Emma Rocheteau
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Forecasting ultra-early intensive care strain from COVID-19 in England
J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Liņ, A Ercole
medRxiv, 2020
Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
E Rocheteau, P Liņ, S Hyland
Proceedings of the Conference on Health, Inference, and Learning, 58-68, 2021
Predicting Patient Outcomes with Graph Representation Learning
C Tong*, E Rocheteau*, P Veličković, N Lane, P Liņ
International Workshop on Health Intelligence, 281-293, 2021
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
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
E Rocheteau, P Liņ, S Hyland
Machine Learning for Health (ML4H) at NeurIPS, 2020
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
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
How to organise a summer research placement
E Rocheteau
BMJ: British Medical Journal 358, 2017
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