Artificial intelligence, modeling & computational methods programs at the Martinos Center integrate advanced AI, machine learning, and computational science to push the boundaries of biomedical imaging. Researchers in this area develop and apply AI-driven approaches that improve how imaging data are acquired, reconstructed, analyzed, and interpreted — for example, creating deep learning-based algorithms for faster, more accurate MRI reconstruction and image registration that can reduce scan times, enhance image quality, and support downstream analyses in neuroscience and clinical research. Teams working in this domain are also innovating computational tools that make complex tasks such as brain image alignment more robust and accessible, while exploring new models that automate aspects of image processing and facilitate real-time decision support in translational and clinical settings.
Martinos Faculty
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