| MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis M Rosnati, V Fortuin Plos one 16 (5), e0251248, 2021 | 22 | 2021 |
| Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury M Rosnati, E Soreq, M Monteiro, L Li, NSN Graham, K Zimmerman, ... International Workshop on Machine Learning in Clinical Neuroimaging, 135-146, 2022 | 4 | 2022 |
| Investigating the characteristics and correlates of systemic inflammation after traumatic brain injury: The TBI-BraINFLAMM study LM Li, A Heslegrave, E Soreq, G Nattino, M Rosnati, E Garbero, ... BMJ open 13 (5), e069594, 2023 | 1 | 2023 |
| Analysing the effectiveness of a generative model for semi-supervised medical image segmentation M Rosnati, FDS Ribeiro, M Monteiro, DC de Castro, B Glocker arXiv preprint arXiv:2211.01886, 2022 | 1 | 2022 |
| Robust semi-supervised segmentation with timestep ensembling diffusion models M Rosnati, M Roschewitz, B Glocker Machine Learning for Health (ML4H), 512-527, 2023 | | 2023 |
| Protocol: Investigating the characteristics and correlates of systemic inflammation after traumatic brain injury: the TBI-BraINFLAMM study LM Li, A Heslegrave, E Soreq, G Nattino, M Rosnati, E Garbero, ... BMJ Open 13 (5), 2023 | | 2023 |
Ben GlockerImperial College LondonVerifierad e-postadress på imperial.ac.uk
