Juan Eloy Arco Martin
Categoría
Doctor - OtrosContacto
jearco@ic.6hP0.@CKwKQ1uma.es
Organismo
UMA
Researcher Profile
| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 691 | Desde 2019: 640 |
| Índice H | Total: 14 | Desde 2019: 13 |
| Índice i10 | Total: 16 | Desde 2019: 16 |
Publicaciones (44)
| Título | Autores | Año |
|---|---|---|
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders | JE Arco, NJ Gallego-Molina, PJ López-Pérez, J Ramírez, JM Górriz, .... | 2024 |
| A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease | C Vázquez-García, FJ Martinez-Murcia, JE Arco, IA Illán, C Jiménez-Mesa, .... | 2024 |
| A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis | NJ Gallego-Molina, A Ortiz, JE Arco, FJ Martinez-Murcia, WL Woo. | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Using Explainable Artificial Intelligence in the Clock Drawing Test to reveal the cognitive impairment pattern | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2023 |
| Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression | JE Arco, A Ortiz, D Castillo-Barnes, JM Górriz, J Ramírez, .... | 2023 |
| Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism | JE Arco, A Ortiz, NJ Gallego-Molina, JM Gorriz, J Ramirez. | 2023 |
| Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2023 |
| Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. | JE Arco, A Ortiz, NJ Gallego-Molina, JM Gorriz, J Ramirez. | 2023 |
| Non-linear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends | JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, .... | 2023 |
| Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review | D Velazquez-Diaz, JE Arco, A Ortiz, V Pérez-Cabezas, D Lucena-Anton, .... | 2023 |
| Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects | C Jimenez-Mesa, JE Arco, FJ Martinez-Murcia, J Suckling, J Ramirez, .... | 2023 |
| Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern. | C Jiménez-Mesa, JE Arco, M Valentí-Soler, B Frades-Payo, .... | 2023 |
| Identifying HRV patterns in ECG signals as early markers of dementia | JE Arco, NJ Gallego-Molina, A Ortiz, K Arroyo-Alvis, PJ López-Pérez. | 2023 |
| Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning | A Ortiz, JE Arco, MA Formoso, NJ Gallego-Molina, I Rodríguez-Rodríguez, .... | 2022 |
| Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test | C Jiménez-Mesa, JE Arco, M Valentí-Soler, B Frades-Payo, .... | 2022 |
| Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks | JE Arco, A Ortiz, D Castillo-Barnes, JM Górriz, J Ramírez. | 2022 |
| Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease | D Castillo-Barnes, JE Arco, C Jimenez-Mesa, J Ramirez, JM Górriz, .... | 2022 |
| CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources | D Castillo-Barnes, J Merino-Chica, R Garcia-Diaz, C Jimenez-Mesa, .... | 2022 |
| Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease | C Jimenez-Mesa, D Castillo-Barnes, JE Arco, F Segovia, J Ramirez, .... | 2022 |
| Uncertainty-driven ensembles of multi-scale deep architectures for image classification | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, JM Górriz. | 2022 |
| Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, J Broncano, .... | 2022 |
| Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease | D Castillo-Barnes, R Garcia-Diaz, J Merino-Chica, F Segovia, .... | 2022 |
| Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images | JE Arco, A Ortiz, J Ramírez, JM Gorriz. | 2021 |
| Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, J Broncano, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease | JE Arco, J Ramírez, JM Górriz, M Ruz, .... | 2021 |
| Tiled Sparse Coding in Eigenspaces for Image Classification | JE Arco, A Ortiz, J Ramírez, YD Zhang, JM Górriz. | 2021 |
| Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data | R Alizadehsani, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, JM Gorriz, .... | 2021 |
| Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images | JE Arco, A Ortiz, J Ramirez, FJ Martínez-Murcia, YD Zhang, JM Górriz. | 2020 |
| Neural representation of current and intended task sets during sequential judgements on human faces | P Díaz-Gutiérrez, SJ Gilbert, JE Arco, A Sobrado, M Ruz. | 2020 |
| Neural representations of social valence bias economic interpersonal choices | P Díaz-Gutiérrez, JE Arco, S Alguacil, C González-García, M Ruz. | 2020 |
| Representational Organization of Novel Task Sets during Proactive Encoding (vol 521, pg 8386, 2019) | AF Palenciano, C Gonzalez-Garcia, JE Arco, L Pessoa, M Ruz. | 2020 |
| " Representational organization of novel task sets during proactive encoding": Erratum. | AF Palenciano, C González-García, JE Arco, L Pessoa, M Ruz. | 2020 |
| Transient and sustained control mechanisms supporting novel instructed behavior | AF Palenciano, C González-García, JE Arco, M Ruz. | 2019 |
| Representational organization of novel task sets during proactive encoding | AF Palenciano, C González-García, JE Arco, L Pessoa, M Ruz. | 2019 |
| Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis | JE Arco, C González-García, P Díaz-Gutiérrez, J Ramírez, M Ruz. | 2018 |
| Classification in fMRI studies: in search of brain informative regions. | JE Arco, P Diaz-Gutierrez, J Ramírez, M Ruz. | 2018 |
| Atlas-based classification algorithms for identification of informative brain regions in fMRI data | JE Arco, P Díaz-Gutiérrez, J Ramírez, M Ruz. | 2018 |
| Neural representation of social expectations during interpersonal decisions | P Díaz-Gutiérrez, JE Arco, S Alguacil, C González-García, M Ruz. | 2018 |
| Encoding, preparation and implementation of novel complex verbal instructions | C González-García, JE Arco, AF Palenciano, J Ramírez, M Ruz. | 2017 |
| Short-term prediction of MCI to AD conversion based on longitudinal MRI analysis and neuropsychological tests | JE Arco, J Ramírez, JM Górriz, CG Puntonet, M Ruz. | 2016 |
| Improving short-term prediction from MCI to AD by applying searchlight analysis | JE Arco, J Ramírez, CG Puntonet, JM Górriz, M Ruz. | 2016 |
| Digital image analysis for automatic enumeration of malaria parasites using morphological operations | JE Arco, JM Górriz, J Ramírez, I Álvarez, CG Puntonet. | 2015 |
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