TY  - GEN 
AU  - Martínez Murcia, Francisco Jesús
AU  - Ortiz, Andrés
AU  - Gorriz Sáez, Juan Manuel
AU  - Ramírez Pérez De Inestrosa, Javier
AU  - Castillo Barnes, Diego
PY  - 2019
UR  - https://hdl.handle.net/10481/96329
AB  - Many classical machine learning techniques have been used to explore Alzheimer's disease (AD), evolving from image decomposition techniques such as principal component analysis toward higher complexity, non-linear decomposition algorithms. With the...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers (IEEE)
KW  - Alzheimer’s disease
KW  - Deep learning
KW  - Convolutional autoencoder
TI  - Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
DO  - 10.1109/JBHI.2019.2914970
ER  -