Wangbin Ding

Lecturer, Fujian Medical University

Cardiac Image Analysis

Medical Image Registration

Myocardial Pathology Segmentation

Deep Learning in Medical Imaging

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About

Ph.D. in Engineering from Fuzhou University (2019-2023) | Lecturer at Fujian Medical University School of Medical Imaging

Research expertise in cardiac image analysis, medical image registration, and deep learning for pathology quantification. Leading NSFC and university-funded projects on myocardial infarction analysis and manifold dynamics learning.

Key Achievements

  • 15+ publications in top-tier journals (IEEE TMI, IEEE JBHI, Medical Image Analysis)
  • NSFC Youth Science Fund Project PI - ¥300,000
  • Fujian Medical University "Zonglian Scholar" PI - ¥500,000
  • Board Member & Treasurer of MICCAI SIG-Cardiac
  • IEEE TMI Distinguished Reviewer (2023-2024)
  • Fuzhou University Outstanding Ph.D. Thesis Award

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Selected Publications | *Corresponding Author

  • 2025 | Ding, W., et al. CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR. IEEE Transactions on Medical Imaging. (JCR Q1)
  • 2025 | Yang, M., ..., Ding, W*. Non-Invasive Urine Flow Dynamics Characterization of Pediatric Hydronephrosis. Computer Methods and Programs in Biomedicine. (JCR Q1)
  • 2024 | Ding, W., et al. Multi-Organ Registration With Continual Learning. IEEE Signal Processing Letters. (JCR Q2)
  • 2023 | Ding, W., et al. Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Transactions on Medical Imaging. (JCR Q1)
  • 2022 | Ding, W., et al. Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. IEEE Journal of Biomedical and Health Informatics. (JCR Q1)
  • 2022 | Li, L., Ding, W., et al. Multi-Modality Cardiac Image Computing: A Survey. Medical Image Analysis. (JCR Q1)
  • 2021 | Ding, W., et al. Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. STACOM (Top Cardiac Conference, Oral)
  • 2020 | Ding, W., et al. Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. MICCAI Workshop. (Oral)

View full publication list on Google Scholar or GitHub profile

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