T. Desaive

J. Geoffrey Chase, Geoffrey M. Shaw, Philippe Morimont, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Mathematical modeling of extracorporeal CO 2 removal therapy A validation carried out on ten pigs

B. Lambermont, P. Dauby, T. Desaive, 2017 .

Mathematical modeling of extracorporeal CO2 removal

B. Lambermont, P. Dauby, T. Desaive, 2015 .

Cardiovascular modelling and the Intensive Care Unit clinician

P. Kolh, J. Chase, G. Shaw, 2012 .

Subject-specific cardiovascular system model-based identification and diagnosis of septic shock with a minimally invasive data set: animal experiments and proof of concept

P. Kolh, C. Hann, G. Shaw, 2011, Physiological measurement.

Improving model-based cardiac diagnosis with an ECG

P. Kolh, C. Hann, J. Chase, 2009 .

Patient-specific modelling of the cardiovascular system - application to septic shock with a minimal data set

P. Kolh, C. Hann, J. Chase, 2009 .

Extracorporeal CO2 removal and regional citrate anticoagulation in an experimental model of hypercapnic acidosis.

B. Lambermont, P. Dauby, J. Defraigne, 2019, Artificial organs.

Patient-Ventilator Synchrony and Tidal Volume Variability using NAVA and Pressure Support Mechanical Ventilation Modes

J. Chase, B. Lambermont, J. Roeseler, 2011 .

Effective arterial elastance as an index of pulmonary vascular load.

P. Kolh, B. Lambermont, P. Lancellotti, 2008, American journal of physiology. Heart and circulatory physiology.

Virtual patient framework for the testing of mechanical ventilation airway pressure and flow settings protocol

T. Desaive, Cong Zhou, M. Cove, 2022, Comput. Methods Programs Biomed..

Non-invasive measurement of tidal breathing lung mechanics using expiratory occlusion

J. Chase, C. Pretty, K. Möller, 2020 .

Modelling in anaesthesia and intensive care: a special section including papers from IFAC’s 8. Symposium on Medical and Biological Systems in Budapest 2012

S. Andreassen, T. Desaive, D. Karbing, 2014, Journal of Clinical Monitoring and Computing.

A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control

J. Geoffrey Chase, Geoffrey M. Shaw, Thomas Desaive, 2018, Biomed. Signal Process. Control..

Physiological Relevance of a Minimal Model in Healthy Pigs Lung

J. Chase, G. Shaw, B. Lambermont, 2012 .

Modelling patient specific cardiopulmonary interactions

J. Chase, G. Shaw, T. Desaive, 2022, Comput. Biol. Medicine.

Negative Lung Elastance in Mechanically Ventilated Spontaneously Breathing Patient

J. Chase, G. Shaw, T. Desaive, 2017 .

Time-Varying Respiratory Elastance for Spontaneously Breathing Patients

Sarah F. Poole, J. Chase, G. Shaw, 2014 .

Modelling the cardiovascular system.

Bram W. Smith, C. Hann, J. Chase, 2007, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

Glycemic control in the intensive care unit: A control systems perspective

J. Geoffrey Chase, Balázs Benyó, Thomas Desaive, 2019, Annu. Rev. Control..

Model-Based Computation of Total Stressed Blood Volume from a Preload Reduction Experiment

J. Chase, P. Dauby, T. Desaive, 2014 .

Estimation of Inspiratory Respiratory Elastance Using Expiratory Data

Kyeong Tae Kim, C. Pretty, M. Tawhai, 2018 .

Model-based patient matching for in-parallel pressure-controlled ventilation

J. Chase, T. Desaive, Y. Chiew, 2022, Biomedical engineering online.

Model-based Patient Matching for in-parallel Multiplexing Mechanical Ventilation Support

J. Chase, T. Desaive, Y. Chiew, 2021, IFAC-PapersOnLine.

Veno‐venous extracorporeal CO2 removal improves pulmonary hemodynamics in a porcine ARDS model

B. Lambermont, J. Defraigne, J. Guiot, 2015, Acta anaesthesiologica Scandinavica.

Managing Patient-Specific Mechanical Ventilation: Clinical Utilisation of Respiratory Elastance (CURE) – Model and Software Development

Sarah F. Poole, J. Chase, G. Shaw, 2014 .

