Dr. Martin Reuter is an Assistant Professor of Radiology and of Neurology at Harvard Medical School and the Massachusetts General Hospital (Assistant in Neuroscience, Dept. of Radiology and Dept. of Neurology). He is affiliated with the Martinos Center for Biomedical Imaging and the German Center for Neurodegenerative Diseases. Dr. Reuter’s recent research on artificial intelligence in medical imaging focuses on deep learning-based method development for the automated analysis of human brain MRI to aid computer-aided diagnosis and prognosis of neurodegenerative disease. Many of his methods are widely employed as part of the FreeSurfer software package to study disease or assess disease modifying therapies, e.g., by the Alzheimer’s Disease Neuroimaging Initiative, the Rhineland Study, and other large cohort studies around the world.

During his postdoctoral research at MIT (2006-08), supported by a Feodor-Lynen fellowship of the Alexander von Humboldt Foundation, Dr. Reuter contributed novel methods for non-rigid shape analysis and processing, and received the 2009 most cited paper award of the Computer-Aided Design journal for his manuscript on spectral shape analysis. In 2006, he was awarded the Leibniz prize for outstanding scientific accomplishments by the University of Hanover, Germany, where he obtained his PhD in the area of computational and differential geometry from the Department of Electrical Engineering and Computer Science with summa cum laude in 2005. He obtained a ‘Diplom’ (MSc) in mathematics with a second major in computer science and a minor in business informatics from the Leibniz University of Hanover in 2001. His research interests include medical AI, computational neuroimaging, computational geometry and topology, computer and biomedical vision, computer-aided design, geometric modeling and computer graphics.


PhD in Computational and Differential Geometry, University of Hanover, Germany

Select Publications

1. Wachinger C, Salat DH, Weiner M, Reuter M; Alzheimer’s Disease Neuroimaging Initiative. Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala. Brain. 2016 Dec;139(Pt 12):3253-3266.

2. Wachinger C, Golland P, Kremen W, Fischl B, Reuter M; Alzheimer’s Disease Neuroimaging Initiative. BrainPrint: a discriminative characterization of brain morphology. Neuroimage. 2015 Apr 1;109:232-48.

3. Reuter M, Schmansky NJ, Rosas HD, Fischl B. Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage. 2012 Jul 16;61(4):1402-18.


2014 NIH K25 Career Award

2009 Most Cited Paper Award for “ShapeDNA”

2006 Feodor-Lynen Fellowship of the Alexander von Humboldt Foundation

2006 Research Prize of Leibniz University, Hanover, Germany


Laboratory for Computational Neuroscience