Books and Journals

Extended version

2023

  • D. Rivas-Villar, A. R. Motschi, M. Pircher, C. K. Hitzenberger, M. Schranz, P. K. Roberts, U. Schmidt-Erfurth, H. Bogunović, "Automated Inter-Device 3D OCT Image Registration using Deep Learning and Retinal Layer Segmentation", Biomedical Optics Express, 14, 3726--3747, 2023.
    [PDF]
  • Y. Zhou, M. A. Chia, S. K. Wagner, M. S. Ayhan, D. Williamson, R. Struyven, T. Liu, M. Xu, M. Gende, P. Woodward-Court, Y. Kihara, UK Biobank Eye & Vision Consortium, A. Altmann, A. Y. Lee, E. J. Topol, A. K. Denniston, D. Alexander, P. A. Keane, "A foundation model for diverse and generalizable disease detection from retinal images", Nature, 2023.
    [Abstract] [PDF] [+Info.]
  • E. López-Varela, J. de Moura, J. Novo, J. I. Fernández-Vigo, Javier Moreno Morillo, M. Ortega, "Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images", Computerized Medical Imaging and Graphics, 104, 102172, 2023.
    [Abstract] [PDF]
  • L. Raffa, O. Abudaowd, N. Bugshan, S. Fagih, L. Ramos, J. Novo, J. Rouco, M. Ortega, "Computer-assisted evaluation of retinal vessel tortuosity in moderate-to-late preterm children", European Journal of Ophthalmology, 2023.
    [Abstract] [PDF]
  • M. Gende, J. de Moura, J. I. Fernández-Vigo, J. M. Martinez-de-la-Casa, J. García-Feijóo, J. Novo, M. Ortega, "Robust Multi-view Approaches for Retinal Layer Segmentation in Glaucoma Patients via Transfer Learning", Quantitative Imaging in Medicine and Surgery, 13 (5), 2846-2859, 2023.
    [Abstract] [PDF] [+Info.]
  • J. Martinez-Rio, E. Carmona, D. Cancelas, J. Novo, M. Ortega, "Deformable registration of multimodal retinal images using a weakly-supervised deep learning approach", Neural Computing and Applications, 35, 14779–14797, 2023.
    [+Info.]
  • E. López-Varela, N. Barreira, N. Olivier, R. Arroyo, M. G. Penedo, "Generation of synthetic intermediate slices in 3D OCT cubes for improving pathology detection and monitoring", Computers in Biology and Medicine, 2023.
    [Abstract] [PDF]
  • P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "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, 79, 104098, 2023.
    [Abstract] [PDF] [+Info.]
  • D. I. Morís, A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Context Encoder Transfer Learning Approaches For Retinal Image Analysis", Computers in Biology and Medicine, 152, 106451, 2023.
    [Abstract] [PDF] [+Info.]
  • P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Multivendor fully-automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images", Medical & Biological Engineering & Computing, 1-16, 2023.
    [Abstract] [PDF] [+Info.]
  • L. Ramos, J. Carballo, N. Barreira, M. Ortega, "Análisis de similitud de marcas gráficas mediante técnicas de visión artificial y aprendizaje profundo", El derecho de marcas y de la competencia ante las tecnologías de vanguardia, 2023.
  • D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Joint keypoint detection and description network for color fundus image registration", Quantitative Imaging in Medicine and Surgery, 13, No. 7, 4540-4562, 2023.
    [PDF]
  • P. L. Vidal, J. de Moura, P. Almuiña, M. Fernández, M. Ortega, J. Novo, "Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images", Applied Intelligence, 1-22, 2023.
    [Abstract] [PDF]
  • I. Varela-Rey, E. Bandín, A. Blanco, P. Torán, B. Fariña, D. González, I. Barrientos, J. de Moura, I. Ferro, M. Barcia, C. García, M. Olmos, A. Fernandez, "NEmecum: digital tool to help the prescription and dispensation of enteral nutrition and infant nutrition formulas. Development, diffusion and analysis of results and usage data", Nutrición Hospitalaria, 40(5), 924-933, 2023.
    [Abstract] [+Info.]
  • D. I. Morís, J. de Moura, P. J. Marcos, E. Míguez-Rey, J. Novo, M. Ortega, "Comprehensive Analysis of Clinical Data for COVID-19 Outcome Estimation with Machine Learning Models", Biomedical Signal Processing and Control, 84, 104818, 2023.
    [Abstract] [PDF] [+Info.]
  • M. Gende, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "A New Generative Approach for Optical Coherence Tomography Data Scarcity: Unpaired Mutual Conversion between Scanning Presets", Medical & Biological Engineering & Computing, 2023.
    [Abstract] [PDF] [+Info.]
  • J. Morano, A. S. Hervella, J. Rouco, J. Novo, J. I. Fernández-Vigo, M. Ortega, "Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning", Computer Methods and Programs in Biomedicine, 229(107296), 1-20, 2023.
    [+Info.]
  • L. Ramos, J. de Moura, M. Ortega, J. Novo, "Desarrollo de competencias en visión artificial utilizando estrategias de aprendizaje cooperativo multiespecialidad con estudiantes de TFG", Contextos universitarios transformadores: a innovación como eixo vertebrador da docencia, 231-242, 2023.
    [PDF] [+Info.]

