Ari Ercole

发表

Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database

Spiros Denaxas, Peter J. Watkinson, Steve Harris, 2018, Int. J. Medical Informatics.

Electrophysiological-mechanical coupling in the neuronal membrane and its role in ultrasound neuromodulation and general anaesthesia.

Ari Ercole, Haoyu Chen, Antoine Jerusalem, 2019, Acta biomaterialia.

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing pdf

Jacob Deasy, Pietro Lio, Ari Ercole, 2019, ArXiv.

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care pdf

Yordan Zaykov, José Miguel Hernández-Lobato, Cheng Zhang, 2019, ArXiv.

Development of an HTS Magnet for Ultra-Compact MRI System: Optimization Using Genetic Algorithm (GA) Method

Zhen Huang, Wei Wu, Yujia Zhai, 2020, IEEE Transactions on Applied Superconductivity.

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning pdf

Stephen J. Eglen, Ari Ercole, Marek Czosnyka, 2019, ArXiv.

Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning pdf

Jacob Deasy, Pietro Lio, Ari Ercole, 2019, ArXiv.

Characterising complex healthcare systems using network science: The small world of emergency surgery pdf

Ari Ercole, Katharina Kohler, A. Ercole, 2019, ArXiv.

Clairvoyance: A Pipeline Toolkit for Medical Time Series

Mihaela van der Schaar, Jinsung Yoon, Ari Ercole, 2023, ICLR.

Causality indices for bivariate time series data: A comparative review of performance.

Ari Ercole, Stephen J Eglen, Tom Edinburgh, 2021, Chaos.

HDF5-Based Data Format for Archiving Complex Neuro-monitoring Data in Traumatic Brain Injury Patients.

Ari Ercole, Peter Smielewski, P. Smielewski, 2018, Acta neurochirurgica. Supplement.

Individualizing Thresholds of Cerebral Perfusion Pressure Using Estimated Limits of Autoregulation

Ari Ercole, Marek Czosnyka, Peter Smielewski, 2017, Critical care medicine.

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach

Ari Ercole, David J Wales, Ritankar Das, 2017, BMJ Open.

Multifrequency acoustics as a probe of mesoscopic blood coagulation dynamics

Ashwin A. Seshia, Ari Ercole, A. Seshia, 2016 .

Early Asymmetric Cardio-Cerebral Causality and Outcome after Severe Traumatic Brain Injury.

Ari Ercole, Marek Czosnyka, Peter Smielewski, 2017, Journal of neurotrauma.

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Mark Hoogendoorn, Ari Ercole, Tingjie Guo, 2020, Intensive Care Medicine.

Optimal intensive care outcome prediction over time using machine learning

Ari Ercole, Richard Beale, Peter J Watkinson, 2018, PloS one.

Multifractal Analysis of Hemodynamic Behavior: Intraoperative Instability and Its Pharmacological Manipulation

Ari Ercole, David K Menon, D. Menon, 2012, Anesthesiology.

Cerebrovascular Signal Complexity Six Hours after Intensive Care Unit Admission Correlates with Outcome after Severe Traumatic Brain Injury.

Ari Ercole, Marek Czosnyka, Peter Smielewski, 2016, Journal of neurotrauma.

Feasibility of individualised severe traumatic brain injury management using an automated assessment of optimal cerebral perfusion pressure: the COGiTATE phase II study protocol

Ari Ercole, Marek Czosnyka, Geert Meyfroidt, 2019, BMJ Open.

Estimating Pressure Reactivity Using Noninvasive Doppler-Based Systolic Flow Index.

Ari Ercole, Marek Czosnyka, Frederick A Zeiler, 2018, Journal of neurotrauma.