Wangbin Ding

According to our database, Wangbin Ding authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Multi-Source Domain Adaptation for Medical Image Segmentation.

Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang, Xiahai Zhuang

IEEE Trans. Medical Imaging, April, 2024

2023

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation.

Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang

IEEE Trans. Medical Imaging, December, 2023

Multi-modality cardiac image computing: A survey.

Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau

Medical Image Anal., August, 2023

2022

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion.

Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang

IEEE J. Biomed. Health Informatics, 2022

Multi-Modality Cardiac Image Computing: A Survey.

Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau

CoRR, 2022

Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network.

Mengjun Wu, Wangbin Ding, Mingjin Yang, Liqin Huang

CoRR, 2022

Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network.

Mengjun Wu, Wangbin Ding, Mingjing Yang, Liqin Huang

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

2021

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.

Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang

CoRR, 2021

Unsupervised MMRegNet based on Spatially Encoded Gradient Information.

Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang

CoRR, 2021

Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation.

Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang

Comput. Methods Programs Biomed., 2021

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.

Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information.

Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2020

Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images.

Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information.

Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks.

Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint.

Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020