Supervised theses (148) Theses supervised by Department members View defended theses

2024

  1. Analysis and correlation between brain signals and genetic data for the characterization of the Alzheimer's disease

    MATURANA CANDELAS, AARÓN

    Supervised by ROBERTO HORNERO SANCHEZ y CARLOS GOMEZ PEÑA
  2. Computer aided diagnosis of pediatric sleep apnea through the analysis of airflow and oximetry signals: from ensemble learning to explainable deep learning algorithms

    JIMENEZ GARCIA, JORGE

    Supervised by MARIA GARCIA GADAÑON y GONZALO CESAR GUTIERREZ TOBAL
  3. Enhancing brain tumor diagnosis with synthetic MRI

    MOYA SÁEZ, ELISA

    Supervised by CARLOS ALBEROLA LOPEZ y RODRIGO DE LUIS GARCIA
  4. From local activation to global synchronisation: methodological challenges of M/EEG analysis for biomedical applications

    RODRÍGUEZ GONZÁLEZ, VÍCTOR

    Supervised by JESUS POZA CRESPO
  5. Heart rate variability analysis in pediatric obstructive sleep apnea: automated signal processing to identify biomarkers and help in the diagnosis

    MARTÍN MONTERO, ADRIÁN

    Supervised by ROBERTO HORNERO SANCHEZ y GONZALO CESAR GUTIERREZ TOBAL
  6. Identifying factors affecting the adoption of Learning Design methods and tools, and solutions to encourage it

    DAGNINO, FRANCESCA MARIA

    Supervised by IOANNIS DIMITRIADIS DAMOULIS y BARTOLOME RUBIA AVI

2023

  1. Aplicación de técnicas de machine learning en la predicción de hospitalizaciones y reingresos de pacientes con esquizofrenia en Castilla y León

    GÓNGORA ALONSO, SUSEL

    Supervised by ISABEL DE LA TORRE DIEZ
  2. Apnea obstructiva del sueño posicional. Implicaciones clínicas

    ARROYO DOMINGO, CARMEN AINHOA

    Supervised by FELIX DEL CAMPO MATIA y DANIEL ALVAREZ GONZALEZ
  3. Contribución de las tecnologías de la información y las comunicaciones para ayudar a la prevención del comportamiento suicida en Castilla y León: un enfoque de machine learning y salud digital

    CASTILLO SÁNCHEZ, GEMA ANABEL

    Supervised by ISABEL DE LA TORRE DIEZ
  4. DEEP-AD: The deep learning model for diagnostic classification and prognostic prediction of alzheimer's disease

    Agarwal Agarwal, Deevyankar

    Supervised by ISABEL DE LA TORRE DIEZ
  5. Enhancing erp-based brain-computer interfaces for practical applications: asynchrony, deep learning, and a novel bci platform

    SANTAMARÍA VÁZQUEZ, EDUARDO

    Supervised by ROBERTO HORNERO SANCHEZ
  6. Parallelization and deep learning techniques for the registration and reconstruction of dynamic cardiac magnetic resonance imaging

    MARTIN GONZALEZ, ELENA

    Supervised by CARLOS ALBEROLA LOPEZ y JUAN PABLO CASASECA DE LA HIGUERA
  7. Utilidad de las señales de oximetría y flujo aéreo en el diagnóstico simplificado de la apnea obstructiva del sueño. Diseño de un test automático domiciliario

    Cerezo Hernández, Ana

    Supervised by FELIX DEL CAMPO MATIA y DANIEL ALVAREZ GONZALEZ

2022

  1. Automatic analysis of overnight airflow to help in the diagnosis of pediatric obstructive sleep apnea

    Barroso García, Verónica

    Supervised by ROBERTO HORNERO SANCHEZ y GONZALO CESAR GUTIERREZ TOBAL
  2. Automatic analysis of retinal images to aid in the diagnosis and grading of diabetic retinopathy

    Romero Oraá, Roberto

    Supervised by MARIA GARCIA GADAÑON
  3. Characterization of local activation and network dynamics from electrical brain activity: application to schizophrenia, mild cognitive impairment and dementia due to alzheimer's disease

    Nuñez Novo, Pablo

    Supervised by JESUS POZA CRESPO y ROBERTO HORNERO SANCHEZ
  4. Characterization of the spontaneous eeg activity in the alzheimer's disease continuum: from local activation to network organization

    Ruiz Gómez, Saúl José

    Supervised by CARLOS GOMEZ PEÑA y ROBERTO HORNERO SANCHEZ
  5. Influencia de la contaminación ambiental sobre las agudizaciones del asma bronquial en un área de baja contaminación

    RUÍZ ALBI, TOMÁS

    Supervised by FELIX DEL CAMPO MATIA y DANIEL ALVAREZ GONZALEZ

2021

  1. A multimodal analysis of magnetic resonance imaging for the study of brain abnormalities in migraine: gray matter morphometry, white matter integrity and structural connectivity

    Planchuelo Gómez, Álvaro

    Supervised by SANTIAGO AJA FERNANDEZ y RODRIGO DE LUIS GARCIA
  2. Aportaciones de las tecnologías de la información y las comunicaciones, y de fabricación, a la práctica clínica y la docencia en medicina. Dos pruebas de concepto

    Calabia Del Campo, Jua Lorenzo

    Supervised by CARLOS ALBEROLA LOPEZ, FELIX JESUS DE PAZ FERNANDEZ y RODRIGO DE LUIS GARCIA