DITEC - TECNICAS DIGITALES
DITEC - TECNICAS DIGITALES
JUAN ELOY
ARCO MARTÍN
CONTRATADO DE INVESTIGACIÓN POSTDOCTORAL
Publicacions en què col·labora amb JUAN ELOY ARCO MARTÍN (24)
2024
-
Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning
International Journal of Neural Systems
2023
-
Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
Pharmacological Research, Vol. 197
-
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
-
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
International Journal of Neural Systems, Vol. 33, Núm. 4
-
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
Applied Soft Computing, Vol. 134
-
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data
International Journal of Neural Systems, Vol. 33, Núm. 8
-
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441
-
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
International Journal of Neural Systems, Vol. 33, Núm. 4
2022
-
Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson's Disease
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
-
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Tiled Sparse Coding in Eigenspaces for Image Classification
International Journal of Neural Systems, Vol. 32, Núm. 3
-
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Information Fusion, Vol. 89, pp. 53-65
2021
-
Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease
Expert Systems with Applications, Vol. 185
2020
-
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data
Neuroinformatics, Vol. 18, Núm. 2, pp. 219-236
2018
-
Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis
Journal of Neuroscience Methods, Vol. 308, pp. 248-260