Publications of Nicolas Duchateau

1. 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]



2. 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]



3. 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]



4. 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]



5. 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]



6. 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]



7. 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]



8. 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]



9. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Gabor Kunszt, Svend Aakhus, Anna Degiovanni, Paolo Marino, Erberto Carluccio, Gemma Piella, Alan Fraser, and Bart Bijnens. Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction. Circulation: Cardiovascular Imaging, 11(4), April 2018. Keyword(s): Excercise echocardiography, Heart failure with preservec ejection fraction, Myocardial velocity, Machine learning, Non-invasive diagnostic heart failure. [bibtex-entry]



10. 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]



11. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. IEEE Transactions on Medical Imaging, 37:2137-2148, April 2018. Keyword(s): deep learning, spatial propagation, Cardiac segmentation, 3D consistency, neural network. [bibtex-entry]



12. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Alan Fraser, Bart Bijnens, and Gemma Piella. Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Analysis, 35:70-82, 2017. Keyword(s): echocardiography, pattern analysis, multiple kernel learning, Myocardial motion. [bibtex-entry]



13. David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, and Oscar Camara. Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT. IEEE Journal of Translational Engineering in Health and Medicine, 5:1900215, 2017. Keyword(s): electro - anatomical mapping system, quantitative pattern analysis, left bundle branch block, subject - specific 2D and 3D data representation, Cardiac resynchronization therapy, lead placement. [bibtex-entry]



14. 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]



15. Nerea Mangado, Mario Ceresa, Nicolas Duchateau, Hans Martin Kjer, Sergio Vera, Hector Dejea Velardo, Pavel Mistrik, Rasmus R. Paulsen, Jens Fagertun, Jérôme Noailly, Gemma Piella, and Miguel Ángel González Ballester. Automatic model generation framework for computational simulation of cochlear implantation. Annals of Biomedical Engineering, 44(8):2453-2463, 2016. [bibtex-entry]



16. Nicolas Duchateau, Gemma Piella, Alejandro Frangi, and Mathieu de Craene. Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?. In Guorong Wu, Dinggang Shen, and Mert Sabuncu, editors, Machine learning and medical imaging, 1st Edition, pages 365-382. Elsevier, 2016. [bibtex-entry]



17. 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]



18. 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]

1. Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, and Nicolas Duchateau. Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lectune notes in computer science (LNCS), Stanford, United States, pages 223-231, June 2021. Springer. Keyword(s): Cardiac imaging, manifold learning, myocardial strain, heart shape. [bibtex-entry]



2. 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]



3. 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]



4. 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]



5. 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]



6. 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]



7. 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]



8. 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]



9. 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]



10. 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]



11. 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]



12. 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]



13. Stephanie Marchesseau, Nicolas Duchateau, and Hervé Delingette. Segmentation and registration coupling from short-axis Cine MRI: application to infarct diagnosis. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, volume 10124 of Lecture Notes in Computer Science, Athens, Greece, pages 48-56, October 2016. Note: In press. Keyword(s): Regional Volumes, Segmentation, Registration, Infarct diagnosis. [bibtex-entry]



14. 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]



15. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Gabor Kunszt, Anna Degiovanni, Erberto Carluccio, Alan Fraser, Gemma Piella, and Bart Bijnens. Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines?. In EuroEcho-Imaging, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Leipzig, Germany, December 2016. Note: In press. [bibtex-entry]



16. Nicolas Duchateau, Nerea Mangado, Mario Ceresa, Pavel Mistrik, Sergio Vera, and Miguel Angel Gonzalez Ballester. Virtual cochlear electrode insertion via parallel transport frame. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, New York, France, pages 1398 - 1401, April 2015. [bibtex-entry]



17. 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]



18. 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]



19. 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]



20. Nerea Mangado, Mario Ceresa, Nicolas Duchateau, Hector Dejea, Hans Martin Kjer, Rasmus Paulsen, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Automatic generation of a computational model for monopolar stimulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S67-S68, 2015. [bibtex-entry]



21. Nerea Mangado, Nicolas Duchateau, Mario Ceresa, Hans Martin Kjer, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S102-S103, 2015. [bibtex-entry]



22. 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]



23. Sergio Sanchez-Martinez, Nicolas Duchateau, Bart Bijnens, Tamás Erdei, Alan Fraser, and Gemma Piella. Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction. In 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, volume 9126 of Functional Imaging and Modeling of the Heart, LNCS, Maastricht, Netherlands, pages 65-73, 2015. [bibtex-entry]



24. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Can machine learning help to identify heart failure with preserved ejection fraction?. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii38-9, 2015. [bibtex-entry]



25. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii234, 2015. [bibtex-entry]



26. David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, and Oscar Camara. Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT. In FIMH: Functional Imaging and Modeling of the Heart, volume LNCS of Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, pages 74-82, June 2015. [bibtex-entry]



27. Nicolas Duchateau, Mathieu De Craene, Xavier Pennec, Beatriz Merino, Marta Sitges, and Bart Bijnens. Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?. In Proc. of STIA 2012 (Spatio-=Temporal Image Analysis for Longitudinal and Time-Series Image Data, volume 7570 of LNCS, pages 25-37, October 2012. Springer, Heidelberg. [bibtex-entry]

1. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. Note: Working paper or preprint, March 2018. Keyword(s): spatial consistency, convolutional neu- ral network, deep learning, myocardial segmentation, propagation. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html