Pablo Padilla

TL;DR: An electronically reconfigurable transmitarray device at 12 GHz is presented in this work and the proposed reconfigurability to the transmitarray structure is examined.

TL;DR: A novel computer-aided diagnosis technique for the early diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) with bounds of confidence with up to 91% classification accuracy with high sensitivity and specificity rates.

TL;DR: A complete computer aided diagnosis (CAD) system for an automatic evaluation of the neuroimages is presented and principal component analysis (PCA)-based methods are proposed as feature extraction techniques, enhanced by other linear approaches such as linear discriminant analysis (LDA) or the measure of the Fisher discriminant ratio (FDR) for feature selection.

TL;DR: This letter shows a computer aided diagnosis technique for the early detection of the Alzheimer's disease (AD) by means of single photon emission computed tomography (SPECT) image classification based on partial least squares (PLS) regression model and a random forest (RF) predictor.

TL;DR: Results are compared to the voxel-as-features and a PCA- based approach and the proposed methodology achieves better classification performance.