Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (ICIAR, 2008)

Vascular Landmark Detection in Retinal Images. - Marcos Ortega 001; José Rouco; Jorge Novo; Manuel G. Penedo (EUROCAST, 2009)

Genetic Approaches for the Automatic Division of Topological Active Volumes. - Jorge Novo; Noelia Barreira; Manuel G. Penedo; José Santos Reyes (IWINAC (2), 2009)

Localisation of the optic disc by means of GA-optimised Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (Image Vis. Comput., 2009)

Color Video Segmentation by Dissimilarity Based on Edges. - Lucía Ramos; Jorge Novo; José Rouco; Antonio Mosquera González; Manuel G. Penedo (HAIS (2), 2010)

Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms. - Jorge Novo; José Santos Reyes; Manuel G. Penedo; Alba Fernández (ICPR, 2010)

Sirius: A web-based system for retinal image analysis. - Marcos Ortega 001; Noelia Barreira; Jorge Novo; Manuel G. Penedo; Antonio Pose-Reino; Francisco Gómez-Ulla (Int. J. Medical Informatics, 2010)

Evolutionary multiobjective optimization of Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (Pattern Recognit. Lett., 2010)

Multiobjective Optimization of the 3D Topological Active Volume Segmentation Model. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (ICAART (1), 2011)

Optimization of Topological Active Nets with Differential Evolution. - Jorge Novo Buján; José Santos Reyes; Manuel G. Penedo (ICANNGA (1), 2011)

Differential Evolution Optimization of 3D Topological Active Volumes. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (IWANN (1), 2011)

Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation. - Cristina V. Sierra; Jorge Novo; José Santos Reyes; Manuel G. Penedo (KES, 2012)

Statistical Comparison of Classifiers Applied to the Interferential Tear Film Lipid Layer Automatic Classification. - Beatriz Remeseiro; Marta Penas; Antonio Mosquera González; Jorge Novo; Manuel Francisco González Penedo; Eva Yebra-Pimentel (Comput. Math. Methods Medicine, 2012)

Topological Active Models optimization with Differential Evolution. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (Expert Syst. Appl., 2012)

Topological Active Volume 3D segmentation model optimized with genetic approaches. - Jorge Novo; Noelia Barreira; Manuel Francisco González Penedo; José Santos Reyes (Nat. Comput., 2012)

Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images. - Luisa Sánchez 001; Jorge Novo; Alba Fernández; José María Barja (CBMS, 2013)

Cost Function Selection for a Graph-Based Segmentation in OCT Retinal Images. - Ana González 001; Manuel G. Penedo; Sonia González-Vázquez; Jorge Novo; Pablo Charlón (EUROCAST (2), 2013)

Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model. - Jorge Novo; Cristina V. Sierra; José Santos Reyes; Manuel G. Penedo (ICAART (Revised Selected Papers), 2013)

Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks. - Cristina V. Sierra; Jorge Novo; José Santos Reyes; Manuel G. Penedo (ICAART (2), 2013)

Multiobjective differential evolution in the optimization of topological active models. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (Appl. Soft Comput., 2013)

Automatic classification of the interferential tear film lipid layer using colour texture analysis. - Beatriz Remeseiro; Marta Penas; Noelia Barreira; Antonio Mosquera González; Jorge Novo; Carlos García-Resúa (Comput. Methods Programs Biomed., 2013)

On the use of a minimal path approach for target trajectory analysis. - Brais Cancela; Marcos Ortega 001; Manuel G. Penedo; Jorge Novo; Noelia Barreira (Pattern Recognit., 2013)

Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules. - Jorge Novo; José Rouco; Ana Maria Mendonça; Aurélio J. C. Campilho (ICIAR (2), 2014)

On the Automatic Normalization of Plaque Regions in Ultrasound Images of the Carotid. - José Rouco; Jorge Novo; Aurélio J. C. Campilho (ICIAR (2), 2014)

3D lung nodule candidate detection in multiple scales. - Jorge Novo; Luis Gonçalves; Ana Maria Mendonça; Aurélio J. C. Campilho (MVA, 2015)

Vessel Tree Extraction and Depth Estimation with OCT Images. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Noelia Barreira; Manuel G. Penedo (CAEPIA, 2016)

Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images. - Luis Gonçalves; Jorge Novo; Aurélio Campilho (ESANN, 2016)

Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images. - Luis Gonçalves; Jorge Novo; Aurélio Campilho (ICIAR, 2016)

3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Pablo Charlón (ICIAR, 2016)

