Argitalpenak (118) FRANCISCO JESÚS MARTÍNEZ MURCIA argitalpenak

2024

  1. 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)

  2. 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)

  3. Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning

    International Journal of Neural Systems, Vol. 34, Núm. 8

  4. Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants with Genetic Frontotemporal Dementia

    Neurology, Vol. 103, Núm. 8

  6. 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)

  7. Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis

    Interdisciplinary Sciences - Computational Life Sciences, Vol. 16, Núm. 4, pp. 1005-1018

2023

  1. An exploratory analysis of lung cancer survival using NGS genetic predictors and partial least squares.

    Journal of Clinical Oncology, Vol. 41, Núm. 16_suppl, pp. e21007-e21007

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

    Pharmacological Research, Vol. 197

  3. Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

    International Journal of Neural Systems, Vol. 33, Núm. 4

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

    Information Fusion, Vol. 100

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

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

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

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

  7. 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. Capacity Estimation from Environmental Audio Signals Using Deep Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

    Knowledge-Based Systems, Vol. 240

  3. Frequency and Longitudinal Course of Motor Signs in Genetic Frontotemporal Dementia

    Neurology, Vol. 99, Núm. 10, pp. E1032-E1044

  4. Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images

    Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 104-113

  5. 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)

  6. 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