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Fernando Vaquerizo-Villar

Showing results (11-20 of 46) with videos related to

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IEEE Journal of Biomedical and Health Informatics|November 11, 2024
SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea DiagnosisClara Garcia-Vicente, Gonzalo C Gutierrez-Tobal, Fernando Vaquerizo-Villar, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Beyond the ground truth, XGBoost model applied to sleep spindle event detectionEnrique Gurdiel, Fernando Vaquerizo-Villar, Javier Gomez-Pilar, et al.
IEEE Journal of Translational Engineering in Health and Medicine|January 8, 2026
An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel AirflowVeronica Barroso-Garcia, Fernando Vaquerizo-Villar, Gonzalo C Gutierrez-Tobal, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry SignalFernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C Gutiérrez-Tobal, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's diseaseCarlos Gomez, Fernando Vaquerizo-Villar, Jesus Poza, et al.
Pain Medicine (Malden, Mass.)|April 27, 2026
Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraineJavier Gomez-Pilar, Fernando Vaquerizo-Villar, David García-Azorín, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep ApneaGonzalo C Gutiérrez-Tobal, Daniel Álvarez, Fernando Vaquerizo-Villar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apneaFernando Vaquerizo-Villar, Daniel Alvarez, Gonzalo C Gutierrez-Tobal, et al.
Applied Soft Computing|November 15, 2024
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adultsGonzalo C Gutiérrez-Tobal, Daniel Álvarez, Fernando Vaquerizo-Villar, et al.
Computers in Biology and Medicine|September 13, 2023
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apneaFernando Vaquerizo-Villar, Gonzalo C Gutiérrez-Tobal, Eva Calvo, et al.
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
IEEE Journal of Biomedical and Health Informatics|November 11, 2024
SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea DiagnosisClara Garcia-Vicente, Gonzalo C Gutierrez-Tobal, Fernando Vaquerizo-Villar, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Beyond the ground truth, XGBoost model applied to sleep spindle event detectionEnrique Gurdiel, Fernando Vaquerizo-Villar, Javier Gomez-Pilar, et al.
IEEE Journal of Translational Engineering in Health and Medicine|January 8, 2026
An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel AirflowVeronica Barroso-Garcia, Fernando Vaquerizo-Villar, Gonzalo C Gutierrez-Tobal, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry SignalFernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C Gutiérrez-Tobal, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's diseaseCarlos Gomez, Fernando Vaquerizo-Villar, Jesus Poza, et al.
Pain Medicine (Malden, Mass.)|April 27, 2026
Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraineJavier Gomez-Pilar, Fernando Vaquerizo-Villar, David García-Azorín, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep ApneaGonzalo C Gutiérrez-Tobal, Daniel Álvarez, Fernando Vaquerizo-Villar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apneaFernando Vaquerizo-Villar, Daniel Alvarez, Gonzalo C Gutierrez-Tobal, et al.
Applied Soft Computing|November 15, 2024
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adultsGonzalo C Gutiérrez-Tobal, Daniel Álvarez, Fernando Vaquerizo-Villar, et al.
Computers in Biology and Medicine|September 13, 2023
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apneaFernando Vaquerizo-Villar, Gonzalo C Gutiérrez-Tobal, Eva Calvo, et al.
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