Jorge
Novo Buján
Profesor Titular de Universidad
José Joaquim
De Moura Ramos
Profesor Ayudante Doctor
Publicaciones en las que colabora con José Joaquim De Moura Ramos (92)
2024
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3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis
JOURNAL OF IMAGING INFORMATICS IN MEDICINE
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Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images
Medical and Biological Engineering and Computing, Vol. 62, Núm. 7, pp. 2189-2212
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Are artificial intelligence chatbots a reliable source of information about contact lenses?
Contact Lens and Anterior Eye, Vol. 47, Núm. 2
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Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches
Biomedical Signal Processing and Control, Vol. 90
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Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning
Journal of Cataract and Refractive Surgery, Vol. 50, Núm. 1, pp. 37-42
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Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
Heliyon, Vol. 10, Núm. 20
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Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
Applied Soft Computing, Vol. 153
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Intra- and Inter-expert Validation of an Automatic Segmentation Method for Fluid Regions Associated with Central Serous Chorioretinopathy in OCT Images
JOURNAL OF IMAGING INFORMATICS IN MEDICINE, Vol. 37, Núm. 1, pp. 107-122
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Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Digital Health, Vol. 10
2023
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A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets
Medical and Biological Engineering and Computing, Vol. 61, Núm. 5, pp. 1093-1112
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Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios
IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 11, pp. 5483-5494
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Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Biomedical Signal Processing and Control, Vol. 84
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Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
Applied Intelligence, Vol. 53, Núm. 21, pp. 25897-25918
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Computerized tool for the automatic segmentation of DRT edemas using OCT scans
Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (Institute of Physics Publishing), pp. 1
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Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images
Procedia Computer Science
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Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Procedia Computer Science
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Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images
Computerized Medical Imaging and Graphics, Vol. 104
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Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders
Biomedical Signal Processing and Control, Vol. 79
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Integrando a linguaxe inclusiva no currículo universitario: un caso de estudo no Grao en Inglés da UDC
Epistemoloxías feministas en acción: VIII Xornada Universitaria Galega en Xénero
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Multivendor fully automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images
Medical and Biological Engineering and Computing, Vol. 61, Núm. 5, pp. 1209-1224