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Fully automatic segmentation of the choroid in non-EDI OCT images of patients with multiple sclerosis
(Elsevier, 2022)
[Abstract]: Multiple Sclerosis (MS) is a chronic neurological disease, in which immune-mediated mechanisms lead to pathological processes of neurodegeneration. Optical coherence tomography (OCT) has recently begun to be ...
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 ...
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 ...
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 ...
Automatic Deep Learning-based Models for Retinal Layer Thickness Analysis as a Biomarker for Neurodegenerative Diseases
(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 ...
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 ...
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
(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 ...
Sistema automático para a segmentación das capas da retina en pacientes con glaucoma mediante OCT
(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 ...