Listar por autor "Sánchez, Clara I."

Mostrando ítems 1-3 de 3

    • Automatic Deep Learning-based Models for Retinal Layer Thickness Analysis as a Biomarker for Neurodegenerative Diseases 

      Gende, M.; Moura, Joaquim de; Cordón Ciordia, Beatriz; Viladés, Elisa; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (ARVO (Association for Research in Vision and Ophthalmology), 2023-06)
      Purpose : The retina is the most accessible part of the central nervous system, allowing its non-invasive exploration and measurement. Optical Coherence Tomography (OCT) offers an objective monitoring method of progression ...

    • Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios 

      Gende, M.; Mallén Gracia, Victor; Moura, Joaquim de; Cordón Ciordia, Beatriz; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (IEEE, 2023-11)
      [Absctract]: Retinal Optical Coherence Tomography (OCT) allows the non-invasive direct observation of the central nervous system, enabling the measurement and extraction of biomarkers from neural tissue that can be helpful ...

    • Sistema automático para la evaluación de enfermedades neurodegenerativas en imágenes OCT mediante deep learning 

      Álvarez-Rodríguez, Lorena; Pueyo-Bestué, Ana; Moura, Joaquim de; Viladés, Elisa; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (2023-12)
      El Alzhéimer (AD), el temblor esencial (ET), la esclerósis múltiple (MS) o el Párkinson (PD) son enfermedades neurodegenerativas (END) que están correlacionadas con cambios en algunas capas retinales clave. Las tomografías ...