Publications of Maxime Sermesant

1. Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair Young, and Olivier Bernard, editors. Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, France, 2017. Springer. [bibtex-entry]



2. Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and Alistair Young, editors. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, volume 8896 of Lecture Notes in Computer Science, Boston, United States, 2015. Springer. [bibtex-entry]



3. Oscar Camara, M. Pop, Kawal Rhode, Maxime Sermesant, Nic Smith, and Alistair A. Young, editors. Statistical Atlases and Computational Models of the Heart, First International Workshop, STACOM 2010, and Cardiac Electrophysiological Simulation Challenge, CESC 2010, volume 6364 of LNCS, 2010. Springer. Note: Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. ISBN: 978-3-642-15834-6. [bibtex-entry]



4. Nicholas Ayache, Hervé Delingette, and Maxime Sermesant, editors. Functional Imaging and Modeling of the Heart - FIMH 2009, volume 5528 of LNCS, Nice, France, June 2009. Springer. Note: 537 pages. [bibtex-entry]

1. Maxime Sermesant. When Cardiac Biophysics Meets Groupwise Statistics: Complementary Modelling Approaches for Patient-Specific Medicine. Habilitation à diriger des recherches, Université de Nice - Sophia Antipolis, June 2016. Keyword(s): cardiac modelling, biophysics, statistics, machine learning, modélisation cardiaque. [bibtex-entry]



2. M. Sermesant. Modèle électromécanique du coeur pour l'analyse d'image et la simulation (Electromechanical Model of the Heart for Image Analysis and Simulation). PhD thesis, Université de Nice Sophia Antipolis, May 2003. [bibtex-entry]

1. Nicolas Cedilnik, Mihaela Pop, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity. JACC: Clinical Electrophysiology, September 2023. Keyword(s): Cardiac modeling, Electrophysiology modeling, CT, Ventricular tachycardia, Medical simulation. [bibtex-entry]



2. Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, and Maxime Sermesant. Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning. Interface Focus, 13(6), December 2023. Keyword(s): Physics-based learning, Deep Learning, Cardiac electrophysiology, Simulations. [bibtex-entry]



3. Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan O'regan, and Maxime Sermesant. Outcome Prediction. In AI and Big Data in Cardiology : A Practical Guide, pages 105-133. Springer International Publishing, May 2023. [bibtex-entry]



4. Carlos Albors, Èric Lluch, Juan Francisco Gomez, Nicolas Cedilnik, Konstantinos Mountris, Tommaso Mansi, Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, Esther Pueyo, Maxime Sermesant, Rafael Sebastian, Hernán Morales, and Oscar Camara. Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy-Benchmark Analysis with Finite-Element Methods in Experimental Data. Applied Sciences, 12(13):6438, July 2022. [bibtex-entry]



5. Tania Marina Bacoyannis, Buntheng Ly, H Cochet, and Maxime Sermesant. Deep learning formulation of ECGI evaluated on clinical data. EP-Europace, 24(Supplement_1), May 2022. Keyword(s): Electrocardiography, Inverse Problem, Deep learning, Computational Modelling, Generative Model, Data Processing, Clinical Evaluation. [bibtex-entry]



6. Mathilde Merle, Florent Collot, Julien Castelneau, Pauline Migerditichan, Mehdi Juhoor, Buntheng Ly, Valery Ozenne, Bruno Quesson, Nejib Zemzemi, Yves Coudière, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy. Applied Sciences, 12(12):6145, June 2022. Keyword(s): cardiac imaging, multimodal, electrophysiology, deep learning, biophysical modelling, inverse problems. [bibtex-entry]



7. M Nuñez-Garcia, S Finsterbach, Buntheng Ly, Marco Lorenzi, H Cochet, and Maxime Sermesant. Long-term remodelling and arrhythmogenicity after myocardial infarction using a novel image-based estimator: the Scar Maturation Score. EP-Europace, 24(Supplement_1), May 2022. [bibtex-entry]



8. Tania Bacoyannis, Buntheng Ly, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation. EP-Europace, 23(Supplement_1):i55-i62, March 2021. Keyword(s): Electrocardiographic Imaging, Inverse Problem, Deep learning, Computational Modelling, Generative Model. [bibtex-entry]



9. Jaume Banus, Marco Lorenzi, Oscar Camara, and Maxime Sermesant. Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Analysis, 72, August 2021. Keyword(s): Lumped model, Cardiovascular modelling, Personalisation, White matter damage, Atrial fibrillation, Heart-Brain interaction. [bibtex-entry]



10. Marie Deprez, Julien Moreira, Maxime Sermesant, and Marco Lorenzi. Decoding genetic markers of multiple phenotypic layers through biologically constrained Genome-to-Phenome Bayesian Sparse Regression. Frontiers in Molecular Medicine, 2021. Keyword(s): Bayesian, Variational Dropout, Genome, Phenome, Regression, Biological constraint. [bibtex-entry]



11. Nicolas Duchateau, Pamela Moceri, and Maxime Sermesant. Direction-dependent decomposition of 3D right ventricular motion: beware of approximations. Journal of The American Society of Echocardiography, 34(2):201-203, 2021. [bibtex-entry]



12. Shuman Jia, Hubert Nivet, Josquin Harrison, Xavier Pennec, Claudia Camaioni, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Left atrial shape is independent predictor of arrhythmia recurrence after catheter ablation for atrial fibrillation: A shape statistics study. Heart Rhythm O2, 2(6):622-632, December 2021. Keyword(s): Atrial fibrillation, Catheter ablation, CT, Left atrial shape, Recurrence, Statistical shape modeling. [bibtex-entry]



13. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Sok Sithikun Bun, Emile Ferrari, and Maxime Sermesant. Additional prognostic value of echocardiographic follow-up in pulmonary hypertension - role of 3D right ventricular area strain. European Heart Journal - Cardiovascular Imaging, 2021. Keyword(s): Pulmonary hypertension, right ventricular function, 3D echocardiography, myocardial deformation imaging. [bibtex-entry]



14. Pamela Moceri, Nicolas Duchateau, Benjamin Sartre, Delphine Baudouy, Fabien Squara, Maxime Sermesant, and Emile Ferrari. Value of 3D right ventricular function over 2D assessment in acute pulmonary embolism. Echocardiography, 2021. Keyword(s): pulmonary embolism, right ventricular function, 3D echocardiography, speckle-tracking. [bibtex-entry]



15. Maxime Sermesant, Hervé Delingette, Hubert Cochet, Pierre Jaïs, and Nicholas Ayache. Applications of artificial intelligence in cardiovascular imaging. Nature Reviews Cardiology, 18:600-609, March 2021. Keyword(s): Cardiology, Machine learning, Medical imaging. [bibtex-entry]



16. Pamela Moceri, Nicolas Duchateau, Stephane Gillon, Lolita Jaunay, Delphine Baudouy, Fabien Squara, Emile Ferrari, and Maxime Sermesant. 3D right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading. European Heart Journal - Cardiovascular Imaging, 2020. [bibtex-entry]



17. Rubén Doste, David Soto-iglesias, Gabriel Bernardino, Alejandro Alcaine, Rafael Sebastian, Sophie Giffard-Roisin, Maxime Sermesant, Antonio Berruezo, Damian Sanchez-quintana, and Oscar Camara. A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. International Journal for Numerical Methods in Biomedical Engineering, 35(4), March 2019. Keyword(s): Rule-based method, Fiber orientation, Outflow tract, Septum, Electrophysiological simulations, Outflow tract ventricular arrhythmia. [bibtex-entry]



18. Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, and Maxime Sermesant. Population-based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases. International Journal for Numerical Methods in Biomedical Engineering, 35(2):e3158, February 2019. Keyword(s): Cardiac Electromechanical Modeling, Parameter Estimation, Personalised modeling, Parameter Selection. [bibtex-entry]



19. Maxime Sermesant. Improving Cardiac Arrhythmia Therapy with Medical Imaging. ERCIM News, (118):10-11, July 2019. [bibtex-entry]



20. Masateru Takigawa, Josselin Duchateau, Frederic Sacher, Ruairidh Martin, Konstantinos Vlachos, Takeshi Kitamura, Maxime Sermesant, Nicolas Cedilnik, Ghassen Cheniti, Antonio Frontera, Nathaniel Thompson, Calire Martin, Grégoire Massoullié, Felix Bourier, Anna Lam, Michael Wolf, William Escande, Clémentine André, Thomas Pambrun, Arnaud Denis, Nicolas Derval, Mélèze Hocini, Michel Haïssaguerre, Hubert Cochet, and Pierre Jaïs. Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia?. Heart Rhythm, 16(11):1661-1668, June 2019. Keyword(s): Wall thickness, Isthmus, High-resolution mapping, Contrart-enhanced multidetector computed tomography, MUSIC, Myocardial infarction, Ventricular tachycardia. [bibtex-entry]



21. Martino Alessandrini, Bidisha Chakraborty, Brecht Heyde, Olivier Bernard, Mathieu de Craene, Maxime Sermesant, and Jan d'Hooge. Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 65(3):411-422, March 2018. [bibtex-entry]



22. Olivier Bernard, Alain Lalande, Clement Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Angel Gonzalez Ballester, Gerard Sanroma, Sandy Napel, Steffen Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jager, Klaus H Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Chrisitan Baumgartner, Lisa Koch, Jelmer Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, and Pierre-Marc Jodoin. Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?. IEEE Transactions on Medical Imaging, 37(11):2514-2525, May 2018. Keyword(s): MRI, Lleft and right ventricles, Cardiac segmentation and diagnosis, Myocardium, Deep learning. [bibtex-entry]



23. Rocio Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, and Maxime Sermesant. Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images. IEEE Transactions on Biomedical Engineering, pp 1, March 2018. Keyword(s): intracardiac electrogram modelling, cardiac elec-, Index Terms-radio-frequency ablation planning, trophysiology modelling, electroanatomical mapping. [bibtex-entry]



24. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning. EP-Europace, 20, November 2018. Keyword(s): Computed Tomography, Computational Modelling, Catheter Ablation, Myocardial Infarction, Sudden Cardiac Death, Electrophysiology. [bibtex-entry]



25. Nicolas Duchateau, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases. IEEE Transactions on Medical Imaging, 37:755-766, 2018. Keyword(s): validation, magnetic resonance., biomechanical modeling, Image synthesis and simulation, myocardial infarct, large database for machine learning. [bibtex-entry]



26. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A Rinaldi, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy. IEEE Transactions on Biomedical Engineering, 20, 2018. Keyword(s): Cardiac Electrophysiology, Inverse Problem of ECG, Personalisation, ECG Imaging, Index Terms-Cardiac Electrophysiology, In- verse Problem of ECG. [bibtex-entry]



27. Rashed Karim, Lauren-Emma Blake, Jiro Inoue, Qian Tao, Shuman Jia, R. James James Housden, Pranav Bhagirath, Jean-Luc Duval, Marta Varela, Jonathan Behar, Loïc Cadour, Rob J van Der Geest, Hubert Cochet, Maria Drangova, Maxime Sermesant, Reza Razavi, Oleg Aslanidi, Ronak Rajani, and Kawal S. Rhode. Algorithms for left atrial wall segmentation and thickness -- Evaluation on an open-source CT and MRI image database. Medical Image Analysis, 50:36 - 53, December 2018. Keyword(s): Myocardium, Left atrial wall thickness, Left atrium, Atrial fibrillation. [bibtex-entry]



28. Kristin Mcleod, Kristin Tondel, Lilian Calvet, M Sermesant, and Xavier Pennec. Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. IEEE Transactions on Biomedical Engineering, 65(12):2769 - 2780, December 2018. Keyword(s): tensor decomposition, evolution modelling, Cardiac motion tracking, non-rigid image registration, spatio-temporal alignment, N-way PLS, atlas, population statistics, Tetralogy of Fallot. [bibtex-entry]



29. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Elie-Dan Schouver, Sylvie Leroy, Fabien Squara, Emile Ferrari, and Maxime Sermesant. Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension. European Heart Journal - Cardiovascular Imaging, 19:450-458, 2018. Keyword(s): pulmonary hypertension, speckle-tracking imaging, three-dimensional echocardiography. [bibtex-entry]



30. Pamela Moceri, Maxime Sermesant, Delphine Baudouy, Emile Ferrari, and Nicolas Duchateau. Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot. Canadian Journal of Cardiology, 34(10):1369.e9 - 1369.e11, October 2018. Keyword(s): Pregnancy, Echocardiography, Right Ventricular Function, 3D speckle-tracking imaging, Key-words: Tetralogy of Fallot. [bibtex-entry]



31. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Low-Dimensional Representation of Cardiac Motion Using Barycentric Subspaces: a New Group-Wise Paradigm for Estimation, Analysis, and Reconstruction. Medical Image Analysis, 45:1-12, April 2018. Keyword(s): Cardiac motion, Low-dimensional analysis, Registration, Image synthesis. [bibtex-entry]



32. Avan A Suinesiaputra, Pierre A Ablin, Xènia A Albà, Martino Alessandrini, Jack A Allen, Wenjia Bai, Serkan Cimen, Peter Claes, Brett R Cowan, Jan d'Hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali A Gooya, Vicente Grau, Karim Lekadir, Allen A Lu, Anirban A Mukhopadhyay, Ilkay Oksuz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel R Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A Tsaftaris, Matthias Wilms, Alistair A Young, Xingyu Zhang, and Pau Medrano-Gracia. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE Journal of Biomedical and Health Informatics, 22(3):503-515, March 2018. Keyword(s): statistical shape analysis, classification, myocardial infarct, Cardiac modeling. [bibtex-entry]



33. Yitian Zhou, Sophie Giffard-Roisin, Mathieu de Craene, Sorina Camarasu-Pop, Jan d'Hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, and Olivier Bernard. A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients. IEEE Transactions on Medical Imaging, 37(3):741-754, 2018. Keyword(s): cardiac strain, Multimodal cardiac imaging, synthetic sequences, electromechanical model, motion estimation, numerical simulation. [bibtex-entry]



34. Jan L. Bruse, Elena Cervi, Kristin Mcleod, Giovanni Biglino, Maxime Sermesant, Xavier Pennec, Andrew Taylor, Silvia Schievano, and Tain-Yen Hsia. Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes. Annals of Thoracic Surgery, 103(2):645 - 654, February 2017. [bibtex-entry]



35. Jan L. Bruse, Abbas Khushnood, Kristin Mcleod, Giovanni Biglino, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, Tain-Yen Hsia, and Silvia Schievano. How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function. Journal of Thoracic and Cardiovascular Surgery, 153(2):418 - 427, February 2017. [bibtex-entry]



36. Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin Mcleod, Hopewell N. Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, and Silvia Schievano. Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches. IEEE Transactions on Biomedical Engineering, pp 1 - 13, February 2017. [bibtex-entry]



37. Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Hervé Delingette, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping. IEEE Transactions on Biomedical Engineering, 64(9):2206 - 2218, September 2017. Note: Selected for the TBME highlights, sept. 2017rlhttps://tbme.embs.org/2017/08/24/non-invasive-personalisation-cardiac-electrophysiology-model-body-surface-potential-mapping/. Keyword(s): ECG Imaging, Parameter estimation, In- verse Problem of ECG, Cardiac Electrophysiology, Personalisation. [bibtex-entry]



38. Roch Molléro, Xavier Pennec, Hervé Delingette, Alan Garny, Nicholas Ayache, and Maxime Sermesant. Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models. Biomechanics and Modeling in Mechanobiology, pp 1-16, September 2017. Keyword(s): Finite Element Mechanical modeling, Parameter Estimation, Reduced Model, Cardiac Electromechanical Modeling, Multi-fidelity Modeling. [bibtex-entry]



39. Walther Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, Yingliang Ma, Nicholas Ayache, Maxime Sermesant, Hervé Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, and Christopher A. Rinaldi. ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical and Biological Engineering and Computing, 55(6):979 - 990, June 2017. Keyword(s): Clinical validation, Non-contact mapping, ECG imaging, Ventricular tachycardia, Inverse problem of ECG. [bibtex-entry]



40. Martino Alessandrini, Brecht Heyde, Sandro Queirós, Szymon Cygan, Maria Zontak, Oudom Somphone, Olivier Bernard, Maxime Sermesant, Hervé Delingette, Daniel Barbosa, Mathieu de Craene, Matthew O'Donnell, and Jan d'Hooge. Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Transactions on Medical Imaging, 35(8):1915-1926, 2016. [bibtex-entry]



41. Jan L. Bruse, Kristin Mcleod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, and 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(1), May 2016. [bibtex-entry]



42. Jan Bruse, Hopewell Ntsinjana, Claudio Capelli, Giovanni Biglino, Kristin Mcleod, Maxime Sermesant, Xavier Pennec, Tain-Yen Hsia, Silvia Schievano, and Andrew Taylor. CMR-based 3D statistical shape modelling reveals left ventricular morphological differences between healthy controls and arterial switch operation survivors. Journal of Cardiovascular Magnetic Resonance, 18(S1), December 2016. [bibtex-entry]



43. Rocìo Cabrera-Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, and Maxime Sermesant. Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Transactions on Biomedical Engineering, PP(99), 2016. Keyword(s): electroanatomical mapping, intracar-diac electrogram modelling, radiofrequency ablation planning, cardiac electrophysiology modelling. [bibtex-entry]



44. Radomir Chabiniok, Vicky Y. Wang, Myrianthi Hadjicharalambous, Liya Asner, Jack Lee, Maxime Sermesant, Ellen Kuhl, Alistair A. Young, Philippe Moireau, Martyn P. Nash, Dominique Chapelle, and David Nordsletten. Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics. Interface Focus, 6(2), 2016. Keyword(s): translational cardiac modelling, patient-specific modelling, heart mechanics, cardiac mechanics, data-model fusion. [bibtex-entry]



45. Zhong Chen, Rocìo Cabrera-Lozoya, Jatin Relan, Manav Sohal, Anoop Shetty, Rashed Karim, Hervé Delingette, Jaswinder Gill, Kawal Rhode, Nicholas Ayache, Peter Taggart, Christopher Aldo Rinaldi, Maxime Sermesant, and Reza Razavi. Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach. Journal of Cardiovascular Electrophysiology, 27(7):851-860, 2016. Keyword(s): cardiac magnetic resonance imaging, conductivity, APD restitution, computer modelling, Ventricular tachycardia. [bibtex-entry]



46. Nicolas Duchateau, Mathieu de Craene, Pascal Allain, Eric Saloux, and Maxime Sermesant. Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space. IEEE Transactions on Medical Imaging, 35(10):2340-2352, 2016. Keyword(s): biomechanical modeling, delayed-enhancement, pattern recognition & classification, Index Terms-Myocardial infarct, dimensionality reduction, computer-aided diagnosis, ultrasound. [bibtex-entry]



47. Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Training System for Interventional Electrocardiology Procedures. Medical Image Analysis, 8789:11-19, 2016. Keyword(s): Endovascular Navigation, Training Simulator, Interactive Simulation, Real-Time Electrophysiology. [bibtex-entry]



48. Seigo Yamashita, Hubert Cochet, Frédéric Sacher, Saagar Mahida, Benjamin Berte, Darren Hooks, Jean-Marc Sellal, Nora Al Jefairi, Antonio Frontera, Yuki Komatsu, Han S Lim, Sana Amraoui, Arnaud Denis, Nicolas Derval, Maxime Sermesant, François Laurent, Mélèze Hocini, Michel Haïssaguerre, Michel Montaudon, and Pierre Jais. Impact of New Technologies and Approaches for Post--Myocardial Infarction Ventricular Tachycardia Ablation During Long-Term Follow-Up. Circulation. Arrhythmia and electrophysiology, 9(7), July 2016. Keyword(s): Myocardial infarction, Infarction, Heart failure, Catheter ablation, Ventricular tachycardia. [bibtex-entry]



49. Seigo Yamashita, Frédéric Sacher, Saagar Mahida, Benjamin Berte, Han S Lim, Yuki Komatsu, Sana Amraoui, Arnaud Denis, Nicolas Derval, François Laurent, Maxime Sermesant, Michel Montaudon, Mélèze Hocini, Michel Haïssaguerre, Pierre Jais, and Hubert Cochet. Image Integration to Guide Catheter Ablation in Scar-Related Ventricular Tachycardia. Journal of Cardiovascular Electrophysiology, 27(6):699 - 708, June 2016. Keyword(s): Scar-related ventricular tachycardia, Ablation, CMR, MDCT, Imaging. [bibtex-entry]



50. Martino Alessandrini, Mathieu de Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Juergen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, and Jan d'Hooge. A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.. IEEE Transactions on Medical Imaging, 34(7):1436-1451, 2015. [bibtex-entry]



51. Hubert Cochet, Arnaud Denis, Yuki Komatsu, Amir S. Jadidi, Tassadit Aït Ali, Frédéric Sacher, Nicolas Derval, Jatin Relan, Maxime Sermesant, Olivier Corneloup, Mélèze Hocini, Michel Haïssaguerre, François Laurent, Michel Montaudon, and Pierre Jaïs. Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy. Radiology, 275(3):683-91, June 2015. [bibtex-entry]



52. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Transactions on Medical Imaging, 34(7):1562-1675, July 2015. Keyword(s): cardiac modelling, atlas, non-rigid image registration, motion tracking, population statistics, tensor decomposition, spatio-temporal alignment, Tetralogy of Fallot. [bibtex-entry]



53. Ken C.L. Wong, Maxime Sermesant, Kawal Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, and Nicholas Ayache. Velocity-based cardiac contractility personalization from images using derivative-free optimization. Journal of the mechanical behavior of biomedical materials, 43:35-52, March 2015. Keyword(s): parameter estimation, model personalization, derivative-free optimization, Cardiac contractility, cardiac electromechanical model. [bibtex-entry]



54. Romain Guibert, Kristin Mcleod, Alfonso Caiazzo, Tommaso Mansi, Miguel Angel Fernández, Maxime Sermesant, Xavier Pennec, Irene Vignon-Clementel, Younes Boudjemline, and Jean-Frédéric Gerbeau. Group-wise Construction of Reduced Models for Understanding and Characterization of Pulmonary Blood Flows from Medical Images. Medical Image Analysis, 18(1):63-82, 2014. Keyword(s): Computational fluid dynamics, Pulmonary artery, Tetralogy of Fallot, Atlas construction, Proper orthogonal decomposition. [bibtex-entry]



55. Y. Komatsu, A. Jadidi, F. Sacher, A. Denis, M. Daly, N. Derval, A. Shah, H. Lehrmann, C.-I. Park, R. Weber, T. Arentz, G. Pache, Maxime Sermesant, Nicholas Ayache, J. Relan, M. Montaudon, F. Laurent, M. Hocini, M. Haissaguerre, P. Jais, and Hubert Cochet. Relationship Between MDCT-Imaged Myocardial Fat and Ventricular Tachycardia Substrate in Arrhythmogenic Right Ventricular Cardiomyopathy. Journal of the American Heart Association, 3(4):10, 2014. [bibtex-entry]



56. Antonio Porras, Martino Alessandrini, Mathieu de Craene, Nicolas Duchateau, Marta Sitges, Bart Bijnens, Hervé Delingette, Maxime Sermesant, Jan d'Hooge, Alejandro Frangi, and Gemma Piella. Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Transactions on Medical Imaging, 33(11):2098 - 2106, June 2014. Keyword(s): Echocardiography, free form deformation (FFD), image registration, motion estimation. [bibtex-entry]



57. Adityo Prakosa, Maxime Sermesant, Pascal Allain, Nicolas Villain, Christopher Aldo Rinaldi, Kawal Rhode, Reza Razavi, Hervé Delingette, and Nicholas Ayache. Cardiac Electrophysiological Activation Pattern Estimation from Images using a Patient-Specific Database of Synthetic Image Sequences. IEEE Transactions on Biomedical Engineering, 61(2):235 - 245, 2014. [bibtex-entry]



58. A. Frangi, Denis Friboulet, Nicholas Ayache, H. Delingette, T. Glatard, C. Hoogendoorn, L. Humbert, K. Lekadir, I. Larrabide, Y. Martelli, F. Peyrin, X. Planes, Maxime Sermesant, M.C. Villa-Uriol, T. Whitmarsh, and D. Atkinson. Image Based Modelling. In Peter Coveney, Vanessa Diaz, Peter Hunter, and Marco Viceconti, editors, Computational Biomedicine, pages 59 - 82. Oxford University Press, 2014. [bibtex-entry]



