Baochang Zhang

According to our database, Baochang Zhang authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs.

Zichen Zhang, Baochang Zhang, Mohammad Farid Azampour, Shahrooz Faghihroohi, Agnieszka Tomczak, Heribert Schunkert, Nassir Navab

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration.

Baochang Zhang, Shahrooz Faghihroohi, Mohammad Farid Azampour, Shuting Liu, Reza Ghotbi, Heribert Schunkert, Nassir Navab

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

2022

Real-time guidewire tracking and segmentation in intraoperative x-ray.

Baochang Zhang, Mai Bui, Cheng Wang, Felix Bourier, Heribert Schunkert, Nassir Navab

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2021

Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks.

Shuting Liu, Baochang Zhang, Yiqing Liu, Anjia Han, Huijuan Shi, Tian Guan, Yonghong He

IEEE Trans. Medical Imaging, 2021

2020

Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels.

Baochang Zhang, Shuting Liu, Shoujun Zhou, Jian Yang, Cheng Wang, Na Li, Zonghan Wu, Jun Xia

Neurocomputing, 2020

Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.

Na Li, Shoujun Zhou, Zonghan Wu, Baochang Zhang, Gang Zhao

Comput. Methods Programs Biomed., 2020

2019

Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton.

Zonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data.

Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang, Aichi Chien

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.

Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao

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.

Shuting Liu, Baochang Zhang, Xi Li, Yiqing Liu, Mengying Hu, Tian Guan, Yonghong He

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019