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Fitting large-scale structured additive regression models using Krylov subspace methods., , and . Comput. Stat. Data Anal., (2017)Power estimation for non-standardized multisite studies., , , , , , , , , and 46 other author(s). NeuroImage, (2016)Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model., , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 448-458. Springer, (2022)An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis., , , , , , , , , and 2 other author(s). NeuroImage, 59 (4): 3774-3783 (2012)Multi-contrast MRI Super-resolution via Implicit Neural Representations., , , , , , , , , and 2 other author(s). CoRR, (2023)An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation., , , , , , and . CoRR, (2022)Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations., , , , , , , , , and 2 other author(s). MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 173-183. Springer, (2023)Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis., , , , , , , , , and 3 other author(s). NeuroImage, (2016)A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis., , , , , , and . NeuroImage, (2021)Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains., , , , , , , , , and 3 other author(s). NeuroImage, (2022)