2022

  • D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Unsupervised Contrastive Unpaired Image Generation Approach for Improving Tuberculosis Screening using Chest X-ray Images", Pattern Recognition Letters, 2022.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. G. Penedo, M. Ortega, "Feature definition and comprehensive analysis on the robust identification of intraretinal cystoid regions using Optical Coherence Tomography images", Pattern Analysis and Applications, 1-15, 2022.
    [Abstract] [PDF] [+Info.]
  • M. Gende, J. de Moura, J. Novo, M. Ortega, "Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks", AI Applications for Disease Diagnosis and Treatment, 88-121, 2022.
    [Abstract] [PDF] [+Info.]
  • M. Gende, J. de Moura, J. Novo, M. Ortega, "End-to-End Multi-Task Learning Approaches for the Joint Epiretinal Membrane Segmentation and Screening in OCT Images", Computerized Medical Imaging and Graphics, 98, 102068, 2022.
    [Abstract] [PDF] [+Info.]
  • E. López-Varela, P. L. Vidal, N. Olivier, J. Novo, M. Ortega, "Fully-automatic 3D intuitive visualization of Age-related Macular degeneration fluid accumulations in OCT cubes", Journal of Digital Imaging, 2022.
    [Abstract] [PDF]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Multimodal image encoding pre-training for diabetic retinopathy grading", Computers in Biology and Medicine, 143, 105302, 2022.
    [Abstract] [PDF] [+Info.]
  • D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Color fundus image registration using a learning-based domain-specific landmark detection methodology", Computers in Biology and Medicine, 140, 2022.
    [Abstract] [PDF] [+Info.]
  • H. Pena-Verdeal, L. Ramos, C. García-Resúa, M. J. Giráldez, E. Yebra-Pimentel, "Validation of a New Software Application for Tear Breakup Measurement", Optom Vis Sci, 99, 159-166, 2022.
    [PDF]
  • J. I. Fernández-Vigo, V. Calleja, J. de Moura, J. Novo, B. Burgos-Blasco, Lorenzo López Guajardo, Juan Donate López, M. Ortega, "Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning", Photodiagnosis and Photodynamic Therapy, 40, 103107, 2022.
    [Abstract] [PDF] [+Info.]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Retinal microaneurysm detection using adversarial pre-training with unlabeled multimodal images", Information Fusion, 79, 146-161, 2022.
    [Abstract] [PDF] [+Info.]
  • L. Álvarez-Rodríguez, J. de Moura, J. Novo, M. Ortega, "Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?", BMC Medical Research Methodology, 22 (125), 1-17, 2022.
    [Abstract] [PDF] [+Info.]
  • D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Generation of Novel Synthetic Portable Chest X-ray Images for the Automatic COVID-19 Screening", AI Applications for Disease Diagnosis and Treatment, 248-281, 2022.
    [Abstract] [PDF]
  • K. M. Meiburger, F. Marzola, G. Zahnd, F. Faita, C. P. Loizou, N. Lainé, C. Carvalho, D. A. Steinman, L. Gibello, R. M. Bruno, R. Clarenbach, M. Francesconi, A. N. Nicolaides, H. Liebgott, A. Campilho, R. Ghotbi, E. Kyriacou, N. Navab, M. Griffin, A. G. Panayiotou, R. Gherardini, G. Varetto, E. Bianchini, C. S. Pattichis, L. Ghiadoni, J. Rouco, F. Molinari, "Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans", Computers in Biology and Medicine, 144 (105333), 2022.
    [PDF]
  • J. de Moura, J. Novo, M. Ortega, "Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images", Applied Soft Computing, 115, 108190, 2022.
    [Abstract] [PDF] [+Info.]
  • J. I. Fernández-Vigo, Javier Moreno Morillo, M. Ortega, E. López-Varela, J. Novo, B. Burgos-Blasco, Lorenzo López Guajardo, J. García-Feijóo, Juan Donate López, "Early changes in choriocapillaris flow voids as an efficacy biomarker of photodynamic therapy in central serous chorioretinopathy", Photodiagnosis and Photodynamic Therapy, 38, 102862, 2022.
    [Abstract] [PDF]
  • J. I. Fernández-Vigo, Javier Moreno Morillo, E. López-Varela, J. Novo, M. Ortega, B. Burgos-Blasco, Lorenzo López Guajardo, Juan Donate López, "Repeatability of choriocapillaris flow voids by optical coherence tomography angiography in central serous chorioretinopathy", Plos One, 17, e0279243, 2022.
    [Abstract] [PDF] [+Info.]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images", Applied Soft Computing, 116, 2022.
    [Abstract] [PDF] [+Info.]

2021

  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks", Generative Adversarial Networks for Image-to-Image Translation, 347-376, 2021.
    [Abstract] [PDF] [+Info.]
  • J. Morano, A. S. Hervella, J. Novo, J. Rouco, "Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images", Artificial Intelligence in Medicine, 118, 2021.
    [Abstract] [PDF] [+Info.]
  • K. M. Meiburger, G. Zahnd, F. Faita, C. P. Loizou, C. Carvalho, D. A. Steinman, L. Gibello, R. M. Bruno, F. Marzola, R. Clarenbach, M. Francesconi, A. N. Nicolaides, A. Campilho, R. Ghotbi, E. Kyriacou, N. Navab, M. Griffin, A. G. Panayiotou, R. Gherardini, G. Varetto, E. Bianchini, C. S. Pattichis, L. Ghiadoni, J. Rouco, F. Molinari, "Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima-Media Thickness Measurement Systems and Their Clinical Impact", Ultrasound in Medicine and Biology, 2021.
    [PDF]
  • J. Martinez-Rio, E. Carmona, D. Cancelas, J. Novo, M. Ortega, "Robust multimodal registration of fluorescein angiography and opticalcoherence tomography angiography images using evolutionary algorithms", Computers in Biology and Medicine, 134 (104529), 1-14, 2021.
    [Abstract] [PDF]
  • M. Gende, J. de Moura, J. Novo, P. Charlón, M. Ortega, "Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches", IEEE Access, 9, 75993 - 76004, 2021.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, L. Ramos, J. Novo, M. Ortega, "Estrategias para Mejorar la Participación de los Estudiantes en la Docencia Síncrona en Asignaturas del Máster Interuniversitario en Visión por Computador ", Contextos universitarios transformadores: a nova normalidade académica. Leccións aprendidas e retos de futuro, 143-153, 2021.
    [Abstract] [+Info.]
  • D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Data Augmentation Approaches using Cycle-Consistent Adversarial Networks for Improving COVID-19 Screening in Portable Chest X-ray Images", Expert Systems With Applications, 185, 115681, 2021.
    [Abstract] [PDF] [+Info.]
  • P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19", Expert Systems with Applications , 173, 114677, 2021.
    [Abstract] [PDF]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis", Expert Systems With Applications, 2021.
    [Abstract] [PDF] [+Info.]
  • D. Rivas-Villar, J. Rouco, M. G. Penedo, R. Carballeira, J. Novo, "Fully automatic detection and classification of phytoplankton specimens in digital microscopy images", Computer Methods and Programs in Biomedicine, 200, 105923, 2021.
    [Abstract] [PDF]

