Listar por autor "Ortega Hortas, Marcos"
Mostrando ítems 21-40 de 80
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Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies
Díaz González, Macarena; Diez Sotelo, Marta; Gómez-Ulla, Francisco; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (M D P I AG, 2019-10-31)[Abstract] Optical Coherence Tomography Angiography (OCTA) constitutes a new non-invasive ophthalmic image modality that allows the precise visualization of the micro-retinal vascularity that is commonly used to analyze ... -
Automatic Wide Field Registration and Mosaicking of OCTA Images Using Vascularity Information
Díaz González, Macarena; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier BV, 2019)[Abstract] Optical Coherence Tomography Angiography (OCTA) constitutes a novel ophthalmological image modality that is characterized for being a non-invasive capture technique that allows a profound analysis of the vascular ... -
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2023-07)[Abstract]: COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical ... -
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 ... -
Context encoder transfer learning approaches for retinal image analysis
Iglesias Morís, Daniel; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier Ltd, 2023-01)[Abstract]: During the last years, deep learning techniques have emerged as powerful alternatives to solve biomedical image analysis problems. However, the training of deep neural networks usually needs great amounts of ... -
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 ... -
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 ... -
Data Extraction in Insurance Photo-Inspections Using Computer Vision
Gende, M.; Ortega Hortas, Marcos; Penedo, Manuel (MDPI AG, 2020-08-21)[Abstract] Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This ... -
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 ... -
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (Elsevier, 2020-04)[Abstract]: Background and objectives:The analysis of the retinal vasculature plays an important role in the diagnosis of many ocular and systemic diseases. In this context, the accurate detection of the vessel crossings ... -
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, ... -
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 ... -
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 ...