| A foundation model for generalizable disease detection from retinal images Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ... Nature 622 (7981), 156-163, 2023 | 73 | 2023 |
| End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images M Gende, J de Moura, J Novo, M Ortega Computerized Medical Imaging and Graphics 98, 102068, 2022 | 14 | 2022 |
| Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches M Gende, J De Moura, J Novo, P Charlón, M Ortega IEEE Access 9, 75993-76004, 2021 | 12 | 2021 |
| Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning M Gende, J de Moura, JI Fernández-Vigo, JM Martínez-de-la-Casa, ... Quantitative Imaging in Medicine and Science 13 (5), 2846-2859, 2023 | 5 | 2023 |
| Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios M Gende, V Mallen, J de Moura, B Cordón, E Garcia-Martin, CI Sánchez, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 4 | 2023 |
| High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks M Gende, J de Moura, J Novo, M Ortega International Conference on Image Analysis and Processing, 210-220, 2022 | 2 | 2022 |
| A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets M Gende, J de Moura, J Novo, MG Penedo, M Ortega Medical & Biological Engineering & Computing 61 (5), 1093-1112, 2023 | 1 | 2023 |
| Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks M Gende, J de Moura, J Novo, P Charlón, M Ortega Engineering Proceedings 7 (1), 2, 2021 | 1 | 2021 |
| Intra-and Inter-expert Validation of an Automatic Segmentation Method for Fluid Regions Associated with Central Serous Chorioretinopathy in OCT Images M Gende, L Castelo, J de Moura, J Novo, M Ortega Journal of Imaging Informatics in Medicine, 1-16, 2024 | | 2024 |
| Automatic Deep Learning-based Models for Retinal Layer Thickness Analysis as a Biomarker for Neurodegenerative Diseases M Gende, J de Moura, B Cordón, E Vilades, E García-Martín, CI Sánchez, ... Investigative Ophthalmology & Visual Science 64 (8), 1122-1122, 2023 | | 2023 |
| Multi-task Convolutional Neural Networks for the End-to-end Simultaneous Segmentation and Screening of the Epiretinal Membrane in OCT Images M Gende, J de Moura, J Novo, MFG Penedo, M Ortega Proceedings of V XoveTIC Conference. XoveTIC 14, 77-79, 2023 | | 2023 |
| Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images M Gende, DI Morís, J de Moura, J Novo, M Ortega International Conference on Computer Aided Systems Theory, 395-402, 2022 | | 2022 |
| Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening DI Morís, M Gende, J de Moura, J Novo, M Ortega International Conference on Computer Aided Systems Theory, 403-410, 2022 | | 2022 |
| Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks M Gende, J de Moura, J Novo, M Ortega AI Applications for Disease Diagnosis and Treatment, 88-121, 2022 | | 2022 |
| Data Extraction in Insurance Photo-Inspections Using Computer Vision M Gende, M Ortega, MG Penedo Proceedings 54 (1), 33, 2020 | | 2020 |
