This paper is in the following e-collection/theme issue:

Artificial Intelligence (1189) New Methods (902) Imaging Informatics (182) Telehealth and Telemonitoring (1557)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21037, first published .
Automated Computer Vision Assessment of Hypomimia in Parkinson Disease: Proof-of-Principle Pilot Study

Automated Computer Vision Assessment of Hypomimia in Parkinson Disease: Proof-of-Principle Pilot Study

Automated Computer Vision Assessment of Hypomimia in Parkinson Disease: Proof-of-Principle Pilot Study

Authors of this article:

Avner Abrami1 Author Orcid Image ;   Steven Gunzler2 Author Orcid Image ;   Camilla Kilbane2 Author Orcid Image ;   Rachel Ostrand1 Author Orcid Image ;   Bryan Ho3 Author Orcid Image ;   Guillermo Cecchi1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

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  2. Xu Z, Shen B, Tang Y, Wu J, Wang J. Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care. Phenomics 2022;2(5):349 View
  3. Birnbaum M, Abrami A, Heisig S, Ali A, Arenare E, Agurto C, Lu N, Kane J, Cecchi G. Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development. JMIR Mental Health 2022;9(1):e24699 View
  4. Skibińska J, Hosek J. Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease. Heliyon 2023;9(11):e21175 View
  5. Skaramagkas V, Pentari A, Kefalopoulou Z, Tsiknakis M. Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:2399 View
  6. Sarang S, Sonawane B, Sharma P, Yeradkar R. To study the effect of a newly developed emotion detection and grading system software for identifying and grading expressions of patients with Parkinson’s disease. Multimedia Tools and Applications 2023 View
  7. Conelea C, Liang H, DuBois M, Raab B, Kellman M, Wellen B, Jacob S, Wang S, Sun J, Lim K. Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques. Movement Disorders 2024;39(1):183 View
  8. Bianchini E, Rinaldi D, Alborghetti M, Simonelli M, D’Audino F, Onelli C, Pegolo E, Pontieri F. The Story behind the Mask: A Narrative Review on Hypomimia in Parkinson’s Disease. Brain Sciences 2024;14(1):109 View
  9. Huang W, Xu W, Wan R, Zhang P, Zha Y, Pang M. Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions. IEEE Journal of Biomedical and Health Informatics 2024;28(5):2547 View