Listar GI-VARPA - Artigos por título

Mostrando ítems 5-24 de 75

    • 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. ...

    • Are artificial intelligence chatbots a reliable source of information about contact lenses? 

      García-Porta, Nery; Vaughan, Megan; Rendo-González, Sofia; Gómez-Varela, Ana I.; O'Donnell, Autumn; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (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 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 ...

    • Automated inter-device 3D OCT image registration using deep learning and retinal layer segmentation 

      Rivas-Villar, David; Motschi, Alice R.; Pircher, Michael; Hitzenberger, Christoph; Schranz, Markus; Roberts, Philipp K.; Schmidt-Erfurth, Ursula; Bogunović, Hrvoje (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 ...

    • 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 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 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 of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios 

      Gende, M.; Mallén Gracia, Victor; Moura, Joaquim de; Cordón Ciordia, Beatriz; García-Martín, Elena; Sánchez, Clara I.; Novo Buján, Jorge; Ortega Hortas, Marcos (IEEE, 2023-11)
      [Absctract]: Retinal Optical Coherence Tomography (OCT) allows the non-invasive direct observation of the central nervous system, enabling the measurement and extraction of biomarkers from neural tissue that can be helpful ...

    • Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images 

      Díaz González, Macarena; Novo Buján, Jorge; Cutrín, Paula; Gómez-Ulla, Francisco; Penedo, Manuel; Ortega Hortas, Marcos (Public Library of Science, 2019-02-22)
      [Abstract]: Angiography by Optical Coherence Tomography (OCT-A) is a non-invasive retinal imaging modality of recent appearance that allows the visualization of the vascular structure at predefined depths based on the ...

    • 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 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 ...

    • Automorphism groups of Cayley evolution algebras 

      Costoya, Cristina; Muñoz, Vicente; Tocino, Alicia; Viruel, Antonio (Springer, 2023-03-08)
      [Abstract]: In this paper we introduce a new species of evolution algebras that we call Cayley evolution algebras. We show that if a field k contains sufficiently many elements (for example if k is infinite) then every ...

    • Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact 

      Meiburger, Kristen M.; Zahnd, Guillaume; Faita, Francesco; Loizou, Christos P.; Carvalho, Catarina; Steinman, David A.; Gibello, Lorenzo; Bruno, Rosa Maria; Marzola, Francesco; Clarenbach, Ricarda; Francesconi, Martina; Nicolaides, Andrew; Campilho, Aurélio; Ghotbi, Reza; Kyriacou, Efthyvoulos; Navab, Nassir; Griffin, Maura; Panayiotou, Andrie; Gherardini, Rachele; Varetto, Gianfranco; Bianchini, Elisabetta; Pattichis, Constantinos; Ghiadoni, Lorenzo; Molinari, Filippo; Rouco, J.; Molinari, Filippo (Elsevier, 2021)
      [Abstract] Common carotid intima–media thickness (CIMT) is a commonly used marker for atherosclerosis and is often computed in carotid ultrasound images. An analysis of different computerized techniques for CIMT measurement ...

    • Color Fundus Image Registration Using a Learning-Based Domain-Specific Landmark Detection Methodology 

      Rivas-Villar, David; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge (Elsevier, 2022)
      [Abstract] Medical imaging, and particularly retinal imaging, allows to accurately diagnose many eye pathologies as well as some systemic diseases such as hypertension or diabetes. Registering these images is crucial to ...

    • Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning 

      Fernández-Vigo, José Ignacio; Macarro-Merino, Ana; Moura, Joaquim de; Álvarez-Rodríguez, Lorena; Burgos-Blasco, Barbara; Novo Buján, Jorge; Ortega Hortas, Marcos; Fernández-Vigo, José A. (Wolters Kluwer on behalf of ASCRS and ESCRS, 2024-01)
      Purpose: To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL). Setting: Centro Internacional de Oftalmología Avanzada (Madrid, ...

    • Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models 

      Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2023-07)
      [Abstract]: COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical ...