| Automatic lymphocyte detection on gastric cancer IHC images using deep learning E Garcia, R Hermoza, CB Castanon, L Cano, M Castillo, C Castanneda 2017 IEEE 30th international symposium on computer-based medical systems …, 2017 | 84 | 2017 |
| 3D reconstruction of incomplete archaeological objects using a generative adversarial network R Hermoza, I Sipiran Proceedings of Computer Graphics International 2018, 5-11, 2018 | 80 | 2018 |
| Region proposals for saliency map refinement for weakly-supervised disease localisation and classification R Hermoza, G Maicas, JC Nascimento, G Carneiro International conference on medical image computing and computer-assisted …, 2020 | 36 | 2020 |
| Post-hoc overall survival time prediction from brain MRI R Hermoza, G Maicas, JC Nascimento, G Carneiro 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1476-1480, 2021 | 11 | 2021 |
| Censor-aware semi-supervised learning for survival time prediction from medical images R Hermoza, G Maicas, JC Nascimento, G Carneiro International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
| Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images R Hermoza, JC Nascimento, G Carneiro Computerized Medical Imaging and Graphics 115, 102395, 2024 | 7 | 2024 |
| Using neural networks and diversifying differential evolution for dynamic optimisation MH Shoreh, RH Aragonés, F Neumann 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 289-296, 2020 | 2 | 2020 |
| Neural networks in evolutionary dynamic constrained optimization: Computational cost and benefits M Hasani-Shoreh, RH Aragonés, F Neumann arXiv preprint arXiv:2001.11588, 2020 | 2 | 2020 |
