Maxime Sermesant

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 93

Top Venues

STACOM@MICCAI

FIMH

CoRR

IEEE Trans. Medical Imaging

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu
Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Trans. Medical Imaging 43 (8) (2024)
Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation. CoRR (2024)
Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment. CinC (2023)
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion. CoRR (2023)
Yingyu Yang, Maxime Sermesant
Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation. FIMH (2023)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL (2022)
Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, Maxime Sermesant
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network. STACOM@MICCAI (2022)
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette
Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers. STACOM@MICCAI (2022)
Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant
Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. STACOM@MICCAI (2022)
Zihao Wang, Yingyu Yang, Maxime Sermesant, Herve Delingette
Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. CoRR (2022)
Marta Saiz-Vivó, Jordi Mill, Josquin Harrison, Guillermo Jiménez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara
Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage. STACOM@MICCAI (2022)
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. STACOM@MICCAI (2022)
Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jérôme Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara
In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort. CoRR (2022)
Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jérôme Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara
In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort. FIMH (2021)
Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Hubert Cochet, Maxime Sermesant
Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. FIMH (2021)
Yingyu Yang, Maxime Sermesant
Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis. FIMH (2021)
Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant
Phase-Independent Latent Representation for Cardiac Shape Analysis. MICCAI (6) (2021)
Gaëtan Desrues, Delphine Feuerstein, Thierry Legay, Serge Cazeau, Maxime Sermesant
Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored for Personalisation. FIMH (2021)
Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Anal. 72 (2021)
Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Cardiac Motion Modeling With Parallel Transport And Shape Splines. ISBI (2021)
Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Cardiac Motion Modeling with Parallel Transport and Shape Splines. CoRR (2021)
Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR (2020)
Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi
diffusion tensor images of porcine hearts. Comput. Methods Programs Biomed. 187 (2020)
Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, Hubert Cochet
Automatic Multiplanar CT Reformatting from Trans-Axial into Left Ventricle Short-Axis View. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. CoRR (2020)
Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. MICCAI (6) (2020)
Maxime Sermesant
Improving Cardiac Arrhythmia Therapy with Medical Imaging. ERCIM News 2019 (118) (2019)
Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. FIMH (2019)
Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, Maxime Sermesant
Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based? STACOM@MICCAI (2019)
Nicolas Cedilnik, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging. FIMH (2019)
Mengyuan Li, Maxime Sermesant, Sebastian Ferguson, Fumin Guo, Jennifer Barry, Xiuling Qi, Peter Lin, Matthew Ng, Graham A. Wright, Mihaela Pop
Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results. FIMH (2019)
Sophie Giffard-Roisin, Herve Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A. Rinaldi, Reza Razavi, Nicholas Ayache, Maxime Sermesant
Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy. IEEE Trans. Biomed. Eng. 66 (2) (2019)
Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH (2019)
Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. CoRR (2019)
Nicolas Cedilnik, Maxime Sermesant
Eikonal Model Personalisation Using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. STACOM@MICCAI (2019)
Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi
Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts. Medical Imaging: Image Processing (2019)
Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant
Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Buntheng Ly, Hubert Cochet, Maxime Sermesant
Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI. STACOM@MICCAI (2019)
Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. GSI (2019)
Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, Jean Bulté
End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality. STACOM@MICCAI (2019)
Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information. FIMH (2019)
Gaëtan Desrues, Hervé Delingette, Maxime Sermesant
Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations. STACOM@MICCAI (2019)
Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction. Medical Image Anal. 45 (2018)
Yitian Zhou, Sophie Giffard-Roisin, Mathieu De Craene, Sorina Camarasu-Pop, Jan D'hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, Olivier Bernard
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients. IEEE Trans. Medical Imaging 37 (3) (2018)
Kristin McLeod, Kristin Tøndel, Lilian Calvet, Maxime Sermesant, Xavier Pennec
Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. IEEE Trans. Biomed. Eng. 65 (12) (2018)
Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. ShapeMI@MICCAI (2018)
Nicolas Duchateau, Maxime Sermesant, Herve Delingette, Nicholas Ayache
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. IEEE Trans. Medical Imaging 37 (3) (2018)
Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Alejandro Alcaine, Rafael Sebastián, Sophie Giffard-Roisin, Maxime Sermesant, Antonio Berruezo, Damian Sánchez-Quintana, Oscar Camara
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. CoRR (2018)
Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. STACOM@MICCAI (2018)
Rashed Karim, Lauren-Emma Blake, Jiro Inoue, Qian Tao, Shuman Jia, Richard James Housden, Pranav Bhagirath, Jean-Luc Duval, Marta Varela, Jonathan M. Behar, Loïc Cadour, Rob J. van der Geest, Hubert Cochet, Maria Drangova, Maxime Sermesant, Reza Razavi, Oleg V. Aslanidi, Ronak Rajani, Kawal S. Rhode
Algorithms for left atrial wall segmentation and thickness - Evaluation on an open-source CT and MRI image database. Medical Image Anal. 50 (2018)
Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. CoRR (2018)
Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastián, Sophie Giffard-Roisin, Rocío Cabrera Lozoya, Maxime Sermesant, Antonio Berruezo, Damian Sánchez-Quintana, Oscar Camara
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. FIMH (2017)
Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Herve Delingette, Reza Razavi, Nicholas Ayache, Maxime Sermesant
