Publicacións en colaboración con investigadores/as de Hospital Universitario Pío del Río Hortega (132)

2024

  1. An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals

    Biomedical Signal Processing and Control, Vol. 87

  2. Breast Carcinoma Prediction Through Integration of Machine Learning Models

    IEEE Access, Vol. 12, pp. 134635-134650

  3. Development of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Study

    Journal of Clinical Medicine, Vol. 13, Núm. 19

  4. Exploring the disruptions of the neurophysiological organization in Alzheimer's disease: An integrative approach

    Computer Methods and Programs in Biomedicine, Vol. 250

  5. Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks

    Science of the Total Environment, Vol. 917

2023

  1. An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

    Computers in Biology and Medicine, Vol. 165

  2. Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

    NeuroImage, Vol. 280

  3. Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study

    Internal and Emergency Medicine, Vol. 18, Núm. 6, pp. 1797-1806

  4. Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer's disease continuum

    Journal of neural engineering, Vol. 20, Núm. 3

2022

  1. A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals

    MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings

  2. Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea

    Advances in experimental medicine and biology, Vol. 1384, pp. 131-146

  3. Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal

    Advances in experimental medicine and biology, Vol. 1384, pp. 255-264

  4. Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity

    Advances in experimental medicine and biology, Vol. 1384, pp. 43-61

  5. Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution

    Sleep, Vol. 45, Núm. 2

  6. Influence of energy density on the effectiveness of the treatment of plantar fasciitis with focused extracorporeal shock waves.

    Investigacion Clinica (Venezuela), Vol. 63, Núm. 1, pp. 32-46

  7. Online Mindfulness Experience for Emotional Support to Healthcare staff in times of Covid-19

    Journal of Medical Systems, Vol. 46, Núm. 3

  8. Oximetry Indices in the Management of Sleep Apnea: From Overnight Minimum Saturation to the Novel Hypoxemia Measures

    Advances in experimental medicine and biology, Vol. 1384, pp. 219-239

  9. Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta-analysis

    Pediatric Pulmonology, Vol. 57, Núm. 8, pp. 1931-1943

  10. Synthetic MRI improves radiomics-based glioblastoma survival prediction

    NMR in Biomedicine, Vol. 35, Núm. 9

  11. Telemedicine solutions for patients with mental disorders: a Delphi study and review of mobile applications in virtual stores

    Informatics for Health and Social Care, Vol. 47, Núm. 2, pp. 223-242