| On the predictability of postoperative complications for cancer patients: a Portuguese cohort study D Gonçalves, R Henriques, LL Santos, RS Costa BMC Medical Informatics and Decision Making 21 (1), 200, 2021 | 8 | 2021 |
| Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches DM Gonçalves, R Henriques, RS Costa Computational and Structural Biotechnology Journal, 2023 | 3 | 2023 |
| IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain H Mochão, D Gonçalves, L Alexandre, C Castro, D Valério, P Barahona, ... Computer Methods and Programs in Biomedicine 219, 106754, 2022 | 2 | 2022 |
| Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis DM Gonçalves, R Henriques, RS Costa Cancers 13 (13), 3217, 2021 | 2 | 2021 |
| Context-situated visualization of biclusters to aid decisions: going beyond subspaces with parallel coordinates D Gonçalves, RS Costa, R Henriques Proceedings of the 2022 International Conference on Advanced Visual …, 2022 | 1 | 2022 |
Rui HenriquesAssistant Professor at IST, Associate Researcher at INESC-IDVerified email at tecnico.ulisboa.pt
