I'm wangbin ding

Medcial Image Registration

Myocardial Pathology Segmentaiton

GitHub Email
wangbin - bash
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Ding Wangbin graduated from Fuzhou University with a major in Artificial Intelligence. Currently, he is employed at Fujian Medical University and serves as a co-founder at Fuzhou Insense Technology Co., Ltd. In recent years, his primary research focus has been on multimodal cardiac image registration, multimodal cardiac image segmentation, and analysis of acute myocardial infarction pathology in multi-sequence MRI. In the interdisciplinary field of medical imaging and artificial intelligence, Ding Wangbin has contributed to over 10 publications in top international academic conferences and journals such as MICCAI, IEEE JBHI, IEEE TMI, and MedIA.

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  • Ding, W., Li, L., Qiu, J., Wang, S., Huang, L., Chen, Y., Yang, S. and Zhuang, X., 2023. Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Transactions on Medical Imaging.
  • Ding, W., Li, L., Zhuang, X. and Huang, L., 2020, September. Cross-modality multi-atlas segmentation using deep neural networks. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 233-242). Cham: Springer International Publishing.
  • Ding, W., Li, L., Huang, L. and Zhuang, X., 2021, September. Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. In International Workshop on Statistical Atlases and Computational Models of the Heart (pp. 151-159). Cham: Springer International Publishing.
  • Ding, W., Li, L., Zhuang, X. and Huang, L., 2022. Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. IEEE Journal of Biomedical and Health Informatics, 26(7), pp.3104-3115.
  • Li, L., Ding, W., Huang, L., Zhuang, X. and Grau, V., 2023. Multi-modality cardiac image computing: A survey. Medical Image Analysis, p.102869.
  • Pei, C., Wu, F., Yang, M., Pan, L., Ding, W., Dong, J., Huang, L. and Zhuang, X., 2023. Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE Transactions on Medical Imaging.
  • Zhang, Z., Liu, C., Ding, W., Wang, S., Pei, C., Yang, M. and Huang, L., 2020. Multi-modality pathology segmentation framework: application to cardiac magnetic resonance images. In Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images: First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 1 (pp. 37-48). Springer International Publishing.
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