Hessian based approaches for 3D lung nodule segmentation. - Luis Gonçalves; Jorge Novo Buján; Aurélio C. Campilho (Expert Syst. Appl., 2016)

Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography. - Joaquim de Moura; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (AIME, 2017)

Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Noelia Barreira; Manuel G. Penedo (EUROCAST (2), 2017)

Automatic Retinal Vascularity Identification and Artery/Vein Classification Using Near-Infrared Reflectance Retinographies. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Noelia Barreira; Pablo Charlón (VISIGRAPP (Revised Selected Papers), 2017)

Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images. - Sergio Baamonde; Joaquim de Moura; Jorge Novo; José Rouco; Marcos Ortega 001 (ICIAP (2), 2017)

Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach. - Gabriela Samagaio; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ICIAP (2), 2017)

Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns. - Sergio Baamonde; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (IWANN (1), 2017)

Automatic Detection of Blood Vessels in Retinal OCT Images. - Joaquim de Moura; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (IWINAC (2), 2017)

Automatic vessel detection by means of brightness profile characterization in OCT images. - Joaquim de Moura; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (KES, 2017)

Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography. - Joaquim de Moura; Plácido L. Vidal; Jorge Novo; José Rouco; Marcos Ortega 001 (KES, 2017)

Evaluation of the Degree of Malignancy of Lung Nodules in Computed Tomography Images. - Luis Gonçalves; Jorge Novo; António Cunha; Aurélio J. C. Campilho (VISIGRAPP (6: VISAPP), 2017)

Artery/vein Classification of Blood Vessel Tree in Retinal Imaging. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Noelia Barreira; Pablo Charlón (VISIGRAPP (4: VISAPP), 2017)

Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment. - Jorge Novo; A. Hermida; Marcos Ortega 001; Noelia Barreira; Manuel G. Penedo; J. E. López; C. Calvo (Comput. Methods Programs Biomed., 2017)

Enhanced visualization of the retinal vasculature using depth information in OCT. - Joaquim de Moura; Jorge Novo; Pablo Charlón; Noelia Barreira; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2017)

Automatic extraction of vascularity measurements using OCT-A images. - Macarena Díaz; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (KES, 2018)

Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (KES, 2018)

Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images. - Joaquim de Moura; Jorge Novo; Susana Penas; Marcos Ortega 001; Jorge Alves Silva; Ana Maria Mendonça (KES, 2018)

Multi-expert analysis and validation of objective vascular tortuosity measurements. - Lucía Ramos; Jorge Novo; José Rouco; S. Romeo; M. D. Álvarez; Marcos Ortega 001 (KES, 2018)

Automatic Segmentation of Diffuse Retinal Thickening Edemas Using Optical Coherence Tomography Images. - Gabriela Samagaio; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (KES, 2018)

Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (MICCAI (1), 2018)

Automatic Identification of Macular Edema in Optical Coherence Tomography Images. - Gabriela Samagaio; Aída Estévez; Joaquim de Moura; Jorge Novo; Marcos Ortega 001; María Isabel Fernández (VISIGRAPP (4: VISAPP), 2018)

Automatic macular edema identification and characterization using OCT images. - Gabriela Samagaio; Aída Estévez; Joaquim de Moura; Jorge Novo; María Isabel Fernández; Marcos Ortega 001 (Comput. Methods Programs Biomed., 2018)

Automatic segmentation of the Foveal Avascular Zone in ophthalmological OCT-A images. - Macarena Díaz; Jorge Novo; Paula Cutrín; Francisco Gómez-Ulla; Manuel G. Penedo; Marcos Ortega 001 (CoRR, 2018)

Detection of reactions to sound via gaze and global eye motion analysis using camera streaming. - Alba Fernández; Marcos Ortega 001; Joaquim de Moura; Jorge Novo; Manuel G. Penedo (Mach. Vis. Appl., 2018)

An end-to-end deep learning approach for simultaneous background modeling and subtraction. - Víctor Manuel Mondéjar-Guerra; José Rouco; Jorge Novo; Marcos Ortega 001 (BMVC, 2019)

Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans. - Iago Otero Coto; Plácido Francisco Lizancos Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ESANN, 2019)

Impact of the Circular Region of Interest on the Performance of Multimodal Reconstruction of Retinal Images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (EUROCAST (2), 2019)

Automatic ECG Screening as a Supporting Tool on a Telemedicine Framework. - Víctor Manuel Mondéjar-Guerra; Jorge Novo; José Rouco; Marcos Ortega 001; Manuel G. Penedo (EUROCAST (2), 2019)

