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Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics, , , , , , , , , and . bioRxiv, (2018)Infrared oculography - validation of a new method to monitor startle eyeblink amplitudes during fMRI., , , and . NeuroImage, 22 (2): 767-770 (2004)Estimating the apparent transverse relaxation time (R2) from images with different contrasts (ESTATICS) reduces motion artifacts, , , , and . Frontiers in Neuroscience, (September 2014)Advances in MRI-based computational neuroanatomy, , , and . Current Opinion in Neurology, 28 (4): 313--322 (August 2015)Optimizing Data for Modeling Neuronal Responses, , , , , and . Frontiers in Neuroscience, (January 2019)Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI., , , , , , , , and . NeuroImage, (November 2013)Motor phenotype and magnetic resonance measures of basal ganglia iron levels in Parkinson's disease, , , , , , , and . Parkinsonism &amp$\mathsemicolon$ Related Disorders, 19 (12): 1136--1142 (December 2013)High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing, , , , , and . Frontiers in Neuroscience, (January 2015)Using High Angular Resolution Diffusion Imaging Data to Discriminate Cortical Regions, , , , and . PLOS ONE, 8 (5): 1-9 (May 2013)Decoding representations of scenes in the medial temporal lobes, , , , , and . Hippocampus, 22 (5): 1143--1153 (June 2011)