2020

  • M. Fernández, J. de Moura, P. Almuiña, J. Novo, M. Ortega, M. G. Penedo, "Aplicación de Inteligencia Artificial en Procesamiento de Imágenes de Tomografía de Coherencia Óptica (OCT) ", Inteligencia Artificial en Retina - Monografía de la Sociedad Española de Retina y Vítreo (SERV), 49-62, 2020.
    [+Info.]
  • A. S. Hervella, J. Rouco, J. Novo, M. G. Penedo, M. Ortega, "Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images", Computer Methods and Programs in Biomedicine, 186, 1-12, 2020.
    [Abstract] [PDF] [+Info.]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Self-supervised multimodal reconstruction of retinal images over paired datasets", Expert Systems With Applications, 161 (113674), 1-14, 2020.
    [Abstract] [PDF] [+Info.]
  • E. Carmona, M. Díaz, J. Novo, M. Ortega, "Modeling, localization and segmentation of the foveal avascular zone on retinal OCT-Angiography images", IEEE Access, 8, 15223-152238, 2020.
    [Abstract] [PDF] [+Info.]
  • P. L. Vidal, J. de Moura, M. Díaz, J. Novo, M. Ortega, "Diabetic Macular Edema characterization and visualization using Optical Coherence Tomography Images", Applied Sciences, 10, 1-23, 2020.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. G. Penedo, M. Ortega, "Intraretinal fluid pattern characterization in Optical Coherence Tomography images", Sensors, 20(7), 2004, 1-23, 2020.
    [Abstract] [PDF] [+Info.]
  • A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction", Applied Soft Computing, 91 (106210), 1-16, 2020.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, G. Samagaio, J. Novo, P. Almuiña, M. Fernández, M. Ortega, "Joint Diabetic Macular Edema segmentation and characterization in OCT images", Journal of Digital Imaging, 33, 1335–1351, 2020.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, L. Ramos, P. L. Vidal, M. Cruz, L. Abeilairas, E. Castro, J. Novo, M. Ortega, "Deep convolutional approaches for the analysis of Covid-19 using chest X-Ray images from portable devices", IEEE Access, 8, 195594-195607, 2020.
    [Abstract] [PDF] [+Info.]
  • J. de Moura, G. Samagaio, J. Novo, M. Fernández, F. Gómez-Ulla, M. Ortega, "Fully Automated Identification and Clinical Classification of Macular Edema Using Optical Coherence Tomography Images", Diabetes and Retinopathy - Computer-Assisted Diagnosis, 2, 45-67, 2020.
    [Abstract] [+Info.]
  • P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intraretinal Fluid Map Generation in Optical Coherence Tomography Images", Diabetes and Retinopathy - Computer-Assisted Diagnosis, 2, 19-43, 2020.
    [Abstract] [+Info.]
  • P. L. Vidal, J. de Moura, J. Novo, J. Rouco, M. Ortega, "Intraretinal Fluid Pattern Characterization", Scholarly Community Encyclopedia, 1-5, 2020.
    [Abstract] [PDF]
  • D. Rivas-Villar, J. Rouco, M. G. Penedo, R. Carballeira, J. Novo, "Automatic Detection of Fresh-water Phytoplankton Specimens in Conventional Microscopy Images", Sensors, 20, 2020.
    [Abstract] [PDF]
  • P. Mesejo, R. Martos, O. Ibáñez, J. Novo, M. Ortega, "A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-based Forensic Human Identification", Applied Sciences, 10, 4703, 2020.
    [Abstract] [PDF] [+Info.]

2019

  • S. Baamonde, J. de Moura, J. Novo, P. Charlón, M. Ortega, "Automatic identification and intuitive map representation of the Epiretinal Membrane presence in 3D OCT volumes", Sensors, 19, 1-17, 2019.
    [Abstract] [PDF] [+Info.]
  • L. Ramos, J. Novo, J. Rouco, S. Romeo, M. Álvarez, M. Ortega, "Computational assessment of the retinal vascular tortuosity integrating domain-related information", Scientific Reports, 9, 19940, 1-12, 2019.
    [Abstract] [PDF]
  • P. Cabaleiro, J. de Moura, J. Novo, P. Charlón, M. Ortega, "Automatic Identification and Representation of the Cornea–Contact Lens Relationship Using AS-OCT Images", Sensors, 19, 1-21, 2019.
    [Abstract] [PDF]
  • J. de Moura, J. Novo, J. Rouco, P. Charlón, M. Ortega, "Artery/vein vessel tree identification in near-infrared reflectance retinographies", Journal of Digital Imaging, 32(6), 947–962, 2019.
    [Abstract] [PDF] [+Info.]
  • M. Díaz, J. Novo, P. Cutrín, F. Gómez-Ulla, M. G. Penedo, M. Ortega, "Automatic segmentation of the Foveal Avascular Zone in ophthalmological OCT-A images", PLoS One, 14(2), e0212364, 2019.
    [Abstract] [PDF]
  • Marta Díez-Sotelo, M. Díaz, M. Abraldes, F. Gómez-Ulla, M. G. Penedo, M. Ortega, "A Novel Automatic Method to Estimate Visual Acuity and Analyze the Retinal Vasculature in Retinal Vein Occlusion Using Swept Source Optical Coherence Tomography Angiography", Journal of Clinical Medicine, 8 (10), 1-17, 2019.
    [Abstract] [PDF] [+Info.]
  • M. Díaz, Marta Díez-Sotelo, F. Gómez-Ulla, J. Novo, M. G. Penedo, M. Ortega, "Automatic visual acuity estimation by means of computational vascularity biomarkers using OCT Angiographies", Sensors, 19(21), 1-18, 2019.
    [Abstract] [PDF] [+Info.]
  • Paula Fraga-Lamas, L. Ramos, V. M. Mondejar-Guerra, Tiago M. Fernández-Caramés, "A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision~Avoidance", Remote Sensing, 11, 2019.
    [Abstract] [PDF]
  • A. Fernández, M. Ortega, J. de Moura, J. Novo, M. G. Penedo, "Automatic evaluation of eye gestural reactions to sound in video sequences", Engineering Applications of Artificial Intelligence, 85, 164-174, 2019.
    [Abstract] [PDF] [+Info.]
  • S. Baamonde, J. de Moura, J. Novo, P. Charlón, M. Ortega, "Automatic identification and characterization of the Epiretinal Membrane in OCT images", Biomedical Optics Express , 10 (8), 4018-4033, 2019.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, J. Tarrío-Saavedra, M. Francisco-Fernández, M. G. Penedo, S. Naya, R. Cao, "Automatic detection of defective crankshafts by image analysis and supervised classi fication", The International Journal of Advanced Manufacturing Technology, 1-17, 2019.
    [PDF]
  • A. González, J. de Moura, J. Novo, M. Ortega, M. G. Penedo, "Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model ", Heliyon, 5, e01271, 2019.
    [Abstract] [PDF] [+Info.]
  • V. M. Mondejar-Guerra, J. Novo, J. Rouco, M. G. Penedo, M. Ortega, "Heartbeat Classification of ECGs Fusing Temporal and Morphological Information via Ensemble of Classifiers", Biomedical Signal Processing & Control, 47, 41-48, 2019.
    [Abstract] [PDF]
  • J. de Moura, J. Novo, M. Ortega, N. Barreira, P. Charlón, "Automatic retinal vascularity identification and artery/vein classification using near-infrared reflectance retinographies", Computer Vision, Imaging and Computer Graphics - Theory and Applications, 983, 262-278, 2019.
    [Abstract] [PDF] [+Info.]

