Listar GI-VARPA - Congresos, conferencias, etc. por data de publicación
Mostrando ítems 61-80 de 89
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Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening
(2022)[Abstract]: This manuscript presents a performance analysis of chest Xray synthetic image generation for COVID-19 screening. The proposed system translates chest X-ray images from Normal to COVID-19 and vice versa, without ... -
Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening
(Springer, 2022)[Abstract]: COVID-19 mainly affects lung tissues, aspect that makes chest X-ray imaging useful to visualize this damage. In the context of the global pandemic, portable devices are advantageous for the daily practice. F ... -
Reproducibilidad de la medida de los vacíos de flujo en la coriocapilar mediante OCTA en la coriorretinopatía serosa central
(Sociedad Española de Oftalmología, 2022)[Resumen]: Propósito: Evaluar la repetibilidad de las mediciones de vacíos de flujo (FV) de la coriocapilar (CC) y la coroides en la coriorretinopatía serosa central (CSC) mediante angiografía por tomografía de coherencia ... -
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images
(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 ... -
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. -
Robust deep learning-based approach for retinal layer segmentation in optical coherence tomography images
(Springer Science and Business Media Deutschland GmbH, 2022)[Abstract]: In recent years, the medical image analysis field has experienced remarkable growth. Advances in computational power have made it possible to create increasingly complex diagnostic support systems based on deep ... -
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 ... -
Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
(Springer, 2022-05)[Abstract]: Recent advances in OCTA allow the imaging of blood flow deeper than the retinal layers at the level of the choriocapillaris (CC), where a pattern of small dark areas represents the absence of flow, called flow ... -
Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices
(Springer, 2022-05)[Abstract]: In the recent COVID-19 outbreak, chest X-rays were the main tool for diagnosing and monitoring the pathology. To prevent further spread of this disease, special circuits had to be implemented in the healthcare ... -
High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks
(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 ... -
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 ... -
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 ... -
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening
(EasyChair, 2023)[Abstract]: COVID-19 is a disease whose gold standard diagnosis tool, RT-PCR, is unable to provide accurate quantification of its severity in a given patient. Currently, this assessment can be performed with the help of ... -
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 ... -
Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices
(EasyChair, 2023)[Abstract]: X-ray analysis of the lungs was the main method to assess the degree of affliction of SARS-COV-2. Due to the high contagiousness of this pathology, this assessment was conducted using portable X-ray devices. ... -
Integrando a linguaxe inclusiva no currículo universitario: un caso de estudo no Grao en Inglés da UDC
(Águeda Gómez Suárez, Ana Neira Pena e Marta Pérez Pereiro: Universidade de Vigo; Universidade da Coruña; Universidade de Santiago de Compostela, 2023)[Resumo]: Neste estudo, proponse unha actividade de innovación docente no contexto da materia Tecnoloxías da Información e da Comunicación (TIC) do Grao en Inglés da Universidade da Coruña (UDC), co obxectivo de promover ... -
Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images
(Institute of Electrical and Electronics Engineers, 2023)[Abstract]: Optical Coherence Tomography (OCT) is the major diagnostic tool for the leading cause of blindness in developed countries: Diabetic Macular Edema (DME). Depending on the type of fluid accumulations, different ... -
Utilidad del OCT preclínico para la caracterización retiniana de la enfermedad de Alzheimer con un modelo animal genéticamente modificado
(Sociedad Española de Retina y Vítreo, 2023)[Resumen]: La enfermedad de Alzheimer (EA) es una enfermedad neurodegenerativa caracterizada por la acumulación de placas de ß-amiloide (ßA) y proteína TAU que se depositan en las placas seniles y causan efectos tóxicos ... -
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images
(Springer, 2023-02-10)[Absctract]: The Epiretinal Membrane (ERM) is an ocular pathology that can cause permanent visual loss if left untreated for long. Despite its transparency, it is possible to visualise the ERM in Optical Coherence Tomography ... -
Multi-task Convolutional Neural Networks for the End-to-end Simultaneous Segmentation and Screening of the Epiretinal Membrane in OCT Images
(EasyChair, 2023-02-16)[Absctract]: The Epiretinal Membrane (ERM) is an ocular pathology that causes visual distortion. In order to detect and treat the ERM, ophthalmologists visually inspect Optical Coherence Tomography (OCT) images.This is ...