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 | 282 | 2019 |
Deep convolutional approaches for the analysis of Covid-19 using chest X-Ray images from portable devices J de Moura, L Ramos, PL Vidal, M Cruz, L Abelairas, E Castro, J Novo, ... medRxiv, 2020 | 90 | 2020 |
Hessian based approaches for 3D lung nodule segmentation L Gonçalves, J Novo, A Campilho Expert Systems with Applications 61, 1-15, 2016 | 80 | 2016 |
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 | 79 | 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 | 69 | 2010 |
Fully automatic deep convolutional approaches for the analysis of Covid-19 using chest X-ray images J de Moura, J Novo, M Ortega medRxiv, 2020 | 68 | 2020 |
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19 PL Vidal, J de Moura, J Novo, M Ortega Expert Systems with Applications 173, 114677, 2021 | 65 | 2021 |
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 | 57 | 2018 |
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 | 53 | 2018 |
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images ÁS Hervella, J Rouco, J Novo, M Ortega Applied Soft Computing 116, 108347, 2022 | 52 | 2022 |
Retinal image understanding emerges from self-supervised multimodal reconstruction ÁS Hervella, J Rouco, J Novo, M Ortega Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 49 | 2018 |
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 | 48 | 2019 |
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images DI Morís, JJ de Moura Ramos, JN Buján, MO Hortas Expert systems with applications 185, 115681, 2021 | 44 | 2021 |
A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega Applied Sciences 10 (14), 4703, 2020 | 43 | 2020 |
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images ÁS Hervella, J Rouco, J Novo, MG Penedo, M Ortega Computer Methods and Programs in Biomedicine 186, 105201, 2020 | 43 | 2020 |
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 | 43 | 2018 |
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 | 43 | 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 (1), 207315, 2012 | 40 | 2012 |
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), 2019 | 39 | 2019 |
Joint diabetic macular edema segmentation and characterization in OCT images J de Moura, G Samagaio, J Novo, P Almuina, MI Fernández, M Ortega Journal of digital imaging 33, 1335-1351, 2020 | 38 | 2020 |