Browsing by Author "Álvarez-Rodríguez, Lorena"
Now showing items 1-7 of 7
-
3D Point Cloud Analysis via Transformer-Based Graph Learning for Multiple Sclerosis Screening in OCT Images
Álvarez-Rodríguez, Lorena; García Prego, Iván; Moura, Joaquim de; Pueyo-Bestué, Ana; Viladés, Elisa; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2024)[Abstract]: Multiple Sclerosis (MS), the leading cause of non-traumatic neurological impairment in young adults, manifests morphological changes in the retina observable in Optical Coherence Tomography (OCT) images. These ... -
Analysis of Imbalanced Datasets in the Performance of Deep Learning Approaches for COVID-19 Screening from Chest X-ray Imaging: Impact of Sex and Age Factors
Álvarez-Rodríguez, Lorena; Moura, Joaquim de; Ramos, Lucía; Novo Buján, Jorge; Ortega Hortas, Marcos (EasyChair, 2023-02-16)[Absctract]: In this work, we analysed 11 imbalance scenarios with female and male COVID-19 patients present in different proportions for the sex analysis, and 6 scenarios where only one specific age range was used for ... -
Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning
Fernández-Vigo, José Ignacio; Macarro-Merino, Ana; Moura, Joaquim de; Álvarez-Rodríguez, Lorena; Burgos-Blasco, Barbara; Novo Buján, Jorge; Ortega Hortas, Marcos; Fernández-Vigo, José A. (Wolters Kluwer on behalf of ASCRS and ESCRS, 2024-01)Purpose: To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL). Setting: Centro Internacional de Oftalmología Avanzada (Madrid, ... -
Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?
Álvarez-Rodríguez, Lorena; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (BMC, 2022)[Abstract] Background The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study ... -
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images
Álvarez-Rodríguez, Lorena; Pueyo-Bestué, Ana; Moura, Joaquim de; Viladés, Elisa; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2024-12)[Abstract]: The prevalence of neurodegenerative diseases (NDDs) such as Alzheimer’s (AD), Parkinson’s (PD), Essential tremor (ET), and Multiple Sclerosis (MS) is increasing alongside the aging population. Recent studies ... -
Heatmap-guided balanced multi-task learning approach for glistening characterization in OCT images
Álvarez-Rodríguez, Lorena; Moura, Joaquim de; Fernández-Vigo, José Ignacio; Macarro-Merino, Ana; Fernández-Vigo, José A.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier Ltd, 2025-06)[Abstract]: Glistening in intraocular lenses (IOLs) refers to the formation of water-filled microvacuoles within the lens material, typically assessed via slit-lamp (SL) photography. Recent proposals, like Optical Coherence ... -
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 ...
