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Porting a neuro-imaging application to a CPU-GPU cluster., , , , , and . HPCS, page 137-145. IEEE, (2014)Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps., , , , , , and . BIOSIGNALS, page 254-263. SciTePress, (2012)PHYCAA +: An optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI., and . NeuroImage, (2013)Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity., and . J. Open Source Softw., 2 (17): 382 (2017)Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness., , , , , and . IEEE Signal Process. Mag., 39 (4): 8-24 (2022)FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research., , , , , , , , , and 11 other author(s). Frontiers Neuroinformatics, (March 2023)The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework., , , , , , , , , and . NeuroImage, 15 (4): 747-771 (2002)Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs., , , , , , , , , and 11 other author(s). Neuroinformatics, 19 (4): 597-618 (2021)Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity., , , , , , , , , and 25 other author(s). Int. J. Biomed. Imaging, (2022)Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets., , and . NeuroImage, (2014)