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Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data., and . CoRR, (2018)Bayesian multi-task learning for decoding multi-subject neuroimaging data., , , and . NeuroImage, (2014)A Bayesian spatial model for neuroimaging data based on biologically informed basis functions., , , , , , and . NeuroImage, (2017)Warped Bayesian linear regression for normative modelling of big data., , , and . NeuroImage, (2021)SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging., , , , , , , , and . IEEE Trans. Med. Imaging, 33 (1): 85-98 (2014)Connectopic mapping with resting-state fMRI., , and . NeuroImage, (2018)Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach., , , , , , , and . NeuroImage, 60 (2): 1015-1024 (2012)Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data., and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 297-314. PMLR, (2019)Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging"., , , , , , , , and . IEEE Trans. Med. Imaging, 33 (3): 794 (2014)Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach., , , , , , , , and . NeuroImage, 49 (1): 44-56 (2010)