Maxime Sermesant

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The role of the image phase in cardiac strain imaging

Hervé Liebgott, Martino Alessandrini, Adrian Basarab, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases

Nicholas Ayache, Hervé Delingette, Nicolas Duchateau, 2018, IEEE Transactions on Medical Imaging.

Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, Recent Advances in the 3D Physiological Human.

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2017, Biomechanics and Modeling in Mechanobiology.

A theoretical model of ventricular reentry and its radiofrequency ablation therapy

Maxime Sermesant, Mihaela Pop, Yves Coudière, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

Xiahai Zhuang, Olivier Bernard, Maxime Sermesant, 2017, Lecture Notes in Computer Science.

Population‐based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2018, International journal for numerical methods in biomedical engineering.

Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms

Maxime Sermesant, Xavier Pennec, N. Guigui, 2019, GSI.

Modèle électromécanique du coeur pour l'analyse d'image et la simulation

Maxime Sermesant, Maxime Sermesant, 2003 .

Elastic registration vs. block matching for quantification of cardiac function with 3D ultrasound: Initial results of a direct comparison in silico based on a new evaluation pipeline

Olivier Bernard, Martino Alessandrini, Maxime Sermesant, 2014, 2014 IEEE International Ultrasonics Symposium.

Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI

Maxime Sermesant, Buntheng Ly, Hubert Cochet, 2019, STACOM@MICCAI.

Asclepios : a Research Project at INRIA for the Analysis and Simulation of Biomedical Images

Hervé Delingette, Olivier Clatz, Grégoire Malandain, 2006 .

Evaluation of the use of multimodality skin markers for the registration of pre-procedure cardiac MR images and intra-procedure x-ray fluoroscopy images for image guided cardiac electrophysiology procedures

YingLiang Ma, Kawal S. Rhode, David J. Hawkes, 2008, SPIE Medical Imaging.

Generation of ultra-realistic synthetic echocardiographic sequences

Martino Alessandrini, Mathieu De Craene, Maxime Sermesant, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints

Olivier Bernard, Mathieu De Craene, Maxime Sermesant, 2016, STACOM@MICCAI.

Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

New Results - Medical Image Analysis

Hervé Delingette, Olivier Clatz, Ezequiel Geremia, 2009 .

Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition

Maxime Sermesant, Xavier Pennec, Philipp Beerbaum, 2015, MICCAI.

Planning of RadioFrequency Ablation for patients with Ventricular Tachycardia

Hervé Delingette, Nicholas Ayache, Olaf Dössel, 2011 .

Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images

Johan Montagnat, Hervé Delingette, Nicholas Ayache, 2003, Pattern Recognit. Lett..

Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets

Maxime Sermesant, Oscar Camara, Jaume Banus, 2020, MICCAI.

In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing

Maxime Sermesant, Tobias Schaeffter, Nicolas Toussaint, 2013, Medical Image Anal..

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Xin Yang, Pheng-Ann Heng, Peter M. Full, 2018, IEEE Transactions on Medical Imaging.

Patient-specific Electromechanical Models of the Heart for the Prediction of Pacing Acute Effects in Crt: a Preliminary Clinical Validation

Hervé Delingette, Kawal S. Rhode, Dominique Chapelle, 2022 .

Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart

Maxime Sermesant, Xavier Pennec, Tommaso Mansi, 2013 .

Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2)

Hervé Delingette, Mathieu De Craene, Maxime Sermesant, 2012, STACOM.

Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing

Maxime Sermesant, Xavier Pennec, Christof Seiler, 2013, MICCAI.

Noname manuscript No. (will be inserted by the editor) Fast Parameter Calibration of a Cardiac Electromechanical Model from Medical Images based on the Unscented Transform

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2012 .

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Alistair A. Young, Maxime Sermesant, Tommaso Mansi, 2012, Lecture Notes in Computer Science.

Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

Maxime Sermesant, Xavier Pennec, Marc-Michel Rohé, 2017, STACOM@MICCAI.

Towards an interactive electromechanical model of the heart

Hervé Delingette, Christian Duriez, Maxime Sermesant, 2013, Interface Focus.

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Alistair A. Young, Oscar Camara, Maxime Sermesant, 2013, Lecture Notes in Computer Science.

[Towards a personalized digital patient for diagnosis and therapy guided by image].

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2011, Medecine sciences : M/S.

Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons

Hervé Delingette, Mathieu De Craene, Maxime Sermesant, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking

Maxime Sermesant, Xavier Pennec, Marc-Michel Rohé, 2016, MICCAI.

International Journal of Computer Vision Manuscript No. 10.1007/s11263-010-0405-z The final publication is available at www.springerlink.com iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2022 .

Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

Maxime Sermesant, Xavier Pennec, Shuman Jia, 2017, FIMH.

Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images

Alejandro F. Frangi, Hervé Delingette, Nicolas Duchateau, 2014, IEEE Transactions on Medical Imaging.

Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2017, MICCAI.

In vivo Human 3D Cardiac Fibre Architecture: Reconstruction Using Curvilinear Interpolation of Diffusion Tensor Images

Maxime Sermesant, Nicolas Toussaint, Sebastian Kozerke, 2010, MICCAI.

A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias

Gabriel Bernardino, Oscar Camara, Maxime Sermesant, 2017, FIMH.

Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2013, STACOM.

Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

Alistair A. Young, Maxime Sermesant, Tommaso Mansi, 2014, Lecture Notes in Computer Science.

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging pdf

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, ArXiv.

Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2010, MICCAI.

Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2005, MICCAI.

Functional Imaging and Modeling of the Heart, 5th International Conference, FIMH 2009, Nice, France, June 3-5, 2009. Proceedings

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, Functional Imaging and Modeling of the Heart.

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2013, IEEE Transactions on Medical Imaging.

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Jichao Zhao, Maxime Sermesant, Tommaso Mansi, 2018, Lecture Notes in Computer Science.

Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings

Hervé Delingette, Martino Alessandrini, Mathieu De Craene, 2016, IEEE Transactions on Medical Imaging.

Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator

Stephane Cotin, Hervé Delingette, Christian Duriez, 2012, STACOM.

Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging

Kawal S. Rhode, Daniel Rueckert, Maxime Sermesant, 2004, MICCAI.

Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based?

Maxime Sermesant, Jaume Banus, Yingyu Yang, 2019, STACOM@MICCAI.

A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning

Boris C. Bernhardt, Hervé Delingette, Nicholas Ayache, 2009, MICCAI.

Evaluation of iLogDemons Algorithm for Cardiac Motion Tracking in Synthetic Ultrasound Sequence

Maxime Sermesant, Xavier Pennec, Adityo Prakosa, 2012, STACOM.

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

Nicolas Duchateau, Maxime Sermesant, Xavier Pennec, 2015, STACOM@MICCAI.

Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2011, Interface Focus.

Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study

Hervé Delingette, Nicholas Ayache, Eugene Crystal, 2009, Medical Image Anal..

New Results - Computational Anatomy

Alain Trouvé, Hervé Delingette, Maxime Sermesant, 2006 .

Analysis and Simulation of Biomedical Images

Johan Montagnat, Hervé Delingette, Luc Soler, 2006 .

Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations

Maxime Sermesant, Hervé Delingette, Gaëtan Desrues, 2019, STACOM@MICCAI.

Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, FIMH.

End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality

Maxime Sermesant, Jean Bulté, Alexandre Legay, 2019, STACOM@MICCAI.

Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2013, STACOM.

Correlating currents-based shape parameters of the right ventricle with clinical variables: Application to tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2015, STACOM@MICCAI.

New Results - Computational Physiology

Olivier Clatz, Hervé Delingette, Ezequiel Geremia, 2006 .

A Near-Incompressible Poly-affine Motion Model for Cardiac Function Analysis

Maxime Sermesant, Xavier Pennec, Christof Seiler, 2012, STACOM.

Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology.

Hervé Delingette, Ender Konukoglu, Maxime Sermesant, 2011, Progress in biophysics and molecular biology.

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Alejandro F. Frangi, Kawal S. Rhode, Daniel Rueckert, 2013, Medical Image Anal..

Interactive Training System for Interventional Electrocardiology Procedures

Stephane Cotin, Hervé Delingette, Christian Duriez, 2014, ISBMS.

Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

Jack Lee, Dominique Chapelle, Maxime Sermesant, 2016, Interface Focus.

Cardiac Electrophysiological Activation Pattern Estimation From Images Using a Patient-Specific Database of Synthetic Image Sequences

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2014, IEEE Transactions on Biomedical Engineering.

Deliverable D10.4.2

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011 .

Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics

Maxime Sermesant, Xavier Pennec, Philipp Beerbaum, 2015, IEEE Transactions on Medical Imaging.

Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2005, FIMH.

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images

Jean-Antoine Désidéri, Hervé Delingette, Dominique Chapelle, 2001, FIMH.

Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2017, FIMH.

XMR guided cardiac electrophysiology study and radio frequency ablation

Daniel Rueckert, Reza Razavi, Maxime Sermesant, 2004, SPIE Medical Imaging.

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy

Hervé Delingette, Reza Razavi, Maxime Sermesant, 2019, IEEE Transactions on Biomedical Engineering.

An electromechanical model of the heart for image analysis and simulation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006, IEEE Transactions on Medical Imaging.

A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2016, BMC Medical Imaging.

ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone

YingLiang Ma, Zhong Chen, Hervé Delingette, 2016, Medical & Biological Engineering & Computing.

Highly reduced model of the cardiac function for fast simulation

Maxime Sermesant, Xavier Pennec, Roch Molléro, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Personalization of Electromechanical Models of the Cardiac Ventricular Function by Heterogeneous Clinical Data Assimilation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2015 .

Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, IEEE Transactions on Medical Imaging.

An Electro-mechanical Model of the Heart for Cardiac Image Analysis

Jean-Antoine Désidéri, Hervé Delingette, Nicholas Ayache, 2001, MICCAI.

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Alejandro F. Frangi, Sotirios A. Tsaftaris, Daniel Rueckert, 2018, IEEE Journal of Biomedical and Health Informatics.

A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2007, IPMI.

Improving Cardiac Arrhythmia Therapy with Medical Imaging

Maxime Sermesant, 2019, ERCIM News.

Statistical Analysis of the Anatomy: From Digital Patient to Digital Population

Maxime Sermesant, Stanley Durrleman, Xavier Pennec, 2010 .

Clinical applications of image fusion for electrophysiology procedures

YingLiang Ma, Hervé Delingette, Richard James Housden, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

Olivier Ecabert, Nicholas Ayache, Dorin Comaniciu, 2015, FIMH.

A Parallel Implementation of Non-rigid Registration Using a Volumetric Biomechanical Model

Hervé Delingette, Olivier Clatz, Stéphane Lanteri, 2003, WBIR.

Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database

Olivier Bernard, Martino Alessandrini, Maxime Sermesant, 2018, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information

Nicolas Cedilnik, Maxime Sermesant, Hubert Cochet, 2019, FIMH.

New Results - Registration

Alain Pitiot, Luc Soler, Olivier Clatz, 2003 .

Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2012, IEEE Transactions on Biomedical Engineering.

Correspondence Between Simple 3-D MRI-Based Computer Models and In-Vivo EP Measurements in Swine With Chronic Infarctions

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, IEEE Transactions on Biomedical Engineering.

Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results

Mengyuan Li, Maxime Sermesant, Mihaela Pop, 2019, FIMH.

Cardiac Function Estimation from MRI Using a Heart Model and Data Assimilation: Advances and Difficulties

Maxime Sermesant, Derek L. G. Hill, Philippe Moireau, 2005, FIMH.

A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2007, IEEE Transactions on Medical Imaging.

Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging

Nicolas Cedilnik, Maxime Sermesant, Hubert Cochet, 2019, FIMH.

A novel method of estimating electrical recruitability of myocardial tissue using an electrophysiological model

R. Razavi, Simon R. Arridge, Maxime Sermesant, 2009 .

An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, VCBM.

Detecting the onset of myocardial contraction for establishing inverse electro-mechanical coupling in XMR guided RF ablation

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2012, Medical Image Anal..

An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2007, FIMH.

Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models

Maxime Sermesant, Mihaela Pop, Graham A. Wright, 2016, STACOM@MICCAI.

Functional Imaging and Modeling of the Heart

Reza Razavi, Xing Cai, Maxime Sermesant, 2019, Lecture Notes in Computer Science.

Biomechanical Model Construction from Different Modalities: Application to Cardiac Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2002, MICCAI.

Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms

Olivier Bernard, Mathieu De Craene, Maxime Sermesant, 2016, SASHIMI@MICCAI.

Parameter Estimation of a 3D Cardiac Electrophysiology Model Including the Restitution Curve Using Optical and MR Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations

Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, 2010, STACOM/CESC.