Automatic Identification of Diabetic Macular Edema Biomarkers Using Optical Coherence Tomography Scans. - Joaquim de Moura; Gabriela Samagaio; Jorge Novo; Pablo Charlón; María Isabel Fernández; Francisco Gómez-Ulla; Marcos Ortega 001 (EUROCAST (2), 2019)

Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (EUROCAST (2), 2019)

Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Fully automatic multi-temporal land cover classification using Sentinel-2 image data. - Sergio Baamonde; Martiño Cabana; Neftalí Sillero; Manuel G. Penedo; Horacio Naveira; Jorge Novo (KES, 2019)

Automatic wide field registration and mosaicking of OCTA images using vascularity information. - Macarena Díaz; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (KES, 2019)

Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images. - Joaquim de Moura; Jorge Novo; Pablo Charlón; María Isabel Fernández; Marcos Ortega 001 (KES, 2019)

Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers. - Víctor Manuel Mondéjar-Guerra; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2019)

Automatic evaluation of eye gestural reactions to sound in video sequences. - Alba Fernández; Marcos Ortega 001; Joaquim de Moura; Jorge Novo; Manuel G. Penedo (Eng. Appl. Artif. Intell., 2019)

Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies. - Joaquim de Moura; Jorge Novo; José Rouco; Pablo Charlón; Marcos Ortega 001 (J. Digit. Imaging, 2019)

Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes. - Sergio Baamonde; Joaquim de Moura; Jorge Novo; Pablo Charlón; Marcos Ortega 001 (Sensors, 2019)

Automatic Identification and Representation of the Cornea-Contact Lens Relationship Using AS-OCT Images. - Pablo Cabaleiro; Joaquim de Moura; Jorge Novo; Pablo Charlón; Marcos Ortega 001 (Sensors, 2019)

Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies. - Macarena Díaz; Marta Díez-Sotelo; Francisco Gómez-Ulla; Jorge Novo; Manuel Francisco González Penedo; Marcos Ortega 001 (Sensors, 2019)

Multimodal Transfer Learning-Based Approaches for Retinal Vascular Segmentation. - José Morano; Álvaro S. Hervella; Noelia Barreira; Jorge Novo; José Rouco (ECAI, 2020)

Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images. - Álvaro S. Hervella; Lucía Ramos; José Rouco; Jorge Novo; Marcos Ortega 001 (ICASSP, 2020)

Modeling, Localization, and Segmentation of the Foveal Avascular Zone on Retinal OCT-Angiography Images. - Enrique J. Carmona; Macarena Díaz; Jorge Novo; Marcos Ortega 001 (IEEE Access, 2020)

Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices. - Joaquim de Moura; Lucía Ramos; Plácido Francisco Lizancos Vidal; Milena Cruz; Laura Abelairas López; Eva Castro Lopez; Jorge Novo; Marcos Ortega 001 (IEEE Access, 2020)

Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2020)

Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (Comput. Methods Programs Biomed., 2020)

Self-supervised multimodal reconstruction of retinal images over paired datasets. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2020)

Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images. - Joaquim de Moura; Gabriela Samagaio; Jorge Novo; Pablo Almuina; María Isabel Fernández; Marcos Ortega 001 (J. Digit. Imaging, 2020)

Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images. - Joaquim de Moura; Plácido L. Vidal; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (Sensors, 2020)

Automatic Detection of Freshwater Phytoplankton Specimens in Conventional Microscopy Images. - David Rivas-Villar; José Rouco; Manuel G. Penedo; Rafael Carballeira; Jorge Novo (Sensors, 2020)

Automatic Segmentation and Estimation of Ischemic Regions in Oct Angiography Scans. - Macarena Díaz; Plácido L. Vidal; Jorge Novo; Marcos Ortega 001; Manuel G. Penedo (CBMS, 2021)

Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Noelia Barreira; Manuel G. Penedo (CBMS, 2021)

Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images. - Plácido L. Vidal; Joaquim de Moura; Macarena Díaz; Jorge Novo; Marcos Ortega 001 (CBMS, 2021)

Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ESANN, 2021)

Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 Diagnosis. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ICASSP, 2021)

Context encoder self-supervised approaches for eye fundus analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2021)

Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches. - Mateo Gende; Joaquim de Moura; Jorge Novo; Pablo Charlón; Marcos Ortega 001 (IEEE Access, 2021)

Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images. - José Morano; Álvaro S. Hervella; Jorge Novo; José Rouco (Artif. Intell. Medicine, 2021)