59. Hubert Cochet, Y. Komatsu, F. Sacher, A. Jadidi, D. Scherr, M. Riffaud, N. Derval, A. Shah, L. Roten, P. Pascale, Jatin Relan, Maxime Sermesant, Nicholas Ayache, M. Montaudon, F. Laurent, M. Hocini, M. Haïssaguerre, and Pierre Jaïs. Integration of Merged Delayed-Enhanced Magnetic Resonance Imaging and Multi-Detector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study. Journal of Cardiovascular Electrophysiology, 24(4):419-426, April 2013. [bibtex-entry]



60. Amir S. Jadidi, Hubert Cochet, Ashok J. Shah, Steven J. Kim, Edward Duncan, Shinsuke Miyazaki, Maxime Sermesant, Heiko Lehrmann, Matthieu Lederlin, Nick Linton, Andrei Forclaz, Isabelle Nault, Lena Rivard, Matthew Wright, Xingpeng Liu, Daniel Scherr, Stephen B. Wilton, Laurent Roten, Patrizio Pascale, Nicolas Derval, Frédéric Sacher, Sebastian Knecht, Cornelius Keyl, Mélèze Hocini, Michel Montaudon, François Laurent, Michel Haïssaguerre, and Pierre Jaïs. Inverse relationship between fractionated electrograms and atrial fibrosis in persistent atrial fibrillation: combined magnetic resonance imaging and high-density mapping. Journal of the American College of Cardiology, 62(9):802-812, 2013. [bibtex-entry]



61. Yuki Komatsu, Hubert Cochet, Amir Jadidi, Frédéric Sacher, Ashok Shah, Nicolas Derval, Daniel Scherr, Patrizio Pascale, Laurent Roten, Arnaud Denis, Khaled Ramoul, Shinsuke Miyazaki, Matthew Daly, Matthieu Riffaud, Maxime Sermesant, Jatin Relan, Nicholas Ayache, Steven Kim, Michel Montaudon, François Laurent, Mélèze Hocini, Michel Haïssaguerre, and Pierre Jaïs. Regional myocardial wall thinning at multidetector computed tomography correlates to arrhythmogenic substrate in postinfarction ventricular tachycardia: assessment of structural and electrical substrate. Circulation. Arrhythmia and electrophysiology, 6(2):342-350, 2013. [bibtex-entry]



62. Benedetta Leonardi, Andrew Taylor, Tommaso Mansi, Ingmar Voigt, Maxime Sermesant, Xavier Pennec, Nicholas Ayache, Younes Boudjemline, and Giacomo Pongiglione. Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?. European Heart Journal - Cardiovascular Imaging, 14(4):381-6, April 2013. [bibtex-entry]



63. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Rocio Cabrera Lozoya, Catalina Tobon-Gomez, Philippe Moireau, Rosa Maria Figueras I Ventura, Karim Lekadir, Alfredo Hernandez, Mireille Garreau, Erwan Donal, Christophe Leclercq, Simon G. Duckett, Kawal Rhode, Christopher Aldo Rinaldi, Alejandro F. Frangi, Reza Razavi, Dominique Chapelle, and Nicholas Ayache. Personalization of a Cardiac Electromechanical Model using Reduced Order Unscented Kalman Filtering from Regional Volumes. Medical Image Analysis, 17(7):816-829, May 2013. [bibtex-entry]



64. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Michel Sorine, Kawal Rhode, Simon G. Duckett, Christopher Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Preliminary Specificity Study of the Bestel-Clément-Sorine Electromechanical Model of the Heart using Parameter Calibration from Medical Images. Journal of the mechanical behavior of biomedical materials, 20:259-271, 2013. [bibtex-entry]



65. Katja E. Odening, Bernd A. Jung, Corinna N. Lang, Rocio Cabrera Lozoya, David Ziupa, Marius Menza, Jatin Relan, Gerlind Franke, Stefanie Perez Feliz, Gideon Koren, Manfred Zehender, Christoph Bode, Michael Brunner, Maxime Sermesant, and Daniela Föll. Spatial Correlation of Action Potential Duration and Diastolic Dysfunction in Transgenic and Drug-induced LQT2 Rabbits. Heart Rhythm, 10(10):1533-1541, 2013. Note: Focus Issue: Sudden Cardiac Death. [bibtex-entry]



66. A. Prakosa, Maxime Sermesant, H. Delingette, S. Marchesseau, E. Saloux, Pascal Allain, N. Villain, and Nicholas Ayache. Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images. IEEE Transactions on Medical Imaging, 32(1):99-109, January 2013. [bibtex-entry]



67. Hugo Talbot, Stéphanie Marchesseau, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Towards an Interactive Electromechanical Model of the Heart. Interface Focus, 3(2):4, April 2013. Keyword(s): electrophysiology cardiac mechanics training simulation interactive SOFA framework. [bibtex-entry]



68. Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastian, Stéphanie Marchesseau, Oscar Camara, Erwan Donal, Mathieu de Craene, Ali Pashaei, Jatin Relan, Martin Steghofer, Pablo Lamata, Hervé Delingette, Simon G. Duckett, Mireille Garreau, Alfredo Hernandez, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas P. Smith, and Alejandro F. Frangi. Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical and Biological Engineering and Computing, pp 1-16, 2013. [bibtex-entry]



69. Catalina Tobon-Gomez, Mathieu de Craene, Kristin Mcleod, Lennart Tautz, Wenzhe Shi, Anja Hennemuth, Adityo Prakosa, Hengui Wang, Gerald Carr-White, Sergio Kapetanakis, Albert Lutz, Vernon Rasche, Tobias Schaeffter, Constantin Butakoff, Oskar Friman, Tommaso Mansi, Maxime Sermesant, Xiahai Zhuang, Sébastien Ourselin, Hans Otto Peitgen, Xavier Pennec, Reza Razavi, Daniel Rueckert, Alejandro F. Frangi, and Kawal Rhode. Benchmarking framework for myocardial tracking and deformation algorithms: an open access database. Medical Image Analysis, 17(6):632-648, 2013. [bibtex-entry]



70. Nicolas Toussaint, Christian T. Stoeck, Tobias Schaeffter, Sebastian Kozerke, Maxime Sermesant, and Philip G. Batchelor. In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing. Medical Image Analysis, 2013. Note: In press. Keyword(s): Diffusion tensor imaging. [bibtex-entry]



71. Mathieu de Craene, Stéphanie Marchesseau, Brecht Heyde, Hang Gao, M. Alessandrini, Olivier Bernard, Gemma Piella, Antonio Porras, Lennart Tautz, Anja Hennemuth, Adityo Prakosa, Hervé Liebgott, Oudom Somphone, Pascal Allain, S. Makram Ebeid, Hervé Delingette, Maxime Sermesant, Jan d'Hooge, and Eric Saloux. 3D strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies. IEEE Transactions on Medical Imaging, 32(9):1632 - 1646, 2013. [bibtex-entry]



72. Kristin Mcleod, Tommaso Mansi, Maxime Sermesant, Giacomo Pongiglione, and Xavier Pennec. Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart. In Frederic Cazals and Pierre Kornprobst, editors, Modeling in Computational Biology and Biomedicine, Lectures Notes in Mathematical and Computational Biology, pages 165-191. Springer, 2013. [bibtex-entry]



73. H. Cochet, Y. Komatsu, F. Sacher, A. Jadidi, D. Scherr, M. Riffaud, N. Derval, A. Shah, L. Roten, P. Pascale, Jatin Relan, Maxime Sermesant, Nicholas Ayache, M. Montaudon, F. Laurent, M. Hocini, M. Haïssaguerre, and P. Jaïs. Integration of Merged Delayed-Enhanced Magnetic Resonance Imaging and Multi-Detector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study. Journal of Cardiovascular Electrophysiology, 2012. ISSN: 1540-8167. Keyword(s): ventricular tachycardia, MRI, computed tomography, catheter ablation, myocardial infarction, cardiomyopathy. [bibtex-entry]



74. Hervé Delingette, F. Billet, Ken C. L. Wong, Maxime Sermesant, Kawal Rhode, M. Ginks, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation. Biomedical Engineering, IEEE Transactions on, 59(1):20 -24, jan. 2012. ISSN: 0018-9294. [bibtex-entry]



75. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, and Nicholas Ayache. Fast Parameter Calibration of a Cardiac Electromechanical Model from Medical Images based on the Unscented Transform. Biomechanics and Modeling in Mechanobiology, 2012. [bibtex-entry]



76. M. Pop, Maxime Sermesant, G. Liu, Jatin Relan, Tommaso Mansi, A. Soong, Jean-Marc Peyrat, M.V. Truong, P. Fefer, Elliot R. McVeigh, Hervé Delingette, A.J. Dick, Nicholas Ayache, and G.A Wright. Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation. Medical Image Analysis, 16(2):505-523, February 2012. [bibtex-entry]



77. Maxime Sermesant, R. Chabiniok, P. Chinchapatnam, Tommaso Mansi, F. Billet, P. Moireau, Jean-Marc Peyrat, Ken C. L. Wong, Jatin Relan, Kawal Rhode, M. Ginks, P. Lambiase, Hervé Delingette, M. Sorine, C. Aldo Rinaldi, D. Chapelle, Reza Razavi, and Nicholas Ayache. Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Medical Image Analysis, 16(1):201-215, 2012. [bibtex-entry]



78. Florian Vichot, H. Cochet, Benoit Bleuzé, Nicolas Toussaint, P. Jaïs, and Maxime Sermesant. Cardiac Interventional Guidance using Multimodal Data Processing and Visualisation: medInria as an Interoperability Platform. Midas Journal, 2012. Keyword(s): Standards, Data Formats, Registration, Visualisation. [Abstract] [bibtex-entry]



79. Nicholas Ayache, Olivier Clatz, Hervé Delingette, Grégoire Malandain, Xavier Pennec, and Maxime Sermesant. Vers un patient numérique personnalisé pour le diagnostic et la thérapie guidés par l'image. Médecine / Sciences, 27:208-213, March 2011. [bibtex-entry]



80. N. Ayache, H. Delingette, and M. Sermesant. Le coeur numérique personnalisé. Bulletin de l'Académie Nationale de Médecine, 195(8), November 2011. [bibtex-entry]



81. O. Camara, M. Sermesant, P. Lamata, L. Wang, M. Pop, J. Relan, M. De Craene, H. Delingette, H. Liu, S. Niederer, A. Pashaei, G. Plank, D. Romero, R. Sebastian, K.C.L. Wong, H. Zhang, N. Ayache, A.F. Frangi, P. Shi, N.P. Smith, and G.A. Wright. Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology. Progress in Biophysics and Molecular Biology, 107:122-133, 2011. [bibtex-entry]



82. Hervé Delingette, Florence Billet, Ken C.L. Wong, Maxime Sermesant, S. Rhode, Kawal, Matt Ginks, C.A. Rinaldi, Reza Razavi, and Nicholas Ayache. Personalization of Cardiac Motion and Contractility from Images using Variational Data Assimilation. IEEE Transactions on Biomedical Engineering, 2011. Note: In Press. [Abstract] [bibtex-entry]



83. E. Konukoglu, J. Relan, U. Cilingir, B. Menze, P. Chinchapatnam, A. Jadidi, H. Cochet, M. Hocini, H. Delingette, P. Jaïs, M. Haïssaguerre, N. Ayache, and M. Sermesant. Efficient Probabilistic Model Personalization Integrating Uncertainty on Data and Parameters: Application to Eikonal-Diffusion Models in Cardiac Electrophysiology. Progress in Biophysics and Molecular Biology, 107(1):134-146, October 2011. [bibtex-entry]



84. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues. International Journal of Computer Vision, 92(1):92-111, 2011. [bibtex-entry]



85. Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, Maxime Sermesant, Hervé Delingette, Andrew M. Taylor, Younes Boudjemline, Giacomo Pongiglione, and Nicholas Ayache. A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Transactions on Medical Imaging, 9(30):1605-1616, September 2011. [bibtex-entry]



86. E. Pernod, M. Sermesant, E. Konukoglu, J. Relan, H. Delingette, and N. Ayache. A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation. Computers and Graphics, 35:431-440, 2011. [bibtex-entry]



87. M. Pop, M. Sermesant, T. Mansi, E. Crystal, S. Ghate, J. Peyrat, I. Lashevsky, Beiping Qiang, E. McVeigh, N. Ayache, and G.A. Wright. Correspondence Between Simple 3-D MRI-Based Computer Models and In-Vivo EP Measurements in Swine With Chronic Infarctions. Biomedical Engineering, IEEE Transactions on, 58(12):3483-3486, dec. 2011. ISSN: 0018-9294. [bibtex-entry]