Right ventriculoarterial coupling in acute respiratory distress syndrome (ARDS) and expected benefits of CO2 removal therapy

B. Lambermont, P. Dauby, J. Defraigne, 2013 .

Cardiovascular haemodynamics and ventriculo‐arterial coupling in an acute pig model of coronary ischaemia–reperfusion

P. Kolh, P. Verdonck, P. Segers, 2007, Experimental physiology.

Modelling of the nonlinear end-systolic pressure-volume relation and volume-at-zero-pressure in porcine experiments

J. Geoffrey Chase, Shun Kamoi, Christopher G. Pretty, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Re: Chung et al.'s Letter to the Editor in response to: Early detection of abnormal left ventricular relaxation in acute myocardial ischemia with a quadratic model. Med Eng Phys 2014;36(September (9)):1101-5 by Morimont et al.

B. Lambermont, T. Desaive, P. Morimont, 2015, Medical engineering & physics.

Letter to the Editor in response to “COVID-19: desperate times call for desperate measures”

J. Chase, G. Shaw, B. Lambermont, 2020, Critical Care.

ALTERATION OF RIGHT VENTRICULAR-PULMONARY VASCULAR COUPLING IN A PORCINE MODEL OF PROGRESSIVE PRESSURE OVERLOADING

Thomas Desaive, Bernard Lambermont, Philippe Kolh, 2007, Shock.

Unique parameter identification of a cardiovascular system model using feedback control

C. Hann, J. Chase, G. Shaw, 2009, 2009 IEEE International Conference on Control and Automation.

Model-based therapeutics for the Cardiovascular System - a Clinical Focus

P. Kolh, C. Hann, J. Chase, 2009 .

Model-based sensor of hemodynamics in critical care

C. Hann, J. Chase, G. Shaw, 2007 .

0681. Effects of veno-venous co2 removal therapy on pulmonary circulation in an ARDS model

P. Kolh, B. Lambermont, J. Defraigne, 2014, Intensive Care Medicine Experimental.

Confirmation of High Cytokine Clearance by Hemofiltration with a Cellulose Triacetate Membrane with Large Pores: An in vivo Study

P. Kolh, B. Lambermont, J. Dogné, 2006, The International journal of artificial organs.

Rayleigh–Marangoni–Bénard instability of a ferrofluid layer in a vertical magnetic field

T. Desaive, B. Weyssow, M. Hennenberg, 2004 .

Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance

J. Chase, C. Pretty, J. Chase, 2017, Biomedical engineering online.

A virtual patient model for mechanical ventilation

J. Geoffrey Chase, Geoffrey M. Shaw, Thomas Desaive, 2018, Comput. Methods Programs Biomed..

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

P. Hunter, J. Dickson, J. Chase, 2018, Biomedical engineering online.

Assessing respiratory mechanics using pressure reconstruction method in mechanically ventilated spontaneous breathing patient

Yeong Shiong Chiew, Thomas Desaive, J Geoffrey Chase, 2016, Comput. Methods Programs Biomed..

Time-Varying Respiratory System Elastance: A Physiological Model for Patients Who Are Spontaneously Breathing

J. Geoffrey Chase, Geoffrey M. Shaw, Yeong Shiong Chiew, 2015, PloS one.

Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles

J G Chase, S L Howe, D P Redmond, 2019, Comput. Methods Programs Biomed..

Feasibility of titrating PEEP to minimum elastance for mechanically ventilated patients

Yeong Shiong Chiew, Thomas Desaive, Bernard Lambermont, 2015, Pilot and Feasibility Studies.

The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management

Yeong Shiong Chiew, Thomas Desaive, Vincent Major, 2014, BioMedical Engineering OnLine.

