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 | 58 | 2022 |
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement ÁS Hervella, J Rouco, J Novo, M Ortega Procedia Computer Science 126, 97-104, 2018 | 53 | 2018 |
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 |
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 | 44 | 2020 |
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 | 34 | 2021 |
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 | 32 | 2020 |
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 | 32 | 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 | 30 | 2020 |
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 | 27 | 2022 |
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 | 23 | 2022 |
Self-supervised deep learning for retinal vessel segmentation using automatically generated labels from multimodal data ÁS Hervella, J Rouco, J Novo, M Ortega 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 20 | 2019 |
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 | 18 | 2019 |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis ÁS Hervella, J Rouco, J Novo, M Ortega Expert Systems with Applications 185, 115598, 2021 | 15 | 2021 |
Multimodal image encoding pre-training for diabetic retinopathy grading AS Hervella, J Rouco, J Novo, M Ortega Computers in Biology and Medicine 143, 105302, 2022 | 14 | 2022 |
Multimodal transfer learning-based approaches for retinal vascular segmentation J Morano, ÁS Hervella, N Barreira, J Novo, J Rouco ECAI 2020, 1866-1873, 2020 | 12 | 2020 |
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning J Morano, ÁS Hervella, J Rouco, J Novo, JI Fernández-Vigo, M Ortega Computer Methods and Programs in Biomedicine 229, 107296, 2023 | 10 | 2023 |
Joint keypoint detection and description network for color fundus image registration D Rivas-Villar, ÁS Hervella, J Rouco, J Novo Quantitative Imaging in Medicine and Surgery 13 (7), 4540, 2023 | 6 | 2023 |
Multi-Adaptive Optimization for multi-task learning with deep neural networks ÁS Hervella, J Rouco, J Novo, M Ortega Neural Networks 170, 254-265, 2024 | 4 | 2024 |
Context encoder transfer learning approaches for retinal image analysis DI Moris, AS Hervella, J Rouco, J Novo, M Ortega Computers in Biology and Medicine 152, 106451, 2023 | 2 | 2023 |
Context encoder self-supervised approaches for eye fundus analysis DI Morís, ÁS Hervella, J Rouco, J Novo, M Ortega 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |