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 | 416 | 2016 |
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications JM Górriz, J Ramírez, A Ortíz, FJ Martinez-Murcia, F Segovia, J Suckling, ... Neurocomputing 410, 237-270, 2020 | 225 | 2020 |
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 | 212 | 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 | 207 | 2015 |
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 | 197 | 2019 |
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 | 133 | 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 | 115 | 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 | 110 | 2018 |
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 | 106 | 2014 |
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 | 89 | 2019 |
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 | 78 | 2018 |
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 (1), 638563, 2013 | 77 | 2013 |
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 | 76 | 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 | 76 | 2013 |
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy FJ Martinez-Murcia, A Ortiz, J Ramírez, JM Górriz, R Cruz Neurocomputing 452, 424-434, 2021 | 67 | 2021 |
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off J León, JJ Escobar, A Ortiz, J Ortega, J González, P Martín-Smith, JQ Gan, ... Plos one 15 (6), e0234178, 2020 | 64 | 2020 |
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 63 | 2023 |
Network anomaly classification by support vector classifiers ensemble and non-linear projection techniques E De La Hoz, A Ortiz, J Ortega, E De la Hoz Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS …, 2013 | 63 | 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 | 59 | 2014 |
A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease FJ Martinez-Murcia, A Ortiz, JM Górriz, J Ramírez, F Segovia, ... Natural and Artificial Computation for Biomedicine and Neuroscience …, 2017 | 57 | 2017 |