88. Jatin Relan, Phani Chinchapatnam, Maxime Sermesant, Kawal Rhode, Matt Ginks, Hervé Delingette, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Coupled Personalization of Cardiac Electrophysiology Models for Prediction of Ischaemic Ventricular Tachycardia. Journal of the Royal Society Interface Focus, 1(3):396-407, 2011. [bibtex-entry]



89. Jatin Relan, Mihaela Pop, Hervé Delingette, Graham Wright, Nicholas Ayache, and Maxime Sermesant. Personalisation of a Cardiac Electrophysiology Model using Optical Mapping and MRI for Prediction of Changes with Pacing. IEEE Transactions on Bio-Medical Engineering, 58(12):3339-3349, 2011. [bibtex-entry]



90. Kawal Rhode and Maxime Sermesant. Modeling and Registration for Electrophysiology Procedures Based on Three-Dimensional Imaging. Current Cardiovascular Imaging Reports, 4:116-126, 2011. [bibtex-entry]



91. N. Smith, A. de Vecchi, M. McCormick, D. Nordsletten, O. Camara, A.F. Frangi, H. Delingette, M. Sermesant, J. Relan, N. Ayache, M. W. Krueger, W. Schulze, R. Hose, I. Valverde, P. Beerbaum, C. Staicu, M. Siebes, J. Spaan, P. Hunter, J. Weese, H. Lehmann, D. Chapelle, and R. Razavi. euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling. Journal of the Royal Society Interface Focus, 1(3):349-364, 2011. ISSN: 2042-8898. [bibtex-entry]



92. Hervé Delingette and Maxime Sermesant. Le coeur numérique. Doc Sciences, 13:26-33, October 2010. [bibtex-entry]



93. Jean-Marc Peyrat, Hervé Delingette, Maxime Sermesant, Chenyang Xu, and Nicholas Ayache. Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons. IEEE Transactions on Medical Imaging, 29(7):1351-1368, July 2010. [bibtex-entry]



94. Maxime Sermesant and Reza Razavi. Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy. In Roy C.P. Kerckhoffs, editor, Patient-Specific Modeling of the Cardiovascular System, pages 167-182. Springer New York, 2010. ISBN: 978-1-4419-6691-9. Keyword(s): Life Sciences. [bibtex-entry]



95. Mihaela Pop, Maxime Sermesant, D Lepiller, M V Truong, Elliot McVeigh, Eugene Crystal, Alexander Dick, Hervé Delingette, Nicholas Ayache, and Graham Wright. Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study. Medical Image Analysis, 13(2):370-80, April 2009. [bibtex-entry]



96. Nicholas Ayache, Olivier Clatz, Hervé Delingette, Grégoire Malandain, Xavier Pennec, and Maxime Sermesant. Asclepios: a Research Project-Team at INRIA for the Analysis and Simulation of Biomedical Images. In Y. Bertot, G. Huet, J.-J. Lévy, and G. Plotkin, editors, From semantics to computer science: essays in honor of Gilles Kahn, pages 415-436. Cambridge University Press, 2009. [bibtex-entry]



97. Tommaso Mansi, Barbara André, Michael Lynch, Maxime Sermesant, Hervé Delingette, Younes Boudjemline, and Nicholas Ayache. Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model. In Nadia Magnenat-Thalmann, Jian J. Zhang, and David D. Feng, editors, Recent Advances in the 3D Physiological Human, pages 201-210. Springer, November 2009. ISBN: 978-1-84882-564-2. [bibtex-entry]



98. Pierre-Yves Bondiau, Olivier Clatz, Maxime Sermesant, Pierre-Yves Marcy, Hervé Delingette, Marc Frenay, and Nicholas Ayache. Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging. Physics in Medicine and Biology, 53(4):879-93, February 2008. [bibtex-entry]



99. P. Chinchapatnam, K.S. Rhode, M. Ginks, C.A. Rinaldi, P. Lambiase, R. Razavi, S. Arridge, and M. Sermesant. Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy. IEEE Transactions on Medical Imaging, 27(11):1631-1642, 2008. [bibtex-entry]



100. M Sermesant, J M Peyrat, P Chinchapatnam, F Billet, T Mansi, K Rhode, H Delingette, R Razavi, and N Ayache. Toward patient-specific myocardial models of the heart. Heart Failure Clinics, 4(3):289-301, July 2008. [bibtex-entry]



101. Jean-Marc Peyrat, Maxime Sermesant, Xavier Pennec, Hervé Delingette, Chenyang Xu, Eliot R. McVeigh, and Nicholas Ayache. A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts. IEEE Transactions on Medical Imaging, 26(11):1500-1514, November 2007. [bibtex-entry]



102. Valérie Moreau-Villéger, Hervé Delingette, Maxime Sermesant, Hiroshi Ashikaga, Elliot McVeigh, and Nicholas Ayache. Building Maps of Local Apparent Conductivity of the Epicardium with a 2D Electrophysiological Model of the Heart. IEEE Transactions on Bio-Medical Engineering, 53(8):1457-1466, August 2006. [bibtex-entry]



103. Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. An Electromechanical Model of the Heart for Image Analysis and Simulation. IEEE Transactions on Medical Imaging, 25(5):612-625, 2006. [bibtex-entry]



104. Maxime Sermesant, Philippe Moireau, Oscar Camara, Jacques Sainte-Marie, Rado Andriantsimiavona, Robert Cimrman, Derek L. Hill, Dominique Chapelle, and Reza Razavi. Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties. Medical Image Analysis, 10(4):642-656, 2006. [bibtex-entry]



105. Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, Hervé Delingette, Simon K. Warfield, Grégoire Malandain, and Nicholas Ayache. Realistic Simulation of the 3D Growth of Brain Tumors in MR Images Coupling Diffusion with Mass Effect. IEEE Transactions on Medical Imaging, 24(10):1334-1346, October 2005. Keyword(s): Tumor, brain, growth, model, simulation. [Abstract] [bibtex-entry]



106. V Muthurangu, D Atkinson, M Sermesant, M E Miquel, S Hegde, R Johnson, R Andriantsimiavona, A M Taylor, E Baker, R Tulloh, D Hill, and R S Razavi. Measurement of total pulmonary arterial compliance using invasive pressure monitoring and MR flow quantification during MR-guided cardiac catheterization. American journal of physiology. Heart and circulatory physiology, 289(3):1301-1306, September 2005. [Abstract] [bibtex-entry]



107. K. Rhode, M. Sermesant, D. Brogan, S. Hegde, J. Hipwell, P. Lambiase, E. Rosenthal, C. Bucknall, S. Qureshi, J. Gill, R. Razavi, and D. Hill. A system for real-time XMR guided cardiovascular intervention. IEEE Transactions on Medical Imaging, 24(11):1428-1440, 2005. [bibtex-entry]



108. M. Sermesant, K. Rhode, G. Sanchez-Ortiz, O. Camara, R. Andriantsimiavona, S. Hegde, D. Rueckert, P. Lambiase, C. Bucknall, E. Rosenthal, H. Delingette, D. Hill, N. Ayache, and R. Razavi. Simulation of Cardiac Pathologies using an Electromechanical Biventricular Model and XMR Interventional Imaging. Medical Image Analysis, 9(5):467-480, 2005. [bibtex-entry]



109. M. Sermesant, K. Rhode, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Electromechanical Modelling of the Myocardium using XMR Interventional Imaging. Journal of Cardiovascular Magnetic Resonance, 6(1):123-125, 2004. Note: Abstract. [bibtex-entry]



110. J. Montagnat, M. Sermesant, H. Delingette, G. Malandain, and N. Ayache. Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images. Pattern Recognition Letters, 24(4-5):815-828, February 2003. Note: Special Issue on Ultrasonic Image Processing and Analysis. Keyword(s): anisotropic diffusion, 4D, Heart, segmentation, ultrasound, medical images, motion tracking. [bibtex-entry]



111. Maxime Sermesant, Clément Forest, Xavier Pennec, Hervé Delingette, and Nicholas Ayache. Deformable biomechanical models: Application to 4D cardiac image analysis. Medical Image Analysis, 7(4):475-488, December 2003. [bibtex-entry]

1. Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment. In 2023 Computing in Cardiology (CinC), 2023 Computing in Cardiology (CinC), Atlanta (GA), United States, October 2023. Keyword(s): Causal discovery, Drug safety, Ions channel, TdP risk. [bibtex-entry]



2. Yingyu Yang and Maxime Sermesant. Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation. In FIMH 2023 - The 12th International Conference on Functional Imaging and Modeling of The Heart, Lyon, France, June 2023. Keyword(s): Motion Estimation Echocardiography Polyaffine Transformation, Motion Estimation, Echocardiography, Polyaffine Transformation. [bibtex-entry]



3. Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, and Maxime Sermesant. Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. In MIDL 2022 - Medical Imaging with Deep Learning, Zurich, Switzerland, July 2022. Keyword(s): Electrophysiology, Deep learning, Simulations, Physics-based learning. [bibtex-entry]



4. Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, and Maxime Sermesant. APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics. In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Singapore, Singapore, September 2022. Keyword(s): Physics-based learning Deep Learning Electrophysiology Simulations, Physics-based learning, Deep Learning, Electrophysiology, Simulations. [bibtex-entry]



5. Buntheng Ly, Sonny Finsterbach, Marta Nuñez-Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, and Maxime Sermesant. Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network. In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Singapore, Singapore, September 2022. Keyword(s): Graph Neural Network, Ventricular Arrhythmia, Interpretable AI, Cardiac CT. [bibtex-entry]



6. Zihao Wang, Yingyu Yang, Maxime Sermesant, and Hervé Delingette. Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): Unsupervised Registration, MLP, Transformer, Echocardiography. [bibtex-entry]



7. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): ECG analysis, Reconstruction, Explainable ML, Myocardial infarction classification. [bibtex-entry]



8. Francisco J Burgos-Fernández, Buntheng Ly, Fernando Dìaz-Doutón, Meritxell Vilaseca, Jaume Pujol, and Maxime Sermesant. Automatic classification of multispectral eye fundus images using deep learning. In Libro de Resúmenes RNO2021, Online, Spain, November 2021. [bibtex-entry]



9. Gaëtan Desrues, Delphine Feuerstein, Thierry Legay, Serge Cazeau, and Maxime Sermesant. Personal-by-design: a 3D Electromechanical Model of the Heart Tailored for Personalisation. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Stanford, CA, United States, June 2021. Keyword(s): Personalisation, Digital twin, Cardiac electromechanical model, Electrophysiology, Electrocardiogram. [bibtex-entry]



10. Nicolas Guigui, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Cardiac Motion Modeling with Parallel Transport and Shape Splines. In ISBI 2021 - 18th IEEE International Symposium on Biomedical Imaging, IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Nice, France, pages pp. 1394-1397, April 2021. IEEE. Keyword(s): LDDMM, Cardiac Modelling, Shape Analysis. [bibtex-entry]



11. Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, and Maxime Sermesant. Phase-independent Latent Representation for Cardiac Shape Analysis. In MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, volume 12906 of LNCS - Lecture Notes in Computer Science, Strasbourg, France, September 2021. Keyword(s): Shape Analysis, Atrial Fibrillation, Thrombosis, Graph Representation, Latent Space Model, Multi-Task Learning, Meta-Learning. [bibtex-entry]



12. Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, and Maxime Sermesant. EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lecture Notes in Computer Science, Stanford, CA (virtual), United States, pages 482-492, June 2021. Springer International Publishing. Keyword(s): Electrophysiology, Deep learning, Simulation. [bibtex-entry]



13. Buntheng Ly, Sonny Finsterbach, Marta Nuñez-Garcia, Hubert Cochet, and Maxime Sermesant. Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lecture Notes in Computer Science, Stanford, United States, pages 461-470, June 2021. Springer International Publishing. Keyword(s): Conditional-VAE, Sustained Ventricular Arrhythmia, CTcardiac imaging, Myocardium thickness, Image Classification. [bibtex-entry]



14. Yingyu Yang and Maxime Sermesant. Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Stanford, United States, June 2021. Keyword(s): Segmentation, Deep Learning, Deformation, Echocardiography. [bibtex-entry]