2018

  • L. Ramos, J. Novo, N. Barreira, J. Rouco, M. G. Penedo, M. Ortega, "Hydra, a computer based platform for aiding clinicians in the cardiovascular analysis and diagnosis", Jove-Journal of Visualized Experiments, e58132(139), 1-14, 2018.
    [Abstract] [PDF] [+Info.]
  • A. Fernández, M. Ortega, J. de Moura, J. Novo, M. G. Penedo, "Detection of reactions to sound via gaze and global eye motion analysis using camera streaming", Machine Vision and Applications, 29 (7), 1069-1082, 2018.
    [Abstract] [PDF] [+Info.]
  • G. Samagaio, A. Estévez, J. de Moura, J. Novo, M. Fernández, M. Ortega, "Automatic Macular Edema Identification and Characterization Using OCT Images", Computer Methods and Programs in Biomedicine, 163, 47-63, 2018.
    [Abstract] [PDF] [+Info.]
  • L. Sanchez, N. Barreira, A. Mosquera, H. Pena-Verdeal, E. Yebra-Pimentel, "Precise segmentation of the bulbar conjunctiva for hyperaemia images", Pattern Analysis and Applications, 21(2), 563-577, 2018.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, N. Barreira, L. Sanchez, L. Ramos, A. Mosquera, "Machine Learning Applied to Optometry Data", Holmes D., Jain L. (eds) Advances in Biomedical Informatics, Intelligent Systems Reference Library, 137, 123-160, 2018.
    [+Info.]
  • P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intraretinal fluid identification via enhanced maps using Optical Coherence Tomography images", Biomedical Optics Express, 9(10), 4730-4754, 2018.
    [Abstract] [PDF]
  • L. Ramos, J. Novo, J. Rouco, S. Romeo, M. Álvarez, M. Ortega, "Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements", BMC Medical Research Methodology, 18 (144), 1-11, 2018.
    [Abstract] [PDF] [+Info.]
  • A. Hermida-Ameijeiras, M. Ortega, J.E. Lopez-Paz, J. Novo, N. Barreira, M. G. Penedo, C. Calvo-Gomez, "Hydra: a web system for the analysis, diagnosis and treatment of cardiovascular diseases", Journal of Hypertension, 36, e264, 2018.
    [Abstract]
  • J. de Moura, J. Novo, J. Rouco, N. Barreira, M. G. Penedo, M. Ortega, "Retinal Vasculature Identification and Characterization Using OCT Imaging", OCT - Applications in Ophthalmology, 23-40, 2018.
    [Abstract] [PDF] [+Info.]
  • L. Gonçalves, J. Novo, A. Cunha, A. Campilho, "Learning lung nodule malignancy likelihood from radiologist annotations or diagnosis data", Journal of Medical and Biological Engineering, 2018.
    [Abstract] [PDF] [+Info.]

2017

  • T. Araújo, G. Aresta, E. Castro, J. Rouco, P. Aguiar, C. Eloy, A. Polónia, A. Campilho, "Classification of breast cancer histology images using Convolutional Neural Networks", PLoS One, 12(6), e0177544. https://doi.org/10.1371/journal.pone.0177544, 2017.
    [PDF]
  • D. Peteiro-Barral, B. Remeseiro, Rebeca Méndez, M. G. Penedo, "Evaluation of an Automatic Dry Eye Test using MCDM Methods and Rank Correlation", Medical & Biological Engineering & Computing, 55 (4), 527-536, 2017.
    [Abstract] [PDF] [+Info.]
  • J. Novo, J. Rouco, N. Barreira, M. Ortega, M. G. Penedo, A. Campilho, "Wivern: a web-based system enabling computer-aided diagnosis and interdisciplinary expert collaboration for vascular research", Journal of Medical and Biological Engineering, 37, 920–935, 2017.
    [Abstract] [+Info.]
  • J. de Moura, J. Novo, P. Charlón, N. Barreira, M. Ortega, "Enhanced visualization of the retinal vasculature using depth information in OCT", Medical & Biological Engineering & Computing, 55, 2209-2225, 2017.
    [PDF]
  • J. Novo, A. Hermida-Ameijeiras, M. Ortega, N. Barreira, M. G. Penedo, J.E. Lopez-Paz, C. Calvo-Gomez, "Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment", Computer Methods and Programs in Biomedicine, 139, 61-81, 2017.
    [PDF] [+Info.]
  • A. Hermida-Ameijeiras, J. Novo, M. Ortega, J. Rouco, J.E. Lopez-Paz, C. Calvo-Gomez, "Assessing the subclinical target organ damage of "white coat effect" in hypertensive patients with an online framework", Sylwan Journal, 161(6), 2017.
    [Abstract] [PDF]
  • M. G. Penedo, "New journal for great advances in Eye Care; Editorial Journal", Eye Care and Vision Journal, 1(1), 1-1, 2017.
    [PDF]
  • A. Hermida-Ameijeiras, J. Novo, M. Ortega, J.E. Lopez-Paz, C. Calvo-Gomez, "Mild-Obesity as a Cardiovascular Prognostic Marker", Obesity Diagnosis and Treatment, 2017.
    [PDF]

2016

  • B. Remeseiro, A. Mosquera, M. G. Penedo, "CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps", IEEE Journal of Biomedical and Health Informatics, 20(3), 936-943, 2016.
    [Abstract] [PDF] [+Info.]
  • H. Pena-Verdeal, C. García-Resúa, L. Ramos, E. Yebra-Pimentel, M. J. Giráldez, "Diurnal variations in tear film break-up time determined in healthy subjects by software-assisted interpretation of tear film video recordings", Clinical and Experimental Optometry, 99(2), 142-148, 2016.
    [Abstract] [PDF]
  • L. Sanchez, N. Barreira, A. Mosquera, K. Evans, H. Pena-Verdeal, "Defining the optimal region of interest for hyperemia grading in the bulbar conjunctiva", Computational and Mathematical Methods in Medicine, 2016, Article ID 3695014, 1-9, 2016.
    [Abstract] [PDF]
  • L. Sanchez, N. Barreira, N. Sánchez-Maroño, A. Mosquera, C. García-Resúa, M.J. Giráldez, "On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings", Artificial Intelligence in Medicine, 71, 30-42, 2016.
    [Abstract] [PDF]
  • A. Fernández, M. Ortega, M. G. Penedo, C. Vazquez, LM Gigirey, "A Methodology for the Analysis of Spontaneous Reactions in Automated Hearing Assessment", IEEE Journal of Biomedical and Health Informatics, 20(1), 376-387, 2016.
    [Abstract] [PDF]
  • L. Gonçalves, J. Novo, A. Campilho, "Hessian based approaches for 3D lung nodule segmentation", Expert Systems with Applications, 61, 1-15, 2016.
    [+Info.]
  • J. Rouco, E. Azevedo, A. Campilho, "Automatic Lumen Detection on Longitudinal Ultrasound B-Mode Images of the Carotid Using Phase Symmetry", Sensors, 16(3), 350, 2016.
  • H. Pena-Verdeal, C. García-Resúa, N. Barreira, M. J. Giráldez, E. Yebra-Pimentel, "Interobserver variability of an open-source software for tear meniscus height measurement", Contact Lens and Anterior Eye, 39 (4), 8, 2016.
    [PDF]
  • B. Remeseiro, N. Barreira, C. García-Resúa, M. Lira, M. J. Giráldez, E. Yebra-Pimentel, M. G. Penedo, "iDEAS: a web-based system for dry eye assessment", Computer Methods and Programs in Biomedicine, 130, 186-197, 2016.
    [Abstract] [PDF] [+Info.]

