Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. - Steve K. Harris; Sinan Shi; David Brealey; Niall S. MacCallum; Spiros C. Denaxas; David Pérez-Suárez; Ari Ercole; Peter J. Watkinson; Andrew Jones; Simon Ashworth; Richard Beale; J. Duncan Young; et al. (Int. J. Medical Informatics, 2018)

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care. - Anna-Lena Popkes; Hiske Overweg; Ari Ercole; Yingzhen Li; José Miguel Hernández-Lobato; Yordan Zaykov; Cheng Zhang 005 (CoRR, 2019)

Characterising complex healthcare systems using network science: The small world of emergency surgery. - Katharina Kohler; Ari Ercole (CoRR, 2019)

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning. - Tom Edinburgh; Peter Smielewski; Marek Czosnyka; Stephen J. Eglen; Ari Ercole (CoRR, 2019)

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. - Jacob Deasy; Pietro Liò; Ari Ercole (CoRR, 2019)

Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. - Jacob Deasy; Ari Ercole; Pietro Liò (CoRR, 2019)

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. - James Jordon; Daniel Jarrett; Evgeny Saveliev; Jinsung Yoon; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (NeurIPS (Competition and Demos), 2020)

Adaptive Prediction Timing for Electronic Health Records. - Jacob Deasy; Ari Ercole; Pietro Liò (CoRR, 2020)

Hide-and-Seek Privacy Challenge. - James Jordon; Daniel Jarrett; Jinsung Yoon; Tavian Barnes; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (CoRR, 2020)

ioanabica/COVID-19-Brazil: Code release. - Pedro Baqui; Ioana Bica; Valerio Marra; Ari Ercole; Mihaela van der Schaar (Zenodo, 2020)

Clairvoyance: A Pipeline Toolkit for Medical Time Series. - Daniel Jarrett; Jinsung Yoon; Ioana Bica; Zhaozhi Qian; Ari Ercole; Mihaela van der Schaar (ICLR, 2021)

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. - Mihaela van der Schaar; Ahmed M. Alaa; R. Andres Floto; Alexander Gimson; Stefan Scholtes; Angela M. Wood; Eoin F. McKinney; Daniel Jarrett; Pietro Lió; Ari Ercole (Mach. Learn., 2021)

The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. - Shubhayu Bhattacharyay; Ioan Milosevic; Lindsay Wilson; David K. Menon; Robert D. Stevens 002; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2022)

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2023)

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (npj Digit. Medicine, 2023)

Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series. - Xuhang Chen 001; Ihsane Olakorede; Stefan Yu Bögli; Wenhao Xu; Erta Beqiri; Xuemeng Li; Chenyu Tang; Zeyu Gao; Shuo Gao 001; Ari Ercole; Peter Smielewski (CoRR, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)