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Roch Molléro, Jakob A. Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, Maxime Sermesant
Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. FIMH (2017)
Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N. Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches. IEEE Trans. Biomed. Eng. 64 (10) (2017)
Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant
Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Trans. Biomed. Eng. 64 (7) (2017)
Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Mark D. O'Neill, Pierre Jaïs, Stéphane Cotin, Hervé Delingette
Interactive training system for interventional electrocardiology procedures. Medical Image Anal. 35 (2017)
Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, C. Aldo Rinaldi, Nicholas Ayache, Reza Razavi, Maxime Sermesant
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. FIMH (2017)
Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. FIMH (2017)
Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, Maxime Sermesant
Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. FIMH (2017)
Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. STACOM@MICCAI (2017)
Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi
Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts. STACOM@MICCAI (2017)
Èric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu De Craene, Hernán G. Morales
Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. FIMH (2017)
Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec
SVF-Net: Learning Deformable Image Registration Using Shape Matching. MICCAI (1) (2017)
Walther H. W. Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, YingLiang Ma, Nicholas Ayache, Maxime Sermesant, Herve Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, Christopher Aldo Rinaldi, Olaf Dössel
ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical Biol. Eng. Comput. 55 (6) (2017)
Kristin McLeod, Maxime Sermesant, Xavier Pennec
Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. FIMH (2017)
Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob A. Hauser, Dilveer Panesar, Alexander Jones, Andrew Mayall Taylor, Marcus Kelm, Titus Kühne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, Maxime Sermesant
Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. MICCAI (2) (2017)
Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, Maxime Sermesant
Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study. STACOM@MICCAI (2016)
Sebastian Ferguson, Maxime Sermesant, Samuel O. Oduneye, Sophie Giffard-Roisin, Michael V. Truong, Labonny Biswas, Nicholas Ayache, Graham A. Wright, Mihaela Pop
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models. STACOM@MICCAI (2016)
Martino Alessandrini, Brecht Heyde, Sandro F. Queiros, Szymon Cygan, Maria Zontak, Oudom Somphone, Olivier Bernard, Maxime Sermesant, Hervé Delingette, Daniel Barbosa, Mathieu De Craene, Matthew O'Donnell, Jan D'hooge
Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Trans. Medical Imaging 35 (8) (2016)
Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking. MICCAI (3) (2016)
Marc-Michel Rohé, Roch Molléro, Maxime Sermesant, Xavier Pennec
Highly reduced model of the cardiac function for fast simulation. IVMSP (2016)
Shuman Jia, Loïc Cadour, Hubert Cochet, Maxime Sermesant
STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour. STACOM@MICCAI (2016)
Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, Maxime Sermesant
A Multiscale Cardiac Model for Fast Personalisation and Exploitation. MICCAI (3) (2016)
Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta. BMC Medical Imaging 16 (2016)
Yitian Zhou, Mathieu De Craene, Oudom Somphone, Maxime Sermesant, Olivier Bernard
Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms. SASHIMI@MICCAI (2016)
Yitian Zhou, Mathieu De Craene, Maxime Sermesant, Olivier Bernard
Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. STACOM@MICCAI (2016)
Nicolas Duchateau, Mathieu De Craene, Pascal Allain, Eric Saloux, Maxime Sermesant
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space. IEEE Trans. Medical Imaging 35 (10) (2016)
Kristin McLeod, Maxime Sermesant, Philipp Beerbaum, Xavier Pennec
Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Trans. Medical Imaging 34 (7) (2015)
Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Herve Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu De Craene, Jan D'hooge
Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. ISBI (2015)
Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH (2015)
Martino Alessandrini, Adrian Basarab, Mathieu De Craene, Maxime Sermesant, Hervé Liebgott, Olivier Bernard, Jan D'hooge
The role of the image phase in cardiac strain imaging. EUSIPCO (2015)
Nicolas Duchateau, Maxime Sermesant
Prediction of Infarct Localization from Myocardial Deformation. STACOM@MICCAI (2015)
Kristin McLeod, Maxime Sermesant, Philipp Beerbaum, Xavier Pennec
Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. MICCAI (3) (2015)
Martino Alessandrini, Mathieu De Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Irina Wächter-Stehle, Jürgen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, Jan D'hooge
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database. IEEE Trans. Medical Imaging 34 (7) (2015)
Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal? STACOM@MICCAI (2015)
Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. STACOM@MICCAI (2015)
Romain Guibert, Kristin McLeod, Alfonso Caiazzo, Tommaso Mansi, Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, Irene E. Vignon-Clementel, Younes Boudjemline, Jean-Frédéric Gerbeau
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]. Medical Image Anal. 18 (2) (2014)
Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Stephane Cotin, Hervé Delingette
Interactive Training System for Interventional Electrocardiology Procedures. ISBMS (2014)
Mathieu De Craene, Martino Alessandrini, Pascal Allain, Stéphanie Marchesseau, Irina Wächter-Stehle, Jürgen Weese, Eric Saloux, Hernán G. Morales, Rémi Cuingnet, Hervé Delingette, Maxime Sermesant, Olivier Bernard, Jan D'hooge
Generation of ultra-realistic synthetic echocardiographic sequences. ISBI (2014)
Antonio R. Porras, Martino Alessandrini, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Hervé Delingette, Maxime Sermesant, Jan D'hooge, Alejandro F. Frangi, Gemma Piella
Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Trans. Medical Imaging 33 (11) (2014)
Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. MCV (2014)
Sophie Giffard-Roisin, Stéphanie Marchesseau, Loïc Le Folgoc, Hervé Delingette, Maxime Sermesant
Evaluation of Personalised Canine Electromechanical Models. STACOM (2014)
Romain Guibert, Kristin McLeod, Alfonso Caiazzo, Tommaso Mansi, Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, Irene E. Vignon-Clementel, Younes Boudjemline, Jean-Frédéric Gerbeau
Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images. Medical Image Anal. 18 (1) (2014)

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Publication Activity (10 Years)

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Maxime Sermesant