| Computational approaches to explainable artificial intelligence: advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 77 | 2023 |
| Domain adaptation for medical image segmentation using transformation-invariant self-training N Ghamsarian, J Gamazo Tejero, P Márquez-Neila, S Wolf, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns JG Tejero, MS Zinkernagel, S Wolf, R Sznitman, P Márquez-Neila Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| An efficient and rotation invariant Fourier-based metric for assessing the quality of images created by generative models J Gamazo, JM Cuadra, M Rincón International Work-Conference on the Interplay Between Natural and …, 2022 | 2 | 2022 |
| Predicting OCT biological marker localization from weak annotations JG Tejero, PM Neila, T Kurmann, M Gallardo, M Zinkernagel, S Wolf, ... Scientific Reports 13 (1), 19667, 2023 | 1 | 2023 |
| Deep-learning model to localize biological markers on OCT volumes from weak annotations JG Tejero, P Marquez-Neila, T Kurmann, M Gallardo, MS Zinkernagel, ... Investigative Ophthalmology & Visual Science 64 (8), 1082-1082, 2023 | | 2023 |
| Deep-learning model to localize biological markers on OCT volumes from weak annotations AJ Gamazo Tejero, P Márquez Neila, TK Kurmann, M Gallardo, ... | | 2023 |
| Detecting overfitting in GANs with a metric based on the Fourier spectrum ÁJ Gamazo Tejero Universidad Nacional de Educación a Distancia (España). Escuela Técnica …, 2020 | | 2020 |