Expiratory model-based method to monitor ARDS disease state

G. Shaw, J. Chase, B. Lambermont, 2013, Biomedical engineering online.

Model-based PEEP optimisation in mechanical ventilation

Yeong Shiong Chiew, Thomas Desaive, Ashwath Sundaresan, 2011, Biomedical engineering online.

Expiratory model-based method to monitor ARDS disease state

Yeong Shiong Chiew, Thomas Desaive, J Geoffrey Chase, 2013, BioMedical Engineering OnLine.

Physiological relevance and performance of a minimal lung model – an experimental study in healthy and acute respiratory distress syndrome model piglets

Yeong Shiong Chiew, Thomas Desaive, Christoph Schranz, 2012, BMC Pulmonary Medicine.

Performance of lung recruitment model in healthy anesthetised pigs

J. Chase, G. Shaw, B. Lambermont, 2012 .

Respiratory mechanics assessment for reverse-triggered breathing cycles using pressure reconstruction

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2016, Biomed. Signal Process. Control..

Model-based optimal PEEP in mechanically ventilated ARDS patients in the Intensive Care Unit

Yeong Shiong Chiew, Thomas Desaive, Ashwath Sundaresan, 2011, Biomedical engineering online.

An Assessment of the relationship between dicrotic notch timing and cardiac preload

J. Geoffrey Chase, Geoffrey M. Shaw, Shun Kamoi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

NAVA enhances tidal volume and diaphragmatic electro-myographic activity matching: a Range90 analysis of supply and demand

Katherine T. Moorhead, Yeong Shiong Chiew, Thomas Desaive, 2013, Journal of Clinical Monitoring and Computing.

Model-based cardiac diagnosis of pulmonary embolism

Christopher E. Hann, J. Geoffrey Chase, Geoffrey M. Shaw, 2007, Comput. Methods Programs Biomed..

A proof of concept study of acoustic sensing of lung recruitment during mechanical ventilation

J. Geoffrey Chase, Geoffrey M. Shaw, Geoffrey W. Rodgers, 2017, Biomed. Signal Process. Control..

Model-Based Prediction of the Patient-Specific Response to Adrenaline

Thomas Desaive, Christopher E Hann, Christina Starfinger, 2010, The open medical informatics journal.

Model-based identification and diagnosis of a porcine model of induced endotoxic shock with hemofiltration.

T Desaive, J G Chase, G M Shaw, 2008, Mathematical biosciences.

Risk-Based Care: Let's Think Outside the Box

G. Shaw, J. Chase, J. Preiser, 2021, Frontiers in Medicine.

Virtual patient trials of a multi-input stochastic model for tight glycaemic control using insulin sensitivity and blood glucose data

J. Geoffrey Chase, Christopher G. Pretty, Shaun M. Davidson, 2020, Biomed. Signal Process. Control..

3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation

Thomas Desaive, Balazs Benyo, Shaun Davidson, 2019, BioMedical Engineering OnLine.

Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2018, IEEE Transactions on Biomedical Engineering.

Untangling glycaemia and mortality in critical care

J. Geoffrey Chase, Geoffrey M. Shaw, Thomas Desaive, 2017, Critical Care.

Impact of sensor and measurement timing errors on model-based insulin sensitivity

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2014, Comput. Methods Programs Biomed..

STAR Development and Protocol Comparison

J. Geoffrey Chase, Geoffrey M. Shaw, Thomas Desaive, 2012, IEEE Transactions on Biomedical Engineering.

Stochastic Targeted (STAR) Glycemic Control: Design, Safety, and Performance

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2012, Journal of diabetes science and technology.

A graphical method for practical and informative identifiability analyses of physiological models: A case study of insulin kinetics and sensitivity

Thomas Desaive, J Geoffrey Chase, Paul D Docherty, 2011, Biomedical engineering online.

Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis

Christopher E. Hann, J. Geoffrey Chase, Geoffrey M. Shaw, 2011, Comput. Methods Programs Biomed..

Organ failure and tight glycemic control in the SPRINT study

Thomas Desaive, J Geoffrey Chase, Jean-Charles Preiser, 2010, Critical care.

