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Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19
(2023-12-14)
[Abstract]: La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un ...
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images
(Elsevier, 2020-04)
[Abstract]: Background and objectives:The analysis of the retinal vasculature plays an important role in the diagnosis of many ocular and systemic diseases. In this context, the accurate detection of the vessel crossings ...
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 ...
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 ...
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 ...
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes
(Springer, 2022-05)
[Abstract]: Age-related macular degeneration is the leading cause of vision loss in developed countries, and wet-type AMD requires urgent treatment and rapid diagnosis because it causes rapid irreversible vision loss. ...
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 ...
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 ...
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
(Sage, 2024-02-01)
[Absctract]: Background: The COVID-19 can cause long-term symptoms in the patients after they overcome the disease. Given that this disease mainly damages the respiratory system, these symptoms are often related with ...
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images
(Springer Nature, 2024-03-19)
[Absctract]: Respiratory diseases have a significant global impact, and assessing these conditions is crucial for improving patient outcomes. Chest X-ray is widely used for diagnosis, but expert evaluation can be challenging. ...