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

Vasquez Correa J, Arias Vergara T, Orozco-Arroyave JR, Eskofier B, Klucken J, Nöth E (2018)

Publication Type: Journal article, Original article

Publication year: 2018

Journal

IEEE Journal of Biomedical and Health Informatics Institute of Electrical and Electronics Engineers (IEEE)

URI: https://ieeexplore.ieee.org/document/8444654

DOI: 10.1109/JBHI.2018.2866873

Authors with CRIS profile

Juan Vasquez Correa Professur für Informatik (Mustererkennung) Tomás Arias Vergara Professur für Informatik (Mustererkennung) Björn Eskofier Jochen Klucken Department of Molecular Neurology Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO)

How to cite

APA:

Vasquez Correa, J., Arias Vergara, T., Orozco-Arroyave, J.R., 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://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).

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