Cruciani, F https://orcid.org/0000-0001-7258-1463
Brusini, L https://orcid.org/0000-0001-5357-5180
Zucchelli, M https://orcid.org/0000-0002-7109-2884
Retuci Pinheiro, G https://orcid.org/0000-0001-8627-9468
Setti, F
Boscolo Galazzo, I https://orcid.org/0000-0002-4153-3749
Deriche, R https://orcid.org/0000-0002-4643-8417
Rittner, L https://orcid.org/0000-0001-8182-5554
Calabrese, M https://orcid.org/0000-0002-3362-7403
Menegaz, G https://orcid.org/0000-0002-6889-3461
Funding for this research was provided by:
Agence Nationale de la Recherche (ANR-19-P3IA-0002)
H2020 European Research Council (694665)
Article Title: Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis
Journal Title: Journal of Neural Engineering
Article Type: paper
Copyright Information: © 2021 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2021-03-09
Date Accepted: 2021-06-28
Online publication date: 2021-07-19