Simulation of the Evolution of a Virtual Patient's Physiological Status in the Operating Room: Application to Computer-assisted Anaesthesia Training. - Hugo Boisaubert; Lucas Vincent; Corinne Lejus-Bourdeau; Christine Sinoquet (HEALTHINF, 2022)

Simulating the Vital Signs of a Digital Patient Undergoing Surgery, for the Purpose of Training Anaesthetists. - Hugo Boisaubert; Lucas Vincent; Corinne Lejus-Bourdeau; Christine Sinoquet (BIOSTEC (Selected Papers), 2022)

A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. - Fatoumata Dama; Christine Sinoquet; Corinne Lejus-Bourdeau (DSAA, 2023)

A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. - Fatoumata Dama; Christine Sinoquet; Corinne Lejus-Bourdeau (ESANN, 2023)

LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. - Julien Paris; Christine Sinoquet; Fadoua Taia-Alaoui; Corinne Lejus-Bourdeau (ESANN, 2024)

Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia. - Julien Paris; Christine Sinoquet; Fadoua Taia-Alaoui; Corinne Lejus-Bourdeau (KES, 2024)

Expertise versus Data: Comparison of Expertise Based Process Models to Process-Mining Models of Surgery Under General Anesthesia. - Hugo Boisaubert; Chloé Grivaud; Antoine Bouchet; Corinne Lejus-Bourdeau; Christine Sinoquet (BIOSTEC (2): HEALTHINF, 2025)

Two-in-One Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient Under Anesthesia. - Quentin Victor; Ianis Clavier; Hugo Boisaubert; Fabien Picarougne; Corinne Lejus-Bourdeau; Christine Sinoquet (IDA, 2025)