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ICA-based denoising for ASL perfusion imaging., , , , , , , and . NeuroImage, (2019)Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease., , , , , , , , and . NeuroImage, (2016)Resting-state fMRI in the Human Connectome Project., , , , , , , , , and 15 other author(s). NeuroImage, (2013)Comparison between skeleton-based and atlas-based approach in the assessment of corpus callosum damages in Mild Cognitive Impairment and Alzheimer Disease., , , , , , and . EMBC, page 7808-7811. IEEE, (2011)Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers., , , , , and . NeuroImage, (2014)Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (2021)Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults., , , , , , , , , and 4 other author(s). NeuroImage, (2018)Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord., , , , , , and . Biomed. Signal Proc. and Control, 7 (3): 285-294 (2012)Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI., , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 279-286. (2016)Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding., , , , , , , , and . NeuroImage, (2019)