Author(s): Sokolowski A; Bhagwat N; Chatelain Y; Dugré M; Hanganu A; Monchi O; McPherson B; Wang M; Poline JB; Sharp M; Glatard T; ...

Context: An existing major challenge in Parkinson's disease (PD) research is the identification of biomarkers of disease progression. While magnetic resonance imaging is a potential source of P ...

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Author(s): Gonzalez Pepe I; Chatelain Y; Kiar G; Glatard T;

Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many problems. Originally applied to computer vision tasks, CNNs work well with any ...

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Author(s): Kiar G; Chatelain Y; de Oliveira Castro P; Petit E; Rokem A; Varoquaux G; Misic B; Evans AC; Glatard T; ...

The analysis of brain-imaging data requires complex processing pipelines to support findings on brain function or pathologies. Recent work has shown that variability in analytical decisions, small ...

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