| Ensembles of deep learning architectures for the early diagnosis of the Alzheimer’s disease A Ortiz, J Munilla, JM Gorriz, J Ramirez International journal of neural systems 26 (07), 1650025, 2016 | 290 | 2016 |
| Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps E De la Hoz, E De La Hoz, A Ortiz, J Ortega, A Martínez-Álvarez Knowledge-Based Systems 71, 322-338, 2014 | 170 | 2014 |
| PCA filtering and probabilistic SOM for network intrusion detection E De la Hoz, E De La Hoz, A Ortiz, J Ortega, B Prieto Neurocomputing 164, 71-81, 2015 | 165 | 2015 |
| Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies A Ortiz, JM Górriz, J Ramírez, D Salas-Gonzalez, JM Llamas-Elvira Applied Soft Computing 13 (5), 2668-2682, 2013 | 118 | 2013 |
| LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease A Ortiz, JM Górriz, J Ramírez, FJ Martínez-Murcia, ... Pattern Recognition Letters 34 (14), 1725-1733, 2013 | 102 | 2013 |
| Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications JM Górriz, J Ramírez, A Ortíz, FJ Martínez-Murcia, F Segovia, J Suckling, ... Neurocomputing 410, 237-270, 2020 | 92 | 2020 |
| Distance bounding protocols with void-challenges for RFID J Munilla, A Ortiz, A Peinado Printed handout at the Workshop on RFID Security–RFIDSec 6, 2006 | 91 | 2006 |
| Studying the manifold structure of Alzheimer's disease: a deep learning approach using convolutional autoencoders FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes IEEE journal of biomedical and health informatics 24 (1), 17-26, 2019 | 89 | 2019 |
| Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez Information Sciences 262, 117-136, 2014 | 89 | 2014 |
| Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors A Ortiz, AA Palacio, JM Górriz, J Ramírez, D Salas-González Computational and mathematical methods in medicine 2013, 2013 | 72 | 2013 |
| Convolutional neural networks for neuroimaging in parkinson’s disease: is preprocessing needed? FJ Martinez-Murcia, JM Górriz, J Ramírez, A Ortiz International journal of neural systems 28 (10), 1850035, 2018 | 66 | 2018 |
| Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis A Ortiz, J Munilla, I Álvarez-Illán, JM Górriz, J Ramírez, ... Frontiers in computational neuroscience 9, 132, 2015 | 63 | 2015 |
| Application of empirical mode decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson disease A Rojas, JM Górriz, J Ramírez, IA Illán, FJ Martínez-Murcia, A Ortiz, ... Expert Systems with Applications 40 (7), 2756-2766, 2013 | 61 | 2013 |
| Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, A Ortiz, ... Neurocomputing 126, 58-70, 2014 | 54 | 2014 |
| Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares J Ramírez, JM Górriz, A Ortiz, FJ Martínez-Murcia, F Segovia, ... Journal of neuroscience methods 302, 47-57, 2018 | 50 | 2018 |
| Network anomaly classification by support vector classifiers ensemble and non-linear projection techniques E Hoz, A Ortiz, J Ortega, E Hoz International Conference on Hybrid Artificial Intelligence Systems, 103-111, 2013 | 48 | 2013 |
| Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization A Ortiz, JM Gorriz, J Ramírez, D Salas-Gonzalez, ... Neurocomputing 114, 118-131, 2013 | 47 | 2013 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, ... Frontiers in neuroinformatics 13, 48, 2019 | 45 | 2019 |
| Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection D Kimovski, J Ortega, A Ortiz, R Baños Expert Systems with Applications 42 (9), 4239-4252, 2015 | 45 | 2015 |
| Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection J Ortega, J Asensio-Cubero, JQ Gan, A Ortiz BioMedical Engineering OnLine 15 (1), 149-164, 2016 | 39 | 2016 |
Juan Manuel Gorriz SaezFull Professor at University of GranadaDirección de correo verificada de ugr.es
