Nicolas Duchateau

143

Documents

Publications

	Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images Anastasia Konik , Patrick Clarysse , Nicolas Duchateau Pattern Recognition Letters, 2025, 188, pp.8-14. ⟨10.1016/j.patrec.2024.11.017⟩ Journal articles hal-04805237v1
	Hierarchical data integration with Gaussian processes: application to the characterization of cardiac ischemia-reperfusion patterns Benoit Freiche , Gabriel Bernardino , Romain Deleat-Besson , Patrick Clarysse , Nicolas Duchateau IEEE Transactions on Medical Imaging, inPress, ⟨10.1109/TMI.2024.3512175⟩ Journal articles hal-04825173v1
	Challenges for augmenting intelligence in cardiac imaging Partho Sengupta , Damini Dey , Rhodri Davies , Nicolas Duchateau , Naveena Yanamala The Lancet Digital Health, 2024, 6 (10), pp.e739-e748. ⟨10.1016/S2589-7500(24)00142-0⟩ Journal articles hal-04805259v1
	AI-Based Strain Estimation in Echocardiography Using Open and Collaborative Data Nicolas Duchateau , Gabriel Bernardino JACC: Cardiovascular Imaging, 2024, 17 (8), pp.877-879. ⟨10.1016/j.jcmg.2024.05.020⟩ Journal articles hal-04805284v1
	Pixel-wise statistical analysis of myocardial injury in STEMI patients with delayed enhancement MRI Nicolas Duchateau , Magalie Viallon , Lorena Petrusca , Patrick Clarysse , Nathan Mewton Frontiers in Cardiovascular Medicine, 2023, 10, ⟨10.3389/fcvm.2023.1136760⟩ Journal articles hal-04153424v1
	Echocardiography Segmentation with Enforced Temporal Consistency Nathan Painchaud , Nicolas Duchateau , Olivier Bernard , Pierre-Marc Jodoin IEEE Transactions on Medical Imaging, 2022, 41 (10), pp.2867-2878. ⟨10.1109/TMI.2022.3173669⟩ Journal articles hal-03672999v1
	Additional prognostic value of echocardiographic follow-up in pulmonary hypertension - role of 3D right ventricular area strain Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Fabien Squara , Sok Sithikun Bun European Heart Journal - Cardiovascular Imaging, 2021, ⟨10.1093/ehjci/jeab240⟩ Journal articles hal-03544765v1
	Value of 3D right ventricular function over 2D assessment in acute pulmonary embolism Pamela Moceri , Nicolas Duchateau , Benjamin Sartre , Delphine Baudouy , Fabien Squara Echocardiography, 2021, ⟨10.1111/echo.15167⟩ Journal articles hal-03544761v1
	Characterizing interactions between cardiac shape and deformation by non-linear manifold learning Maxime Di Folco , Moceri Pamela , Patrick Clarysse , Nicolas Duchateau Medical Image Analysis, 2021, pp.102278. ⟨10.1016/j.media.2021.102278⟩ Journal articles hal-03407714v1
	Direction-dependent decomposition of 3D right ventricular motion: beware of approximations Nicolas Duchateau , Pamela Moceri , Maxime Sermesant Journal of The American Society of Echocardiography, 2021, 34 (2), pp.201-203. ⟨10.1016/j.echo.2020.08.023⟩ Journal articles hal-03538132v1
	Right ventricular area strain from 3D echocardiography: mechanistic insight of right ventricular dysfunction in pediatric pulmonary hypertension Pei-Ni Jone , Nicolas Duchateau , Zhaoxing Pan , Dunbar Ivy , Pamela Moceri The Journal of Heart and Lung Transplantation, 2020 Journal articles hal-03088218v1
	3D right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading Pamela Moceri , Nicolas Duchateau , Stéphane Gillon , Lolita Jaunay , Delphine Baudouy European Heart Journal - Cardiovascular Imaging, inPress, 22 (10), pp.1174-1181. ⟨10.1093/ehjci/jeaa189⟩ Journal articles hal-02913107v1
	Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study Dmitri Nepogodiev , Aneel Bhangu , James Glasbey , Elizabeth Li , Omar Omar The Lancet, 2020, 396 (10243), pp.27-38. ⟨10.1016/s0140-6736(20)31182-x⟩ Journal articles hal-04545439v1
	Machine learning approaches for myocardial motion and deformation analysis Nicolas Duchateau , Andrew King , Mathieu de Craene Frontiers in Cardiovascular Medicine, 2020, 6, pp.190. ⟨10.3389/fcvm.2019.00190⟩ Journal articles hal-02408651v1
	Proposed Requirements for Cardiovascular Imaging Related Machine Learning Evaluation (PRIME) Checklist Reviewed by the American College of Cardiology Health Care Innovation Council Partho P Sengupta , Sirish Shrestha , Béatrice Berthon , Emmanuel Messas , Erwan Donal Journal of the American College of Cardiology, 2020, ⟨10.1016/j.jcmg.2020.07.015⟩ Journal articles hal-04060177v1
	Proposed Requirements for Cardiovascular Imaging Related Machine Learning Evaluation (PRIME) Checklist Partho Sengupta , Sirish Shrestha , Béatrice Berthon , Emmanuel Messas , Erwan Donal JACC: Cardiovascular Imaging, 2020, 13, pp.2017-35 Journal articles hal-03019705v1
	Variability in the assessment of myocardial strain patterns: Implications for adequate interpretation Nicolas Duchateau , Filip Loncaric , Maja Cikes , Adelina Doltra , Marta Sitges Ultrasound in Medicine & Biology, 2020, 46, pp.244-254 Journal articles hal-02350822v1
	Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy Maja Cikes , Sergio Sanchez-Martinez , Brian Claggett , Nicolas Duchateau , Gemma Piella European Journal of Heart Failure, 2019, 21 (1), pp.74-85. ⟨10.1002/ejhf.1333⟩ Journal articles hal-01912849v1
	Statistical shape modeling of the left ventricle: myocardial infarct classification challenge Avan A Suinesiaputra , Pierre A Ablin , Xènia A Albà , Martino Alessandrini , Jack A Allen IEEE Journal of Biomedical and Health Informatics, 2018, 22 (3), pp.503-515. ⟨10.1109/JBHI.2017.2652449⟩ Journal articles hal-01533805v1
	Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction Sergio Sanchez-Martinez , Nicolas Duchateau , Tamas Erdei , Gabor Kunszt , Svend Aakhus Circulation: Cardiovascular Imaging, 2018, 11 (4), ⟨10.1161/CIRCIMAGING.117.007138⟩ Journal articles hal-02282401v1
	3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation Qiao Zheng , Hervé Delingette , Nicolas Duchateau , Nicholas Ayache IEEE Transactions on Medical Imaging, 2018, 37, pp.2137-2148 Journal articles hal-01753086v1
	Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Elie-Dan Schouver , Sylvie Leroy European Heart Journal - Cardiovascular Imaging, 2018, 19, pp.450-458. ⟨10.1093/ehjci/jex163⟩ Journal articles hal-01533793v1
	Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot Pamela Moceri , Maxime Sermesant , Delphine Baudouy , Emile Ferrari , Nicolas Duchateau Canadian Journal of Cardiology, 2018, 34 (10), pp.1369.e9 - 1369.e11. ⟨10.1016/j.cjca.2018.06.010⟩ Journal articles hal-01926967v1
	Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases Nicolas Duchateau , Maxime Sermesant , Hervé Delingette , Nicholas Ayache IEEE Transactions on Medical Imaging, 2018, 37, pp.755-766. ⟨10.1109/TMI.2017.2714343⟩ Journal articles hal-01533788v1
	Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT David Soto-Iglesias , Nicolas Duchateau , Constantine Butakoff , David Andreu , Juan Fernández-Armenta IEEE Journal of Translational Engineering in Health and Medicine, 2017, 5, pp.1900215. ⟨10.1109/JTEHM.2016.2634006⟩ Journal articles hal-01398828v1
	Characterization of myocardial motion patterns by unsupervised multiple kernel learning Sergio Sanchez-Martinez , Nicolas Duchateau , Tamas Erdei , Alan Fraser , Bart Bijnens Medical Image Analysis, 2017, 35, pp.70-82. ⟨10.1016/j.media.2016.06.007⟩ Journal articles hal-01331550v1
	Dyssynchronization reduces dynamic obstruction without affecting systolic function in patients with hypertrophic obstructive cardiomyopathy: a pilot study Geneviève Giraldeau , Nicolas Duchateau , Bart Bijnens , Luigi Gabrielli , Diego Penela International Journal of Cardiovascular Imaging, 2016, 32 (8), pp.1179-1188. ⟨10.1007/s10554-016-0903-3⟩ Journal articles hal-02282402v1
	Automatic model generation framework for computational simulation of cochlear implantation Nerea Mangado , Mario Ceresa , Nicolas Duchateau , Hans Martin Kjer , Sergio Vera Annals of Biomedical Engineering, 2016, 44 (8), pp.2453-2463. ⟨10.1007/s10439-015-1541-y⟩ Journal articles hal-01314765v1
	Differential atrial performance at rest and exercise in athletes: Potential trigger for developing atrial dysfunction? L. Gabrielli , B. Bijnens , C. Brambila , Nicolas Duchateau , J. Marin Scandinavian Journal of Medicine and Science in Sports, 2016, 26 (12), pp.1444-1454. ⟨10.1111/sms.12610⟩ Journal articles hal-02282403v1
	Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space Nicolas Duchateau , Mathieu de Craene , Pascal Allain , Eric Saloux , Maxime Sermesant IEEE Transactions on Medical Imaging, 2016, 35 (10), pp.2340-2352. ⟨10.1109/TMI.2016.2562181⟩ Journal articles hal-01314767v1
	Inter-atrial dyssynchrony may contribute to heart failure symptoms in patients with preserved ejection fraction : a potential novel therapeutic target. Laura Sanchis , Luca Vannini , Luigi Gabrielli , Nicolas Duchateau , Carles Falces Echocardiography, 2015, 32 (11), pp.1655-1661. ⟨10.1111/echo.12927⟩ Journal articles hal-02282406v1
	Left atrial dysfunction relates to symptom onset in patients with heart failure and preserved left ventricular ejection fraction L. Sanchis , L. Gabrielli , R. Andrea , C. Falces , Nicolas Duchateau European Heart Journal - Cardiovascular Imaging, 2015, 16 (1), pp.62-67. ⟨10.1093/ehjci/jeu165⟩ Journal articles hal-02282410v1
	Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences Nicolas Duchateau , Geneviève Giraldeau , Luigi Gabrielli , Juan Fernández-Armenta , Diego Penela Medical Image Analysis, 2015, 19 (1), pp.203-219. ⟨10.1016/j.media.2014.10.005⟩ Journal articles hal-02282407v1
	Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images Antonio Porras , Martino Alessandrini , Mathieu de Craene , Nicolas Duchateau , Marta Sitges IEEE Transactions on Medical Imaging, 2014, 33 (11), pp.2098 - 2106. ⟨10.1109/TMI.2014.2331392⟩ Journal articles hal-01095151v1
	Myocardial motion and deformation patterns in an experimental swine model of acute LBBB/CRT and chronic infarct Nicolas Duchateau , Marta Sitges , Adelina Doltra , Juan Fernández-Armenta , Nuria Solanes International Journal of Cardiovascular Imaging, 2014, 30 (5), pp.875-887. ⟨10.1007/s10554-014-0403-2⟩ Journal articles hal-02282411v1
	Atrial functional and geometrical remodeling in highly trained male athletes: for better or worse? Luigi Gabrielli , Bart Bijnens , Constantine Butakoff , Nicolas Duchateau , Silvia Montserrat European Journal of Applied Physiology, 2014, 114 (6), pp.1143-1152. ⟨10.1007/s00421-014-2845-6⟩ Journal articles hal-02282412v1
	Development of a Swine Model of Left Bundle Branch Block for Experimental Studies of Cardiac Resynchronization Therapy Montserrat Rigol , Núria Solanes , Juan Fernández-Armenta , Etelvino Silva , Adelina Doltra Journal of Cardiovascular Translational Research, 2013, 6 (4), pp.616-622. ⟨10.1007/s12265-013-9464-1⟩ Journal articles hal-02282415v1
	A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT C. Hoogendoorn , Nicolas Duchateau , D. Sanchez-Quintana , T. Whitmarsh , F. Sukno IEEE Transactions on Medical Imaging, 2013, 32 (1), pp.28-44. ⟨10.1109/TMI.2012.2230015⟩ Journal articles hal-02282416v1
	Model generation of coronary artery bifurcations from CTA and single plane angiography Rubén Cárdenes , José L Diez , Nicolas Duchateau , Ali Pashaei , Alejandro Frangi Medical Physics, 2013, 40 (1), pp.013701. ⟨10.1118/1.4769118⟩ Journal articles hal-02282419v1
	Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models Catalina Tobon-Gomez , Nicolas Duchateau , Rafael Sebastian , Stéphanie Marchesseau , Oscar Camara Medical and Biological Engineering and Computing, 2013, pp.1--16. ⟨10.1007/s11517-013-1044-7⟩ Journal articles hal-00840037v1
	Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography Mathieu de Craene , Gemma Piella , Oscar Camara , Nicolas Duchateau , Etelvino Silva Medical Image Analysis, 2012, 16 (2), pp.427-450. ⟨10.1016/j.media.2011.10.006⟩ Journal articles hal-02282425v1
	Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-Value for Understanding the Effect of Cardiac Resynchronization Therapy Nicolas Duchateau , Adelina Doltra , Etelvino Silva , Mathieu de Craene , Gemma Piella Ultrasound in Medicine & Biology, 2012, 38 (12), pp.2186-2197. ⟨10.1016/j.ultrasmedbio.2012.08.009⟩ Journal articles hal-02282422v1
	Constrained manifold learning for the characterization of pathological deviations from normality Nicolas Duchateau , Mathieu de Craene , Gemma Piella , Alejandro Frangi Medical Image Analysis, 2012, 16 (8), pp.1532-1549. ⟨10.1016/j.media.2012.07.003⟩ Journal articles hal-02282424v1
	A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities Nicolas Duchateau , Mathieu de Craene , Gemma Piella , Etelvino Silva , Adelina Doltra Medical Image Analysis, 2011, 15 (3), pp.316-328. ⟨10.1016/j.media.2010.12.006⟩ Journal articles hal-02282430v1