2015

  • L. Ramos, N. Barreira, H. Pena-Verdeal, M.J. Giráldez, E. Yebra-Pimentel, "Computational approach for tear film assessment based on break-up dynamics", Biosystems Engineering , 138, 90-103, 2015.
    [Abstract] [PDF] [+Info.]
  • A. González, M. Ortega, M. G. Penedo, P. Charlón, "A Web-based Framework for Anatomical Assessment of the Retina Using OCT", Biosystems Engineering, 138, 44-58, 2015.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, K.M. Oliver, A. Tomlinson, E. Martin, N. Barreira, A. Mosquera, "Automatic grading system for human tear films", Pattern Analysis and Applications, 18 (3), 677-694, 2015.
    [Abstract] [PDF] [+Info.]

2014

  • C. García-Resúa, H. Pena-Verdeal, B. Remeseiro, M.J. Giráldez, E. Yebra-Pimentel, "Correlation between tear osmolarity and tear meniscus", Optometry and Vision Science, 91 (12), 1419-1429, 2014.
    [Abstract] [PDF] [+Info.]
  • A. Pose-Reino, M. Pena-Seijo, J.L. Díaz, J. Díaz-Peromingo, M. Suárez, R. Monte-Secades, S. G. Vázquez, M. G. Penedo, I. Mendez-Naya, J.C. Estévez, G. Coll de Tuero, F. Gómez-Ulla, "Factors associated with changes in retinal microcirculation after antihypertensive treatment", Journal of Human Hypertension, 28(5), 310-315, 2014.
    [Abstract] [PDF] [+Info.]
  • J. Novo, C. De La Vega, J. Santos, M. G. Penedo, "Using evolved artificial neural networks for providing an emergent segmentation with an active net model", Recent Advances in Knowledge-based Paradigms and Applications (Book Chapter), Series: Advances in Intelligent Systems and Computing, 234, Chapter 4, 57-72, 2014.
    [Abstract] [PDF] [+Info.]
  • C. Mariño, M. Ortega, J. Novo, B. Remeseiro, A. Fernández, F. Gómez-Ulla, "Automatic analysis of scanning laser ophthalmoscope sequences for arteriovenous passage time measurement", Ophthalmological Imaging and Applications, Chapter 13, 221-236, 2014.
    [PDF] [+Info.]
  • B. Cancela, M. Ortega, M. G. Penedo, "Multiple Human Tracking System for Unpredictable Trajectories", Machine Vision and Applications, 25(2), 511-527, 2014.
    [Abstract] [PDF]
  • B. Remeseiro, M. G. Penedo, C. García-Resúa, E. Yebra-Pimentel, A. Mosquera, "Dry Eye Characterization by Analyzing Tear Film Images", Ophthalmological Imaging and Applications, Chapter 23, 449-475, 2014.
    [Abstract] [PDF] [+Info.]
  • G. Coll de Tuero, S. G. Vázquez, M. A. Barceló, M. G. Penedo, A. Pose-Reino, M. Pena-Seijo, M. Saez, "Retinal arteriole-to-venule ratio changes and target organ disease evolution in newly diagnosed hypertensive patients at 1-year follow-up", Journal of the American Society of Hypertension, 8(2), 83-93, 2014.
    [PDF] [+Info.]
  • N. Barreira, M. G. Penedo, S. G. Vázquez, L. Ramos, B. Cancela, A. González, "Automatic analysis of the microaneurysm turnover in a web based framework for retinal analysis", Image Analysis and Modeling in Ophthalmology, Chapter 6, 111-128, 2014.
    [PDF] [+Info.]
  • M. G. Penedo, B. Remeseiro, L. Ramos, N. Barreira, C. García-Resúa, E. Yebra-Pimentel, A. Mosquera, "Automatization of Dry Eye Syndrome Tests", Image Analysis and Modeling in Ophthalmology, Chapter 16, 293-320, 2014.
    [Abstract] [PDF] [+Info.]
  • M. G. Penedo, S. G. Vázquez, N. Barreira, M. Saez, A. Pose-Reino, M. Rodríguez-Blanco, "Arteriovenous Ratio Calculation using Image Processing Techniques", Image Analysis and Modeling in Ophthalmology. CRC Press (Taylor & Francis)., Chapter 12, 203-225, 2014.
    [PDF] [+Info.]
  • L. Ramos, N. Barreira, A. Mosquera, M. G. Penedo, E. Yebra-Pimentel, C. García-Resúa, "Analysis of parameters for the automatic computation of the tear film Break-Up Time test based on CCLRU standards", Computer Methods and Programs in Biomedicine, 113(3), 715–724, 2014.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, V. Bolón-Canedo, D. Peteiro-Barral, A. Alonso-Betanzos, B. Guijarro-Berdiñas, A. Mosquera, M. G. Penedo, N. Sánchez-Maroño, "A Methodology for Improving Tear Film Lipid Layer Classification", IEEE Journal of Biomedical and Health Informatics, 18 (4), 1485-1493, 2014.
    [Abstract] [PDF] [+Info.]
  • A. González, B. Remeseiro, M. Ortega, M. G. Penedo, P. Charlón, "Cyst detection in OCT images for pathology characterization", Ophthalmological Imaging and Applications, Chapter 17, 315-332, 2014.
    [PDF] [+Info.]
  • C. Vazquez, LM Gigirey, A. Fernández, M. Ortega, M. G. Penedo, "Detection of unconscious eye movements to check audiometric thresholds (Pilot study)", European Geriatric Medicine, 5(S1), S156, 2014.
    [Abstract] [PDF] [+Info.]

