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Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.

, , , , , , and . Artif. Intell. Medicine, (2018)

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A survey on computer-assisted Parkinson's Disease diagnosis., , , , , and . Artif. Intell. Medicine, (2019)A new computer vision-based approach to aid the diagnosis of Parkinson's disease., , , , , , and . Comput. Methods Programs Biomed., (2016)Learning visual representations with optimum-path forest and its applications to Barrett's esophagus and adenocarcinoma diagnosis., , , , , , , , and . Neural Comput. Appl., 32 (3): 759-775 (2020)An Identification of Japanese Numerical Characters on a Biometrical Smart Pen System., , , , and . AutoID, page 232-237. IEEE, (2007)Hierarchical Learning Using Deep Optimum-Path Forest., , , , , and . CoRR, (2021)Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification., , , , , , and . Artif. Intell. Medicine, (2018)Hierarchical learning using deep optimum-path forest., , , , , and . J. Vis. Commun. Image Represent., (2020)A Novel Digitizing Pen for the Analysis of Pen Pressure and Inclination in Handwriting Biometrics., , and . ECCV Workshop BioAW, volume 3087 of Lecture Notes in Computer Science, page 283-294. Springer, (2004)Parkinson's Disease Identification Using Restricted Boltzmann Machines., , , , , and . CAIP (2), volume 10425 of Lecture Notes in Computer Science, page 70-80. Springer, (2017)Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest., , , , , , and . SACI, page 325-330. IEEE, (2018)