Thermal instability of a rotating saturated porous medium heated from below and submitted to rotation

G. Lebon, T. Desaive, M. Hennenberg, 2002 .

Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice?

Thomas Desaive, J Geoffrey Chase, Sophie Penning, 2011, Annals of intensive care.

Evaluation of a Model-Based Hemodynamic Monitoring Method in a Porcine Study of Septic Shock

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2013, Comput. Math. Methods Medicine.

Large-pore membrane hemofiltration increases cytokine clearance and improves right ventricular-vascular coupling during endotoxic shock in pigs.

Thomas Desaive, Pierre Delanaye, Bernard Lambermont, 2006, Artificial organs.

A Unified Extended Thermodynamic Description of Diffusion, Thermo-Diffusion, Suspensions, and Porous Media

P. Dauby, G. Lebon, T. Desaive, 2006 .

Glucose Control in the ICU

R. Hovorka, P. Kalfon, J. Chase, 2016, Journal of diabetes science and technology.

Arterial dP/dtmax accurately reflects left ventricular contractility during shock when adequate vascular filling is achieved

Thomas Desaive, Philippe Morimont, Bernard Lambermont, 2012, BMC Cardiovascular Disorders.

Virtual patients and virtual cohorts: a new way to think about the design and implementation of personalized ICU treatments

Thomas Desaive, Jean-Charles Preiser, J. G. Chase, 2016 .

Autonomous Electrical Activity Induced By Cardiac Tissue Deformation In A Thermo-Electro-Mechanical Background*

P. Dauby, T. Desaive, A. Collet, 2012 .

Continuous glucose control in the ICU: report of a 2013 round table meeting

Roman Hovorka, Thomas Desaive, Jean-Charles Preiser, 2014, Critical Care.

A simplified model for mitral valve dynamics

Christopher E. Hann, J. Geoffrey Chase, Katherine T. Moorhead, 2013, Comput. Methods Programs Biomed..

Mathematical modeling of extracorporeal CO2 removal therapy

Thomas Desaive, Simon Habran, Philippe Morimont, 2017, Medical & Biological Engineering & Computing.

A Simplified Waveform Energetics Approach to Interpreting Arterial and Venous Pressure

C. Pretty, J. Chase, T. Desaive, 2018 .

Beat-by-Beat Estimation of the Left Ventricular Pressure–Volume Loop Under Clinical Conditions

C. Pretty, J. Chase, T. Desaive, 2017, Annals of Biomedical Engineering.

Variation of the maximum velocity along the umbilical vein supports the Reynolds pulsometer model.'

T. Desaive, H. Machrafi, P. Dauby, 2020, Journal of gynecology obstetrics and human reproduction.

Clinical review: Consensus recommendations on measurement of blood glucose and reporting glycemic control in critically ill adults

Roman Hovorka, Thomas Desaive, Jean-Charles Preiser, 2013, Critical Care.

[One-dimensional time-dependent model of the cardiac pacemaker activity induced by the mechanoelectric feedback in a thermo-electro-mechanical background].

T. Desaive, A. Collet, P. Dauby, 2012, Annales de cardiologie et d'angeiologie.

Validation of subject-specific cardiovascular system models from porcine measurements

Christopher E. Hann, J. Geoffrey Chase, Geoffrey M. Shaw, 2013, Comput. Methods Programs Biomed..

Patient specific identification of the cardiac driver function in a cardiovascular system model

Christopher E. Hann, J. Geoffrey Chase, Geoffrey M. Shaw, 2011, Comput. Methods Programs Biomed..

Does the achievement of an intermediate glycemic target reduce organ failure and mortality? A post hoc analysis of the Glucontrol trial.

C. Pretty, C. Mélot, J. Chase, 2014, Journal of critical care.

Variability of insulin sensitivity during the first 4 days of critical illness : implications for tight glycemic control

Thomas Desaive, J Geoffrey Chase, Jean-Charles Preiser, 2012 .

Parameter estimation in a minimal model of cardio-pulmonary interactions.

