| Computer-aided diagnosis: a neural-network-based approach to lung nodule detection MG Penedo, MJ Carreira, A Mosquera, D Cabello IEEE transactions on medical imaging 17 (6), 872-880, 1998 | 305 | 1998 |
| 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 |
| Personal authentication using digital retinal images C Mariño, MG Penedo, M Penas, MJ Carreira, F Gonzalez Pattern Analysis and Applications 9 (1), 21, 2006 | 178 | 2006 |
| Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images D Calvo, M Ortega, MG Penedo, J Rouco Computer methods and programs in biomedicine 103 (1), 28-38, 2011 | 102 | 2011 |
| A snake for retinal vessel segmentation L Espona, MJ Carreira, M Ortega, MG Penedo Iberian Conference on Pattern Recognition and Image Analysis, 178-185, 2007 | 101 | 2007 |
| Retinal verification using a feature points-based biometric pattern M Ortega, MG Penedo, J Rouco, N Barreira, MJ Carreira EURASIP Journal on Advances in Signal Processing 2009, 2009 | 100 | 2009 |
| Retinal vessel tree segmentation using a deformable contour model L Espona, MJ Carreira, MG Penedo, M Ortega 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 99 | 2008 |
| Improving retinal artery and vein classification by means of a minimal path approach SG Vázquez, B Cancela, N Barreira, MG Penedo, M Rodríguez-Blanco, ... Machine vision and applications 24 (5), 919-930, 2013 | 95 | 2013 |
| 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 |
| Computer‐aided diagnoses: Automatic detection of lung nodules MJ Carreira, D Cabello, MG Penedo, A Mosquera Medical Physics 25 (10), 1998-2006, 1998 | 78 | 1998 |
| Development of an automated system to classify retinal vessels into arteries and veins M Saez, S González-Vázquez, M González-Penedo, MA Barceló, ... Computer methods and programs in biomedicine 108 (1), 367-376, 2012 | 77 | 2012 |
| 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 |
| Personal verification based on extraction and characterisation of retinal feature points M Ortega, MG Penedo, J Rouco, N Barreira, MJ Carreira Journal of Visual Languages & Computing 20 (2), 80-90, 2009 | 68 | 2009 |
| Fast retinal vessel tree extraction: A pixel parallel approach C Alonso‐Montes, DL Vilariño, P Dudek, MG Penedo International Journal of Circuit Theory and Applications 36 (5‐6), 641-651, 2008 | 67 | 2008 |
| Biometric authentication using digital retinal images M Ortega, C Marino, MG Penedo, M Blanco, F Gonzalez Proceedings of the 5th WSEAS international conference on Applied computer …, 2006 | 64 | 2006 |
| Computerized measurement of retinal blood vessel calibre: description, validation and use to determine the influence of ageing and hypertension A Pose-Reino, F Gomez-Ulla, B Hayik, M Rodriguez-Fernández, ... Journal of hypertension 23 (4), 843-850, 2005 | 61 | 2005 |
| A methodology for improving tear film lipid layer classification B Remeseiro, V Bolon-Canedo, D Peteiro-Barral, A Alonso-Betanzos, ... IEEE journal of biomedical and health informatics 18 (4), 1485-1493, 2013 | 50 | 2013 |
| On the automatic computation of the arterio-venous ratio in retinal images: Using minimal paths for the artery/vein classification SG Vázquez, B Cancela, N Barreira, MG Penedo, M Saez 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 48 | 2010 |
| Localization and extraction of the optic disc using the fuzzy circular hough transform M Blanco, MG Penedo, N Barreira, M Penas, MJ Carreira International conference on artificial intelligence and soft computing, 712-721, 2006 | 47 | 2006 |
| 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 |
Marcos Ortega Hortas (ORCID: 0000-0...Full Professor CS&AI at Universidade da Coruña. VARPA Group. INIBIC Biomedical Research在 udc.es 的电子邮件经过验证