15. Jaume Banus, Maxime Sermesant, Oscar Camara, and Marco Lorenzi. Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. In MICCAI 2020 - 23th International Conference on Medical Image Computing and Computer Assisted Intervention, Lima / Virtual, Peru, pages 478-486, October 2020. Keyword(s): Gaussian Process, Variational Inference, Lumped model, Missing features, Biomechanical simulation. [bibtex-entry]



16. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, Sébastien Hascoet, D Baudouy, Emile Ferrari, and Maxime Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In JESFC 2020 - 30es Journées Européennes de la Société Française de Cardiologie, volume 12 of Archives of Cardiovascular Diseases Supplements, Paris, France, pages 163-4, January 2020. [bibtex-entry]



17. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, and Maxime Sermesant. Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Post-infarct cardiac remodeling, Ventricular arrhythmia, Cross-sectional data, Disease progression modeling. [bibtex-entry]



18. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, and Hubert Cochet. Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Automatic image reformatting, Short-axis view, Deep learning segmentation, Cardiac imaging. [bibtex-entry]



19. Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, and Maxime Sermesant. EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions. In FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth, Bordeaux, France, pages 55-63, June 2019. Springer. [bibtex-entry]



20. Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, volume LNCS 11504, Bordeaux, France, pages 20-28, June 2019. Springer. Keyword(s): ECGI, Deep learning, Generative Model, Simulation. [bibtex-entry]



21. Jaume Banus, Marco Lorenzi, Oscar Camara, and Maxime Sermesant. Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, pages 285-293, June 2019. [bibtex-entry]



22. Nicolas Cedilnik, Josselin Duchateau, Frederic Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, pages 325-333, June 2019. Keyword(s): Model Personalisation, Segmentation, Deep learning, Imaging. [bibtex-entry]



23. Nicolas Cedilnik, Shuman Jia, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatic non-invasive substrate analysis from CT images in post-infarction VT. In EHRA 2019 - European Heart Rhythm Association, volume 21, Lisbonne, Portugal, pages 720-739, March 2019. [bibtex-entry]



24. Nicolas Cedilnik and Maxime Sermesant. Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzen, China, October 2019. Keyword(s): Electrophysiology, Computer model, Personalisation, Cardiac resynchronisation therapy. [bibtex-entry]



25. Gaëtan Desrues, Hervé Delingette, and Maxime Sermesant. Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation. In STACOM 2019: Statistical Atlases and Computational Models of the Heart, Shenzhen, China, October 2019. [bibtex-entry]



26. Nicolas Guigui, Shuman Jia, Maxime Sermesant, and Xavier Pennec. Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. In GSI 2019 - 4th conference on Geometric Science of Information, volume Lecture Notes in Computer Science 11712 of Proceedings of Geometric Science of Information, Toulouse, France, pages 759-768, August 2019. F. Nielsen and F. Barbaresco, Springer. Keyword(s): Symmetric Spaces, Parallel Transport, Shape Registration. [bibtex-entry]



27. Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, and Jean Bulté. End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality. In STACOM 2019 - 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, volume LNCS. LNIP - 12009 of Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, Shenzhen, China, pages 167-175, October 2019. Springer International Publishing. Keyword(s): Ultrasound, Cardiac Modelling, Probe Design, Image Quality. [bibtex-entry]



28. Buntheng Ly, Hubert Cochet, and Maxime Sermesant. Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI. In STACOM 2019 - 10th Workhop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Keyword(s): Deep Learning, Image segmentation, Cardiac Magnetic Resonance Imaging, Multi-modality, Late Gadolinium Enhanced. [bibtex-entry]



29. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Céline Sanfiorenzo, Fabien Squara, Emile Ferrari, and Maxime Sermesant. Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension. In JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Paris, France, January 2019. [bibtex-entry]



30. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Emile Ferrari, and Maxime Sermesant. 3D right ventricular strain and shape in volume overload: comparative analysis of Tetralogy of Fallot and atrial septal defect patients. In JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Paris, France, January 2019. [bibtex-entry]



31. Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, and Maxime Sermesant. Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Keyword(s): Cardiac modelling, Machine learning, Pulmonary hypertension. [bibtex-entry]



32. Bidisha Chakraborty, Sophie Giffard-Roisin, Martino Alessandrini, Brecht Heyde, M Sermesant, and Jan d'Hooge. Estimation of the Spatial Resolution of a 2D Strain Estimator Using Synthetic Cardiac Images. In IUS 2018 - IEEE International Ultrasonics Symposium, Kobe, Japan, pages 1-9, October 2018. IEEE. [bibtex-entry]



33. Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. In STACOM: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, volume 11395 of LNCS, Granada, Spain, pages 221-229, September 2018. Keyword(s): distance map, ensemble prediction, loss function, contour loss, left atrium, deep learning, segmentation, 3D U-Net. [bibtex-entry]



34. Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. In Shape in Medical Imaging. ShapeMI 2018., volume 11167 of LNCS, Granada, Spain, pages 116-124, September 2018. Springer. [bibtex-entry]



35. Pamela Moceri, Nicolas Duchateau, D Baudouy, C Sanfiorenzo, F Squara, E. Ferrari, and M Sermesant. Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension. In ESC congress, Munich, Germany, 2018. [bibtex-entry]



36. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Emile Ferrari, and M Sermesant. Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients. In ESC congress, Munich, Germany, 2018. [bibtex-entry]



37. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, Sébastien Hascoet, Delphine Baudouy, Emile Ferrari, and M Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In EuroEcho 2018 - 22nd Annual Congressof the European Association of Cardiovascular Imaging, Milan, Italy, December 2018. [bibtex-entry]



38. Pamela Moceri, Nicolas Duchateau, Benjamin Sartre, M Sermesant, and Emile Ferrari. Right ventricular function in acute pulmonary embolism: a three-dimensional strain study. In Euroecho, Milan, Italy, 2018. [bibtex-entry]



39. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. In Functional Imaging and Modelling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 271-279, June 2017. Springer International Publishing. Keyword(s): Electrophysiological modelling, Heart imaging, Ventricular tachycardia, Catheter ablation. [bibtex-entry]



40. Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian, Sophie Giffard-Roisin, Rocìo Cabrera-Lozoya, Maxime Sermesant, Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara. A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. In Lecture Notes in Computer Science, editor, Functional imaging and modelling of the heart 2017, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Fiber orientation, Rule-based method, Electrophysiological simulations, Arrhythmias, Outflow tracts. [bibtex-entry]



41. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, Aldo Rinaldi, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. In Mihaela Pop, editor, Functional imaging and modelling of the heart 2017, Functional imaging and modelling of the heart 2017, Toronto, Canada, pages 230-238, June 2017. Springer International Publishing. Note: Best paper award FIMH 2017, category: Electrophysiology. Keyword(s): ECG Imaging, Cardiac Electrophysiology, Relevance Vector Machine, Personalisation. [bibtex-entry]



42. Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, and Maxime Sermesant. Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. In FIMH 2017 - International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 314 - 321, June 2017. Keyword(s): atrial fibrillation, catheter ablation, post-ablation outcome, left atrial remodeling, statistical shape analysis, partial least squares, regression. [bibtex-entry]



43. Eric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu de Craene, and Hernán G Morales. Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. In FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, volume 141 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, pages 333-343, June 2017. Springer International Publishing. Keyword(s): Meshless, FEM, Cardiac electrophysiology, SPH. [bibtex-entry]



44. Kristin Mcleod, Maxime Sermesant, and Xavier Pennec. Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. In FIMH 2017 - 9th International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 51 - 59, June 2017. Springer. [bibtex-entry]



45. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Elie-Dan Schouver, P Bouvier, S Leroy, P Cerboni, P Gibelin, Maxime Sermesant, and Emile Ferrari. Three-dimensional speckle tracking of the right ventricle : implications on survival. In Journées Européennes de la Société Française de Cardiologie, Paris, France, 2017. [bibtex-entry]



46. P Moceri, M Sermesant, D Baudouy, E. Ferrari, and Nicolas Duchateau. 3D right ventricular strain: comparative analysis of Tetralogy of Fallot and atrial septal defect. In Euroecho-Imaging 2017 - Twenty-First Annual Meeting of the European Association of Echocardiography, Lisbon, Portugal, December 2017. [bibtex-entry]



47. Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob Hauser, Dilveer Panesar, Alexander Jones, Andrew Taylor, Marcus Kelm, Titus Kuehne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, and Maxime Sermesant. Longitudinal Analysis using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017, Québec City, Canada, pages 350-358, September 2017. Springer International Publishing. [bibtex-entry]



48. Roch Molléro, Jakob Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, and Maxime Sermesant. Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. In FIMH 2017 - 9th international conference on Functional Imaging and Modeling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 432-440, June 2017. Springer International Publishing. [bibtex-entry]



49. Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, and Xavier Pennec. SVF-Net: Learning Deformable Image Registration Using Shape Matching. In MICCAI 2017 - the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Québec, Canada, pages 266-274, September 2017. Springer International Publishing. Keyword(s): Deep Learning, Cardiac Imaging, Registration. [bibtex-entry]



50. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. In STACOM: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, volume 10663 of LNCS, Québec, Canada, pages 170-177, September 2017. [bibtex-entry]



51. Jan L. Bruse, Kristin Mcleod, Elena Cervi, Giovanni Biglino, T.-y Hsia, Maxime Sermesant, Xavier Pennec, Andrew Taylor, and Silvia Schievano. Discovering clusters in pathologic cardiac morphology: MR-based hierarchical 3D shape clustering of surgically repaired aortic arches. In Computer Assisted Radiology, 30th International Congress and Exhibition, Heidelberg, Germany, June 2016. [bibtex-entry]



52. Nicolas Duchateau, Mathieu de Craene, Pascal Allain, Eric Saloux, and Maxime Sermesant. Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space. In GRIC - Journées Francophones de Radiologie, Paris, France, 2016. [bibtex-entry]



53. Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Estimation of Purkinje Activation from ECG: an Intermittent Left Bundle Branch Block Study. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, October 2016. Note: In press. Keyword(s): Electrophysiology, Electrophysiological Model, Forward EP Model, Parameter Estimation, Purkinje System. [bibtex-entry]



54. Shuman Jia, Loïc Cadour, Hubert Cochet, and Maxime Sermesant. STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, volume 10124 of LNCS, Athens, Greece, pages 211-219, October 2016. Springer. Keyword(s): geodesic active contour, atrial fibrillation, left atrial wall thickness, 3-dimensional image segmentation, cardiac computed tomography (CT), region growing. [bibtex-entry]



55. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Sylvie Leroy, Priscille Bouvier, Elie Dan Schouver, Maxime Sermesant, and Emile Ferrari. Three-dimensional speckle tracking of the right ventricle: implications on survival in pulmonary hypertension. In European Society of Cardiology (ESC) Congress, volume 37 of European Heart Journal, Abstracts from the European Society of Cardiology (ESC) Congress, Rome, Italy, pages 994, August 2016. [bibtex-entry]



56. Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, and Maxime Sermesant. A Multiscale Cardiac Model for Fast Personalisation and Exploitation. In MICCAI 2016 - Medical Image Computing and Computer Assisted Intervention, volume 9902 of MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, pages 174-182, October 2016. [bibtex-entry]



57. Marc-Michel Rohé, Roch Molléro, Maxime Sermesant, and Xavier Pennec. Highly Reduced Model of the Cardiac Function for Fast Simulation. In IEEE - IVMSP Workshop 2016, Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th, Bordeaux, France, pages 5, July 2016. IEEE. Keyword(s): Reduction Order Model, Biomechanical Model, Simulation 3D. [bibtex-entry]



58. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Barycentric Subspace Analysis: a new Symmetric Group-wise Paradigm for Cardiac Motion Tracking. In MICCAI 2016 - Medical Image Computing and Computer Assisted Intervention, volume 9902 of MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, pages 300-307, October 2016. Keyword(s): Medical Image Analysis, Atlas Framework, Registration, Manifold atlas. [bibtex-entry]



59. Yitian Zhou, Mathieu de Craene, Maxime Sermesant, and Olivier Bernard. Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. In International Workshop on Statistical Atlases and Computational Models of the Heart, Athens, Greece, pages 39-47, October 2016. Keyword(s): Cardiac tagged MR, Strain, Tag number constant constraint. [bibtex-entry]



60. Yitian Zhou, Mathieu de Craene, Oudom Somphone, Maxime Sermesant, and Olivier Bernard. Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms. In International Workshop on Simulation and Synthesis in Medical Imaging, Athens, Greece, pages 108-117, October 2016. [bibtex-entry]



