Contents of feature_vectors.mat

MSD_controls
MSD_patients
VV_controls 
VV_patients

Which correspond to the features described in 
http://www.ehu.es/ccwintco/uploads/3/38/GIC-UPV-EHU-RR-2010-10-14.pdf

These features have been used in a number of works of the research group.  Please acknowledge its use by referring to 

Darya Chyzhyk, Alexandre Savio,  Feature extraction from structural MRI images based on VBM: data from OASIS database, Research Report GIC-UPV-EHU-RR-2010-10-14
A. Savio, M. Garca-Sebastin, M. Graa, and J. Villana. Results of an adaboost approach on alzheimer's disease detection on mri. Bioinspired applications in Arti_cial and Natural Computation. J. Mira, J. M. Ferrandez, J.R. Alvarez, F. dela Paz, F.J. Tolede (Eds.) LNCS 5602, pages 114_123, 2009.
A. Savio, M. Garca-Sebastin, C. Hernndez, M. Graa, and J. Villana. Classification results of arti_cial neural networks for alzheimer's disease detection. Intelligent Data Engineering and Automated Learning- IDEAL 2009, Emilio Corchado, Hujun Yin (eds) LNCS 5788, pages 641_648, 2009.
M. Garca-Sebastin, A. Savio, M. Graa, and J. Villana. On the use of morphometry based features for alzheimer's disease detection on MRI. Bio-Inspired Systems: Computational and Ambient Intelligence. / IWANN 2009 (Part I) Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan M. Corchado (Editors), LNCS 5517, pages 957_964, 2009.
