Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders

no code implementations • 11 May 2023 • E. Delgado de las Heras, F. J. Martinez-Murcia, I. A. Illán, C. Jiménez-Mesa, D. Castillo-Barnes, J. Ramírez, J. M. Górriz

This work proposes the use of 3D convolutional variational autoencoders (CVAEs) to trace the changes and symptomatology produced by neurodegeneration in Parkinson's disease (PD).

Representation Learning