Interpretable and integrative deep learning for discovering brain-behaviour associations
Copyright policy )Interpretable and integrative deep learning for discovering brain-behaviour associations
This record contains the code of the paper "Interpretable and integrative deep learning for discovering brain-behaviour associations". In this paper, we employ a digital avatar procedure as an interpretability module capable of reporting the relationships learned within a multi-view variational autoencoder. We integrate this procedure into a novel framework that utilises stability selection to identify meaningful and reproducible associations between brain imaging and behaviour.
Intégration de données, Male, Adult, Apprentissage profond, Science, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, [INFO] Computer Science [cs], Article, Deep Learning, Psychiatrie transdiagnostique, Associations cerveau-comportement, Humans, Autoencodeurs variationnels multi-vue, Transdiagnostic psychiatry, Sélection par stabilité, Mental Disorders, Reproducible neuroscience, Q, R, Brain, Deep learning, Magnetic Resonance Imaging, Neuroscience reproductible, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Brain-behavior associations, Multi-view variational autoencoders, Medicine, Data integration, Female, Stability selection
Intégration de données, Male, Adult, Apprentissage profond, Science, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, [INFO] Computer Science [cs], Article, Deep Learning, Psychiatrie transdiagnostique, Associations cerveau-comportement, Humans, Autoencodeurs variationnels multi-vue, Transdiagnostic psychiatry, Sélection par stabilité, Mental Disorders, Reproducible neuroscience, Q, R, Brain, Deep learning, Magnetic Resonance Imaging, Neuroscience reproductible, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Brain-behavior associations, Multi-view variational autoencoders, Medicine, Data integration, Female, Stability selection
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