	Apprentissage de représentation pour la quantification de biais dans l’analyse de populations: application à la comparaison du LGE conventionnel vs. synthétique avec TI optimal Romain Deleat-Besson , Magalie Viallon , Lorena Petrusca , P Croisille , Nicolas Duchateau Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2024, Grenoble, France Conference papers hal-04825179v1
	Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning Arnaud Judge , Thierry Judge , Nicolas Duchateau , Roman Sandler , Joseph Sokol International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024, Marrakesh, Morocco Conference papers hal-04650344v1
	Fusion d'échocardiographie et de dossiers médicaux pour la caractérisation de l'hypertension Nathan Painchaud , Pierre-Yves Courand , Pierre-Marc Jodoin , Nicolas Duchateau , Olivier Bernard Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2024, Grenoble, France Conference papers hal-04825186v1
	Développement d’une plateforme dédiée au contrôle de qualité, correction et suivi de données étiquetées pour la segmentation par apprentissage William A. Romero R. , Olivier Bernard , Lorena Petrusca , Nicolas Duchateau , Patrick Clarysse Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2024, Grenoble, France Conference papers hal-04825182v1
	AI-based comparison of conventional LGE & synthetic MagIR-LGE with optimal inversion-time: impact on population analysis? Romain Deleat-Besson , Magalie Viallon , Lorena Petrusca , P Croisille , Nicolas Duchateau SCMR, Jan 2024, London, United Kingdom Conference papers hal-04361033v1
	Identification de modèles à l'échelle d'une population : application à l'infarctus du myocarde Anastasia Konik , Patrick Clarysse , Nicolas Duchateau Journées du GDR MECABIO Santé, Dec 2024, Metz, France Conference papers hal-04805483v1
	A population-based approach to the simulation of realistic 3D myocardial infarction Anastasia Konik , Nicolas Duchateau , Patrick Clarysse Recherche en Imagerie et Technologies pour la Santé (RITS) 2024, Jun 2024, Aubière, France Conference papers hal-04608087v1
	Fusing echocardiography images and medical records for continuous patient stratification Nathan Painchaud , Pierre-Yves Courand , Pierre-Marc Jodoin , Nicolas Duchateau , Olivier Bernard Medical Imaging with Deep Learning (MIDL) - short papers, 2024, Paris, France Conference papers hal-04825247v1
	Exploration of age-related hemodynamic and mechanical changes in the human thoracic aorta using an atlas based approach Elodie Piot , Nicolas Duchateau , Marine Menut , Benyebka Bousaïd , Patrick Clarysse International Society for Magnetic Resonance in Medicine (ISMRM), 2023, Toronto, Canada Conference papers hal-04825221v1
	Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction Bianca Freytag , Nicolas Duchateau , Lorena Petrusca , Jacques Ohayon , P Croisille 12th International Conferenceon Functional Imaging and Modeling of the Heart (FIMH 2023), LNCS, Jun 2023, Lyon, France. pp.678-687 Conference papers hal-04096727v1
	Strainger things: discrete differential geometry for transporting right ventricular deformation across meshes Gabriel Bernardino , Thomas Dargent , Oscar Camara , Nicolas Duchateau 12th International Conference on Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France. pp.338-346, ⟨10.1007/978-3-031-35302-4_35⟩ Conference papers hal-04096720v1
	Effect of ASD closure on right ventricular function using 3D echocardiography Pamela Moceri , Nicolas Duchateau , Lolita Jaunay , Delphine Baudouy , Maxime Sermesant Journées Européennes de la Société Française de Cardiologie (JESFC), 2023, Paris, France. pp.68-69, ⟨10.1016/j.acvdsp.2022.10.127⟩ Conference papers hal-04825192v1
	Segmentation de séquences échocardiographiques avec contraintes de cohérence temporelle Nathan Painchaud , Nicolas Duchateau , Olivier Bernard , Pierre-Marc Jodoin Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2023, Paris, France Conference papers hal-04825208v1
	Which anatomical directions to quantify local right ventricular strain in 3D echocardiography? Maxime Di Folco , Thomas Dargent , Gabriel Bernardino , Patrick Clarysse , Nicolas Duchateau 12th International Conference on Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France. pp.607-615 Conference papers hal-04096724v1
	Localizing cardiac dyssynchrony in M-mode echocardiography with attention maps Marta Saiz-Vivó , Isaac Capallera , Nicolas Duchateau , Gabriel Bernardino , Gemma Piella 12th International Conference on Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France. pp.688-697 Conference papers hal-04096726v1
	Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension Gabriel Bernardino , Filip Loncaric , Anders Jonsson , Pablo-Miki Marti Castellote , Marta Sitges EACVI Congress, 2023, Barcelone, Spain. ⟨10.1093/ehjci/jead119.353⟩ Conference papers hal-04825200v1
	Exploration of age-related hemodynamic changes using an atlas based analysis of 4D flow MRI: a preliminary study Elodie Piot , Nicolas Duchateau , Philippe Douek , Sara Boccalini , Monica Sigovan Society for Magnetic Resonance Angiography (SMRA), 2022, Los Angeles, United States Conference papers hal-04825233v1
	Reinforcement learning for active modality selection during diagnosis Gabriel Bernardino , Anders Jonsson , Filip Loncaric , Pablo-Miki Marti Castellote , Marta Sitges 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore Conference papers hal-03752018v1
	Population-based personalization of geometric models of myocardial infarction Kannara Mom , Patrick Clarysse , Nicolas Duchateau Functional Imaging and Modelling of the Heart, 2021, Stanford, United States. In press Conference papers hal-03203372v1
	Hierarchical manifold learning for the interpretation of multi-level data -Application to cardiac imaging Benoit Freiche , Patrick Clarysse , Magalie Viallon , P. Croisille , Nicolas Duchateau Medical Image Analysis and Artificial Intelligence (MAI), 2nd Sino-French workshop. 2021., Oct 2021, Virtual, France Conference papers hal-03522559v1
	Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling Gabriel Bernardino , Patrick Clarysse , Álvaro Sepúlveda-Martínez , Mérida Rodríguez-López , Susanna Prat-Gonzàlez Statistical Atlases and Computational Modelling of the Heart, 2021, Strasbourg, France. pp.103-112, ⟨10.1007/978-3-030-93722-5_12⟩ Conference papers hal-03536022v1
	Pixel-wise statistical analysis of lesion patterns: a fresh look at immediate vs. delayed stenting of the Minimalist Immediate Mechanical Intervention approach (MIMI) in acute STEMI Nicolas Duchateau , Magalie Viallon , Lorena Petrusca , Patrick Clarysse , Loic Belle Society for Cardiovascular Magnetic Resonance (SCMR), 2021, Virtual conference, United Kingdom Conference papers hal-04825240v1
	Characterizing myocardial ischemia and reperfusion patterns with hierarchical manifold learning Benoit Freiche , Patrick Clarysse , Magalie Viallon , P. Croisille , Nicolas Duchateau Statistical Atlases and Computational Modeling of the Heart (STACOM), MICCAI Workshop, 2021, Strasbourg, France Conference papers hal-03510191v1
	Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation Maxime Di Folco , Nicolas Guigui , Patrick Clarysse , Pamela Moceri , Nicolas Duchateau FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Jun 2021, Stanford, United States. pp.223-231, ⟨10.1007/978-3-030-78710-3_22⟩ Conference papers hal-03203378v1
	Velocity-based cardiac self-gating in free-running radial 4D Flow MRI Monica Sigovan , N Duchateau , Philippe Douek , C Prieto , L. Boussel Society for Magnetic Resonance Angiography 33rd Annual International Conference, Sep 2021, Virtuel, United States Conference papers hal-03749159v1
	Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking Pamela Moceri , Nicolas Duchateau , N Dursent , Xavier Iriart , Sébastien Hascoet JESFC 2020 - 30es Journées Européennes de la Société Française de Cardiologie, Jan 2020, Paris, France. pp.163-4 Conference papers hal-02445303v1
	Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Céline Sanfiorenzo , Fabien Squara JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Jan 2019, Paris, France Conference papers hal-02161692v1
	Learning interactions between cardiac shape and deformation: application to pulmonary hypertension Maxime Di Folco , Patrick Clarysse , Pamela Moceri , Nicolas Duchateau 10th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2019, 2019, Shenzen, China Conference papers hal-02309296v1
	Domain adaptation via dimensionality reduction for the comparison of cardiac simulation models Nicolas Duchateau , Kenny Rumindo , Patrick Clarysse 10th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2019), 2019, Bordeaux, France. ⟨10.1007/978-3-030-21949-9_30⟩ Conference papers hal-02154942v1
	Caractérisation statistique de l'infarctus du myocarde pour la personnalisation de modèles géométriques de lésions M Di Folco , Nicolas Duchateau , Magalie Viallon , Pierre Croisille , P Clarysse Congrès National d’Imagerie du Vivant, 2019, Paris, France Conference papers hal-01994480v1
	Three dimensional right ventricular global and regional strain predict outcomes in pediatric pulmonary hypertension Pei-Ni Jone , Nicolas Duchateau , Zhaoxing Pan , Dunbar Ivy , Pamela Moceri ASE Scientific Sessions, 2019, Portland, United States Conference papers hal-02178261v1
	Three dimensional right ventricular strain in pediatric pulmonary hypertension Pei-Ni Jone , Nicolas Duchateau , Zhaoxing Pan , Dunbar Ivy , Pamela Moceri ACC scientific sessions, 2019, New Orleans, United States Conference papers hal-01994481v1
	6-month echocardiographic changes in pulmonary hypertension patients - Prognostic value of 3D area strain Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Alexandre Poulard , Céline Sanfiorenzo Journées Européennes de la Société Française de Cardiologie (JESFC), 2019, Paris, France. pp.e327, ⟨10.1016/j.acvdsp.2019.04.052⟩ Conference papers hal-04827622v1
	Left Ventricular Shape and Motion Reconstruction through a Healthy Model for Characterizing Remodeling after Infarction Mathieu de Craene , Paolo Piro , Nicolas Duchateau , Pascal Allain , Eric Saloux 10th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2019), Jun 2019, Bordeaux, France. pp.159-167, ⟨10.1007/978-3-030-21949-9_18⟩ Conference papers hal-02154789v1
	3D right ventricular strain and shape in volume overload: comparative analysis of Tetralogy of Fallot and atrial septal defect patients Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Fabien Squara , Emile Ferrari JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Jan 2019, Paris, France Conference papers hal-02161694v1
	Right ventricular function in acute pulmonary embolism: a three-dimensional strain study Pamela Moceri , Nicolas Duchateau , Benjamin Sartre , M Sermesant , Emile Ferrari Euroecho, 2018, Milan, Italy Conference papers hal-01994484v1
	Machine-learning analysis of myocardial deformation patterns to predict incident heart failure or death in the general population S Sanchez , M Cikes , B Claggett , Nicolas Duchateau , G Piella ESC congress, 2018, Munich, Germany Conference papers hal-01994487v1
	Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension Pamela Moceri , Nicolas Duchateau , D Baudouy , C Sanfiorenzo , F Squara ESC congress, 2018, Munich, Germany Conference papers hal-01994488v1
	Personalization of Synthetic Pathological Left Ventricles using Learning-Based Infarct Localization and Finite-Element Inverse Modeling G Kenny Rumindo , Nicolas Duchateau , Jacques Ohayon , Pierre Croisille , Patrick Clarysse 2018 World Congress of Biomechanics, Jul 2018, Dublin, Ireland Conference papers hal-01912922v1
	Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Fabien Squara , Emile Ferrari ESC congress, 2018, Munich, Germany Conference papers hal-01994486v1
	Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking Pamela Moceri , Nicolas Duchateau , N Dursent , Xavier Iriart , Sébastien Hascoet EuroEcho 2018 - 22nd Annual Congressof the European Association of Cardiovascular Imaging, Dec 2018, Milan, Italy Conference papers hal-01994483v1
	Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension Shuman Jia , Nicolas Duchateau , Pamela Moceri , Maxime Sermesant , Xavier Pennec Shape in Medical Imaging. ShapeMI 2018., Sep 2018, Granada, Spain. pp.116-124, ⟨10.1007/978-3-030-04747-4_11⟩ Conference papers hal-01860274v1
