Malte Hoffmann is a faculty member in Radiology at Harvard Medical School and affiliated faculty in
the Health Sciences and Technology Division at MIT. He received a Bachelor’s degree in physics from
the University of Paris XI, and a Master’s degree and PhD from the University of Cambridge, where
he specialized in correcting subject motion in brain magnetic resonance imaging (MRI).

Dr. Hoffmann’s research focuses on algorithms for medical image analysis using artificial
intelligence (AI). It spans innovations in deep learning, computer vision, and MRI acquisition. He
is particularly interested in segmentation and registration: segmentation involves delineating
structures in an image, while registration spatially aligns images to one another. Ultimately, he
is passionate about leveraging these techniques to advance clinically impactful applications.

Education

PhD in MRI Physics, University of Cambridge

Select Publications

1. Hoffmann M, Billot B, Greve DN, Iglesias JE, Fischl B, Dalca AV. SynthMorph: learning contrast-invariant registration without acquired images. IEEE Transactions on Medical Imaging (TMI). 2022;41(3):543-58.

2. Hoopes A, Mora JS, Dalca AV, Fischl B*, Hoffmann M* (*equal contribution). SynthStrip: skull-stripping for any brain image. NeuroImage. 2022;260:119474.

3. Hoopes A, Hoffmann M, Fischl B, Guttag J, Dalca AV. Learning the Effect of Registration Hyperparameters with HyperMorph. Journal of Machine Learning for Biomedical Imaging (MELBA). 2022;IPMI 2021 Special Issue:1-30.

Highlights

2020, 2021 ISMRM Summa Cum Laude Merit Awards for top 5% abstract

2020 NIH K99/R00 Pathway to Independence Award

2019 ISMRM Detection & Correction of Motion in MRI & MRS Study Group Award

Associated Lab

Laboratory for Computational Neuroimaging

Websites

Malte Hoffmann

Laboratory for Computational Neuroimaging