
Baochang Zhang
authored at least 12 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-Ray Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Clinical Image-Based Procedures - 13th International Workshop, 2024
Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
2021
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks.
IEEE Trans. Medical Imaging, 2021
2020
Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels.
Neurocomputing, 2020
Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.
Comput. Methods Programs Biomed., 2020
2019
Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019