	Inter-operator variability of shapes and strain patterns: insights from a myocardial strain course Nicolas Duchateau , Maja Cikes , Adelina Doltra , Marta Sitges , Bart Bijnens Euroecho, 2017, Libson, Portugal Conference papers hal-01994489v1
	3D right ventricular strain: comparative analysis of Tetralogy of Fallot and atrial septal defect P Moceri , M Sermesant , D Baudouy , E. Ferrari , Nicolas Duchateau Euroecho-Imaging 2017 - Twenty-First Annual Meeting of the European Association of Echocardiography, Dec 2017, Lisbon, Portugal Conference papers hal-01994491v1
	Strain-based parameters for infarct localization: evaluation via a learning algorithm on a synthetic database of pathological hearts Gerardo Rumindo , Nicolas Duchateau , Pierre Croisille , Jacques Ohayon , Patrick Clarysse 9th International Conference, Functional Imaging and Modeling of the Heart (FIMH), 2017, Toronto, Canada. pp.106-114 Conference papers hal-01829278v1
	GENERATION OF A SYNTHETIC DATABASE OF HEART MODELS TO EVALUATE STRAIN-BASED INFARCT DETECTION ALGORITHMS Garardo Rumindo , Nicolas Duchateau , Magalie Viallon , Pierre Croisille , Jacques Ohayon Recherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France Conference papers hal-01505515v1
	Three-dimensional speckle tracking of the right ventricle : implications on survival Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Elie-Dan Schouver , P Bouvier Journées Européennes de la Société Française de Cardiologie, 2017, Paris, France Conference papers hal-02161690v1
	Combining imaging, biomechanical modeling and data analysis for myocardial infarct localization and characterization Gerardo Rumindo , Nicolas Duchateau , Pierre Croisille , Jacques Ohayon , Patrick Clarysse Journée Scientifique de la faculté des Sciences et technologies de l'UCBL, Jun 2017, Lyon, France Conference papers hal-01561663v1
	Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines? Sergio Sanchez-Martinez , Nicolas Duchateau , Tamas Erdei , Gabor Kunszt , Anna Degiovanni EuroEcho-Imaging, Dec 2016, Leipzig, Germany Conference papers hal-01352285v1
	Segmentation and registration coupling from short-axis Cine MRI: application to infarct diagnosis Stephanie Marchesseau , Nicolas Duchateau , Hervé Delingette 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Oct 2016, Athens, Greece. pp.48-56 Conference papers hal-01352460v1
	Three-dimensional speckle tracking of the right ventricle: implications on survival in pulmonary hypertension Pamela Moceri , Nicolas Duchateau , Delphine Baudouy , Sylvie Leroy , Priscille Bouvier European Society of Cardiology (ESC) Congress, Aug 2016, Rome, Italy. pp.994 Conference papers hal-01315011v1
	Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space Nicolas Duchateau , Mathieu de Craene , Pascal Allain , Eric Saloux , Maxime Sermesant GRIC - Journées Francophones de Radiologie, 2016, Paris, France Conference papers hal-02161688v1
	Automatic generation of a computational model for monopolar stimulation of cochlear implants Nerea Mangado , Mario Ceresa , Nicolas Duchateau , Hector Dejea , Hans Martin Kjer Computer Assisted Radiology and Surgery (CARS), 2015, Barcelona, Spain. pp.S67-S68, ⟨10.1007/s11548-015-1213-2⟩ Conference papers hal-01213341v1
	Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction Sergio Sanchez-Martinez , Nicolas Duchateau , Tamás Erdei , Alan Fraser , Gemma Piella EuroEcho-Imaging, 2015, Seville, Spain. pp.ii234, ⟨10.1093/ehjci/jev271⟩ Conference papers hal-01217993v1
	Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction Sergio Sanchez-Martinez , Nicolas Duchateau , Bart Bijnens , Tamás Erdei , Alan Fraser 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, 2015, Maastricht, Netherlands. pp.65-73, ⟨10.1007/978-3-319-20309-6_8⟩ Conference papers hal-01208016v1
	Virtual cochlear electrode insertion via parallel transport frame Nicolas Duchateau , Nerea Mangado , Mario Ceresa , Pavel Mistrik , Sergio Vera Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, Apr 2015, New York, France. pp.1398 - 1401, ⟨10.1109/ISBI.2015.7164137⟩ Conference papers hal-01207989v1
	Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT David Soto-Iglesias , Nicolas Duchateau , Constantine Butakoff , David Andreu , Juan Fernández-Armenta FIMH: Functional Imaging and Modeling of the Heart, Jun 2015, Maastricht, Netherlands. pp.74-82, ⟨10.1007/978-3-319-20309-6_9⟩ Conference papers hal-01208006v1
	3D regional right ventricular function in pulmonary hypertension Nicolas Duchateau , Maxime Sermesant , Pierre Gibelin , Emile Ferrari , Pamela Moceri EuroEcho-Imaging, 2015, Seville, Spain. pp.ii69, ⟨10.1093/ehjci/jev251⟩ Conference papers hal-01217956v1
	Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants Nerea Mangado , Nicolas Duchateau , Mario Ceresa , Hans Martin Kjer , Sergio Vera Computer Assisted Radiology and Surgery (CARS), 2015, Barcelona, Spain. pp.S102-S103, ⟨10.1007/s11548-015-1213-2⟩ Conference papers hal-01213345v1
	Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction Nicolas Duchateau , Mathieu de Craene , Damien Legallois , Fabien Labombarda , Arnaud Pellissier EuroEcho-Imaging, 2015, Seville, Spain. pp.ii81, ⟨10.1093/ehjci/jev278⟩ Conference papers hal-01217963v1
	Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct Marc-Michel Rohé , Nicolas Duchateau , Maxime Sermesant , Xavier Pennec Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2015., 2015, Munich, Germany. pp.190-198 Conference papers hal-01206710v1
	Prediction of infarct localization from myocardial deformation Nicolas Duchateau , Maxime Sermesant Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Oct 2015, Munich, Germany. ⟨10.1007/978-3-319-28712-6_6⟩ Conference papers hal-01208019v2
	Can machine learning help to identify heart failure with preserved ejection fraction? Sergio Sanchez-Martinez , Nicolas Duchateau , Tamás Erdei , Alan Fraser , Gemma Piella EuroEcho-Imaging, 2015, Seville, Spain. pp.ii38-9, ⟨10.1093/ehjci/jev263⟩ Conference papers hal-01217975v1
	Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart phantom Ali Pashaei , Gemma Piella , Xavier Planes , Nicolas Duchateau , Teresa María de Caralt SPIE Conference on Medical Imaging, 2013, Lake Buena Vista, United States. pp.86710U, ⟨10.1117/12.2008068⟩ Conference papers hal-02320276v1
	Manifold learning characterization of abnormal myocardial motion patterns: application to CRT-induced changes Nicolas Duchateau , Gemma Piella , Adelina Doltra , Lluis Mont , Josep Brugada Functional Imaging and Modeling of the Heart (FIMH), 2013, London, United Kingdom. pp.450-457, ⟨10.1007/978-3-642-38899-6_53⟩ Conference papers hal-02320263v1
	Myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images Antonio R Porras , Mathieu de Craene , Nicolas Duchateau , Marta Sitges , Bart Bijnens 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), 2013, Nagoya, Japan. pp.484-491, ⟨10.1007/978-3-642-40763-5_60⟩ Conference papers hal-02320234v1
	Image-based estimation of myocardial acceleration using TDFFD: a phantom study Ali Pashaei , Gemma Piella , Nicolas Duchateau , Luigi Gabrielli , Oscar Camara Statistical Atlases and Computational Modeling of the Heart (STACOM 2013), 2013, Nagoya, Japan. pp.262-270, ⟨10.1007/978-3-642-54268-8_31⟩ Conference papers hal-02320194v1
	Adaptation of multiscale function extension to inexact matching. Application to the mapping of individuals to a learnt manifold Nicolas Duchateau , Mathieu de Craene , Marta Sitges , Vicent Caselles SEE International Conference on Geometric Science of Information (GSI 2013), 2013, Paris, France. pp.578-586, ⟨10.1007/978-3-642-40020-9_64⟩ Conference papers hal-02320250v1
	Analyzing electrical patterns in an experimental swine model of dyssynchrony and CRT David Soto-Iglesias , Nicolas Duchateau , Constantine Butakoff , David Andreu , Juan Fernández-Armenta Computing in Cardiology 2013 (CINC 2013), 2013, Zaragoza, Spain. pp.623-626 Conference papers hal-02320217v1
	Temporal diffeomorphic Free Form Deformation to quantify changes induced by left and right bundle branch block and pacing G Piella , A Porras , M de Craene , Nicolas Duchateau , A Frangi Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’12 Workshop, 2012, Nice, France. pp.134-141, ⟨10.1007/978-3-642-36961-2_16⟩ Conference papers hal-02320720v1
	Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? Nicolas Duchateau , Mathieu de Craene , Xavier Pennec , Beatriz Merino , Marta Sitges STIA 2012 (Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, Sep 2012, Nice, France. pp.25-37, ⟨10.1007/978-3-642-33555-6_3⟩ Conference papers hal-00813822v1
	Construction of a Statistical Atlas of the Whole Heart from a Large 4D CT Database Karim Lekadir , Corné Hoogendoorn , Nicolas Duchateau , Alejandro Frangi Computing in Cardiology (CinC), 2012, Krakow, Poland. pp.541-545 Conference papers hal-02320722v1
	SPM to the heart: mapping of 4D continuous velocities for motion abnormality quantification M de Craene , Nicolas Duchateau , C Tobon-Gomez , B Ghafaryasl , G Piella International Symposium on Biomedical Imaging (ISBI), 2012, Barcelone, Spain. pp.454-457, ⟨10.1109/ISBI.2012.6235582⟩ Conference papers hal-02320726v1
	Temporal diffeomorphic Free Form Deformation (TDFFD) applied to motion and deformation quantification of tagged MRI sequences Mathieu de Craene , C Tobon-Gomez , C Butakoff , Nicolas Duchateau , G Piella Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’11 Workshop, 2011, Toronto, Canada. pp.68-77, ⟨10.1007/978-3-642-28326-0_7⟩ Conference papers hal-02320745v1
	Characterizing Pathological Deviations from Normality using Constrained Manifold-Learning Nicolas Duchateau , Mathieu de Craene , Gemma Piella , Alejandro Frangi International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011, Toronto, Canada. pp.256-263, ⟨10.1007/978-3-642-23626-6_32⟩ Conference papers hal-02320743v1
	Atlas-based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome? Nicolas Duchateau , Mathieu de Craene , Gemma Piella , Corné Hoogendoorn , Etelvino Silva Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’10 Workshop, 2010, Beijing, China. pp.65-74, ⟨10.1007/978-3-642-15835-3_7⟩ Conference papers hal-02320748v1
	A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction Corné Hoogendoorn , Tristan Whitmarsh , Nicolas Duchateau , Federico M Sukno , Mathieu de Craene SPIE Conference on Medical Imaging, 2010, San Diego, United States. pp.76231R, ⟨10.1117/12.844428⟩ Conference papers hal-02320752v1
	Atlas construction and image analysis using statistical cardiac models Mathieu de Craene , Federico M Sukno , Catalina Tobon-Gomez , Constantine Butakoff , Rosa M Figueras I Ventura Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’10 Workshop, 2010, Beijing, China. pp.1-13, ⟨10.1007/978-3-642-15835-3_1⟩ Conference papers hal-02320750v1
	Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images Mathieu de Craene , Gemma Piella , Nicolas Duchateau , Etel Silva , Adelina Doltra International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010, Beijing, China. pp.1-8, ⟨10.1007/978-3-642-15745-5_1⟩ Conference papers hal-02320746v1
	Septal Flash Assessment on CRT Candidates Based on Statistical Atlases of Motion Nicolas Duchateau , Mathieu de Craene , Etel Silva , Marta Sitges , Bart Bijnens International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2009, London, United Kingdom. pp.759-766, ⟨10.1007/978-3-642-04271-3_92⟩ Conference papers hal-02320756v1
	Optimization of beam parameters and iodine quantification in dual-energy contrast enhanced digital breast tomosynthesis Sylvie Puong , Xavier Bouchevreau , Nicolas Duchateau , Razvan Iordache , Serge Müller SPIE Conference on Medical Imaging, 2008, San Diego, United States. pp.69130Z, ⟨10.1117/12.770148⟩ Conference papers hal-02320759v1
	Assessment of laser-dazzling effects on TV cameras by means of pattern recognition algorithms Anne Durécu , Olivier Vasseur , Pierre Bourdon , Bernd Eberle , Helge Bürsing SPIE Conference on Technologies for Optical Countermeasures, 2007, Florence, Italy. pp.67380J Conference papers hal-02320761v1

