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Publications of Nicolas Duchateau

Articles in journal, book chapters

  1. 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): large database for machine learning, biomechanical modeling, Image synthesis and simulation, magnetic resonance., validation, myocardial infarct. [bibtex-entry]


  2. 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): three-dimensional echocardiography, speckle-tracking imaging, pulmonary hypertension. [bibtex-entry]


  3. 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): Key-words: Tetralogy of Fallot, 3D speckle-tracking imaging, Right Ventricular Function, Echocardiography, Pregnancy. [bibtex-entry]


  4. 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): Cardiac modeling, myocardial infarct, statistical shape analysis, classification. [bibtex-entry]


  5. 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, April 2018. Keyword(s): deep learning, neural network, 3D consistency, Cardiac segmentation, spatial propagation. [bibtex-entry]


  6. 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]


  7. 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): subject - specific 2D and 3D data representation, Cardiac resynchronization therapy, electro - anatomical mapping system, quantitative pattern analysis, left bundle branch block, lead placement. [bibtex-entry]


  8. 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]


  9. 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]


  10. 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]


  11. 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): motion estimation, image registration, Echocardiography, free form deformation (FFD). [bibtex-entry]


  12. 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]


Conference articles

  1. 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 Journées Européennes de la Société Française de Cardiologie, Paris, France, 2019. [bibtex-entry]


  2. 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 Journées Européennes de la Société Française de Cardiologie, Paris, France, 2019. [bibtex-entry]


  3. Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. In ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging, Granada, Spain, September 2018. [bibtex-entry]


  4. 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]


  5. Pamela Moceri, Nicolas Duchateau, D Baudouy, F Squara, E 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]


  6. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, S Hascoet, Delphine Baudouy, Emile Ferrari, and M Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In Euroecho, Milan, Italy, 2018. [bibtex-entry]


  7. Pamela Moceri, Nicolas Duchateau, B 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]


  8. 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]


  9. 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, Lisbon, Portugal, 2017. [bibtex-entry]


  10. 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]


  11. 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): Infarct diagnosis, Registration, Regional Volumes, Segmentation. [bibtex-entry]


  12. 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]


  13. 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]


  14. 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]


  15. 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]


  16. 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]


  17. 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]


  18. 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]


  19. 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]


  20. 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 Modeling of the Heart (STACOM 2015), Munich, Germany, 2015. Keyword(s): Medical Imaging, Cardiac Motion, Machine Learning. [bibtex-entry]


  21. 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]


  22. 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]


  23. 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]


  24. 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]


  25. 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]


Miscellaneous

  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): propagation, convolutional neu- ral network, spatial consistency, myocardial segmentation, deep learning. [bibtex-entry]



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Last modified: Thu Jun 27 00:30:05 2019
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