Listar Grupo de Visión Artificial e Recoñecemento de Patróns (VARPA) por título
Mostrando ítems 1-20 de 173
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3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images
(Springer, 2016-07-01)[Absctract]: Detection and analysis of the arterio-venular tree of the retina is a relevant issue, providing useful information in procedures such as the diagnosis of different pathologies. Classical approaches for vessel ... -
A foundation model for generalizable disease detection from retinal images
(Springer Nature, 2023-09-13)[Absctract]: Medical artificial intelligence (AI) offers great potential for recognizing signs of health conditions in retinal images and expediting the diagnosis of eye diseases and systemic disorders1. However, the ... -
A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets
(Springer, 2023-01-21)[Abstract]: In optical coherence tomography (OCT), there is a trade-off between the scanning time and image quality, leading to a scarcity of high quality data. OCT platforms provide different scanning presets, producing ... -
A Novel Automatic Method to Estimate Visual Acuity and Analyze the Retinal Vasculature in Retinal Vein Occlusion Using Swept Source Optical Coherence Tomography Angiography
(MDPI AG, 2019-09-20)[Abstract] The assessment of vascular biomarkers and their correlation with visual acuity is one of the most important issues in the diagnosis and follow-up of retinal vein occlusions (RVOs). The high workloads of clinical ... -
A robust anisotropic edge detection method for carotid ultrasound image processing
(Elsevier, 2018)[Absctract]: A new approach for robust edge detection on B-mode ultrasound images of the carotid artery is proposed in this paper. The proposed method uses anisotropic Gaussian derivative filters along with non-maximum ... -
A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
(M D P I AG, 2002-07-08)[Abstract] This paper represents the first survey on the application of AI techniques for the analysis of biomedical images with forensic human identification purposes. Human identification is of great relevance in today’s ... -
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. ... -
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 ... -
Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks
(MDPI AG, 2020-08-21)[Abstract] The new coronavirus (COVID-19) is a disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 11 March 2020, the coronavirus outbreak has been labelled a global pandemic by the ... -
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 ... -
Aplicación de IA en procesamiento de imágenes de Tomografía de Coherencia Óptica (OCT)
(Sociedad Española de Retina y Vítreo, 2020)El EMD es la principal causa de pérdida visual en los pacientes diabéticos. La OCT se ha convertido en la prueba fundamental para realizar el diagnóstico y seguimiento de los pacientes con EMD en las consultas de oftalmología. ... -
Are artificial intelligence chatbots a reliable source of information about contact lenses?
(Elsevier, 2024-04)[Abstract]: Introduction Artificial Intelligence (AI) chatbots are able to explain complex concepts using plain language. The aim of this study was to assess the accuracy of three AI chatbots answering common questions ... -
Artery/vein classification of blood vessel tree in retinal imaging
(SCITEPRESS – Science and Technology Publications, 2017)[Absctract]: Alterations in the retinal microcirculation are signs of relevant diseases such as hypertension, arteriosclerosis, or diabetes. Specifically, arterial constriction and narrowing were associated with early ... -
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies
(Springer, 2019-05-29)[Abstract]: An accurate identification of the retinal arteries and veins is a relevant issue in the development of automatic computer-aided diagnosis systems that facilitate the analysis of different relevant diseases that ... -
Automated inter-device 3D OCT image registration using deep learning and retinal layer segmentation
(Optica Publishing Group, 2023-07)[Abstract]: Optical coherence tomography (OCT) is the most widely used imaging modality in ophthalmology. There are multiple variations of OCT imaging capable of producing complementary information. Thus, registering these ... -
Automated segmentation of the central serous chorioretinopathy fluid regions using optical coherence tomography scans
(Institute of Electrical and Electronics Engineers Inc., 2021)[Abstract]: Central serous chorioretinopathy is one of the most frequent causes of vision impairment among middle-aged adults. Optical Coherence Tomography (OCT) is a non-invasive diagnostic technique that is commonly used ... -
Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training
(MDPI, 2018-09)[Abstract]: This work presents an automatic method to characterize the presence or absence of the epiretinal membrane (ERM) in Optical Coherence Tomography (OCT) images. To this end, a predefined set of classifiers is used ... -
Automatic Characterization of the serous Retinal Detachment Associated with the subretinal Fluid Presence in Optical Coherence Tomography Images
(Elsevier B.V., 2018)[Abstract]: An accurate detection of the macular edema (ME) presence constitutes a crucial ophthalmological issue as it provides useful information for the identification, diagnosis and treatment of different relevant ... -
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 ... -
Automatic Detection of Blood Vessels in Retinal OCT Images
(Springer Verlag, 2017-06)[Abstract]: The eye is a non-invasive window where clinicians can observe and study in vivo the retinal vasculature, allowing the early detection of different relevant pathologies. In this paper, we present a complete ...