Browsing by Author "Ramos, Lucía"
Now showing items 1-20 of 20
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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 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 ... -
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 ... -
Integrando a linguaxe inclusiva no currículo universitario: un caso de estudo no Grao en Inglés da UDC
Ramos, Lucía; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Águeda Gómez Suárez, Ana Neira Pena e Marta Pérez Pereiro: Universidade de Vigo; Universidade da Coruña; Universidade de Santiago de Compostela, 2023)[Resumo]: Neste estudo, proponse unha actividade de innovación docente no contexto da materia Tecnoloxías da Información e da Comunicación (TIC) do Grao en Inglés da Universidade da Coruña (UDC), co obxectivo de promover ... -
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 ... -
Machine learning-based WENO5 scheme
Nogueira, Xesús; Fernández-Fidalgo, Javier; Ramos, Lucía; Couceiro, Iván; Ramírez, Luis (Elsevier Ltd, 2024-08-15)[Abstract]: Machine learning (ML) is becoming a powerful tool in Computational Fluid Dynamics (CFD) to enhance the accuracy, efficiency, and automation of simulations. Currently, in the design of shock-capturing methods, ... -
Multi-expert analysis and validation of objective vascular tortuosity measurements
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo, S.; Álvarez, M. D.; Ortega Hortas, Marcos (Elsevier, 2018)[Absctract]: The retinal vascular tortuosity is a commonly used parameter for the early diagnosis of several diseases that affects the circulatory system. The manual analysis of fundus images for the tortuosity characterization ... -
Plataforma de apoyo en el diagnóstico de COVID y otras patologías mediante Deep Learning
Molares-Ulloa, Andrés; Moura, Joaquim de; Ramos, Lucía; Novo Buján, Jorge; Costas Mora, Marta; Flores Rodríguez, Cristina; Cordeiro-Rodríguez, Mónica; Ortega Hortas, Marcos (2022)La gravedad de la pandemia producida por la Covid-19 ha promovido el desarrollo de proyectos que buscan soluciones a la crisis sanitaria derivada de esta enfermedad. El Complejo Hospitalario Universitario A Coruña (CHUAC) ... -
Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices
Vidal, Plácido; Moura, Joaquim de; Ramos, Lucía; Novo Buján, Jorge; Ortega Hortas, Marcos (EasyChair, 2023)[Abstract]: X-ray analysis of the lungs was the main method to assess the degree of affliction of SARS-COV-2. Due to the high contagiousness of this pathology, this assessment was conducted using portable X-ray devices. ... -
Retinal vascular tortuosity assessment: Inter-intra expert analysis and correlation with computational measurements
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo Villadoniga, Stephanie; Álvarez Días, María Dolores; Ortega Hortas, Marcos (BioMed Central, 2018-11-20)[Abstract]: Background: The retinal vascular tortuosity can be a potential indicator of relevant vascular and non-vascular diseases. However, the lack of a precise and standard guide for the tortuosity evaluation hinders ... -
Robust deep learning-based approach for retinal layer segmentation in optical coherence tomography images
Budiño, Alejandro; Ramos, Lucía; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (Springer Science and Business Media Deutschland GmbH, 2022)[Abstract]: In recent years, the medical image analysis field has experienced remarkable growth. Advances in computational power have made it possible to create increasingly complex diagnostic support systems based on deep ... -
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 ...