61. Martino Alessandrini, Adrian Basarab, Mathieu de Craene, Maxime Sermesant, Hervé Liebgott, Olivier Bernard, and Jan d'Hooge. The role of the image phase in cardiac strain imaging. In EUSIPCO 2015 - 23rd European Signal Processing Conference, Nice, France, pages 2796-2800, August 2015. IEEE. Keyword(s): Simulations, Medical imaging, Heart, Quality assurance, Echocardiography, MRI, Deformation imaging. [bibtex-entry]



62. Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Hervé Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu de Craene, and Jan d'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. In International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015), New York, United States, pages 756-759, April 2015. [bibtex-entry]



63. Jan L. Bruse, Kristin Mcleod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Taylor, and 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?. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Lecture Notes in Computer Science, Munich, Germany, October 2015. Springer. [bibtex-entry]



64. Nicolas Duchateau and Maxime Sermesant. Prediction of infarct localization from myocardial deformation. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Statistical Atlases and Computational Modeling of the Heart, Munich, Germany, October 2015. [bibtex-entry]



65. Nicolas Duchateau, Maxime Sermesant, Pierre Gibelin, Emile Ferrari, and Pamela Moceri. 3D regional right ventricular function in pulmonary hypertension. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress., Seville, Spain, pages ii69, 2015. [bibtex-entry]



66. Nicolas Duchateau, Mathieu de Craene, Damien Legallois, Fabien Labombarda, Arnaud Pellissier, Maxime Sermesant, and Eric Saloux. Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii81, 2015. [bibtex-entry]



67. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. In Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), volume 9351 of Lecture notes in computer science (LNCS), Munich, Germany, pages 419-426, October 2015. [bibtex-entry]



68. Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Herve Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, and Tommaso Mansi. Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. In Functional Imaging and Modeling of the Heart, LNCS., 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, Maastricht, Netherlands, pages 448-456, June 2015. [bibtex-entry]



69. Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, and Xavier Pennec. Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2015., volume 9534 of LNCS, Munich, Germany, pages 190-198, 2015. Springer. Keyword(s): Medical Imaging, Cardiac Motion, Machine Learning. [bibtex-entry]



70. Martino Alessandrini, Brecht Heyde, Szymon Cygan, Maxime Sermesant, Hervé Delingette, Olivier Bernard, De Craene, and Jan d'Hooge. 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. In IEEE International Ultrasonics Symposium, Chicago, United States, pages 608 - 611, September 2014. [bibtex-entry]



71. Rocio Cabrera Lozoya, Jan Margeta, Loic Le Folgoc, Yuki Komatsu, Berte Benjamin, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jais, Nicholas Ayache, and Maxime Sermesant. Confidence-based Training for Clinical Data Uncertainty in Image-based Prediction of Cardiac Ablation Targets. In bigMCV Workshop MICCAI 2014, Boston, United States, September 2014. [bibtex-entry]



72. Sophie Giffard-Roisin, Stéphanie Marchesseau, Loic Le Folgoc, Hervé Delingette, and Maxime Sermesant. Evaluation of Personalised Canine Electromechanical Models. In O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, and A. Young, editors, Proceedings of the 5th international STACOM workshop (Boston, September 18, 2014), number 8896 of 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers, Boston, United States, pages 74-82, September 2014. Pop M., Springer. Keyword(s): Cardiac Modelling, Mechanical modeling, Modelling and Simulation, Personalised modelling, Personalized modeling, Cardiac electrical activity, Cardiac Modeling, Cardiac Electrophysiology modeling, Cardiac Electrophisiology, Modelisation cardiaque. [bibtex-entry]



73. H Talbot, F Spadoni, Christian Duriez, M Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Training System for Interventional Electrocardiology Procedures. In 6th International Symposium on Biomedical Simulation - ISBMS 2014, Strabsourg, France, pages 11 - 19, October 2014. Keyword(s): Electrophysiology, Radio-Frequency Ablation, Arrhythmia, Training System. [bibtex-entry]



74. Mathieu de Craene, Martino Alessandrini, Pascal Allain, Stephanie Marchesseau, I Waechter-Stehle, J Weese, E Saloux, H. G. Morales, R Cuingnet, Hervé Delingette, M Sermesant, Olivier Bernard, and J D 'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, Beijing, China, pages 73 - 76, April 2014. IEEE. Keyword(s): Ultra-sound imaging, Motion detection and tracking, Modeling of image formation. [bibtex-entry]



75. Kristin Mcleod, Christof Seiler, Maxime Sermesant, and Xavier Pennec. Spatio-Temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2013, volume 8150 of Lecture Notes in Computer Science, Nagoya, Japan, pages 501-508, 2013. Springer, Heidelberg. [bibtex-entry]



76. Kristin Mcleod, Christof Seiler, Nicolas Toussaint, Maxime Sermesant, and Xavier Pennec. Regional Analysis of Left Ventricle Function using a Cardiac-Specific Polyaffine Motion Model. In Sébastien Ourselin, Daniel Rueckert, and Nicolas Smith, editors, Functional Imaging and Modeling of the Heart 2013 (FIMH), volume 7945 of Lecture Notes in Computer Science, London, United Kingdom, pages 483-490, June 2013. Springer. [bibtex-entry]



77. Oudom Somphone, Mathieu de Craene, Roberto Ardon, Benoit Mory, Pascal Allain, Hang Gao, Jan d'Hooge, Stéphanie Marchesseau, Maxime Sermesant, and Eric Saloux. Fast Myocardial Motion and Strain Estimation in 3D Cardiac Ultrasound with Sparse Demons. In International Symposium on Biomedical Imaging (ISBI), 2013, San Francisco, United States, pages 1182-1185, April 2013. IEEE. [bibtex-entry]



78. Mathieu De Craene, Pascal Allain, Hang Gao, Adityo Prakosa, Stéphanie Marchesseau, Loic Hilpert, Oudom Somphone, Hervé Delingette, Sherif Makram-Ebeid, Nicolas Villain, Jan D'hooge, Maxime Sermesant, and Eric Saloux. Synthetic and Phantom Setups for the Second cardiac Motion Analysis Challenge (cMAC2). In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), LNCS, 2012. Springer. [bibtex-entry]



79. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Kawal Rhode, S.G. Duckett, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Cardiac Mechanical Parameter Calibration based on the Unscented Transform. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7511 of LNCS, October 2012. Springer, Heidelberg. [bibtex-entry]



80. Kristin McLeod, Adityo Prakosa, Tommaso Mansi, Maxime Sermesant, and Xavier Pennec. An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM11), number 7085 of LNCS, Toronto, pages 55-67, September 2012. Springer. [bibtex-entry]



81. Kristin McLeod, Christof Seiler, Maxime Sermesant, and Xavier Pennec. A Near-Incompressible Poly-Affine Motion Model for Cardiac Function Analysis. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'12), LNCS, Nice, October 2012. Springer. [bibtex-entry]



82. Adityo Prakosa, Kristin McLeod, Maxime Sermesant, and Xavier Pennec. Evaluation of iLogDemons Algorithm for Cardiac Motion Tracking in Synthetic Ultrasound Sequence. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), LNCS, October 2012. Springer. [bibtex-entry]



83. Hugo Talbot, Christian Duriez, Hadrien Courtecuisse, Jatin Relan, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator. In Statistical Atlases and Computational Models of the Heart - STACOM 2012 in the 15th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2012, Lecture Notes in Computer Science, Nice, France, October 2012. Springer. [bibtex-entry]



84. Hugo Talbot, Stéphanie Marchesseau, Christian Duriez, Hadrien Courtecuisse, Jatin Relan, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Electromechanical Model of the Heart for Patient-Specific Therapy Planning and Training using SOFA. In Virtual Human Project (VPH), 2012. [bibtex-entry]



85. Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, and Pengcheng Shi. Strain-Based Regional Nonlinear Cardiac Material Properties Estimation From Medical Images. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), LNCS, October 2012. Springer, Heidelberg. Note: To appear. [bibtex-entry]



86. H. Cochet, A. S. Jadidi, O. Corneloup, M. Lederlin, J. Relan, M. Montaudon, M. Sermesant, P. Jaïs, and F. Laurent. Myocardial Scar Modeling from Delayed Enhancement MRI: Usefulness for the Guidance of Ventricular Tachycardia Mapping and Ablation. In Radiological Society of North America, RSNA'11, November 2011. [bibtex-entry]



87. H. Cochet, A. S. Jadidi, F. Sacher, N. Derval, M. Sermesant, J. Relan, S. J. Kim, P. Bordachar, P. Ritter, M. Hocini, M. Montaudon, F. Laurent, N. Ayache, M. Haïssaguerre, and P. Jais. Ventricular Scar At Cardiac CT Correlates To Critical Isthmuses Of Ventricular Tachycardia Circuits And Sites Of Slow Conduction During Sinus Rhythm - Evidence For Clinical Use Of CT Integration Into 3D Mapping Systems. In Heart Rhythm Society '11, May 2011. [bibtex-entry]



88. A. S. Jadidi, H. Cochet, F. Sacher, S. J. Kim, M. Sermesant, J. Relan, N. Derval, S. Miyazaki, A. Shah, D. Scherr, S. B. Wilton, P. Pascale, L. Roten, M. Pederson, S. Knecht, P. Bordachar, P. Ritter, M. Hocini, M. Montaudon, F. Laurent, N. Ayache, M. Haïssaguerre, and P. Jaïs. Ventricular Scar imaging at MRI Correlates to Critical Isthmuses of Ventricular Tachycardia Circuits and Sites of Slow Conduction during Sinus Rhythm - Utility of integrating MR-data into 3D Mapping Systems. In Heart Rhythm Society '11, May 2011. [bibtex-entry]



89. Mihaela Pop, Maxime Sermesant, Jean-Marc Peyrat, Eugene Crystal, Sudip Ghate, Tommaso Mansi, Ilan Lashevsky, Beiping Qiang, Elliot R. McVeigh, Nicholas Ayache, and Graham A. Wright. A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation. In FIMH, pages 195-205, 2011. [bibtex-entry]



90. Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Eric Saloux, Pascal Allain, Pascal Cathier, Patrick Etyngier, Nicolas Villain, and Nicholas Ayache. Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS, Toronto, Canada, pages 8p, September 2011. Springer, Heidelberg. [bibtex-entry]



91. J. Relan, M. Sermesant, H. Delingette, and N. Ayache. Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI. In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, pages 14-22, 2011. [bibtex-entry]



92. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images. In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), part II, volume 6362 of LNCS, Beijing, China, pages 652-659, September 2010. [bibtex-entry]



93. Tommaso Mansi, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Nicholas Ayache, and Younes Boudjemline. Modèles numériques pour la simulation et la prédiction de la fonction cardiaque. In Congrès de la Société Francaise de Pédiatrie et de l'Association des Pédiatres de Langue Française (APLF), 2010. Note: Archives de Pédiatrie 17(6):611-2, PMID: 20654804. [bibtex-entry]



94. Kristin McLeod, Alfonso Caiazzo, Miguel A. Fernández, Tommaso Mansi, Irene E. Vignon-Clementel, Maxime Sermesant, Xavier Pennec, Younes Boudjemline, and Jean-Frederic Gerbeau. Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'10), volume 6364 of LNCS, Beijing, pages 95-104, September 2010. Springer. [bibtex-entry]



95. Erik Pernod, Maxime Sermesant, Jatin Relan, and Hervé Delingette. Interactive real time simulation of cardiac radio-frequency ablation. In Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine (2010) (VCBM'2010), Leipzig, August 2010. Note: Best Paper Award. [bibtex-entry]



96. Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Eric Saloux, Pascal Allain, Pascal Cathier, Patrick Etyngier, Nicolas Villain, and Nicholas Ayache. Non-Invasive Activation Times Estimation using 3D Echocardiography. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'10), volume 6364 of LNCS, Beijing, September 2010. Springer. [bibtex-entry]



97. Jatin Relan, Phani Chinchapatnam, Maxime Sermesant, Kawal Rhode, Hervé Delingette, Reza Razavi, and Nicholas Ayache. Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. [bibtex-entry]



98. Jatin Relan, M. Pop, Hervé Delingette, G.A. Wright, Nicholas Ayache, and Maxime Sermesant. Personalisation of a 3D Cardiac Electrophysiology Model for Ventricular Myocardium using Optical Mapping and MRI. In MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM) and a Cardiac Electrophysiological Simulation Challenge (CESC'10), volume 6364 of LNCS, 2010. Springer. [bibtex-entry]



