J
Juan Manuel Górriz
Researcher at University of Granada
Publications - 403
Citations - 8595
Juan Manuel Górriz is an academic researcher from University of Granada. The author has contributed to research in topics: Support vector machine & Computer science. The author has an hindex of 43, co-authored 360 publications receiving 6429 citations. Previous affiliations of Juan Manuel Górriz include University of Cádiz & University of Cambridge.
Papers
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Journal ArticleDOI
A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database
Fermín Segovia,Juan Manuel Górriz,Javier Ramírez,Diego Salas-Gonzalez,I. Álvarez,M. López,R. Chaves +6 more
TL;DR: Two multivariate approaches that use different methodologies to relieve the small sample size problem are compared and the validity of both methods is tested by implementing several CAD systems with linear and nonlinear classifiers and comparing them with previous approaches such as VAF and PCA.
Journal ArticleDOI
Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images
TL;DR: In this paper, the authors compared two alternative versions of the Gauss-Newton method with an additional parameter, which allows the adaptive change of the step length along the descent direction.
Journal ArticleDOI
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi,Delaram Sadeghi,Parisa Moridian,Navid Ghassemi,Jónathan Heras,Roohallah Alizadehsani,Ali Khadem,Yinan Kong,Saeid Nahavandi,Yudong Zhang,Juan Manuel Górriz +10 more
TL;DR: In this paper, the authors provided various intelligent deep learning (DL)-based methods for automated SZ diagnosis via electroencephalography (EEG) signals and compared the obtained results with those of conventional intelligent methods.
Journal ArticleDOI
A seven-layer convolutional neural network for chest CT based COVID-19 diagnosis using stochastic pooling
TL;DR: A novel seven layer convolutional neural network based smart diagnosis model for COVID-19 diagnosis (7L-CNN-CD) is proposed, a 14-way data augmentation to enhance the training set, and stochastic pooling to replace traditional pooling methods are introduced.
Proceedings ArticleDOI
Automatic computer aided diagnosis tool using component-based SVM
Juan Manuel Górriz,Javier Ramírez,Andreas Lassl,Diego Salas-Gonzalez,Elmar Lang,Carlos G. Puntonet,I. Álvarez,Miriam Romero López,Manuel Gómez-Río +8 more
TL;DR: This paper shows a fully automatic computer-aided diagnosis (CAD) system for improving the accuracy in the early diagnosis of the Alzheimer's disease based on a first automatic feature selection, and secondly a combination of component-based support vector machine (SVM) classification and a pasting votes technique of ensemble SVM classifiers.