Thomas Desaive, J Geoffrey Chase, Chris Pretty, 2019, Mathematical biosciences.

Structural Identifiability Analysis of a Cardiovascular 1 System Model I , II 2

J. Chase, P. Dauby, T. Desaive, 2015 .

Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance

Thomas Desaive, J Geoffrey Chase, Bernard Lambermont, 2012, Biomedical engineering online.

Unique parameter identification for cardiac diagnosis in critical care using minimal data sets

Christopher E. Hann, J. Geoffrey Chase, Geoffrey M. Shaw, 2010, Comput. Methods Programs Biomed..

Cardiovascular Modelling and Identification in Septic Shock - Experimental validation

Christopher E. Hann, Geoffrey M. Shaw, Thomas Desaive, 2008 .

Predicting fluid-response, the heart of hemodynamic management: A model-based solution

Geoffrey M. Shaw, Christopher G. Pretty, Thomas Desaive, 2021, Comput. Biol. Medicine.

Assessing Respiratory Mechanics of Reverse-Triggered Breathing Cycles - Case Study of Two Mechanically Ventilated Patients

Geoffrey M. Shaw, Christopher G. Pretty, Yeong Shiong Chiew, 2015 .

Digital Twins in Critical Care: What, When, How, Where, Why?

S. Malinen, J. Chase, G. Shaw, 2021, IFAC-PapersOnLine.

Electrocardiogram R-wave is an Unreliable Indicator of Pulse Wave Initialization

G. Shaw, C. Pretty, J. Chase, 2017 .

Structural Model of the Mitral Valve Included in a Cardiovascular Closed Loop Model. Static and Dynamic Validation

J. G. Chase, Bernard Lambermont, Sabine Paeme, 2011 .

Minimal cardiovascular system model including a physiological description of progressive mitral valve orifice dynamics for studying valve dysfunction

P. Kolh, C. Hann, J. Chase, 2011 .

Mathematical model of the mitral valve and the cardiovascular system, application for studying, monitoring and in the diagnosis of valvular pathologies

Christopher E. Hann, J. Geoffrey Chase, Thomas Desaive, 2010 .

ESICM 2010 WEDNESDAY SESSIONS 13 October 2010

J. Rello, J. Chase, A. Kouatchet, 2010, Intensive Care Medicine.

Changes in Identified, Model-based Insulin Sensitivity can be used to Improve Risk and Variability Forecasting in Glycaemic Control

Geoffrey M. Shaw, Thomas Desaive, Jennifer L. Dickson, 2018 .

What Makes Tight Glycemic Control ( TGC ) Tight ? The impact of variability and nutrition in 2 clinical studies

Thomas Desaive, Jean-Charles Preiser, Paul Massion, 2011 .

Validation of a model-based virtual trials method for tight glycemic control in intensive care

Thomas Desaive, J Geoffrey Chase, Jean-Charles Preiser, 2010, Biomedical engineering online.

What Makes Tight Glycemic Control Tight? The Impact of Variability and Nutrition in Two Clinical Studies

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2010, Journal of diabetes science and technology.

Steady flows of a laterally heated ferrofluid layer: Influence of inclined strong magnetic field and gravity level

B. Scheid, T. Desaive, B. Weyssow, 2006 .

A Patient-Specific Airway Branching Model for Mechanically Ventilated Patients

J. Geoffrey Chase, Yeong Shiong Chiew, Thomas Desaive, 2014, Comput. Math. Methods Medicine.

Virtual patients for mechanical ventilation in the intensive care unit

Geoffrey M. Shaw, Thomas Desaive, Merryn H. Tawhai, 2020, Comput. Methods Programs Biomed..

Coupled capillary and gravity-driven instability in a liquid film overlying a porous layer.

G. Lebon, T. Desaive, M. Hennenberg, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model

J. Chase, G. Shaw, K. Möller, 2022, Biomedical engineering online.

Stochastic integrated model-based protocol for volume-controlled ventilation setting

J. Chase, T. Desaive, Xin Wang, 2022, Biomedical engineering online.

Identification of Asynchronous Effect via Pressure-Volume Loop Reconstruction in Mechanically Ventilated Breathing Waveforms

J. Chase, G. Shaw, K. Möller, 2021, IFAC-PapersOnLine.

Assessing mechanical ventilation asynchrony through iterative airway pressure reconstruction.