99. Aldo C. Rinaldi, P.D. Lambiase, Maxime Sermesant, Phani Chinchapatnam, S. Rhode, Kawal, Simon B. Duckett, Anoop Shetty, Radomir Chabiniok, Tommaso Mansi, Florence Billet, Jean-Marc Peyrat, Hervé Delingette, Philippe Moireau, Michel Sorine, Dominique Chapelle, Nicholas Ayache, Matthew Ginks, and Reza Razavi. Biophysical Modelling To Predict Acute Hemodynamic Response To Cardiac Resynchronization Therapy In Human. In Heart Rhythm 2010 : 31st Annual Scientific Sessions, Denver, États-Unis, 2010. [bibtex-entry]



100. Nicolas Toussaint, Christian T. Stoeck, Sebastian Kozerke, Maxime Sermesant, and Philip G. Batchelor. In-vivo Human 3D Cardiac Fibre Architecture: Reconstruction Using Curvilinear Interpolation of Diffusion Tensor Images. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



101. Nicolas Toussaint, Christian T. Stoeck, Maxime Sermesant, Sebastian Kozerke, and Philip G. Batchelor. Three-dimensional Prolate Spheroidal Extrapolation for Sparse DTI of the In-vivo Heart. In Book of Abstracts, International Society in Magnetic Resonance in Medicine (ISMRM'10), Stockholm, 2-7 June 2010. [bibtex-entry]



102. Ken C. L. Wong, Florence Billet, Tommaso Mansi, R. Chabiniok, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac motion estimation using a proactive deformable model: evaluation and sensitivity analysis. In MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM) and a Cardiac Electrophysiological Simulation Challenge (CESC'10), volume 6364 of LNCS, pages 154-163, 2010. Springer. [bibtex-entry]



103. Florence Billet, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 376-385, 3-5 June 2009. [bibtex-entry]



104. Hans Lamecker, Tommaso Mansi, Jatin Relan, Florence Billet, Maxime Sermesant, Nicholas Ayache, and Hervé Delingette. Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations. In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM09), London United Kingdom, pages 149-158, 2009. Keyword(s): elements, modeling, mesh quality, mesh size control. [Abstract] [bibtex-entry]



105. Tommaso Mansi, Stanley Durrleman, Boris Bernhardt, Maxime Sermesant, Hervé Delingette, Ingmar Voigt, Philipp Lurz, Andrew M Taylor, Julie Blanc, Younes Boudjemline, Xavier Pennec, and Nicholas Ayache. A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'09), volume 5761 of Lecture Notes in Computer Science, London, UK, pages 214-221, September 2009. Springer. [bibtex-entry]



106. Tommaso Mansi, Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Julie Blanc, Younes Boudjemline, and Nicholas Ayache. Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 201-210, 3-5 June 2009. [bibtex-entry]



107. Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Jay Detsky, _Yuesong Yang, Paul Fefer, Elliot McVeigh, Alexander Dick, Nicholas Ayache, and Graham Wright. Characterization of Post-infarct Scars in a Porcine Model - a Combined Experimental and Theoretical Study. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 1-10, 3-5 June 2009. [bibtex-entry]



108. Jatin Relan, Maxime Sermesant, Hervé Delingette, Mihaela Pop, Graham Wright, and Nicholas Ayache. Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'09), Boston, MA, pages 1027-1030, July 2009. Keyword(s): bioelectric phenomena, biomedical MRI, biomedical optical imaging, cardiology, image resolution, medical image processing, physiological modelsAliev-Panfilov model, MRI, cardiac models, depolarisation, electrophysiology, optical imaging, phenomenological model, porcine healthy heart, repolarisation, spatial resolution, temporal resolution. [bibtex-entry]



109. Jatin Relan, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Michel Sorine, Graham Wright, and Nicholas Ayache. Parameter Estimation of a 3D Cardiac Electrophysiology Model Including the Restitution Curve Using Optical and MR Data. In Olaf Dössel and Wolfgang C. Schlegel, editors, World Congress on Medical Physics and Biomedical Engineering, volume 25/IV of IFMBE Proceedings, Munich, Germany, pages 1716-1719, September 2009. Springer. [bibtex-entry]



110. Jatin Relan, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Michel Sorine, Graham Wright, and Nicholas Ayache. Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data. In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling - CI2BM09, London, UK, pages 19-27, 2009. [bibtex-entry]



111. Maxime Sermesant, Florence Billet, Radomir Chabiniok, Tommaso Mansi, Phani Chinchapatnam, Philippe Moireau, Jean-Marc Peyrat, Kawal Rhode, Matt Ginks, Pier Lambiase, Simon Arridge, Hervé Delingette, Michel Sorine, Aldo Rinaldi, Dominique Chapelle, Reza Razavi, and Nicholas Ayache. Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 239-248, 3-5 June 2009. [bibtex-entry]



112. N. Toussaint, S. Durrleman, M. Sermesant, S. Kozerke, and P. Batchelor. Error Assessment on myocardial fiber orientations from DTI measurements. In Book of Abstracts, European Society of Magnetic Resonance in Medicine (ESMRMB) 26th Annual Scientific Meeting, volume 22, Antalya, Turkey, pages 59, 2009. [bibtex-entry]



113. Florence Billet, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps. In K. Miller and P.M.F. Nielsen, editors, Proc. of the Workshop on Computational Biomechanics for Medicine III. (Workshop MICCAI-2008), September 2008. [bibtex-entry]



114. Damien Lepiller, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Graham A. Wright, and Nicholas Ayache. Cardiac Electrophysiology Model Adjustment Using the Fusion of MR and Optical Imaging. In Dimitris N. Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5241 of Lecture Notes in Computer Science, pages 678-685, 2008. Springer. [bibtex-entry]



115. Jean-Marc Peyrat, Hervé Delingette, Maxime Sermesant, Xavier Pennec, Chenyang Xu, and Nicholas Ayache. Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons. In Dimitris Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5242 of Lecture Notes in Computer Science, New York, USA, pages 972-979, September 2008. Springer. [bibtex-entry]



116. N. Toussaint, T. Mansi, H. Delingette, Nicholas Ayache, and M. Sermesant. An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation. In Proc. Eurographics Workshop on Visual Computing for Biomedicine (VCBM), Delft, The Netherlands, 2008. Keyword(s): Cardiac Simulation, Freeware, Dynamics, Visualization, VTK. [bibtex-entry]



117. P Chinchapatnam, K Rhode, A. King, G. Gao, Y. Ma, T. Schaeffter, D. Hawkes, R. Razavi, D. Hill, S. Arridge, and M. Sermesant. Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4791 of LNCS, Brisbane, Australia, pages 575-583, October 2007. Springer. [bibtex-entry]



118. H. Delingette, M. Sermesant, J.-M. Peyrat, N. Ayache, K. Rhode, R. Razavi, E. McVeigh, D. Chapelle, J. Sainte-Marie, P. Moireau, M. Fernandez, J.-F. Gerbeau, K. Djabella, Q. Zhang, and M. Sorine. CardioSense3D: Patient-Specific Cardiac Simulation. In Proceedings of IEEE International Conference on Biomedical Imaging: From Nano to Macro (ISBI'07), Metro Washington DC, USA, pages 628-631, 12-15 April 2007. [bibtex-entry]



119. E. Konukoglu, O. Clatz, Pierre-Yves Bondiau, Maxime Sermesant, H. Delingette, and N. Ayache. Towards an Identification of Tumor Growth Parameters from Time Series of Images. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 4791 of LNCS, Brisbane, Australia, pages 549-556, October 2007. Springer. [bibtex-entry]



120. E. Konukoglu, M. Sermesant, O. Clatz, J.-M. Peyrat, H. Delingette, and N. Ayache. A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. In Proceedings of the 20th International Conference on Information Processing in Medical Imaging (IPMI'07), volume 4584 of LNCS, pages 686-699, 2-6 July 2007. [bibtex-entry]



121. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Statistical Comparison of Cardiac Fibre Architectures. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 413-423, 7-9 June 2007. [bibtex-entry]



122. M. Pop, M. Sermesant, D. Chung, G. Liu, E. McVeigh, E. Crystal, and G. Wright. An experimental framework to validate 3D models of cardiac electrophysiology via optical imaging and MRI. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 100-109, 7-9 June 2007. [bibtex-entry]



123. M. Sermesant, E. Konukoglu, H. Delingette, Y. Coudiere, P. Chinchaptanam, K.S. Rhode, R. Razavi, and N. Ayache. An anisotropic multi-front fast marching method for real-time simulation of cardiac electrophysiology. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 160-169, 7-9 June 2007. [bibtex-entry]



124. N. Toussaint, M. Sermesant, and P. Fillard. vtkINRIA3D: A VTK Extension for Spatiotemporal Data Synchronization, Visualization and Management. In Proc. of Workshop on Open Source and Open Data for MICCAI, Brisbane, Australia, October 2007. [bibtex-entry]



125. Desmond Chung, Mihaela Pop, Maxime Sermesant, and Graham Wright. Stereo Reconstruction of the Epicardium for Optical Fluorescence Imaging. In MICCAI Workshop on Biophotonics Imaging for Diagnostics and Treatment, pages 33-40, 2006. [bibtex-entry]



126. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Towards a Statistical Atlas of Cardiac Fiber Structure. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, volume 4190 of LNCS, pages 297-304, 2-4 October 2006. Springer. Keyword(s): DT-MRI, DTI, Diffusion Tensor, Log-Euclidean, Cardiac Fiber, Heart, Myocardium, Atlas. [bibtex-entry]



127. Mihaela Pop, Maxime Sermesant, Yves Coudière, J. Graham, M. Bronskill, A. Dick, and Graham Wright. A theoretical model of ventricular reentry and its radiofrequency ablation therapy. In 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI'06), pages 33-36, 2006. [bibtex-entry]



128. Mihaela Pop, Maxime Sermesant, Alexander Dick, John Graham, Yves Coudière, and Graham Wright. Aid of Computer Modelling to Identify Ventricular Reentries due to Infarct Scars. In 15th World Congress in Cardiac Electrophysiology and Cardiac Techniques (Cardiostim'06), 2006. [bibtex-entry]



129. Mihaela Pop, Maxime Sermesant, Alexander Dick, John Graham, Yves Coudière, and Graham Wright. Assessment of Radio-frequency Ablation of Ventricular Arrhythmias Via Magnetic Resonance Imaging and Computer Modelling. In 15th World Congress in Cardiac Electrophysiology and Cardiac Techniques (Cardiostim'06), 2006. [bibtex-entry]



130. Valérie Moreau-Villéger, Hervé Delingette, Maxime Sermesant, Hiroshi Ashikaga, Owen Faris, Elliot McVeigh, and Nicholas Ayache. Estimating Local Apparent Conductivity with a 2-D Electrophysiological Model of the Heart. In Proc. of Functional Imaging and Modeling of the Heart 2005 (FIMH'O5), volume 3504 of LNCS, pages 256-266, June 2005. Springer. [bibtex-entry]



131. M. Sermesant, Y. Coudière, V. Moreau-Villéger, K.S. Rhode, D.L.G Hill, and R. Razavi. A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging. In Proceedings of MICCAI'05, volume 3750 of LNCS, Palm Springs, California, pages 607-615, 2005. Springer. [bibtex-entry]



132. Maxime Sermesant, Philippe Moireau, Oscar Camara, Jacques Sainte-Marie, Rado Andriantsimiavona, Robert Cimrman, Derek L. G. Hill, Dominique Chapelle, and Reza Razavi. Cardiac Function Estimation from MRI Using a Heart Model and Data Assimilation: Advances and Difficulties. In Proc. of Functional Imaging and Modeling of the Heart 2005 (FIMH'O5), volume 3504 of LNCS, pages 325-337, June 2005. Springer. [bibtex-entry]



133. Olivier Clatz, Pierre Yves Bondiau, Hervé Delingette, Grégoire Malandain, Maxime Sermesant, Simon Warfield, and Nicholas Ayache. In Silico Tumor Growth: Application to Glioblastomas. In C. Barillot, D.R. Haynor, and P. Hellier, editors, Proc. of the 7th Int. Conf on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004 (2), volume 3217 of LNCS, Saint-Malo, France, pages 337-345, September 2004. Springer. [bibtex-entry]