Interactive training system for interventional electrocardiology procedures

Stephane Cotin, Hervé Delingette, Christian Duriez, 2014, ISBMS.

Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts

Mehran Ebrahimi, Maxime Sermesant, Mihaela Pop, 2019, Medical Imaging: Image Processing.

Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties

Dominique Chapelle, Reza Razavi, Oscar Camara, 2006, Medical Image Anal..

Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge

Kawal S. Rhode, Oscar Camara, Maxime Sermesant, 2010 .

When Cardiac Biophysics Meets Groupwise Statistics: Complementary Modelling Approaches for Patient-Specific Medicine

Maxime Sermesant, 2016 .

Personalisation of a 3D Macroscopic Cardiac Electrophysiology Model for Simulation of Induced Ischemic Ventricular Tachycardia

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2010 .

A Multiscale Cardiac Model for Fast Personalisation and Exploitation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2016, MICCAI.

A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, IEEE Transactions on Medical Imaging.

A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, FIMH.

A system for real-time XMR guided cardiovascular intervention

Kawal S. Rhode, David C. Brogan, John H. Hipwell, 2005, IEEE Transactions on Medical Imaging.

Vers un patient numérique pour le diagnostic et la thérapie guidés par l'image

Olivier Clatz, Hervé Delingette, Grégoire Malandain, 2011 .

Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters

Maxime Sermesant, Xavier Pennec, Kristin McLeod, 2017, FIMH.

Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology

Hervé Delingette, Maxime Sermesant, C. Aldo Rinaldi, 2017, FIMH.

Contracts and Grants with Industry - Microsoft Research Award

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2009 .

An Electromechanical Model of the Myocardium for Cardiac Image Analysis and Medical Simulation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2004 .

Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database

Richard James Housden, Kawal S. Rhode, Reza Razavi, 2018, Medical Image Anal..

EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, STACOM.

Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study

Maxime Sermesant, Roch Molléro, Hervé Delingette, 2016, STACOM@MICCAI.

Corrigendum to "Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images" [Med. Image Anal. 18(2014) 63-82]

Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, 2014, Medical Image Anal..

Cardiac Mechanical Parameter Calibration Based on the Unscented Transform

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2012, MICCAI.

Image-based modelling

Alejandro F. Frangi, David Atkinson, Denis Friboulet, 2014 .

Personalization of a Cardiac Electrophysiology Model Using Optical Mapping and MRI for Prediction of Changes With Pacing

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, IEEE Transactions on Biomedical Engineering.

Voxel Based Adaptive Meshless Method for Cardiac Electrophysiology Simulation

Simon R. Arridge, Kawal S. Rhode, Reza Razavi, 2009, FIMH.

PROGRESS TOWARD USING MRI AND A HEART MODEL TO ESTIMATE PATIENT-SPECIFIC INDICES OF CARDIAC FUNCTION

Maxime Sermesant, Derek L. G. Hill, Philippe Moireau, 2005 .

Cardiac Interventional Guidance using Multimodal Data Processing and Visualisation: medInria as an Interoperability Platform

Maxime Sermesant, Nicolas Toussaint, Hubert Cochet, 2012 .

IMAGE-DRIVEN COMPUTATIONAL MODELS OF THE HEART FOR TETRALOGY OF FALLOT

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010 .

Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, STACOM.

LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, MICCAI.

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging

Hervé Delingette, Kawal S. Rhode, Daniel Rueckert, 2005, Medical Image Anal..

Cardiac Electrophysiology Model Adjustment Using the Fusion of MR and Optical Imaging

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, MICCAI.

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

Loïc Le Folgoc, Nicholas Ayache, Ján Margeta, 2014, MCV.

Revised Selected Papers of the 6th International Workshop on Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Volume 9534

Alistair A. Young, Oscar Camara, Maxime Sermesant, 2015 .

Breaking the state of the heart: meshless model for cardiac mechanics

Oscar Camara, Maxime Sermesant, Bart Bijnens, 2019, Biomechanics and Modeling in Mechanobiology.

Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Building maps of local apparent conductivity of the epicardium with a 2-D electrophysiological model of the heart

Hervé Delingette, Maxime Sermesant, Elliot R. McVeigh, 2006, IEEE Transactions on Biomedical Engineering.

Deformable biomechanical models: Application to 4D cardiac image analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2003, Medical Image Anal..

Characterization of Post-infarct Scars in a Porcine Model - A Combined Experimental and Theoretical Study

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2009, FIMH.

Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2005, IEEE Transactions on Medical Imaging.

In vivo Contact EP Data and ex vivo MR-Based Computer Models: Registration and Model-Dependent Errors

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2012, STACOM.

A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation

Hervé Delingette, Nicholas Ayache, Ender Konukoglu, 2011, Comput. Graph..

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge pdf

Daniel Rueckert, Xiahai Zhuang, Gongning Luo, 2020, ArXiv.

Interactive Real Time Simulation of Cardiac Radio-Frequency Ablation

Hervé Delingette, Maxime Sermesant, Jatin Relan, 2010, VCBM.

Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space.

Nicolas Duchateau, Maxime Sermesant, Mathieu De Craene, 2016, IEEE transactions on medical imaging.

Estimating Local Apparent Conductivity with a 2-D Electrophysiological Model of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2005, FIMH.

Interactive Electromechanical Model of the Heart for Patient-Specific Therapy Planning and Training using SOFA

Hervé Delingette, Christian Duriez, Maxime Sermesant, 2012 .

GENERATION OF COMPUTATIONAL MESHES FROM MRI AND CT-SCAN DATA

Maxime Sermesant, Pascal Frey, Maxime Sermesant, 2005 .

Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images

Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, 2014, Medical Image Anal..

Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy

Simon R. Arridge, Kawal S. Rhode, Reza Razavi, 2008, IEEE Transactions on Medical Imaging.

A novel method of measuring PVR and total pulmonary arterial compliance using simultaneous pressure monitoring and phase contrast MR flow quantification

David Atkinson, Maxime Sermesant, Dlg Hill, 2005 .

Non-invasive Activation Times Estimation Using 3D Echocardiography

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods

Oscar Camara, Mathieu De Craene, Maxime Sermesant, 2017, FIMH.

Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical Image Anal..

Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, The MIDAS Journal.

Preliminary Validation Using in vivo Measures of a Macroscopic Electrical Model of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2003, IS4TH.

New Results - High performance parallel and distributed computing

Hervé Delingette, Denis Caromel, Olivier Clatz, 2003 .

CARDIOSENSE3D : PATIENT-SPECIFIC CARDIAC SIMULATION

Miguel A. Fernández, Hervé Delingette, Kawal S. Rhode, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping

Hervé Delingette, Maxime Sermesant, Reza Razavi, 2017, IEEE Transactions on Biomedical Engineering.

Application of soft tissue modelling to image-guided surgery.

Maxime Sermesant, Christine Tanner, Dean C Barratt, 2005, Medical engineering & physics.

Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, MICCAI.

Evaluation of Personalised Canine Electromechanical Models

Hervé Delingette, Loïc Le Folgoc, Maxime Sermesant, 2014, STACOM.

Software - Yav++ Software

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2003 .

Horizontal Data Fusion for Integrative Modelling: the MedINRIA Fusion Toolbox

Olivier Clatz, Maxime Sermesant, Nicolas Toussaint, 2010 .

Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions

Oscar Camara, Maxime Sermesant, Marco Lorenzi, 2019, FIMH.

Prediction of Infarct Localization from Myocardial Deformation

Nicolas Duchateau, Maxime Sermesant, 2015, STACOM@MICCAI.

Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy

Hervé Delingette, Simon R. Arridge, Kawal S. Rhode, 2009, FIMH.

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Maxime Sermesant, Tommaso Mansi, Mihaela Pop, 2015, Lecture Notes in Computer Science.

Large‐scale analysis of heart‐brain interactions through personalisation of a mechanistic cardiovascular model

Maxime Sermesant, Oscar Camara, Jaume Banus, 2020 .

Revised Selected Papers of the 4th International Workshop on Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Volume 8330

Kawal S. Rhode, Oscar Camara, Maxime Sermesant, 2013 .

Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts

Mehran Ebrahimi, Maxime Sermesant, Mihaela Pop, 2017, STACOM@MICCAI.

Towards a Statistical Atlas of Cardiac Fiber Structure

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006, MICCAI.

Statistical Comparison of Cardiac Fibre Architectures

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2007, FIMH.

Eikonal Model Personalisation Using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response

Nicolas Cedilnik, Maxime Sermesant, Maxime Sermesant, 2019, STACOM@MICCAI.

vtkINRIA3D: A VTK Extension for Spatiotemporal Data Synchronization, Visualization and Management

Maxime Sermesant, Nicolas Toussaint, Pierre Fillard, 2007, The Insight Journal.

Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images

Hervé Delingette, Nicholas Ayache, Pengcheng Shi, 2012, MICCAI.

Probabilisthc Model Personalization using an Efficient Framework: Application to Eikonal-Diffusion Models in Cardiac Electrophysiology

Ender Konukoglu, Maxime Sermesant, Phani Chinchapatnam, 2011 .

In Silico Tumor Growth: Application to Glioblastomas

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2004, MICCAI.

Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging

Hervé Delingette, Martino Alessandrini, Mathieu De Craene, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical & Biological Engineering & Computing.

A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts

Gabriel Bernardino, Oscar Camara, Maxime Sermesant, 2018, International journal for numerical methods in biomedical engineering.

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions

Nicolas Cedilnik, Maxime Sermesant, Patrick Gallinari, 2019, FIMH.

Towards a Statistical Atlas of Cardiac Fiber Architecture

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006 .

Regional Analysis of Left Ventricle Function Using a Cardiac-Specific Polyaffine Motion Model

Maxime Sermesant, Xavier Pennec, Nicolas Toussaint, 2013, FIMH.

Statistical Atlases and Computational Models of the Heart, First International Workshop, STACOM 2010, and Cardiac Electrophysiological Simulation Challenge, CESC 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings

Maxime Sermesant, Shuo Li, Tommaso Mansi, 2010, STACOM/CESC.

Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms

Maxime Sermesant, Hubert Cochet, Nicholas Ayache, 2017, IEEE Transactions on Biomedical Engineering.

STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour

Maxime Sermesant, Shuman Jia, Hubert Cochet, 2016, STACOM@MICCAI.

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

Maria A. Zuluaga, Maxime Sermesant, Xavier Pennec, 2017, IEEE Transactions on Biomedical Engineering.

Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, MICCAI.

Velocity-based cardiac contractility personalization from images using derivative-free optimization.

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2015, Journal of the mechanical behavior of biomedical materials.

Progress towards an electromechanical model of the heart for cardiac image analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension

Nicolas Duchateau, Maxime Sermesant, Xavier Pennec, 2018, ShapeMI@MICCAI.

A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging

Kawal S. Rhode, Maxime Sermesant, Derek L. G. Hill, 2005, MICCAI.

Estimation of volumetric myocardial apparent conductivity from endocardial electro-anatomical mapping

Kawal S. Rhode, Reza Razavi, Maxime Sermesant, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Alistair A. Young, Oscar Camara, Maxime Sermesant, 2017, MICCAI 2017.

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

Maxime Sermesant, Xavier Pennec, Lilian Calvet, 2018, IEEE Transactions on Biomedical Engineering.

An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue

Maxime Sermesant, Xavier Pennec, Tommaso Mansi, 2011, STACOM.

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Maxime Sermesant, Xavier Pennec, Tobias Heimann, 2017, MICCAI.

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, Medical Image Anal..

Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2019, IEEE Transactions on Biomedical Engineering.

An Experimental Framework to Validate 3D Models of Cardiac Electrophysiology Via Optical Imaging and MRI

Eugene Crystal, Maxime Sermesant, Mihaela Pop, 2007, FIMH.

Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, FIMH.

VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation

Nicolas Cedilnik, Maxime Sermesant, Hubert Cochet, 2017, FIMH.

Low‐dimensional representation of cardiac motion using Barycentric Subspaces: A new group‐wise paradigm for estimation, analysis, and reconstruction

Maxime Sermesant, Xavier Pennec, Marc-Michel Rohé, 2018, Medical Image Anal..

Computational Models for AF and VT simulation

Nicholas Ayache, Olaf Dössel, Gunnar Seemann, 2010 .

Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss pdf

Hervé Delingette, Maxime Sermesant, Xavier Pennec, 2018, STACOM@MICCAI.

Towards an Identification of Tumor Growth Parameters from Time Series of Images

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2007, MICCAI.

Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging

YingLiang Ma, Simon R. Arridge, Kawal S. Rhode, 2007, MICCAI.

In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort

Oscar Camara, Maxime Sermesant, Hubert Cochet, 2022, FIMH.

Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored for Personalisation

Maxime Sermesant, Thierry Legay, Delphine Feuerstein, 2021, FIMH.

