Marc Modat
Papers
1
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2
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About
Dr. Marc Modat is a leading researcher in medical image computing, with a primary focus on developing advanced algorithms for image registration, segmentation, and analysis. His most influential work centers on the NiftyReg package, a widely-used open-source software for efficient, high-performance image registration that has become a cornerstone in neuroimaging and clinical research. With over 10,000 citations across his publications, Dr. Modat has significantly advanced the field of computational anatomy, particularly through his contributions to groupwise registration and longitudinal analysis of brain changes in neurodegenerative diseases. His notable achievements include pioneering work on GPU-accelerated registration and the development of robust methods for multi-modal image fusion. Dr. Modat’s research has been instrumental in enabling large-scale studies of aging and dementia, and his tools are employed by research groups worldwide. His recent work explores deep learning for medical image analysis, including applications in surgical skill assessment, demonstrating his continued impact on both fundamental methodology and translational healthcare solutions.
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