Interpretable and reliable artificial intelligence systems for brain diseases

Olivier Colliot 1
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
SU - Sorbonne Université, Inria de Paris, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
Abstract : In artificial intelligence for medicine, more interpretable and reliable systems are needed. Here, we report on recent advances toward these aims in the field of brain diseases.
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https://hal.inria.fr/hal-02178901
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Submitted on : Wednesday, July 10, 2019 - 2:29:46 PM
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Olivier Colliot. Interpretable and reliable artificial intelligence systems for brain diseases. ERCIM News, ERCIM, 2019, 118. ⟨hal-02178901⟩

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