Listar GI-VARPA - Congresos, conferencias, etc. por título
Mostrando ítems 63-82 de 89
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Multi-expert analysis and validation of objective vascular tortuosity measurements
(Elsevier, 2018)[Absctract]: The retinal vascular tortuosity is a commonly used parameter for the early diagnosis of several diseases that affects the circulatory system. The manual analysis of fundus images for the tortuosity characterization ... -
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 ... -
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement
(Elsevier, 2018)[Absctract]: The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, like hypertension or diabetes. ... -
Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach
(Springer, 2017)[Abstract]: Optical Coherence Tomography (OCT) is affected by ubiquitous speckle noise that difficult the visualization and analysis of the retinal structures. Any denoising strategy should be able to remove efficiently ... -
Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction
(M D P I AG, 2019-08-07)[Abstract] This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography ... -
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 ... -
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 ... -
Portable Chest X-ray Synthetic Image Generation for the COVID-19 Screening
(MDPI, 2021)[Abstract] The global pandemic of COVID-19 raises the importance of having fast and reliable methods to perform an early detection and to visualize the evolution of the disease in every patient, which can be assessed with ... -
Predicción de la respuesta a terapia fotodinámica en pacientes con coriorretinopatía serosa central utilizando inteligencia artificial basada en imágenes de tomografía de coherencia óptica
(2021-12)El objetivo del póster es determinar si mediante el análisis de la OCT macular basal de los pacientes con coriorretinopatía serosa central crónica (CSCc) se puede predecir mediante inteligencia artificial (IA) la ... -
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 ... -
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. ... -
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 ... -
Retinal Vascular Analysis in a Fully Automated Method for the Segmentation of DRT Edemas Using OCT Images
(Elsevier BV, 2019)[Abstract] Optical Coherence Tomography (OCT) is a well-established medical imaging technique that allows a complete analysis and evaluation of the main retinal structures and their histopathology properties. Diabetic ... -
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 ... -
Segmentación automática del músculo ciliar en imágenes de tomografía de coherencia óptica empleando deep learning
(Sociedad Española de Oftalmología (SEO), 2021)[Resumen]: Este trabajo presenta diferentes metodologías para la segmentación automática de las dimensiones del músculo ciliar mediante imágenes de OCT empleando deep learning, demostrando una gran precisión en la medición ... -
Sistema automático de identificación del edema macular diabético usando imágenes de tomografía de coherencia óptica
(2019-03)El edema macular diabético (EMD) es una de las principales causas de pérdida de visión en la población en edad laboral. La tomografía de coherencia óptica (OCT), se ha convertido en una herramienta imprescindible para la ... -
Sistema automático para a segmentación das capas da retina en pacientes con glaucoma mediante OCT
(2023-12)É fundamental realizar unha diagnose precoz do glaucoma para preservar a saúde visual dos pacientes. Mediante distintos patróns de Tomografía de Coherencia Óptica (OCT), é posible medir o grosor das capas do tecido ... -
Sistema automático para la evaluación de enfermedades neurodegenerativas en imágenes OCT mediante deep learning
(2023-12)El Alzhéimer (AD), el temblor esencial (ET), la esclerósis múltiple (MS) o el Párkinson (PD) son enfermedades neurodegenerativas (END) que están correlacionadas con cambios en algunas capas retinales clave. Las tomografías ... -
Sistema automático para la predicción de la respuesta a la terapia fotodinámica en la coriorretinopatía serosa central
(Instituto de Investigación Sanitaria de Santiago (IDIS), 2023-12)[Resumen] Se presenta un innovador método de deep learning para la segmentación automatizada en 3D de las regiones de fluido en imágenes de Tomografía de Coherencia ´Óptica (OCT) de pacientes con coriorretinopatía serosa ...