2 papers
physics.med-ph2026
Real-time, inline quantitative MRI enabled by scanner-integrated machine learning: a proof of principle with NODDI
Samuel Rot, Iulius Dragonu, Christina Triantafyllou +11
Purpose: The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to 'research mode', due to resource-intensi…
eess.IV2026
Quality assessment of brain structural MR images: Comparing generalization of deep learning versus hand-crafted feature-based machine learning methods to new sites
Prabhjot Kaur, John S. Thornton, Frederik Barkhof +3
Quality assessment of brain structural MR images is critical for large-scale neuroimaging studies, where motion artifacts can significantly bias clinical estimates. While visual ra…