Digital image analysis for automatic enumeration of malaria parasites using morphological operations. - Juan Eloy Arco; Juan Manuel Górriz; Javier Ramírez 001; Ignacio Álvarez; Carlos García Puntonet (Expert Syst. Appl., 2015)

Improving short-term prediction from MCI to AD by applying searchlight analysis. - Juan Eloy Arco; Javier Ramírez 001; Carlos García Puntonet; Juan Manuel Górriz; María Ruz (ISBI, 2016)

Encoding, preparation and implementation of novel complex verbal instructions. - Carlos González-García; Juan Eloy Arco; Ana F. Palenciano; Javier Ramírez 001; María Ruz (NeuroImage, 2017)

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Juan Manuel Górriz (CoRR, 2020)

Neural representation of current and intended task sets during sequential judgements on human faces. - Paloma Díaz-Gutiérrez; Sam J. Gilbert; Juan Eloy Arco; Alberto Sobrado; María Ruz (NeuroImage, 2020)

Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data. - Juan Eloy Arco; Paloma Díaz-Gutiérrez; Javier Ramírez 001; María Ruz (Neuroinformatics, 2020)

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hosseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2021)

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Jordi Broncano; Manuel Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan Manuel Górriz (CoRR, 2021)

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Juan Manuel Górriz (CoRR, 2021)

Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease. - Juan Eloy Arco; Javier Ramírez 001; Juan Manuel Górriz; María Ruz (Expert Syst. Appl., 2021)

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hoseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. - Juan Eloy Arco; Andrés Ortiz 001; Diego Castillo-Barnes; Juan Manuel Górriz; Javier Ramírez 001 (IWINAC (1), 2022)

CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. - Diego Castillo-Barnes; Javier Merino-Chica; R. Garcia-Diaz; Carmen Jimenez-Mesa; Juan Eloy Arco; Javier Ramírez 001; J. M. Górriz (IWINAC (1), 2022)

Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. - Diego Castillo-Barnes; Juan Eloy Arco; Carmen Jimenez-Mesa; Javier Ramírez 001; J. M. Górriz; Diego Salas-Gonzalez (IWINAC (1), 2022)

Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Diego Castillo-Barnes; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (IWINAC (1), 2022)

Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. - Carmen Jimenez-Mesa; Diego Castillo-Barnes; Juan Eloy Arco; Fermín Segovia; Javier Ramírez 001; Juan Manuel Górriz (IWINAC (1), 2022)

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. - Andrés Ortiz 001; Juan Eloy Arco; Marco A. Formoso; Nicolás Gallego-Molina; Ignacio Rodríguez-Rodríguez; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001 (IWINAC (1), 2022)

Tiled Sparse Coding in Eigenspaces for Image Classification. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Yu-Dong Zhang 001; Juan Manuel Górriz (Int. J. Neural Syst., 2022)

Uncertainty-driven ensembles of multi-scale deep architectures for image classification. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yudong Zhang 001; Juan Manuel Górriz (Inf. Fusion, 2023)

Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. - Juan Eloy Arco; Andrés Ortiz 001; Diego Castillo-Barnes; Juan Manuel Górriz; Javier Ramírez 001 (Appl. Soft Comput., 2023)

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. - Juan Eloy Arco; Andrés Ortiz 001; Nicolás Gallego-Molina; Juan Manuel Górriz; Javier Ramírez 001 (Int. J. Neural Syst., 2023)

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Diego Castillo-Barnes; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (Int. J. Neural Syst., 2023)

Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data. - Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Carmen Jimenez-Mesa; Juan Eloy Arco; Diego Salas-Gonzalez; Javier Ramírez 001; J. M. Górriz (Int. J. Neural Syst., 2023)

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Jordi Broncano; Manuel Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan Manuel Górriz (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - J. M. Górriz; I. Álvarez Illán; Agustín Álvarez-Marquina; Juan Eloy Arco; Martin Atzmüller; F. Ballarini; Emilia I. Barakova; Guido Bologna; María Paula Bonomini; Germán Castellanos-Domínguez; Diego Castillo-Barnes; S. B. Cho; et al. (Inf. Fusion, 2023)

Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders. - Juan Eloy Arco; Nicolás Gallego-Molina; Pedro Javier Lopez-Perez; Javier Ramírez 001; Juan Manuel Górriz; Andrés Ortiz 001 (IWINAC, 2024)

A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (IWINAC, 2024)

A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease. - Cristóbal Vázquez-García; Francisco Jesús Martínez-Murcia; Juan Eloy Arco; Ignacio A. Illán; Carmen Jiménez-Mesa; Javier Ramírez 001; Juan Manuel Górriz (IWINAC, 2024)

Identifying HRV patterns in ECG signals as early markers of dementia. - Juan Eloy Arco; Nicolás Gallego-Molina; Andrés Ortiz 001; Katy Arroyo-Alvis; Pedro Javier Lopez-Perez (Expert Syst. Appl., 2024)

Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning. - Francisco Jesús Martínez-Murcia; Juan Eloy Arco; Carmen Jimenez-Mesa; Fermín Segovia; Ignacio Álvarez; Javier Ramírez 001; Juan Manuel Górriz (Int. J. Neural Syst., 2024)