Listar por autor "Novo Buján, Jorge"
Mostrando ítems 1-20 de 73
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A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (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 Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
Mesejo, Pablo; Martos, Rubén; Ibáñez, Oscar; Novo Buján, Jorge; Ortega Hortas, Marcos (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
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (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 Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks
Moura, Joaquim de; Ramos, Lucía; Vidal, Plácido; Novo Buján, Jorge; Ortega Hortas, Marcos (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 ... -
Aplicación de IA en procesamiento de imágenes de Tomografía de Coherencia Óptica (OCT)
Fernández, María Isabel; Moura, Joaquim de; Almuina, Pablo; Novo Buján, Jorge; Ortega Hortas, Marcos; Penedo, Manuel (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. ... -
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies
Moura, Joaquim de; Novo Buján, Jorge; Rouco, J.; Charlón, Pablo; Ortega Hortas, Marcos (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 ... -
Automatic Detection of Freshwater Phytoplankton Specimens in Conventional Microscopy Images
Rivas-Villar, David; Rouco, J.; Penedo, Manuel; Carballeira, Rafael; Novo Buján, Jorge (MDPI AG, 2020-11-23)[Abstract] Water safety and quality can be compromised by the proliferation of toxin-producing phytoplankton species, requiring continuous monitoring of water sources. This analysis involves the identification and counting ... -
Automatic evaluation of eye gestural reactions to sound in video sequences
Fernández Arias, Alba; Ortega Hortas, Marcos; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel (Elsevier & International Federation of Automatic Control (IFAC), 2019-10)[Abstract]: Hearing loss is a common disorder that often intensifies with age. In some cases, especially in the elderly population, the hearing loss may decrease in physical, mental and social well-being capacities. In ... -
Automatic Identification and Characterization of the Epiretinal Membrane in OCT Images
Baamonde, Sergio; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (Optical Society of America, 2019-07-16)[Abstract] Optical coherence tomography (OCT) is a medical image modality that is used to capture, non-invasively, high-resolution cross-sectional images of the retinal tissue. These images constitute a suitable scenario ... -
Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes
Baamonde, Sergio; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (MDPI AG, 2019-11-29)[Abstract] Optical Coherence Tomography (OCT) is a medical image modality providing high-resolution cross-sectional visualizations of the retinal tissues without any invasive procedure, commonly used in the analysis of ... -
Automatic Identification and Representation of the Cornea–Contact Lens Relationship Using AS-OCT Images
Cabaleiro, Pablo; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (MDPI AG, 2019-11-21)[Abstract] The clinical study of the cornea–contact lens relationship is widely used in the process of adaptation of the scleral contact lens (SCL) to the ocular morphology of patients. In that sense, the measurement of ... -
Automatic Identification of Diabetic Macular Edema Using a Transfer Learning-Based Approach
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2019-07-31)[Abstract] This paper presents a complete system for the automatic identification of pathological Diabetic Macular Edema (DME) cases using Optical Coherence Tomography (OCT) images as source of information. To do so, the ... -
Automatic macular edema identification and characterization using OCT images
Samagaio, Gabriela; Estévez, Aída; Moura, Joaquim de; Novo Buján, Jorge; Fernández, María Isabel; Ortega Hortas, Marcos (Elsevier, 2018-09)[Abstract]: Background and objective: The detection and characterization of the intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provides useful information for the identification and ... -
Automatic Pipeline for Detection and Classification of Phytoplankton Specimens in Digital Microscopy Images of Freshwater Samples
Rivas-Villar, David; Rouco, J.; Carballeira, Rafael; Penedo, Manuel; Novo Buján, Jorge (MDPI, 2021)[Abstract] Phytoplankton blooming can compromise the quality of the water and its safety due to the negative effects of the toxins that some species produce. Therefore, the continuous monitoring of water sources is typically ... -
Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (IEEE, 2021)[Abstract] Epiretinal Membrane (ERM) is a disease caused by a thin layer of scar tissue that is formed on the surface of the retina. When this membrane appears over the macula, it can cause distorted or blurred vision. ... -
Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks
Gende, M.; Moura, Joaquim de; Novo Buján, Jorge; Charlón, Pablo; Ortega Hortas, Marcos (MDPI, 2021)[Abstract] The Epiretinal Membrane (ERM) is an ocular disease that appears as a fibro-cellular layer of tissue over the retina, specifically, over the Inner Limiting Membrane (ILM). It causes vision blurring and distortion, ... -
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches
Goyanes, Elena; Moura, Joaquim de; Fernández-Vigo, José Ignacio; Fernández-Vigo, José A.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2024-04)[Abstract]: Recent clinical studies have emphasized the importance of understanding the morphology and mechanics of the ciliary muscle. The ciliary muscle plays a vital role in various functions related to the anterior ... -
Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images
Otero, Iago; Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2019-08-01)[Abstract] The methodology presented in this paper aims to detect pathological regions affected by one or more of the three clinically defined types of Diabetic Macular Edema (DME). Using representative samples extracted ... -
Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies
Díaz González, Macarena; Diez Sotelo, Marta; Gómez-Ulla, Francisco; Novo Buján, Jorge; Penedo, Manuel; Ortega Hortas, Marcos (M D P I AG, 2019-10-31)[Abstract] Optical Coherence Tomography Angiography (OCTA) constitutes a new non-invasive ophthalmic image modality that allows the precise visualization of the micro-retinal vascularity that is commonly used to analyze ... -
Automatic Wide Field Registration and Mosaicking of OCTA Images Using Vascularity Information
Díaz González, Macarena; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier BV, 2019)[Abstract] Optical Coherence Tomography Angiography (OCTA) constitutes a novel ophthalmological image modality that is characterized for being a non-invasive capture technique that allows a profound analysis of the vascular ...