134. V. Muthurangu, M. Sermesant, A. Taylor, D. Hill, and R. Razavi. A Novel Non-Invasive Method of Pulmonary Vascular Resistence Quantification. In International Society for Magnetic Resonance in Medicine Scientific Meeting, volume 7, pages 559, 2004. [bibtex-entry]



135. K. Rhode, S. Hegde, M. Sermesant, D. Hill, R. Razavi, D. Rueckert, and G. Sanchez-Ortiz. XMR Guided Cardiac Electrophysiology Study and Radio Frequency Ablation. In SPIE Medical Imaging, 2004. Note: To appear. [bibtex-entry]



136. G.I. Sanchez-Ortiz, M. Sermesant, R. Chandrashekara, K.S. Rhode, R. Razavi, D.L.G. Hill, and D. Rueckert. Detecting the onset of myocardial contraction for establishing inverse electro-mechanical coupling in XMR guided RF ablation. In Proceedings of IEEE International Symposium on Biomedical Imaging, Arlington, USA, pages 1055-1058, 2004. [bibtex-entry]



137. M. Sermesant, K. Rhode, A. Anjorin, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Simulation of the Electromechanical Activity of the Heart using XMR Interventional Imaging. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'04), volume 3217 of Lecture Notes in Computer Science (LNCS), pages 786-794, 2004. Springer. [bibtex-entry]



138. M. Sermesant, K. Rhode, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Electromechanical Modelling of the Myocardium using XMR Interventional Imaging. In Annual SCMR Scientific Sessions (SCMR'04), 2004. [bibtex-entry]



139. M. Sermesant, K. Rhode, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Modelling the Cardiac Electromechanical Activity for Integration of Electrophysiological Studies with MR. In International Society for Magnetic Resonance in Medicine Scientific Meeting, volume 7, pages 1890, 2004. [bibtex-entry]



140. Maxime Sermesant, Olivier Clatz, Zhongze Li, Stéphane Lanteri, Hervé Delingette, and Nicholas Ayache. A Parallel Implementation of Non-Rigid Registration Using a Volumetric Biomechanical Model. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 398-407, 2003. Springer. [bibtex-entry]



141. M. Sermesant, O. Faris, F. Evans, E. McVeigh, Yves Coudière, H. Delingette, and N. Ayache. Preliminary validation using in vivo measures of a macroscopic electrical model of the heart. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 230-243, 2003. INRIA Sophia Antipolis, Springer. [bibtex-entry]



142. M. Sermesant, Y. Coudière, H. Delingette, and N. Ayache. Progress towards an Electro-Mechanical Model of the Heart for Cardiac Image Analysis. In IEEE International Symposium on Biomedical Imaging (ISBI'02), pages 10-14, 2002. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]



143. M. Sermesant, Y. Coudière, H. Delingette, N. Ayache, J. Sainte-Marie, D. Chapelle, F. Clément, and M. Sorine. Progress Towards Model-Based Estimation of the Cardiac Electromechanical Activity from ECG Signals and 4D Images. In Marc Thiriet, editor, Modelling and Simulation for Computer-aided Medicine and Surgery (MS4CMS'02), volume 12 of ESAIM: PROC, pages 153-162, 2002. European Series in Applied and Industrial Mathematics. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]



144. Maxime Sermesant, Clément Forest, Xavier Pennec, Hervé Delingette, and Nicholas Ayache. Biomechanical Model Construction from Different Modalities: Application to Cardiac Images. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 714-721, September 2002. Springer. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking. [bibtex-entry]



145. N. Ayache, D. Chapelle, F. Clément, Y. Coudière, H. Delingette, J.A. Désidéri, M. Sermesant, M. Sorine, and J. Urquiza. Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images. In T. Katila, I.E. Magnin, P. Clarysse, J. Montagnat, and Nenonen J., editors, Functional Imaging and Modeling of the Heart (FIMH'01), Helsinki, Finland, volume 2230 of LNCS, pages 120-127, 2001. Springer. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]



146. M. Sermesant, Y. Coudière, H. Delingette, N. Ayache, and J.A. Désidéri. An Electro-Mechanical Model of the Heart for Cardiac Image Analysis. In W.J. Niessen and M.A. Viergever, editors, 4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), volume 2208 of LNCS, Utrecht, The Netherlands, pages 224-231, October 2001. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]

1. Hugo Talbot, Federico Spadoni, Maxime Sermesant, Nicholas Ayache, and Hervé Delingette. Deliverable D10.4.2. Research Report, January 2013. [bibtex-entry]



2. Martin W. Krueger, Jatin Relan, Zhong Chen, Maxime Sermesant, Nicholas Ayache, Gunnar Seemann, Olaf Dössel, Nick Linton, C. Aldo Rinaldi, Reza Razavi, Kawal Rhode, and Hervé Delingette. Evaluation of RFA planning based on biophysical models. Deliverables D6.3.3, European project euHeart, May 2012. [bibtex-entry]



3. M. W. Krueger, W. Schulze, G. Seemann, O. Dössel, J. Relan, H. Delingette, M. Sermesant, and N. Ayache. Planning of Radiofrequency Ablation for patients with Atrial Fibrillation. Deliverables D6.3.1, European project euHeart, June 2011. [bibtex-entry]



4. J. Relan, H. Delingette, M. Sermesant, N. Ayache, M. W. Krueger, W. Schulze, G. Seemann, and O. Dössel. Planning of RadioFrequency Ablation for patients with Ventricular Tachycardia. Deliverables D6.3.2, European project euHeart, June 2011. [bibtex-entry]



5. M. W. Krueger, J. Relan, H. Delingette, M. Sermesant, N. Ayache, G. Seemann, and O. Dössel. Computational Models for AF and VT simulation. Deliverables D6.2.1, European project euHeart, May 2010. [bibtex-entry]



6. Xavier Pennec, Curzio Basso, Younes Boudjemline, Stanley Durrleman, Ender Konukoglu, Tommaso Mansi, Kristin McLeod, Giacomo Pongiglione, Matteo Santoro, Maxime Sermesant, Bertrand Stos, Nicolas Toussaint, and Gianluca Trocchio. Third generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors. Deliverables D11.4, European project Health-e-Child (IST-2004-027749), April 2010. [bibtex-entry]



7. Xavier Pennec, Curzio Basso, Younes Boudjemline, Stanley Durrleman, Ender Konukoglu, Tommaso Mansi, Giacomo Pongiglione, Matteo Santoro, Maxime Sermesant, Bertrand Stos, Nicolas Toussaint, and Gianluca Trocchio. First generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors. Deliverables D11.2, European project Health-e-Child (IST-2004-027749), June 2007. [bibtex-entry]



8. Martin Huber, Xavier Pennec, Alessandro Verri, Harry Dimitropoulos, Maxime Sermesant, Cristian Mircean, Sonja Zilner, Homer Metaxas, Michael Lynch, Ender Konukoglu, Maria-Luisa Garre, Anna Charisi, Curzio Basso, and Elise Arnaud. State of the art report on disease models, decision support systems and knwoledge discovery for pediatric oncology, cardiology and rheumatology. Deliverables 11.1, 12.1, 13.1, European project Health-e-Child (IST-2004-027749), June 2006. [bibtex-entry]



9. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Towards a Statistical Atlas of Cardiac Fiber Architecture. Research report RR-5906, INRIA, May 2006. Keyword(s): DT-MRI, DTI, Diffusion Tensor, Log-Euclidean, Cardiac Fiber, Heart, Myocardium, Atlas. [bibtex-entry]



10. Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, Maxime Sermesant, Simon Warfield, Grégoire Malandain, and Nicholas Ayache. Brain Tumor Growth Simulation. Research report RR-5187, INRIA, 2004. Keyword(s): tumor, model, glioblastoma, brain, Magnetic Resonance Imaging, growth, model, simulation, finite element, biomechanics, diffusion, infiltration, mass effect, Clinical Target Volume, Gross Tumor Volume. [bibtex-entry]



11. V. Moreau-Villéger, H. Delingette, M. Sermesant, O. Faris, E. McVeigh, and N. Ayache. Global and Local Parameter Estimation of a Model of the Electrical Activity of the Heart. Research Report RR-5269, INRIA, July 2004. Keyword(s): heart modeling, electrophysiology, inverse problem, data assimilation, parameter estimation, FitzHugh-Nagumo. [bibtex-entry]



12. M. Sermesant, H. Delingette, and N. Ayache. An Electromechanical Model of the Myocardium for Cardiac Image Analysis and Medical Simulation. Research Report RR-5395, INRIA, November 2004. Note: Submitted to the IEEE Trans. in Medical Imaging. Keyword(s): Heart, simulation, physiology, biomechanics. [bibtex-entry]

1. Hubert Cochet, Pierre Jaïs, and Maxime Sermesant. Méthode de segmentation d'une image tridimensionnelle pour la génération d'un modèle de paroi du myocarde pour la détection d'au moins une zone de circulation électrique singulière. FR1754107, France, May 2017. [bibtex-entry]

1. Francisco J Burgos-Fernandez, Buntheng Ly, Fernando Dìaz-Doutón, Meritxell Vilaseca, Jaume Pujol, and Maxime Sermesant. Deep learning for eye fundus diagnosis based on multispectral imaging. ARVO 2022 - Annual meeting of the Association for Research in Vision and Ophthalmology, May 2022. Note: Poster. [bibtex-entry]



2. Jan L. Bruse, Kristin Mcleod, Giovanni Biglino, Tain-Yen Hsia, Xavier Pennec, Maxime Sermesant, Andrew M. Taylor, and Silvia Schievano. A Statistical Shape Atlas of the Surgically Reconstructed Aortic Arch in Patients With Hypoplastic Left Heart Syndrome. 7th World Congress of Biomechanics, Boston 2014, July 2014. Note: Poster. [bibtex-entry]



3. Benoît Bleuzé, Olivier Clatz, Pierre Fillard, Maxime Sermesant, Nicolas Toussaint, and Julien Wintz. Horizontal Data Fusion for Integrative Modelling: the MedINRIA Fusion Toolbox. First VPH Conference (VPH2010), Brussels), September 2010. Note: Abstract. [bibtex-entry]



4. Kristin McLeod, Tommaso Mansi, Stanley Durrleman, Maxime Sermesant, and Xavier Pennec. Statistical Analysis of the Anatomy: From Digital Patient to Digital Population. First VPH Conference (VPH2010), Brussels), September 2010. Note: Abstract. [bibtex-entry]



5. Jatin Relan, Maxime Sermesant, Phani Chinchapatnam, Hervé Delingette, Kawal Rhode, Reza Razavi, and Nicholas Ayache. Personalisation of a 3D Macroscopic Cardiac Electrophysiology Model for Simulation of Induced Ischemic Ventricular Tachycardia. First VPH Conference (VPH2010), Brussels), September 2010. [bibtex-entry]



6. Tommaso Mansi, Barbara André, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, and Younes Boudjemline. Simulation personnalisée de replacements valvulaires pulmonaires grâce à l'utilisation d'un modèle mathématique du coeur. Archives de Pédiatrie - Congrès des Sociétés Françaises Médico-chirurgicales Pédiatriques, June 2009. [bibtex-entry]



7. J. Relan, M. Sermesant, and H. Delingette, M. Pop, M. Sorine, G.A. Wright, and N. Ayache. Personalisation of 3D Cardiac Electrophysiology Models for valid Predictions: A Step Towards Patient-Specific Ventricular Tachycardia Modelling. The Cardiac Physiome: Multi-scale and Multi-physics Mathematical Modelling Applied to the Heart, Cambridge, UK, July 2009. [bibtex-entry]



8. Tommaso Mansi, Maxime Sermesant, Martin Huber, Andrew Taylor, Giacomo Pongiglione, Xavier Pennec, and Younes Boudjemline. Modélisation électromécanique du coeur et analyse d'images. Archives de Pédiatrie - Congrès des Sociétés Françaises Médico-chirurgicales Pédiatriques, February 2008. Note: Archives de Pédiatrie 15(5):1032 -- Special award for best presentation. [bibtex-entry]



9. Maxime Sermesant. Diffusion anisotrope et segmentation par modèles déformables sur des images échographiques 4-D du coeur. Stage de 3ème année, Ecole Centrale Paris, 1999. Keyword(s): anisotropic diffusion, 4D, Heart, segmentation, ultrasound, medical images, motion tracking. [bibtex-entry]

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