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BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods., , , , , , , , , and 19 other author(s). PLoS Comput. Biol., (2017)Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction., , , , , , , and . NeuroImage, (2019)Investigations into within- and between-subject resting-state amplitude variations., , , , , and . NeuroImage, (2017)Automated detection of cerebral microbleeds on MR images using knowledge distillation framework., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (March 2023)Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank., , , , , , , , , and 11 other author(s). NeuroImage, (2018)Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference., , , , , , , and . NeuroImage, (2019)Hand classification of fMRI ICA noise components., , , , , , , , , and 2 other author(s). NeuroImage, (2017)ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , and . CoRR, (2021)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)Confound modelling in UK Biobank brain imaging., , , , , , , and . NeuroImage, (2021)