Comparison of One- Two- and Three- Dimensional CNN models for Drawing-Test-Based Diagnostics of the Parkinson's Disease

25 September 2023

Papers citing "Comparison of One- Two- and Three- Dimensional CNN models for Drawing-Test-Based Diagnostics of the Parkinson's Disease"

5 / 5 papers shown

Title
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease P. Drotár Jirí Mekyska I. Rektorová L. Masarová Z. Smékal Marcos Faúndez-Zanuy OOD 75 283 0 05 Nov 2024
Dynamically enhanced static handwriting representation for Parkinson's disease detection Moisés Díaz M. A. Ferrer-Ballester D. Impedovo G. Pirlo G. Vessio 48 86 0 22 May 2024
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs Moisés Díaz Momina Moetesum Imran Siddiqi G. Vessio 52 78 0 23 Jan 2021
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features C. D. Ríos-Urrego Juan Camilo Vásquez-Correa J. Vargas-Bonilla Elmar Nöth F. Lopera J. Orozco-Arroyave 51 68 0 13 Feb 2020
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration S. Miao Sebastien Piat P. Fischer A. Tuysuzoglu P. Mewes Tommaso Mansi Rui Liao MedIm 62 101 0 22 Nov 2017