	Functional Imaging and Modeling of the Heart Olivier Bernard , Patrick Clarysse , Nicolas Duchateau , Jacques Ohayon , Magalie Viallon Springer Nature Switzerland, 13958, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-35302-4⟩ Books hal-04446222v1
	AI and Big Data in Cardiology Nicolas Duchateau , Andrew King Springer International Publishing, 2023, ⟨10.1007/978-3-031-05071-8⟩ Books hal-04212021v1

	Introduction Andrew King , Nicolas Duchateau AI and Big Data in Cardiology, Springer International Publishing, pp.1-10, 2023, ⟨10.1007/978-3-031-05071-8_1⟩ Book sections hal-04212037v1
	Analysis of Non-imaging Data Nicolas Duchateau , Oscar Camara , Rafael Sebastian , Andrew King AI and Big Data in Cardiology, Springer International Publishing, pp.183-200, 2023, ⟨10.1007/978-3-031-05071-8_10⟩ Book sections hal-04212070v1
	AI and Machine Learning: The Basics Nicolas Duchateau , Esther Puyol-Antón , Bram Ruijsink , Andrew King AI and Big Data in Cardiology, Springer International Publishing, pp.11-33, 2023, ⟨10.1007/978-3-031-05071-8_2⟩ Book sections hal-04212045v1
	Outcome Prediction Buntheng Ly , Mihaela Pop , Hubert Cochet , Nicolas Duchateau , Declan O’regan AI and Big Data in Cardiology : A Practical Guide, Springer International Publishing, pp.105-133, 2023, 978-3-031-05070-1. ⟨10.1007/978-3-031-05071-8_6⟩ Book sections hal-04212068v1
	Conclusions Andrew King , Nicolas Duchateau AI and Big Data in Cardiology, Springer International Publishing, pp.201-203, 2023, ⟨10.1007/978-3-031-05071-8_11⟩ Book sections hal-04212071v1
	Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction Bianca Freytag , Nicolas Duchateau , Lorena Petrusca , Jacques Ohayon , Pierre Croisille Functional Imaging and Modeling of the Heart, 13958, Springer Nature Switzerland, pp.678-687, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-35302-4_69⟩ Book sections hal-04445691v1
	From Machine Learning to Deep Learning Pierre-Marc Jodoin , Nicolas Duchateau , Christian Desrosiers AI and Big Data in Cardiology, Springer International Publishing, pp.35-56, 2023, ⟨10.1007/978-3-031-05071-8_3⟩ Book sections hal-04212050v1
	Diagnosis Daniel Rueckert , Moritz Knolle , Nicolas Duchateau , Reza Razavi , Georgios Kaissis AI and Big Data in Cardiology, Springer International Publishing, pp.85-103, 2023, ⟨10.1007/978-3-031-05071-8_5⟩ Book sections hal-04212059v1
	Machine learning and biophysical models: how to benefit each other? Nicolas Duchateau , Oscar Camara Reduced Order Models for the Biomechanics of Living Organs, Elsevier, pp.147-164, 2023, ⟨10.1016/B978-0-32-389967-3.00009-3⟩ Book sections hal-04212035v1
	Three-dimensional assessment of cardiac motion and deformation Nicolas Duchateau , Filip Loncaric , Marta Sitges , Bart Bijnens 3D echocardiography, 3rd edition, 2020 Book sections hal-02460177v1
	Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies? Nicolas Duchateau , Gemma Piella , Alejandro Frangi , Mathieu de Craene Guorong Wu; Dinggang Shen; Mert Sabuncu. Machine learning and medical imaging, 1st Edition, Elsevier, pp.365-382, 2016 Book sections hal-01352464v1
	Three-dimensional Assessment of Cardiac Motion and Deformation Nicolas Duchateau , Bart Bijnens , Jan d'Hooge , Marta Sitges T Shiota, ed. 3D echocardiography, 2nd edition, CRC press, pp.201-213, 2013, 9781841849935 Book sections hal-02320766v1

	Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-wise Attribution Maps P.-E Thiboud , V Wargnier-Dauchelle , M Lefort , N Duchateau , M Sdika 2024 Preprints, Working Papers, ... hal-04776927v2
	3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation Qiao Zheng , Hervé Delingette , Nicolas Duchateau , Nicholas Ayache 2018 Preprints, Working Papers, ... hal-01755317v1

	Atlas statistiques et apprentissage de représentations pour la caractérisation de la fonction cardiaque à l’échelle de populations Nicolas Duchateau Imagerie médicale. Université Claude Bernard Lyon 1, 2023 Accreditation to supervise research tel-04540429v1

Nicolas Duchateau

Publications

Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images

Hierarchical data integration with Gaussian processes: application to the characterization of cardiac ischemia-reperfusion patterns

Challenges for augmenting intelligence in cardiac imaging

AI-Based Strain Estimation in Echocardiography Using Open and Collaborative Data

Pixel-wise statistical analysis of myocardial injury in STEMI patients with delayed enhancement MRI

Echocardiography Segmentation with Enforced Temporal Consistency

Additional prognostic value of echocardiographic follow-up in pulmonary hypertension - role of 3D right ventricular area strain

Value of 3D right ventricular function over 2D assessment in acute pulmonary embolism

Characterizing interactions between cardiac shape and deformation by non-linear manifold learning

Direction-dependent decomposition of 3D right ventricular motion: beware of approximations

Right ventricular area strain from 3D echocardiography: mechanistic insight of right ventricular dysfunction in pediatric pulmonary hypertension

3D right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Machine learning approaches for myocardial motion and deformation analysis

Proposed Requirements for Cardiovascular Imaging Related Machine Learning Evaluation (PRIME) Checklist Reviewed by the American College of Cardiology Health Care Innovation Council

Proposed Requirements for Cardiovascular Imaging Related Machine Learning Evaluation (PRIME) Checklist

Variability in the assessment of myocardial strain patterns: Implications for adequate interpretation

Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge

Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

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

Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot

Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases

Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT

Characterization of myocardial motion patterns by unsupervised multiple kernel learning

Dyssynchronization reduces dynamic obstruction without affecting systolic function in patients with hypertrophic obstructive cardiomyopathy: a pilot study

Automatic model generation framework for computational simulation of cochlear implantation

Differential atrial performance at rest and exercise in athletes: Potential trigger for developing atrial dysfunction?

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

Inter-atrial dyssynchrony may contribute to heart failure symptoms in patients with preserved ejection fraction : a potential novel therapeutic target.

Left atrial dysfunction relates to symptom onset in patients with heart failure and preserved left ventricular ejection fraction

Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences

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

Myocardial motion and deformation patterns in an experimental swine model of acute LBBB/CRT and chronic infarct

Atrial functional and geometrical remodeling in highly trained male athletes: for better or worse?

Development of a Swine Model of Left Bundle Branch Block for Experimental Studies of Cardiac Resynchronization Therapy

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

Model generation of coronary artery bifurcations from CTA and single plane angiography

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

Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography

Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-Value for Understanding the Effect of Cardiac Resynchronization Therapy

Constrained manifold learning for the characterization of pathological deviations from normality

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

Apprentissage de représentation pour la quantification de biais dans l’analyse de populations: application à la comparaison du LGE conventionnel vs. synthétique avec TI optimal

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Fusion d'échocardiographie et de dossiers médicaux pour la caractérisation de l'hypertension

Développement d’une plateforme dédiée au contrôle de qualité, correction et suivi de données étiquetées pour la segmentation par apprentissage

AI-based comparison of conventional LGE & synthetic MagIR-LGE with optimal inversion-time: impact on population analysis?

Identification de modèles à l'échelle d'une population : application à l'infarctus du myocarde

A population-based approach to the simulation of realistic 3D myocardial infarction

Fusing echocardiography images and medical records for continuous patient stratification

Exploration of age-related hemodynamic and mechanical changes in the human thoracic aorta using an atlas based approach

Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction

Strainger things: discrete differential geometry for transporting right ventricular deformation across meshes

Effect of ASD closure on right ventricular function using 3D echocardiography

Segmentation de séquences échocardiographiques avec contraintes de cohérence temporelle

Which anatomical directions to quantify local right ventricular strain in 3D echocardiography?

Localizing cardiac dyssynchrony in M-mode echocardiography with attention maps

Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension

Exploration of age-related hemodynamic changes using an atlas based analysis of 4D flow MRI: a preliminary study

Reinforcement learning for active modality selection during diagnosis

Population-based personalization of geometric models of myocardial infarction

Hierarchical manifold learning for the interpretation of multi-level data -Application to cardiac imaging

Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling

Pixel-wise statistical analysis of lesion patterns: a fresh look at immediate vs. delayed stenting of the Minimalist Immediate Mechanical Intervention approach (MIMI) in acute STEMI

Characterizing myocardial ischemia and reperfusion patterns with hierarchical manifold learning

Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation

Velocity-based cardiac self-gating in free-running radial 4D Flow MRI

Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking

Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension

Learning interactions between cardiac shape and deformation: application to pulmonary hypertension

Domain adaptation via dimensionality reduction for the comparison of cardiac simulation models

Caractérisation statistique de l'infarctus du myocarde pour la personnalisation de modèles géométriques de lésions

Three dimensional right ventricular global and regional strain predict outcomes in pediatric pulmonary hypertension

Three dimensional right ventricular strain in pediatric pulmonary hypertension

6-month echocardiographic changes in pulmonary hypertension patients - Prognostic value of 3D area strain

Left Ventricular Shape and Motion Reconstruction through a Healthy Model for Characterizing Remodeling after Infarction