Listar por autor "Ramos, Lucía"
Mostrando ítems 1-12 de 12
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A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance
Fraga-Lamas, Paula; Ramos, Lucía; Mondéjar-Guerra, Víctor; Fernández-Caramés, Tiago M. (M D P I AG, 2019-09-14)[Abstract] Advances in Unmanned Aerial Vehicles (UAVs), also known as drones, offer unprecedented opportunities to boost a wide array of large-scale Internet of Things (IoT) applications. Nevertheless, UAV platforms still ... -
Advancing the diagnosis of Dry Eye Syndrome : development of dynamic, automated tear film Break-Up assessment
Ramos, Lucía (2014)[Resumen] El síndrome de ojo seco es un trastorno común de la película lagrimal que afecta a un sector significativo de la población, impactando en la calidad de vida. El diagnóstico de esta enfermedad es difícil debido ... -
Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks
Moura, Joaquim de; Ramos, Lucía; Vidal, Plácido; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2020-08-21)[Abstract] The new coronavirus (COVID-19) is a disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 11 March 2020, the coronavirus outbreak has been labelled a global pandemic by the ... -
Computational assessment of the retinal vascular tortuosity integrating domain-related information
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo, S.; Álvarez, M. D.; Ortega Hortas, Marcos (Nature Research, 2019-12-27)[Abstract] The retinal vascular tortuosity presents a valuable potential as a clinical biomarker of many relevant vascular and systemic diseases. Commonly, the existent approaches face the tortuosity quantification by means ... -
Computational Radiological Screening of Patients with COVID-19 Using Chest X-ray Images from Portable Devices
Moura, Joaquim de; Ramos, Lucía; Vidal, Plácido; Cruz, Nilfa Milena; Abelairas López, Laura; Castro López, Eva; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI, 2021)[Abstract] This work presents a fully automatic system for the screening of chest X-ray images from portable devices under the analysis of three different clinical categories: normal, pathological cases of pulmonary diseases ... -
Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices
Moura, Joaquim de; Ramos, Lucía; Vidal, Plácido; Cruz, Nilfa Milena; Abelairas López, Laura; Castro López, Eva; Novo Buján, Jorge; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers, 2020-10-26)[Abstract] The recent human coronavirus disease (COVID-19) is a respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Given the effects of COVID-19 in pulmonary tissues, chest ... -
Desarrollo de competencias en visión artificial utilizando estrategias de aprendizaje cooperativo multiespecialidad con estudiantes de TFG
Ramos, Lucía; Moura, Joaquim de; Ortega Hortas, Marcos; Novo Buján, Jorge (Centro Universitario de Formación e Innovación Educativa (CUFIE), Universidade da Coruña, 2022)[Resumen] Los nuevos paradigmas derivados de la implantación del Espacio Europeo de Educación Superior conllevan un incremento importante en el uso de metodologías activas centradas en el desarrollo de competencias, ... -
Estrategias para mejorar la participación de los estudiantes en la docencia síncrona en asignaturas del Máster Interuniversitario en Visión por Computador
Moura, Joaquim de; Ramos, Lucía; Novo Buján, Jorge; Ortega Hortas, Marcos (Universidade da Coruña, Servizo de Publicacións, 2021)[Resumen] Los nuevos paradigmas de la educación digital surgen como nuevas formas de interacción entre docentes y estudiantes donde la modalidad de enseñanza cambia de presencial a virtual. Sin embargo, las herramientas ... -
Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity
Hervella, Álvaro S.; Ramos, Lucía; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer, 2024)[Abstract]: Retinal vascular tortuosity is an excessive bending and twisting of the blood vessels in the retina that is associated with numerous health conditions. We propose a novel methodology for the automated assessment ... -
Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo Villadoniga, Stephanie; Álvarez Días, María Dolores; Ortega Hortas, Marcos (MDPI AG, 2020-08-21)[Abstract] The fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and ... -
Joint Optic Disc and Cup Segmentation Using Self-Supervised Multimodal Reconstruction Pre-Training
Hervella, Álvaro S.; Ramos, Lucía; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2020-08-20)[Abstract] The analysis of the optic disc and cup in retinal images is important for the early diagnosis of glaucoma. In order to improve the joint segmentation of these relevant retinal structures, we propose a novel ... -
Study on Relevant Features in COVID-19 PCR Tests
Vidal, Plácido; Moura, Joaquim de; Ramos, Lucía; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2020-08-26)[Abstract] In the year 2020, the world suffered the effects of a global pandemic. COVID-19 is a disease that mainly affects the respiratory system of patients, even causing a disproportionate response of the immune system ...