Listar por autor "Moura, Joaquim de"
Mostrando ítems 41-60 de 111
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Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (i6doc.com publication, 2021)[Abstract]: Computer-aided diagnosis plays an important role in the COVID-19 pandemic. Currently, it is recommended to use X-ray imaging to diagnose and assess the evolution in patients. Particularly, radiologists are asked ... -
Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
Vidal, Plácido; Moura, Joaquim de; Almuiña, Pablo; Fernández, María Isabel; Ortega Hortas, Marcos; Novo Buján, Jorge (Springer, 2023-08)[Abstract]: Optical Coherence Tomography Angiography or OCTA represents one of the main means of diagnosis of Age-related Macular Degeneration (AMD), the leading cause of blindness in developed countries. This eye disease ... -
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 ... -
Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans
Otero, Iago; Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (2019-04)[Absctract]: We propose a novel methodology using Optical Coherence Tomography (OCT) images to detect the 3 clinically defined types of Macular Edema, which is among the main causes of blindness: Diffuse Retinal Thickening ... -
COVID-19 Lung Radiography Segmentation by Means of Multiphase Transfer Learning
Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI, 2021)[Abstract] COVID-19 is characterized by its impact on the respiratory system and, during the global outbreak of 2020, specific protocols had to be designed to contain its spread within hospitals. This required the use of ... -
Cuantificación automática de las dimensiones del músculo ciliar en tomografía de coherencia óptica mediante deep learning
Fernández-Vigo, José Ignacio; De Pablo Gómez de Liaño, Lucía; Goyanes, Elena; Moura, Joaquim de (Sociedad Española de Oftalmología (SEO), 2022)[Resumen]: Analizar un sistema de cuantificación de las dimensiones del músculo ciliar (CM) en imágenes obtenidas mediante tomografía de coherencia óptica (OCT) empleando técnicas de deep learning. -
Cycle generative adversarial network approaches to produce novel portable chest X-rays images for covid-19 diagnosis
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers Inc., 2021)[Abstract]: Coronavirus Disease 2019 (COVID-19), declared a global pandemic by the World Health Organization, mainly affects the pulmonary tissues, playing chest X-ray images an important role for its screening and early ... -
Data Augmentation Approaches Using Cycle-Consistent Adversarial Networks for Improving COVID-19 Screening in Portable Chest X-Ray Images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2021)[Abstract] The current COVID-19 pandemic, that has caused more than 100 million cases as well as more than two million deaths worldwide, demands the development of fast and accurate diagnostic methods despite the lack of ... -
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 ... -
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2023)[Abstract]: COVID-19 is a challenging disease that was declared as global pandemic in March 2020. As the main impact of this disease is located in the pulmonary regions, chest X-ray devices are very useful to understand ... -
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, ... -
Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli
Fernández Arias, Alba; Moura, Joaquim de; Ortega Hortas, Marcos; Penedo, Manuel (Scitepress, 2015)[Absctract]: Hearing assessment becomes a challenge for the audiologists when there are severe difficulties in the communication with the patient. This methodology is aimed at facilitating the audiological evaluation of ... -
Detection of reactions to sound via gaze and global eye motion analysis using camera streaming
Fernández Arias, Alba; Ortega Hortas, Marcos; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel (Springer, 2018-06)[Abstract]: This work is focused on the field of automatic hearing assessment for patients presenting cognitive decline or severe communication difficulties. Audiometry is a test of behavior requiring intense interaction ... -
Diabetic Macular Edema Characterization and Visualization Using Optical Coherence Tomography Images
Vidal, Plácido; Moura, Joaquim de; Díaz González, Macarena; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2020-10-31)[Abstract] Diabetic Retinopathy and Diabetic Macular Edema (DME) represent one of the main causes of blindness in developed countries. They are characterized by fluid deposits in the retinal layers, causing a progressive ... -
Diabetic Macular Edema Characterization by Automatic Analysis of Optical Coherence Tomography
Moura, Joaquim de (2019)[Abstract] Diabetic Macular Edema (DME) is one of the most important complications of diabetes and a leading cause of preventable blindness in the developed countries. Among the di erent image modalities, Optical Coherence ... -
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 ... -
End-To-End Multi-Task Learning Approaches for the Joint Epiretinal Membrane Segmentation and Screening in OCT Images
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] Background and objectives The Epiretinal Membrane (ERM) is an ocular disease that can cause visual distortions and irreversible vision loss. Patient sight preservation relies on an early diagnosis and on determining ... -
Enhanced visualization of the retinal vasculature using depth information in OCT
Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Barreira, Noelia; Ortega Hortas, Marcos (Springer, 2017-06-17)[Abstract]: Retinal vessel tree extraction is a crucial step for analyzing the microcirculation, a frequently needed process in the study of relevant diseases. To date, this has normally been done by using 2D image capture ... -
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 ... -
Estudio comparativo del glistening en cuatro modelos de lentes intraoculares evaluado por tomografía de coherencia ópticay deep learning
Fernández-Vigo, José Ignacio; Macarro-Merino, Ana; Moura, Joaquim de; Novo Buján, Jorge; Fernández-Vigo, José A. (2023-12)El propósito de este póster es evaluar el glistening en cuatro modelos diferentes de lentes intraoculares (LIO) mediante tomografía de coherencia óptica (OCT) y deep learning (DL).