Robust multimodal registration of fluorescein angiography and optical coherence tomography angiography images using evolutionary algorithms. - Javier Martínez-Río; Enrique J. Carmona; Daniel Cancelas; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2021)

Fully automatic detection and classification of phytoplankton specimens in digital microscopy images. - David Rivas-Villar; José Rouco; Rafael Carballeira; Manuel G. Penedo; Jorge Novo (Comput. Methods Programs Biomed., 2021)

Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2021)

Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images. - Daniel Iglesias Morís; José Joaquim de Moura Ramos; Jorge Novo Buján; Marcos Ortega Hortas (Expert Syst. Appl., 2021)

Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2021)

Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration. - Iván Barrientos; Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Manuel G. Penedo (EUROCAST, 2022)

Robust Deep Learning-Based Approach for Retinal Layer Segmentation in Optical Coherence Tomography Images. - Alejandro Budiño; Lucía Ramos; Joaquim de Moura; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (EUROCAST, 2022)

Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images. - Mateo Gende; Daniel Iglesias Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (EUROCAST, 2022)

Impact of Increased Centerline Weight on the Joint Segmentation and Classification of Arteries and Veins in Color Fundus Images. - José Morano; David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (EUROCAST, 2022)

Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening. - Daniel Iglesias Morís; Mateo Gende; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (EUROCAST, 2022)

Deep Features-Based Approaches for Phytoplankton Classification in Microscopy Images. - David Rivas-Villar; José Morano; José Rouco; Manuel G. Penedo; Jorge Novo (EUROCAST, 2022)

High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks. - Mateo Gende; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ICIAP (1), 2022)

Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA. - Emilio López-Varela; Jorge Novo; José Ignacio Fernández-Vigo; Francisco Javier Moreno-Morillo; Marcos Ortega 001 (ICIAP (1), 2022)

Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions. - José Morano; Álvaro S. Hervella; José Rouco; Jorge Novo; José Ignacio Fernández-Vigo; Marcos Ortega 001 (ICIAP (1), 2022)

Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ICIAP (1), 2022)

Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images. - Elena Goyanes; Joaquim de Moura; Jorge Novo; José Ignacio Fernández-Vigo; José Ángel Fernández-Vigo; Marcos Ortega 001 (IJCNN, 2022)

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. - Lorena Álvarez; Joaquim de Moura; Lucía Ramos; Jorge Novo; Marcos Ortega 001 (XoveTIC, 2022)

Multi-task Convolutional Neural Networks for the End-to-end Simultaneous Segmentation and Screening of the Epiretinal Membrane in OCT Images. - Mateo Gende; Joaquim de Moura; Jorge Novo; Manuel F. González Penedo; Marcos Ortega 001 (XoveTIC, 2022)

Web-based platform for the automatic analysis and visualization of vascular diagnostic markers in ophthalmological images. - José Morano; Álvaro S. Hervella; Jorge Novo; José Rouco (XoveTIC, 2022)

Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (XoveTIC, 2022)

Deep learning-based detection of domain-specific retinal landmarks for color fundus image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (XoveTIC, 2022)

Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices. - Plácido Francisco Lizancos Vidal; Joaquim de Moura; Lucía Ramos; Jorge Novo; Marcos Ortega 001 (XoveTIC, 2022)

End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2022)

Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images. - Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2022)

Multimodal image encoding pre-training for diabetic retinopathy grading. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2022)

Color fundus image registration using a learning-based domain-specific landmark detection methodology. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (Comput. Biol. Medicine, 2022)

End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images. - Mateo Gende; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Comput. Medical Imaging Graph., 2022)

Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Inf. Fusion, 2022)

Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes. - Emilio López-Varela; Plácido L. Vidal; Nuria Olivier Pascual; Jorge Novo; Marcos Ortega 001 (J. Digit. Imaging, 2022)

Feature definition and comprehensive analysis on the robust identification of intraretinal cystoid regions using optical coherence tomography images. - Joaquim de Moura; Plácido L. Vidal; Jorge Novo; José Rouco; Manuel G. Penedo; Marcos Ortega 001 (Pattern Anal. Appl., 2022)

Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Pattern Recognit. Lett., 2022)

Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Jaime S. Cardoso 001 (ICASSP, 2023)

Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (KES, 2023)

Explainable learning to analyze the outcome of COVID-19 patients using clinical data. - Daniel Olañeta; Daniel I. Morís; Joaquim de Moura; Pedro J. Marcos; Enrique Míguez Rey; Jorge Novo; Marcos Ortega 001 (KES, 2023)

Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2023)

Context encoder transfer learning approaches for retinal image analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2023)

Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. - José Morano; Álvaro S. Hervella; José Rouco; Jorge Novo; José Ignacio Fernández-Vigo; Marcos Ortega 001 (Comput. Methods Programs Biomed., 2023)

Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images. - Emilio López-Varela; Joaquim de Moura; Jorge Novo; José Ignacio Fernández-Vigo; Francisco Javier Moreno-Morillo; Marcos Ortega 001 (Comput. Medical Imaging Graph., 2023)

A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets. - Mateo Gende; Joaquim de Moura; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2023)

Multivendor fully automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2023)

Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models. - Daniel I. Morís; Joaquim de Moura; Pedro J. Marcos; Enrique Míguez Rey; Jorge Novo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2023)

Deformable registration of multimodal retinal images using a weakly supervised deep learning approach. - Javier Martínez-Río; Enrique J. Carmona; Daniel Cancelas; Jorge Novo; Marcos Ortega 001 (Neural Comput. Appl., 2023)

Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images. - Plácido L. Vidal; Joaquim de Moura; Pablo Almuina; María Isabel Fernández; Marcos Ortega 001; Jorge Novo (Appl. Intell., 2023)

Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios. - Mateo Gende; Víctor Mallen; Joaquim de Moura; Beatriz Cordón; Elena Garcia-Martin; Clara I. Sánchez; Jorge Novo; Marcos Ortega 001 (IEEE J. Biomed. Health Informatics, 2023)

Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Clara I. Sánchez; Marcos Ortega 001 (ECAI, 2024)

3D Point Cloud Analysis via Transformer-Based Graph Learning for Multiple Sclerosis Screening in OCT Images. - Lorena Álvarez-Rodríguez; Iván García Prego; Joaquim de Moura; Ana Pueyo; Elisa Vilades; Elena Garcia-Martin; Clara I. Sánchez; Jorge Novo; Marcos Ortega 001 (KES, 2024)

Fully-automatic end-to-end approaches for 3D drusen segmentation in Optical Coherence Tomography images. - Elena Goyanes; Saúl Leyva; Paula Herrero; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (KES, 2024)

Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images. - Lorena Álvarez-Rodríguez; Ana Pueyo; Joaquim de Moura; Elisa Vilades; Elena Garcia-Martin; Clara I. Sánchez; Jorge Novo; Marcos Ortega 001 (Artif. Intell. Medicine, 2024)

Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography. - Emilio López-Varela; Joaquim de Moura; Jorge Novo; José Ignacio Fernández-Vigo; Francisco Javier Moreno-Morillo; Julián García-Feijoó; Marcos Ortega 001 (Appl. Soft Comput., 2024)

Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches. - Elena Goyanes; Joaquim de Moura; José Ignacio Fernández-Vigo; José Ángel Fernández-Vigo; Jorge Novo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2024)

Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia. - Mateo Gende; Joaquim de Moura; Patricia Robles; José Ignacio Fernández-Vigo; José M. Martínez-de-la-Casa; Julián García-Feijoó; Jorge Novo; Marcos Ortega 001 (Comput. Medical Imaging Graph., 2024)

ConKeD++ - Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2024)

Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity. - Álvaro S. Hervella; Lucía Ramos; José Rouco; Jorge Novo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2024)

Multi-Adaptive Optimization for multi-task learning with deep neural networks. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Neural Networks, 2024)

Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2024)

ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (Medical Biol. Eng. Comput., 2024)

Evolutionary mosaicking for high-resolution wide-field optical coherence tomography angiography. - Javier Martínez-Río; Enrique J. Carmona; Daniel Cancelas; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2025)

Heatmap-guided balanced multi-task learning approach for glistening characterization in OCT images. - Lorena Álvarez-Rodríguez; Joaquim de Moura; José Ignacio Fernández-Vigo; Ana Macarro-Merino; José Ángel Fernández-Vigo; Jorge Novo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2025)

Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in OCT-A imaging. - Daniel I. Morís; Joaquim de Moura; Enrique J. Carmona; Jorge Novo; Marcos Ortega 001 (Pattern Recognit. Lett., 2025)

Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2025)

Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2025)

Domain-specific multi-transfer approaches for deep learning-based glaucoma screening in high myopia patients. - Elena Goyanes; Joaquim de Moura; Antoine Lelong; Patricia Robles-Amor; José M. Martínez-de-la-Casa; Javier Moreno-Montañes; Francisco J. Muñoz-Negrete; Ignacio Uña; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2026)