Cardiac Motion Modeling With Parallel Transport And Shape Splines

Maxime Sermesant, Xavier Pennec, Nicolas Guigui, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Biophysics-based statistical learning: Application to heart and brain interactions

Oscar Camara, Maxime Sermesant, Marco Lorenzi, 2021, Medical Image Anal..

Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis

Maxime Sermesant, Yingyu Yang, 2021, FIMH.

Spatial correlation of action potential duration and diastolic dysfunction in transgenic and drug-induced LQT2 rabbits.

Maxime Sermesant, Jatin Relan, Marius Menza, 2013, Heart rhythm.

Third generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors

Ender Konukoglu, Maxime Sermesant, Stanley Durrleman, 2010 .

Three-dimensional Prolate Spheroidal Extrapolation for Sparse DTI of the In-vivo Heart

Maxime Sermesant, Nicolas Toussaint, Philip Batchelor, 2010 .

Toward patient-specific myocardial models of the heart.

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2008, Heart failure clinics.

vtkINRIA 3 D : A VTK Extension for Spatiotemporal Data Synchronization , Visualization and Management Release

Maxime Sermesant, Nicolas Toussaint, Pierre Fillard, 2007 .

euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling

Helko Lehmann, Alejandro F. Frangi, Hervé Delingette, 2011, Interface Focus.

Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space

Nicolas Duchateau, Mathieu De Craene, Maxime Sermesant, 2016, IEEE Transactions on Medical Imaging.

Impact of New Technologies and Approaches for Post–Myocardial Infarction Ventricular Tachycardia Ablation During Long-Term Follow-Up

Maxime Sermesant, Hubert Cochet, Nicolas Derval, 2016, Circulation. Arrhythmia and electrophysiology.

Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes.

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2017, The Annals of thoracic surgery.

Relationship between endocardial activation sequences defined by high-density mapping to early septal contraction (septal flash) in patients with left bundle branch block undergoing cardiac resynchronization therapy.

Reza Razavi, Oscar Camara, Maxime Sermesant, 2012, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging

Olivier Clatz, Nicholas Ayache, Maxime Sermesant, 2008, Physics in Medicine and Biology.

Regional Myocardial Wall Thinning at Multidetector Computed Tomography Correlates to Arrhythmogenic Substrate in Postinfarction Ventricular Tachycardia: Assessment of Structural and Electrical Substrate

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2013, Circulation. Arrhythmia and electrophysiology.

Simultaneous non-contact mapping fused with CMR derived grey zone to explore the relationship with ventricular tachycardia substrate in ischaemic cardiomyopathy

YingLiang Ma, Nicholas Ayache, Maxime Sermesant, 2013, Journal of Cardiovascular Magnetic Resonance.

Measurement of total pulmonary arterial compliance using invasive pressure monitoring and MR flow quantification during MR-guided cardiac catheterization.

Vivek Muthurangu, Maxime Sermesant, Marc E Miquel, 2005, American journal of physiology. Heart and circulatory physiology.

Integration of Merged Delayed‐Enhanced Magnetic Resonance Imaging and Multidetector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2013, Journal of cardiovascular electrophysiology.

Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach

Nicholas Ayache, Reza Razavi, Maxime Sermesant, 2017 .

Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy

Reza Razavi, Maxime Sermesant, Maxime Sermesant, 2010 .

Progress towards model-based estimation of the cardiac electromechanical activity from ECG signals and 4D images

Dominique Chapelle, Maxime Sermesant, Frédérique Clément, 2002 .

Functional Imaging and Modeling of the Heart - FIMH 2009

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008 .

How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2017, The Journal of thoracic and cardiovascular surgery.

Inverse relationship between fractionated electrograms and atrial fibrosis in persistent atrial fibrillation: combined magnetic resonance imaging and high-density mapping.

Maxime Sermesant, Hubert Cochet, Nicolas Derval, 2013, Journal of the American College of Cardiology.

Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?

Nicholas Ayache, Maxime Sermesant, Xavier Pennec, 2013, European heart journal cardiovascular Imaging.

Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension

Nicolas Duchateau, Maxime Sermesant, Pamela Moceri, 2018, European heart journal cardiovascular Imaging.

Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping.

Nicholas Ayache, Reza Razavi, Maxime Sermesant, 2016, IEEE transactions on bio-medical engineering.