2013

  • J. Novo, J. Santos, M. G. Penedo, "Multiobjective Differential Evolution in the Optimization of Topological Active Models", Applied Soft Computing, 13(6), 3167-3177, 2013.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, M. Penas, N. Barreira, A. Mosquera, J. Novo, C. García-Resúa, "Automatic classification of the interferential tear film lipid layer using colour texture analysis", Computer Methods and Programs in Biomedicine, 111, 93-103, 2013.
    [Abstract] [PDF] [+Info.]
  • L. Ramos, N. Barreira, A. Mosquera, M. Currás, H. Pena-Verdeal, M. J. Giráldez, M. G. Penedo, "Computational Approach for Measuring the Tear Film Break-Up Time in an unsupervised Manner", Advanced Techniques for Knowledge Engineering and Innovative Applications, 246, 254-267, 2013.
    [Abstract] [PDF] [+Info.]
  • B. Cancela, M. Ortega, M. G. Penedo, J. Novo, N. Barreira, "On the Use of a Minimal Path Approach for Target Trajectory Analysis", Pattern Recognition, 46 (7), 2015 - 2027, 2013.
    [Abstract] [PDF]
  • S. G. Vázquez, B. Cancela, N. Barreira, M. G. Penedo, M. Rodríguez-Blanco, M. Pena-Seijo, G. Coll de Tuero, M. A. Barceló, M. Saez, "Improving retinal artery and vein classification by means of a minimal path approach", Machine Vision and Applications, 24(5), 919-930, 2013.
    [Abstract] [PDF] [+Info.]
  • S. G. Vázquez, N. Barreira, M. G. Penedo, M. Rodríguez-Blanco, "Reliable monitoring system for arteriovenous ratio computation", Computerized Medical Imaging and Graphics , 37(5-6), 337-345, 2013.
    [Abstract] [PDF] [+Info.]
  • M. Ortega, A. González, M. G. Penedo, P. Charlón, "Implementation and Optimization of a Method for Retinal Layer Extraction and Reconstruction in Optical Coherence Tomography Images", Medical Applications of Artificial Intelligence, Chapter 12, 175-191, 2013.
    [PDF] [+Info.]
  • C. García-Resúa, M. J. Giráldez, M. G. Penedo, D. Calvo, M. Penas, E. Yebra-Pimentel, "New software application for clarifying tear film layer patterns", Cornea, 32(4), 538-546, 2013.
    [Abstract] [PDF] [+Info.]
  • B. Cancela, M. Ortega, A. Fernández, M. G. Penedo, "Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios", Expert Systems with Applications, 40(4), 1116 - 1131, 2013.
    [Abstract] [PDF]

2012

  • C. Mariño, J. Novo, N. Barreira, M. G. Penedo, "Preventing diabetic retinopathy: red lesions detection in early stages", Diabetic Retinopathy, Publisher: InTech Open Access Publishing (Croatia), Edited by: Mohammad Shamsul Ola, ISBN: 978-953-51-0044-7, 249 - 270, 2012.
    [Abstract] [PDF] [+Info.]
  • J. Novo, J. Santos, M. G. Penedo, "Topological Active Models Optimization with Differential Evolution", Expert Systems with Applications, 39, 12165–12176, 2012.
    [Abstract] [PDF] [+Info.]
  • C. De La Vega, J. Novo, J. Santos, M. G. Penedo, "Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation", Frontiers in Artificial Intelligence and Applications, 243, 1380-1389, 2012.
    [Abstract] [+Info.]
  • A. Fernández, M. Ortega, B. Cancela, M. G. Penedo, C. Vazquez, LM Gigirey, "Automatic processing of audiometry sequences for objective screening of hearing loss", Expert Systems with Applications, 39, 12683–12696, 2012.
    [Abstract] [PDF] [+Info.]
  • J. Novo, R. Merrifield, L. Wang, G.Z. Yang, "Automatic Localisation of Landmark Points in CMR Images using a Cyclic Motion Mask", Journal of cardiovascular magnetic resonance, 14(1), 1-2, 2012.
    [Abstract] [PDF] [+Info.]
  • M. Saez, S. G. Vázquez, M. G. Penedo, M. A. Barceló, M. Pena-Seijo, G. Coll de Tuero, A. Pose-Reino, "Development of an automated system to classify retinal vessels into arteries and veins ", Computer Methods and Programs in Biomedicine, 108, 367-376, 2012.
    [Abstract] [PDF] [+Info.]
  • J. Novo, N. Barreira, M. G. Penedo, J. Santos, "Topological Active Volume 3D Segmentation Model Optimized with Genetic Approaches", Natural Computing, 11, 161-174, 2012.
    [Abstract] [PDF] [+Info.]
  • L. Ramos, N. Barreira, A. Mosquera, M. Currás, H. Pena-Verdeal, M.J. Giráldez, M. G. Penedo, "Adaptive parameter computation for the automatic measure of the Tear Break-Up Time", Frontiers in Artificial Intelligence and Applications, 243, 1370 - 1379, 2012.
    [Abstract] [PDF] [+Info.]
  • B. Remeseiro, M. Penas, A. Mosquera, J. Novo, M. G. Penedo, E. Yebra-Pimentel, "Statistical comparison of classifiers applied to the interferential tear film lipid layer automatic classification", Computational and Mathematical Methods in Medicine, 2012, art. 207315, 1-10, 2012.
    [Abstract] [PDF] [+Info.]

2011

  • H. Dibeklioglu, M. Ortega, I. Kosunen, P. Zuzanek, A.A. Salah, T. Gevers, "Design and Implementation of an Affect-Responsive Interactive Photo Frame", Journal on Multimodal User Interfaces, 4 (2), 81-95, 2011.
    [Abstract] [PDF] [+Info.]
  • A. Mosquera, M. J. Carreira, M. G. Penedo, "Recuperación de Imagen", Recuperación de Información. Un enfoque práctico y multidisciplinar (Book Chapter), 547-582, 2011.
    [Abstract] [PDF] [+Info.]
  • C. Mariño, M. Ortega, N. Barreira, M. G. Penedo, M. J. Carreira, F. González, "Algorithm for Registration of Full Scanning Laser Ophtalmoscope video sequences", Computer Methods and Programs in Biomedicine, 102(1), 1-16, 2011.
    [Abstract] [PDF] [+Info.]
  • J. Rouco, A. Mosquera, M. G. Penedo, M. Ortega, M. Penas, "Texture description in local scale using texton histograms with quadrature filter universal dictionaries", IET Computer Vision, 5(4), 211-221, 2011.
    [Abstract] [PDF] [+Info.]
  • M. Ortega, M. G. Penedo, "Retinal vessel tree as biometric pattern", Biometrics (Book Chapter), 113-138, 2011.
    [PDF] [+Info.]
  • M. Ortega, "Biometric authentication using the retinal vessel tree", Ed. Lambert Academic Publishing. ISBN 978-3-8443-1845-6 (Book), 184 pp., 2011.
  • D. Calvo, M. Ortega, M. G. Penedo, J. Rouco, "Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images", Computer Methods and Programs in Biomedicine, 103, 28-38, 2011.
    [Abstract] [PDF] [+Info.]
  • A. Fernández, M. Ortega, B. Cancela, M. G. Penedo, "Contextual and Skin Color Region Information for Locating Human Body Parts", Journal of Computer and Information Technology, 1(1), 1-16, 2011.
    [Abstract] [PDF] [+Info.]
  • C. Vidal, G. Pérez, F. Aguado-Martín, J.M. Molinelli, "Crossover operators for permutations equivalence between position and order-based crossover", Logic Journal of the IGPL, 19(2), 405-414, 2011.
    [+Info.]
  • M. Pena-Seijo, M. G. Penedo, M. Ortega, S. G. Vázquez, F. Gómez-Ulla, A. Pose-Reino, "SIRIUS, Computerized Tool for Automatic Analysis of Retinal Microcirculation", Journal of Hypertension, 29, e202, 2011.
    [Abstract] [PDF]
  • M. Pena-Seijo, J.L. Díaz, J. Díaz-Peromingo, M. Suárez, R. Monte-Secades, M. G. Penedo, I. Mendez-Naya, A. Hermida-Ameijeiras, J.E. Lopez-Paz, C. Calvo-Gomez, F. Gómez-Ulla, A. Pose-Reino, "RETINAL MICROCIRCULATION IMPROVEMENT AFTER THE CONTROL OF BLOOD PRESSURE WITH ARB-II IN HYPERTENSIVE PATIENTS", Journal of Hypertension, 29, e198, 2011.
    [PDF]

2010

  • M. Pena-Seijo, S. G. Vázquez, A. Pose-Reino, J.L. Díaz, M. Suárez, M. G. Penedo, R. Monte-Secades, J.C. Estévez, "COMPARISON SEMI-AUTOMATIC METHOD BASED ON SNAKE MODEL VS LINEAR MODEL TO STUDY OF HYPERTENSIVE RETINOPATHY", JOURNAL OF HYPERTENSION, 28, e495, 2010.
    [PDF]
  • N. Barreira, M. Ortega, J. Rouco, M. G. Penedo, A. Pose-Reino, C. Mariño, "Semi-automatic Procedure for the Computation of the Arteriovenous Ratio in Retinal Images", International Journal for Computational Vision and Biomechanics, 3 (2), 135-147, 2010.
    [Abstract] [PDF] [+Info.]
  • M. Ortega, N. Barreira, J. Novo, M. G. Penedo, A. Pose-Reino, F. Gómez-Ulla, "SIRIUS: A Web-based system for retinal image analysis", International Journal of Medical Informatics, 79(10), 722-732, 2010.
    [Abstract] [PDF] [+Info.]
  • J. Novo, M. G. Penedo, J. Santos, "Evolutionary Multiobjective Optimization of Topological Active Nets ", Pattern Recognition Letters, 31(13), 1781–1794, 2010.
    [Abstract] [PDF] [+Info.]
  • A. Pose-Reino, M. Pena-Seijo, M. G. Penedo, M. Ortega, M. Rodríguez-Blanco, P. Vega, J.L. Díaz, N. Fernández, J.C. Estévez, F. Gómez-Ulla, "Determinación del calibre vascular retiniano en hipertensos con un método semiautomático basado en el modelo de snakes", Medicina Clínica, 135(4), 145-150, 2010.
    [Abstract] [PDF] [+Info.]
  • M. Pena-Seijo, R. Monte-Secades, A. Pose-Reino, M. Suárez, F. Gómez-Ulla, M. G. Penedo, "HYPERTENSION CONTROL WITH TELMISARTAN IMPROVE RETINAL MICROCIRCULATION", JOURNAL OF HYPERTENSION, 28, E178-E178, 2010.
    [PDF]
  • N. Barreira, M. G. Penedo, L. D. Cohen, M. Ortega, "Topological Active Volumes: a Topology-Adaptive Deformable Model for Volume Segmentation", Pattern Recognition, 43, 255-266, 2010.
    [Abstract] [PDF] [+Info.]
  • S. G. Vázquez, N. Barreira, M. G. Penedo, M. Ortega, A. Pose-Reino, "Improvements in Retinal Vessel Clustering Techniques:Towards the Automatic Computation of the Arterio Venous Ratio", Computing, 90(3-4), 197-217, 2010.
    [Abstract] [PDF] [+Info.]

2009

  • M. Ortega, M. G. Penedo, J. Rouco, N. Barreira, M. J. Carreira, "Retinal verification using a feature points-based biometric pattern", EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 235746, 13 pp., 2009.
    [Abstract] [PDF] [+Info.]
  • J. Novo, M. G. Penedo, J. Santos, "Localisation of the Optic disc by means of GA-Optimised Topological Active Nets", Image and Vision Computing, 27, 1572-1584, 2009.
    [Abstract] [PDF] [+Info.]
  • M. Ortega, M. G. Penedo, J. Rouco, N. Barreira, M. J. Carreira, "Personal verification based on extraction and characterisation of retinal feature points", Journal of Visual Languages and Computing, 20(2), 80-90, 2009.
    [Abstract] [PDF] [+Info.]
  • M. Pena-Seijo, M. Rodríguez-Fernández, M. G. Penedo, F. Gómez-Ulla, A. Pose-Reino, "Retinopatía Hipertensiva. ¿Se puede prevenir y tratar? (Artículo de revisión)", Clínica en Hipertensión, 1(1), 7-25, 2009.
    [PDF]
  • O. Ibáñez, N. Barreira, J. Santos, M. G. Penedo, "Genetic Approaches for Topological Active Nets Optimization", Pattern Recognition, 42, 907-917, 2009.
    [Abstract] [PDF] [+Info.]

2008

  • M. Penas, M. G. Penedo, M. J. Carreira, "A neural network based framework for directional primitive extraction", Neural Processing Letters, 27, 67-83, 2008.
    [Abstract] [PDF] [+Info.]
  • C. Mariño, S. Pena, M. G. Penedo, M. Ortega, J. Rouco, A. Pose-Reino, M. Pena-Seijo, "Macula precise localization using digital retinal angiographies", WSEAS Transactions on Computer Research, Publisher: WSEAS Press (Greece), ISSN: 1991-8755, 3 (1), 43-50, 2008.
    [Abstract] [PDF]
  • F. Aguado-Martín, J. L. Doncel, J.M. Molinelli, G. Pérez, C. Vidal, "Genetic Algorithms in Coq: Generalization and Formalization of the Crossover Operator", Journal of Formalized Reasoning, 1 (1), 25-37, 2008.
    [PDF]
  • C. Mariño, M. G. Penedo, J. Rouco, M. Ortega, A. Pose-Reino, "Medical Web Application For The Evaluation of Changes in Retinal Microcirculation", Computational Engineering in Systems Applications; Publisher: WSEAS Press (Greece); ISSN: 1790-2769, 113-119, 2008.
    [Abstract] [PDF] [+Info.]
  • M. Bicego, L. Brodo, M. Ortega, M. Tistarelli, "On the quantitative estimation of short-term aging in human faces", University of Sassari - Technical Report, CVL 2008/002, 13, 2008.
    [Abstract] [PDF]
  • C. Mariño, E. Ares, M. G. Penedo, M. Ortega, N. Barreira, F. Gómez-Ulla, "Automated three stage red lesions detection in digital color fundus images", WSEAS Transactions on Computers; Publisher: WSEAS Press (Greece); ISSN: 1109-2750, 7 (4), 207-215, 2008.
    [Abstract] [PDF]
  • C. Alonso-Montes, D. L. Vilarino, P. Dudek, M. G. Penedo, "Fast Retinal Vessel Tree Extraction: A Pixel Parallel Approach", International Journal of Circuit Theory and Applications (Special Issue Cellular Wave Computing Architectures), 36, 641-651, 2008.
    [Abstract] [PDF] [+Info.]

