| Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit E Rocheteau, P Liò, S Hyland Proceedings of the conference on health, inference, and learning, 58-68, 2021 | 53* | 2021 |
| Predicting patient outcomes with graph representation learning C Tong*, E Rocheteau*, P Veličković, N Lane, P Liò International Workshop on Health Intelligence, 281-293, 2021 | 50* | 2021 |
| 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 | 29 | 2020 |
| On the role of artificial intelligence in psychiatry E Rocheteau The British Journal of Psychiatry 222 (2), 54-57, 2023 | 6 | 2023 |
| 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 | 5 | 2020 |
| Dynamic Outcomes-Based Clustering of Disease Trajectory in Mechanically Ventilated Patients EC Rocheteau, I Bica, P Lio, A Ercole NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 2 | 2022 |
| Representation Learning for Patients in the Intensive Care Unit E Rocheteau | 1 | 2022 |
| How to organise a summer research placement E Rocheteau BMJ: British Medical Journal 358, 2017 | 1 | 2017 |
| A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021 F Falck, Y Zhou, E Rocheteau, L Shen, L Oala, G Abebe, S Roy, S Pfohl, ... arXiv e-prints, arXiv: 2112.00179, 2021 | | 2021 |
| 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 |
| Forecasting ultra-early intensive care strain from COVID-19 in England (preprint) J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Liò, A Ercole | | 2020 |
| What will British healthcare look like in 20 years’ time? E Rocheteau cmj, 003, 2017 | | 2017 |
| Uncertainty Estimation for Sequence-to-Sequence Regression on Sparse Time Series S Vavaroutas, T Dang, E Rocheteau, C Mascolo | | |
Ari ErcoleUniversity of CambridgeVerified email at cam.ac.uk