Chee Pin Tan, Yeong Shiong Chiew, Thomas Desaive, 2018, Computer methods and programs in biomedicine.

A better way to determine sample size to detect changes in length of mechanical ventilation?

J. Chase, D. Redmond, T. Desaive, 2015, Critical Care.

When the value of gold is zero

Yeong Shiong Chiew, Thomas Desaive, Christoph Schranz, 2014, BMC Research Notes.

Does Facemask Impact Diagnostic During Pulmonary Auscultation?

J. Chase, J. Guiot, T. Desaive, 2021, IFAC-PapersOnLine.

Clinical Utilisation of Respiratory Elastance (CURE): Pilot Trials for the Optimisation of Mechanical Ventilation Settings for the Critically Ill

Geoffrey M. Shaw, Yeong Shiong Chiew, Thomas Desaive, 2014 .

Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial

Kyeong Tae Kim, J. Chase, G. Shaw, 2020, Trials.

Visualisation of time-varying respiratory system elastance in experimental ARDS animal models

Yeong Shiong Chiew, Thomas Desaive, Bernard Lambermont, 2014, BMC Pulmonary Medicine.

Model-based respiratory mechanics to titrate PEEP and monitor disease state for experimental ARDS subjects

J. Geoffrey Chase, Yeong Shiong Chiew, Thomas Desaive, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Respiratory system elastance monitoring during PEEP titration

J. Chase, T. Desaive, G. Shaw, 2012, Critical Care.

Study of ventricular interaction during pulmonary embolism using clinical identification in a minimum cardiovascular system model

T. Desaive, P. Kolh, C. Starfinger, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation

Thomas Desaive, J Geoffrey Chase, Shaun Davidson, 2019, Comput. Methods Programs Biomed..

Effect of arterial pressure measurement location on pulse contour stroke volume estimation, during a rapid change in hemodynamic state

C. Pretty, J. Chase, T. Desaive, 2018 .

Improved pressure contour analysis for estimating cardiac stroke volume using pulse wave velocity measurement

G. Shaw, C. Pretty, J. Chase, 2017, Biomedical engineering online.

Relationship between Stroke Volume and Pulse Wave Velocity

G. Shaw, C. Pretty, J. Chase, 2015 .

SIZE OF CANNULAE FOR EXTRACORPOREAL CO 2 REMOVAL THERAPIES

B. Lambermont, P. Dauby, T. Desaive, 2015 .

Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments

Geoffrey M. Shaw, Shun Kamoi, Yeong Shiong Chiew, 2014, PloS one.

State Analysis of Total Stressed Blood Volume and Arterial Elastance During Induced Sepsis

J. Geoffrey Chase, Liam Murphy, Jennifer L. Knopp, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation

J. Chase, G. Shaw, T. Desaive, 2019, Biomedical engineering online.

Closed-loop model of the cardiovascular system including ventricular interaction and valve dynamics: application to pulmonary embolism

Christopher E. Hann, Thomas Desaive, Bernard Lambermont, 2005 .

Estimating afterload, systemic vascular resistance and pulmonary vascular resistance in an intensive care setting

P. Kolh, G. Shaw, B. Lambermont, 2012 .

Interface Design and Human Factors Considerations for Model-Based Tight Glycemic Control in Critical Care

James Steel, Thomas Desaive, J Geoffrey Chase, 2012, Journal of diabetes science and technology.

Data Entry Errors and Design for Model-Based Tight Glycemic Control in Critical Care

James Steel, Thomas Desaive, J Geoffrey Chase, 2012, Journal of diabetes science and technology.

