| Forecasting ultra-early intensive care strain from COVID-19 in England J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Liò, A Ercole medRxiv, 2020 | 16 | 2020 |
| Predicting Patient Outcomes with Graph Representation Learning E Rocheteau*, C Tong*, P Veličković, N Lane, P Liò arXiv preprint arXiv:2101.03940, 2021 | 1 | 2021 |
| Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit E Rocheteau, P Liò, S Hyland arXiv preprint arXiv:2007.09483, 2020 | 1 | 2020 |
| Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs E Rocheteau*, D Kim* Machine Learning for Mobile Health (ML4MH) Workshop at NeurIPS, 2020 | | 2020 |
| ICUnity: A software tool to harmonise the MIMIC-III and AmsterdamUMCdb databases E Rocheteau, J Deasy, LF Roggeveen, A Ercole Machine Learning for Healthcare Conference; Clinical Abstracts, 2020 | | 2020 |
| Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks E Rocheteau, P Liò, S Hyland Machine Learning for Health (ML4H) at NeurIPS, 2020 | | 2020 |
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeEmail verificata su cam.ac.uk