2007

  • C. Mariño, N. Barreira, M. G. Penedo, M. Ortega, J. L. Doncel, F. Gómez-Ulla, "Two stages optic disc segmentation in digital retinal images", WSEAS Transactions on Information Science and Applications, Publisher: WSEAS Press (Greece), ISSN: 1790-0832, 4 (4), 771-778, 2007.
    [Abstract] [PDF] [+Info.]
  • M. Penas, M. J. Carreira, M. G. Penedo, N. Barreira, "Comparison of Alternative Frameworks for Directional Primitive Extraction", Pattern Recognition and Image Analysis, 17(4), 439-449, 2007.
    [Abstract] [PDF] [+Info.]

2006

  • J. M. Cardesín, M. G. Penedo, "The Role of Multimedia Websites in Teaching and Research", Teaching Urban History in Europe (Book Chapter), series: Essays in Urban History, 121-131, 2006.
    [PDF] [+Info.]
  • C. Mariño, M. G. Penedo, M. Penas, M. J. Carreira, F. González, "Personal authentication using digital retinal images", Pattern Analysis and Applications, 9, 21-33, 2006.
    [Abstract] [PDF] [+Info.]
  • S. Pan, G. Shavit, M. Penas, D. Xu, L. Shapiro, R. Ladner, E. Riskin, W. Hol, D. Meldrum, "Automated classification of protein crystallization images using support vector machines with scale-invariant texture and Gabor features", Acta Crystallographica Section D - Biological Crystallography, D62, 271-279, 2006.
    [PDF]
  • M. Ortega, C. Mariño, M. G. Penedo, M. Blanco, F. González, "Personal Authentication Based on Feature Extraction and Optica Nerve Location in Digital Retinal Images", WSEAS Transactions on Computers, Publisher: WSEAS Press (Greece), ISSN: 1109-2750, 5(6), 1169-1176, 2006.
    [Abstract] [PDF] [+Info.]
  • L. Espona, M. J. Carreira, M. G. Penedo, "Vascular tree detection system for retinal angiographies: A snake model approach", WSEAS Transactions on Computers, 5(10), 2285-2292, 2006.
    [PDF] [+Info.]

2005

  • I. G. Caderno, M. G. Penedo, N. Barreira, C. Mariño, F. González, "Precise Detection and Measurement of the Retina Vascular Tree", Pattern Recognition and Image Analysis, 15(2), 523-526, 2005.
    [Abstract] [PDF] [+Info.]
  • N. Barreira, M. G. Penedo, "Topological Active Volumes", EURASIP Journal on Applied Signal Processing - Advances in Intelligent Vision Systems: Methods and Applications, 2005(13), 1939-1947, 2005.
    [Abstract] [PDF] [+Info.]
  • A. Pose-Reino, F. Gómez-Ulla, B. Hayik, M. J. Carreira, A. Mosquera, M. G. Penedo, "Computerized measurement of retinal blood vessel calibre: description, validation and use to determine the influence of ageing and hypertension", Journal of Hypertension, 23(4), 843-850, 2005.
    [+Info.]
  • M. Penas, M. J. Carreira, M. G. Penedo, N. Barreira, "Comparison of Alternative Frameworks for Directional Primitive Extraction", Pattern Recognition and Image Analysis, 15(2), 279-282, 2005.
    [Abstract] [PDF] [+Info.]

2002

  • M. J. Carreira, M. Mirmehdi, B. T. Thomas, M. Penas, "Perceptual primitives from an extended 4D Hough transform", Image and Vision Computing, 20, 969-980, 2002.
    [Abstract] [PDF]

1998

  • M. G. Penedo, M. J. Carreira, A. Mosquera, D. Cabello, "Computed-Aided Diagnosis: A Neural-Network-Based Approach to Lung Nodule Detection", IEEE Transactions on Medical Imaging, 17(6), 872-880, 1998.
    [+Info.]
  • M. J. Carreira, D. Cabello, M. G. Penedo, A. Mosquera, "Computer-aided diagnoses: Automatic detection of lung nodules ", Medical Physics, 25(10), 1998-2006, 1998.
    [+Info.]

1997

  • M. G. Penedo, "Diagnóstico Asistido por Ordenador. Aplicación de Redes Neuronales Artificiales en la Detección Automática de Nódulos Pulmonare s", Servicio de Publicaciones de la Universidad de Santiago de Compostela. Edición de Tesis de Doctorado (formato CD-ROM), 1997.

1995

  • M. G. Penedo, M. J. Carreira, D. Cabello, "Automatic Detection of Lung Nodules in Medical Images: Analysis in a Curvature Space ", en Lemke, H.U.; Inamura, K.; Jaffe, C.C. and Vannier, M.W. (eds). Computer Assisted Radiology, Springer, Berlín , 1276-1277, 1995.
  • D. Cabello, S. Barro, A. Mosquera, M. G. Penedo, J. M. Pardo, M. J. Carreira, "Aplicaciones de Redes Neuronales Artificiales en Procesado de Imágenes ", Computación Neuronal (Book Chapter), series: Cursos y Congresos de la Universidad de Santiago de Compostela, 86, 457-477, 1995.
    [+Info.]

1993

  • D. Cabello, A. Mosquera, J. M. Mallo, M. G. Penedo, M. J. Carreira, J. M. Pardo, "Segmentación de imágenes de texturas mediante redes neuronales artificiales", Homenaje a Safwan Al Khouri Ibrahim (Book Chapter), 349-360, 1993.
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1991

  • A. Mosquera, D. Cabello, M. J. Carreira, M. G. Penedo, "Unsupervised textured image segmentation using Markov random field and clustering algorithms", Research in Informatics, 5, 139-147, 1991.
    [+Info.]