JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
Argitalpenak (374) JAVIER RAMÍREZ PÉREZ DE INESTROSA argitalpenak
2023
-
A non-parametric statistical inference framework for Deep Learning in current neuroimaging
Information Fusion, Vol. 91, pp. 598-611
-
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
-
Connected system for monitoring electrical power transformers using thermal imaging
Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368
-
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
-
High-speed videomicroscopy of sheared carbonyl iron suspensions
Smart Materials and Structures, Vol. 32, Núm. 2
-
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
-
Statistical significance maps based on machine learning. On the use of data-dependent upper bounds
Proceedings - 2023 8th International Conference on Information and Network Technologies, ICINT 2023
-
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
-
A Connection between Pattern Classification by Machine Learning and Statistical Inference with the General Linear Model
IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 11, pp. 5332-5343
-
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Computers in Biology and Medicine, Vol. 149
-
Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
-
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)
-
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)