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.
Martinos Faculty
Iman Aganj
Berkin Bilgic
Giorgio Bonmassar
Kevin Chung
Adrian Dalca
Thomas Deisboeck
Neel Dey
Robert Frost
Jessie Fanglu Fu
Ting Gong
Bastien Guerin
Malte Hoffmann
Juan Eugenio Iglesias
Mainak Jas
Yohan Jun
Albert Kim
Valerie Klein
Neha Koonjoo
Hong-Hsi Lee
Jian Li
Fang Liu
Aapo Nummenmaa
Matthew Rosen
Bragi Sveinsson
Ona Wu
Anastasia Yendiki
Lilla Zollei