Browsing GI-VARPA - Congresos, conferencias, etc. by Title
Now showing items 28-44 of 44
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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 ... -
Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images
(MDPI AG, 2019-08-01)[Abstract] Hereby we present a methodology with the objective of detecting retinal fluid accumulations in between the retinal layers. The methodology uses a robust Densely Connected Neural Network to classify thousands of ... -
Joint Optic Disc and Cup Segmentation Using Self-Supervised Multimodal Reconstruction Pre-Training
(MDPI AG, 2020-08-20)[Abstract] The analysis of the optic disc and cup in retinal images is important for the early diagnosis of glaucoma. In order to improve the joint segmentation of these relevant retinal structures, we propose a novel ... -
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 ... -
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 ... -
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 ... -
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 ... -
Study on Relevant Features in COVID-19 PCR Tests
(MDPI AG, 2020-08-26)[Abstract] In the year 2020, the world suffered the effects of a global pandemic. COVID-19 is a disease that mainly affects the respiratory system of patients, even causing a disproportionate response of the immune system ... -
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 ... -
Visualization of pathological changes in retinal layer thickness using optical coherence tomography
(Instituto de Investigación Sanitaria de Santiago (IDIS), 2023-12)[Abstract]: Optical Coherence Tomography (OCT) is a non-invasive imaging technique that provides high-resolution cross-sectional images of biological tissues. Biomarkers such as the thickness of retinal layers can be used ...