Listar GI-VARPA - Congresos, conferencias, etc. por título
Mostrando ítems 26-45 de 82
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Choroid segmentation in non-EDI OCT images of multiple sclerosis patients
(A. Leitao and L. Ramos (eds.), 2023)[Abstract]: Optical coherence tomography (OCT) is a non-invasive diagnostic technique that can image ocular structures. Recently, this imaging technique has been used to diagnose and monitor patients with multiple sclerosis ... -
Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration
(Springer Science and Business Media Deutschland GmbH, 2022)[Abstract]: In the field of ophthalmology, different imaging modalities are commonly used to carry out different clinical diagnostic procedures. Currently, both optical coherence tomography (OCT) and optical coherence ... -
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices
(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
(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
(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 ... -
Context encoder self-supervised approaches for eye fundus analysis
(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
(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
(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
(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
(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
(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 learning for segmentation of optic disc and retinal layers in peripapillary optical coherence tomography images
(Society of Photo-Optical Instrumentation Engineers (SPIE), 2023-06)[Abstract]: Optical coherence tomography (OCT) is a non-invasive technique that allows the retina to be studied with precision, the analysis of the features of its layers and other structures such as the macula or the optic ... -
Deep Multi-Segmentation Approach for the Joint Classification and Segmentation of the Retinal Arterial and Venous Trees in Color Fundus Images
(MDPI, 2021)[Abstract] The analysis of the retinal vasculature represents a crucial stage in the diagnosis of several diseases. An exhaustive analysis involves segmenting the retinal vessels and classifying them into veins and arteries. ... -
Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli
(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 ... -
Enhancing Retinal Blood Vessel Segmentation through Self-Supervised Pre-Training
(MDPI AG, 2020-08-25)[Abstract] The segmentation of the retinal vasculature is fundamental in the study of many diseases. However, its manual completion is problematic, which motivates the research on automatic methods. Nowadays, these methods ... -
Estudio comparativo del glistening en cuatro modelos de lentes intraoculares evaluado por tomografía de coherencia ópticay deep learning
(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). -
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
(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 Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images
(Springer, 2017-10)[Absctract]: Optical Coherence Tomography (OCT) is a common imaging technique for the detection and analysis of optical diseases, since it is a non invasive method that generates in vivo a cross-sectional visualization of ... -
Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography
(Elsevier B.V., 2017)[Abstract]: Optical Coherence Tomography (OCT) is, nowadays, a clinical standard imaging technique in opthalmology as it provides more information than other classical modalities as can be, for instance, retinographies. ... -
Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples
(MDPI, 2018)[Abstract]: The work herein proposed presents a methodology which aims to identify cystoid regions using OCT scans. This method obtained satisfactory results detecting cystoid regions with different levels of complexity ...