| Classification of breast cancer histology images using convolutional neural networks T Araújo, G Aresta, E Castro, J Rouco, P Aguiar, C Eloy, A Polónia, ... PloS one 12 (6), e0177544, 2017 | 1135 | 2017 |
| 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 | 313 | 2019 |
| 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 | 109 | 2011 |
| 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, 2, 2009 | 108 | 2009 |
| 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 | 73 | 2022 |
| 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 | 69 | 2009 |
| 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 | 54 | 2018 |
| 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 | 50 | 2020 |
| 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 | 50 | 2019 |
| Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images J Morano, ÁS Hervella, J Novo, J Rouco Artificial Intelligence in Medicine 118, 102116, 2021 | 43 | 2021 |
| Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction ÁS Hervella, J Rouco, J Novo, M Ortega Applied Soft Computing 91, 106210, 2020 | 35 | 2020 |
| Self-supervised multimodal reconstruction of retinal images over paired datasets ÁS Hervella, J Rouco, J Novo, M Ortega Expert Systems with Applications 161, 113674, 2020 | 33 | 2020 |
| Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images ÁS Hervella, L Ramos, J Rouco, J Novo, M Ortega ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 33 | 2020 |
| Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements L Ramos, J Novo, J Rouco, S Romeo, MD Álvarez, M Ortega BMC medical research methodology 18, 1-11, 2018 | 33 | 2018 |
| Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images ÁS Hervella, J Rouco, J Novo, M Ortega Information Fusion 79, 146-161, 2022 | 29 | 2022 |
| Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact KM Meiburger, G Zahnd, F Faita, CP Loizou, C Carvalho, DA Steinman, ... Ultrasound in Medicine & Biology 47 (8), 2442-2455, 2021 | 28 | 2021 |
| Color fundus image registration using a learning-based domain-specific landmark detection methodology D Rivas-Villar, ÁS Hervella, J Rouco, J Novo Computers in Biology and Medicine 140, 105101, 2022 | 26 | 2022 |
| Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement … KM Meiburger, F Marzola, G Zahnd, F Faita, CP Loizou, N Lainé, ... Computers in Biology and Medicine 144, 105333, 2022 | 23 | 2022 |
| Deep multimodal reconstruction of retinal images using paired or unpaired data AS Hervella, J Rouco, J Novo, M Ortega 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 23 | 2019 |
| Feature definition, analysis and selection for cystoid region characterization in optical coherence tomography J de Moura, PL Vidal, J Novo, J Rouco, M Ortega Procedia computer science 112, 1369-1377, 2017 | 22 | 2017 |
Marcos Ortega Hortas (ORCID: 0000-0...Full Professor CS&AI at Universidade da Coruña. VARPA Group. INIBIC Biomedical Researchยืนยันอีเมลแล้วที่ udc.es
