GONZALO CESAR
GUTIERREZ TOBAL
PROFESORA/PROFESOR PERMANENTE LABORAL
Publications (120) GONZALO CESAR GUTIERREZ TOBAL publications
2026
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A subject-based association network defines new pediatric sleep apnea phenotypes with different odds of recovery after treatment
Computer Methods and Programs in Biomedicine, Vol. 275
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Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2
Measurement: Journal of the International Measurement Confederation, Vol. 264
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DDFU-Net: A Deep Decoder-Focused U-Net Model for Retinal Lesion Segmentation
Annals of Biomedical Engineering
2025
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An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow
IEEE Journal of Translational Engineering in Health and Medicine, Vol. 13, pp. 517-531
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An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals
Engineering Applications of Artificial Intelligence, Vol. 162
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An explainable deep-learning model reveals clinical clues in diabetic retinopathy through SHAP
Biomedical Signal Processing and Control, Vol. 102
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Beyond the Ground Truth, XGBoost Model Applied to Sleep Spindle Event Detection
IEEE Journal of Biomedical and Health Informatics, Vol. 29, Núm. 7, pp. 4873-4883
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Explainable Artificial Intelligence for Early Detection and Diagnosis of Age-Related Macular Degeneration
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2025, pp. 1-4
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Explainable hybrid convolutional and transformer network for pediatric sleep apnea diagnosis using nocturnal oximetry
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2025, pp. 1-4
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Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)
Scientific Reports, Vol. 15, Núm. 1
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Identifying Clinically Relevant OSA Phenotypes using HRV and Subject-Based Weighted Correlation Network Analysis
CASEIB 2025. Libro de Actas del XLIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Innovando en tecnología para la salud y calidad de vida
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Phenotypic Characterization of Sleep Apnea Using Clusters Derived from Subject-Based SpO2 Weighted Correlation Networks
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2025, pp. 1-4
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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis
IEEE Journal of Biomedical and Health Informatics, Vol. 29, Núm. 2, pp. 1021-1034
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StageECG: un enfoque deep learning para detectar las fases del sueño a partir del ECG nocturno de niños con sospecha de apnea obstructiva
CASEIB 2025. Libro de Actas del XLIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Innovando en tecnología para la salud y calidad de vida
2024
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Accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry
IFMBE Proceedings
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An Explainable Deep-Learning Model to Aid in the Diagnosis of Age Related Macular Degeneration
IFMBE Proceedings
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An Interpretable CNN-Transformer for Pediatric Sleep Apnea Diagnosis using ECG
2024 13th Conference of the European Study Group on Cardiovascular Oscillations: Physiologically-Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations, ESGCO 2024
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An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
Biomedical Signal Processing and Control, Vol. 87
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Comparación entre involuciones y convoluciones para la graduación de la severidad de la degeneración macular asociada a la edad
CASEIB 2024. Libro de Actas del XLII Congreso Anual de la Sociedad Española de Ingeniería Biomédica
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ECG-Derived Respiratory Power Index to Evaluate and Track Pediatric Sleep Apnea
2024 13th Conference of the European Study Group on Cardiovascular Oscillations: Physiologically-Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations, ESGCO 2024