Tight Glycemic Control Models for Critically Ill Patients in Intensive Care Units

J. Chase, K. Moorhead, T. Desaive, 2010 .

In silico assessment of a computerized model-based glycaemic control approach in a Belgian medical intensive care unit

J. G. Chase, Christopher G. Pretty, T. Desaive, 2014 .

Model-Based Weaning Tests for VA-ECLS Therapy

Thomas Desaive, Simon Habran, Philippe Morimont, 2020, Comput. Math. Methods Medicine.

Blood pressure waveform contour analysis for assessing peripheral resistance changes in sepsis

J. Chase, C. Pretty, T. Desaive, 2018, Biomedical engineering online.

An Investigation into the Clinical Utility of Transfer Functions between the Aortic and Femoral Pressure Waveforms

J. Chase, T. Desaive, Joel Balmer, 2018 .

Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves

Antoine Pironet, Thomas Desaive, J Geoffrey Chase, 2017, PloS one.

Incorporating pulse wave velocity into model-based pulse contour analysis method for estimation of cardiac stroke volume

Thomas Desaive, J Geoffrey Chase, Geoffrey M Shaw, 2020, Comput. Methods Programs Biomed..

A Minimally Invasive Method for Beat-by-Beat Estimation of Cardiac Pressure-Volume Loops

J. Geoffrey Chase, Shun Kamoi, Christopher G. Pretty, 2017, BIOSIGNALS.

Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2014, Comput. Methods Programs Biomed..

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

Yeong Shiong Chiew, Antoine Pironet, Thomas Desaive, 2018, BioMedical Engineering OnLine.

Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis

C. Hann, J. Chase, A. Lynn, 2011, Comput. Methods Programs Biomed..

Physiological trend analysis of a novel cardio-pulmonary model during a preload reduction manoeuvre

J. Chase, G. Shaw, T. Desaive, 2022, Comput. Methods Programs Biomed..

Preload & Frank-Starling curves, from textbook to bedside: Clinically applicable non-additionally invasive model-based estimation in pigs

Geoffrey M. Shaw, Christopher G. Pretty, Thomas Desaive, 2021, Comput. Biol. Medicine.

Tube-load model: A clinically applicable pulse contour analysis method for estimation of cardiac stroke volume

J. Geoffrey Chase, Geoffrey M. Shaw, Christopher G. Pretty, 2021, Comput. Methods Programs Biomed..

Extracorporeal membrane oxygenation and cytokine adsorption in post-resuscitation disease

B. Lambermont, T. Desaive, P. Morimont, 2019 .

Thermo-diffusion revisited: A comparative approach between two recent thermodynamic formalisms

P. Colinet, G. Lebon, T. Desaive, 2004 .

Relation of Respiratory System Elastance and Expiratory Time Constant: Are They From the Same Lung?

J. Chase, T. Desaive, N. A. Othman, 2014 .

Effects of thyroid hormones on major cardiovascular risk in acute coronary syndromes

T. Desaive, G. Shaw, A. Le Compte, 2011, Critical Care.

Real-Time, Minimally Invasive, Beat-to-Beat Estimation of End-Systolic Volume Using a Modified End-Systolic Pressure-Volume Relation

C. Pretty, T. Desaive, S. Kamoi, 2017 .

Structural identifiability analysis of a cardiovascular system model.

J. Chase, P. Dauby, T. Desaive, 2016, Medical engineering & physics.

Early detection of abnormal left ventricular relaxation in acute myocardial ischemia with a quadratic model.

B. Lambermont, T. Desaive, P. Morimont, 2014, Medical engineering & physics.

Modelling the cardiovascular system.

C. Hann, T. Desaive, C. Starfinger, 2007, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

Practical identifiability analysis of a minimal cardiovascular system model

J. Geoffrey Chase, Antoine Pironet, Thomas Desaive, 2017, Comput. Methods Programs Biomed..

Incidence of cerebral desaturation events in the ICU following cardiac surgery

T. Desaive, J. Solé-Violán, G. Shaw, 2011, Critical Care.

Validation of a model-based virtual trials method for tight glycemic control in intensive care

G. Shaw, C. Pretty, J. Preiser, 2010, Biomedical engineering online.