Listar por autor "Ortega Hortas, Marcos"
Mostrando ítems 41-60 de 93
-
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 ... -
End-To-End Multi-Task Learning for Simultaneous Optic Disc and Cup Segmentation and Glaucoma Classification in Eye Fundus Images
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] The automated analysis of eye fundus images is crucial towards facilitating the screening and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the diagnosis of this disease using deep ... -
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 ... -
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
López-Varela, Emilio; Moura, Joaquim de; Novo Buján, Jorge; Fernández-Vigo, José Ignacio; Moreno-Morillo, Francisco Javier; García-Feijóo, Julián; Ortega Hortas, Marcos (Elsevier, 2024-03)[Abstract]: Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality used to evaluate the retinal microvasculature. Recent advances in OCTA allows to visualize the blood flow within the choriocapillaris ... -
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 ... -
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Olañeta Fariña, Daniel; Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2023)[Abstract]: Patients at high risk of contracting COVID-19 require specialized monitoring throughout their illness to ensure optimal treatment at each stage. To support this monitoring, Computer-Aided Diagnosis (CAD) methods ... -
Feature Definition and Comprehensive Analysis on the Robust Identification of Intraretinal Cystoid Regions Using Optical Coherence Tomography Images
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Rouco, J.; Penedo, Manuel; Ortega Hortas, Marcos (Springer, 2022)[Abstract] Currently, optical coherence tomography is one of the most used medical imaging modalities, offering cross-sectional representations of the studied tissues. This image modality is specially relevant for the ... -
Fully Automatic Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images
Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] Covid-19 is a new infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Given the seriousness of the situation, the World Health Organization declared a global pandemic as ... -
Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (IGI Global, 2022-06)[Absctract]: The epiretinal membrane (ERM) is an ocular pathology that can cause visual distortions. To prevent a loss of vision, symptomatic ERM needs to be removed before it can cause irreversible damage. In order to do ... -
Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
Díaz González, Macarena; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (MDPI AG, 2020-09-04)[Abstract] In this work we propose the automatic estimation of the visual acuity of patients with retinal vein occlusion using Optical Coherence Tomography by Angiography (OCTA) images. To do this, we first extract the ... -
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 ... -
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images
López-Varela, Emilio; Moura, Joaquim de; Novo Buján, Jorge; Fernández-Vigo, José Ignacio; Moreno-Morillo, Francisco Javier; Ortega Hortas, Marcos (Elsevier, 2023)[Abstract]: Optical coherence tomography angiography (OCTA) is a non-invasive ophthalmic imaging modality that is widely used in clinical practice. Recent technological advances in OCTA allow imaging of blood flow deeper ... -
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes
López-Varela, Emilio; Vidal, Plácido; Olivier Pascual, Nuria; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer, 2022-05)[Abstract]: Age-related macular degeneration is the leading cause of vision loss in developed countries, and wet-type AMD requires urgent treatment and rapid diagnosis because it causes rapid irreversible vision loss. ... -
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images
Goyanes, Elena; Moura, Joaquim de; Novo Buján, Jorge; Fernández-Vigo, José Ignacio; Fernández-Vigo, José A.; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers, 2022)[Abstract]: The study of the ciliary muscle represents a fundamental step in the diagnosis and treatment of many high-incidence diseases, such as glaucoma or myopia. Currently, Anterior Segment Optical Coherence Tomography ... -
Generation of Novel Synthetic Portable Chest X-Ray Images for Automatic COVID-19 Screening
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (IGI Global, 2022)[Abstract]: The diagnosis and the study of the evolution of COVID-19 is crucial to tackle the challenge that this disease represents for healthcare services. Chest x-ray imaging allows us to visualize the pulmonary regions, ... -
Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers
Mondéjar-Guerra, Víctor; Novo Buján, Jorge; Rouco, J.; Penedo, Manuel; Ortega Hortas, Marcos (Elsevier, 2019-01)[Abstract]: A method for the automatic classification of electrocardiograms (ECG) based on the combination of multiple Support Vector Machines (SVMs) is presented in this work. The method relies on the time intervals between ... -
High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer, 2022-05-15)[Absctract]: Recent advances in artificial intelligence and deep learning models are contributing to the development of advanced computer-aided diagnosis (CAD) systems. In the context of medical imaging, Optical Coherence ... -
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders
Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (Elsevier, 2023)[Abstract]: One of the main issues with deep learning is the need of a significant number of samples. We intend to address this problem in the field of Optical Coherence Tomography (OCT), specifically in the context of ...