Maxime Cannesson

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Learning Matching Representations for Individualized Organ Transplantation Allocation pdf

Mihaela van der Schaar, Ahmed M. Alaa, Can Xu, 2021, AISTATS.

Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study

Pierre Baldi, Artur Dubrawski, Joseph Rinehart, 2019, BMJ Open.

Closed-Loop Anesthesia: Ready for Prime Time?

Robert G Loeb, Maxime Cannesson, R. Loeb, 2017, Anesthesia and analgesia.

Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems.

Bala G Nair, Maxime Cannesson, H. Schwid, 2017, Anesthesia and analgesia.

Total joint Perioperative Surgical Home: an observational financial review

Maxime Cannesson, R. Schwarzkopf, Ranjan Gupta, 2014, Perioperative Medicine.

Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality

Pierre Baldi, Maxime Cannesson, P. Baldi, 2018, Anesthesiology.

An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

Eran Halperin, Pierre Baldi, Sriram Sankararaman, 2019, British journal of anaesthesia.

Closed-Loop Fluid Administration Compared to Anesthesiologist Management for Hemodynamic Optimization and Resuscitation During Surgery: An In Vivo Study

Joseph Rinehart, Cecilia Canales, Maxime Cannesson, 2013, Anesthesia and analgesia.

All Boxes Are Black.

Steven L Shafer, Maxime Cannesson, S. Shafer, 2016, Anesthesia and analgesia.