Multimodal assessment of Parkinson's disease: a deep learning approach

Journal article
(Original article)


Publication Details

Author(s): Vasquez Correa J, Arias Vergara T, Rafael Orozco-Arroyave J, Eskofier B, Klucken J, Nöth E
Journal: IEEE Journal of Biomedical and Health Informatics
Publication year: 2018
ISSN: 2168-2194


FAU Authors / FAU Editors

Arias Vergara, Tomas
Professur für Informatik (Mustererkennung)
Eskofier, Björn Prof. Dr.
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Klucken, Jochen Prof. Dr.
Molekular-Neurologische Abteilung in der Neurologischen Klinik
Nöth, Elmar Prof. Dr.-Ing.
Professur für Informatik (Mustererkennung)
Vasquez Correa, Juan
Professur für Informatik (Mustererkennung)


External institutions with authors

Universidad de Antioquía (UDEA)


How to cite

APA:
Vasquez Correa, J., Arias Vergara, T., Rafael Orozco-Arroyave, J., Eskofier, B., Klucken, J., & Nöth, E. (2018). Multimodal assessment of Parkinson's disease: a deep learning approach. IEEE Journal of Biomedical and Health Informatics. https://dx.doi.org/10.1109/JBHI.2018.2866873

MLA:
Vasquez Correa, Juan, et al. "Multimodal assessment of Parkinson's disease: a deep learning approach." IEEE Journal of Biomedical and Health Informatics (2018).

BibTeX: 

Last updated on 2019-06-01 at 15:10