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A comparison of MR based segmentation methods for measuring brain atrophy progression., , , , , and . NeuroImage, 54 (2): 760-768 (2011)Myelin water imaging from multi-echo T2 MR relaxometry data using a joint sparsity constraint., , , , , , and . NeuroImage, (2020)Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI., , , , , , , and . CoRR, (2023)Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform., , , , , , and . NeuroImage, 59 (3): 2266-2273 (2012)ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978421. SPIE, (2016)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). CoRR, (2019)Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform., , , , and . ISBI, page 758-761. IEEE, (2011)Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting., , , , , , and . NeuroImage, (2022)MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , and 20 other author(s). Comput. Intell. Neurosci., (2015)