Listar GI-VARPA - Congresos, conferencias, etc. por autor "Ortega Hortas, Marcos"
Mostrando ítems 1-20 de 43
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3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images
Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos; Charlón, Pablo (Springer, 2016-07-01)[Absctract]: Detection and analysis of the arterio-venular tree of the retina is a relevant issue, providing useful information in procedures such as the diagnosis of different pathologies. Classical approaches for vessel ... -
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 ... -
Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (2023-12-14)[Abstract]: La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un ... -
Automatic Deep Learning-based Models for Retinal Layer Thickness Analysis as a Biomarker for Neurodegenerative Diseases
Gende, M.; Moura, Joaquim de; Cordón Ciordia, Beatriz; Viladés, Elisa; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (ARVO (Association for Research in Vision and Ophthalmology), 2023-06)Purpose : The retina is the most accessible part of the central nervous system, allowing its non-invasive exploration and measurement. Optical Coherence Tomography (OCT) offers an objective monitoring method of progression ... -
Automatic Identification of Diabetic Macular Edema Using a Transfer Learning-Based Approach
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2019-07-31)[Abstract] This paper presents a complete system for the automatic identification of pathological Diabetic Macular Edema (DME) cases using Optical Coherence Tomography (OCT) images as source of information. To do so, the ... -
Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (MDPI, 2021)[Abstract] The Epiretinal Membrane (ERM) is an ocular disease that appears as a fibro-cellular layer of tissue over the retina, specifically, over the Inner Limiting Membrane (ILM). It causes vision blurring and distortion, ... -
Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images
Otero, Iago; Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2019-08-01)[Abstract] The methodology presented in this paper aims to detect pathological regions affected by one or more of the three clinically defined types of Diabetic Macular Edema (DME). Using representative samples extracted ... -
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 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 ... -
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 self-supervised approaches for eye fundus analysis
Iglesias Morís, Daniel; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers Inc., 2021)[Abstract]: The broad availability of medical images in current clinical practice provides a source of large image datasets. In order to use these datasets for training deep neural networks in detection and segmentation ... -
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 ... -
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 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 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 ... -
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 ... -
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 ... -
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 ...