Publicaciones en las que colabora con JAVIER RAMÍREZ PÉREZ DE INESTROSA (89)

2023

  1. Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

    Pharmacological Research, Vol. 197

  2. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  3. Connected system for monitoring electrical power transformers using thermal imaging

    Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368

  4. Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data

    International Journal of Neural Systems, Vol. 33, Núm. 8

  5. 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

  1. 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)

  2. 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

  3. Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images

    International Journal of Neural Systems, Vol. 32, Núm. 5

  4. 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)

  5. 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)

  6. Uncertainty-driven ensembles of multi-scale deep architectures for image classification

    Information Fusion, Vol. 89, pp. 53-65

2021

  1. Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

    Neurocomputing, Vol. 452, pp. 424-434

  2. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

2020

  1. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

    Information Fusion, Vol. 64, pp. 149-187

  2. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

  3. Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

    Information Fusion, Vol. 58, pp. 153-167

  4. EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

    International Journal of Neural Systems, Vol. 30, Núm. 7

  5. Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

  6. Expectation–Maximization algorithm for finite mixture of α-stable distributions

    Neurocomputing, Vol. 413, pp. 210-216

  7. Granger causality-based information fusion applied to electrical measurements from power transformers

    Information Fusion, Vol. 57, pp. 59-70