Distinguishing Patients With a Coordination Disorder From Healthy Controls Using Local Features of Movement Trajectories During the Finger-to-Nose Test. - Venustiano Soancatl-Aguilar; Octavio Martinez Manzanera; Deborah A. Sival; Natasha M. Maurits; Jos B. T. M. Roerdink (IEEE Trans. Biomed. Eng., 2019)

2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (Sensors, 2022)

Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (BHI, 2023)

Instrumented Gait Classification Using Meaningful Features in Patients with Impaired Coordination. - Zeus T. Dominguez-Vega; Mariano Bernaldo de Quirós; Jan Willem J. Elting; Deborah A. Sival; Natasha M. Maurits (Sensors, 2023)

Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review. - Wei Tang 014; Peter M. A. van Ooijen; Deborah A. Sival; Natasha M. Maurits (Artif. Intell. Medicine, 2024)