Recent Publications

• Fani A, Doan M, Le I, Fedorov A, Hoffmann M, Rorden C, Plis S. MindGrab: A spectrally-motivated architecture for accessible deep learning in neuroimaging. Neuroimage. 2026 Sep. 338:122074
• Mauri C, McKenzie A, Analoro C, Yeon E, Coviello R, Mora J, Chollet E, Binder LD, Mahar A, Lin S, Benlahcen M, Ream A, Jama A, Garcia I, Tran N, Onta P, Wood S, Willis A, Mahmood A, Sinoballa G, Malki A, Tran K, Malireddy V, Onumajuru N, Lakshmanan S, Landaverde KH, Sidow R, Wood D, Nguyen B, Hernandez J, Bernier M, Hunter J, Malki A, Tum A, Chavez V, Shahu Z, Vasi I, Visser A, Ghaouta Z, Bond F, Vigneshwaran R, Kirkpatrick E, Barbosa MA, Rauh K, Herisse R, Pallares EG, Zeng X, Varadarajan D, Wang H, Magnain C, Edlow BL, Hoffmann M, Fischl B, Balbastre Y. VesSynth: Tubes Are All You Need for Robust Cross-Scale Cross-Modal 3D Vessel Segmentation. bioRxiv. 2026 Apr 05.
• Hoffmann M, Zöllei L, Dalca AV. Deep infant brain segmentation from multi-contrast MRI. Conf Rec Asilomar Conf Signals Syst Comput. 2025 Oct. 2025:974-981
• Abulnaga SM, Hoopes A, Hoffmann M, Magnet R, Ovsjanikov M, Zöllei L, Guttag J, Fischl B, Dalca AV. Unified Brain Surface and Volume Registration. Int Conf Learn Represent. 2026. 2026:132177-132193
• Hoffmann M. Domain-Randomized Deep Learning for Neuroimage Analysis: Selecting Training Strategies, Navigating Challenges, and Maximizing Benefits. IEEE Signal Process Mag. 2025 Jul. 42(4):78-90