Jorge Novo Buján
Jorge Novo Buján
Universidade da Coruña. Research Center for Information Technology and Communications (CITIC)
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Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers
V Mondéjar-Guerra, J Novo, J Rouco, MG Penedo, M Ortega
Biomedical Signal Processing and Control 47, 41-48, 2019
Sirius: a web-based system for retinal image analysis
M Ortega, N Barreira, J Novo, MG Penedo, A Pose-Reino, F Gómez-Ulla
International journal of medical informatics 79 (10), 722-732, 2010
Hessian based approaches for 3D lung nodule segmentation
L Gonçalves, J Novo, A Campilho
Expert Systems with Applications 61, 1-15, 2016
Localisation of the optic disc by means of GA-optimised topological active nets
J Novo, MG Penedo, J Santos
Image and Vision Computing 27 (10), 1572-1584, 2009
Statistical comparison of classifiers applied to the interferential tear film lipid layer automatic classification
B Remeseiro, M Penas, A Mosquera, J Novo, MG Penedo, ...
Computational and mathematical methods in medicine 2012, 2012
Automatic Macular Edema Identification and Characterization Using OCT Images
G Samagaio, A Estévez, J de Moura, J Novo, MI Fernández, M Ortega
Computer Methods and Programs in Biomedicine, 2018
Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images
M Díaz, J Novo, P Cutrín, F Gómez-Ulla, MG Penedo, M Ortega
PLoS One 14 (2), e0212364, 2019
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement
MO A. S. Hervella, J. Rouco, J. Novo
Procedia Computer Science 126, 97-104, 2018
Automatic classification of the interferential tear film lipid layer using colour texture analysis
B Remeseiro, M Penas, N Barreira, A Mosquera, J Novo, C García-Resúa
Computer methods and programs in biomedicine 111 (1), 93-103, 2013
Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment
J Novo, A Hermida, M Ortega, N Barreira, MG Penedo, JE López, C Calvo
Computer methods and programs in biomedicine 139, 61-81, 2017
Optic disc segmentation by means of GA-Optimized Topological Active Nets
J Novo, MG Penedo, J Santos
International conference image analysis and recognition, 807-816, 2008
Retinal image understanding emerges from self-supervised multimodal reconstruction
ÁS Hervella, J Rouco, J Novo, M Ortega
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Enhanced visualization of the retinal vasculature using depth information in OCT
J de Moura, J Novo, P Charlón, N Barreira, M Ortega
Medical & biological engineering & computing 55 (12), 2209-2225, 2017
Topological active models optimization with differential evolution
J Novo, J Santos, MG Penedo
Expert Systems with Applications 39 (15), 12165-12176, 2012
An end-to-end deep learning approach for simultaneous background modeling and subtraction.
VM Mondéjar-Guerra, J Rouco, J Novo, M Ortega
BMVC, 266, 2019
Intraretinal fluid identification via enhanced maps using optical coherence tomography images
PL Vidal, J De Moura, J Novo, MG Penedo, M Ortega
Biomedical optics express 9 (10), 4730-4754, 2018
Automatic identification of intraretinal cystoid regions in optical coherence tomography
J de Moura, J Novo, J Rouco, MG Penedo, M Ortega
Conference on artificial intelligence in medicine in Europe, 305-315, 2017
Multiobjective differential evolution in the optimization of topological active models
J Novo, J Santos, MG Penedo
Applied Soft Computing 13 (6), 3167-3177, 2013
Automatic detection of epiretinal membrane in OCT images by means of local luminosity patterns
S Baamonde, J de Moura, J Novo, M Ortega
International work-conference on artificial neural networks, 222-235, 2017
Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model
A González-López, J de Moura, J Novo, M Ortega, MG Penedo
Heliyon 5 (2), e01271, 2019
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