JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
FRANCISCO JESÚS
MARTÍNEZ MURCIA
PROGRAMA RAMON Y CAJAL
Publicacions en què col·labora amb FRANCISCO JESÚS MARTÍNEZ MURCIA (93)
2024
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A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning
International Journal of Neural Systems, Vol. 34, Núm. 8
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PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
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Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
Pharmacological Research, Vol. 197
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Connected system for monitoring electrical power transformers using thermal imaging
Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368
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Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data
International Journal of Neural Systems, Vol. 33, Núm. 8
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Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441
2022
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Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multilevel Modelling of Parkinson's Disease Symptom Progression in 123I FP-CIT SPECT
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
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Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images
International Journal of Neural Systems, Vol. 32, Núm. 5
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Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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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)
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Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Information Fusion, Vol. 89, pp. 53-65
2021
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Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy
Neurocomputing, Vol. 452, pp. 424-434
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Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
Information Fusion, Vol. 66, pp. 198-212
2020
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Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
Information Fusion, Vol. 64, pp. 149-187
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
Information Fusion, Vol. 58, pp. 153-167