Nicolas DUCHATEAU

Associate Professor, CREATIS lab - Université Lyon 1, France.

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Nicolas DUCHATEAU

Associate Professor, CREATIS lab - Université Lyon 1, France.

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Welcome !


I’m currently Associate Professor (Maître de Conférences) at the Université Lyon 1 and the CREATIS lab in Lyon, France.

My research focuses on the characterization of diseases from medical imaging populations, in particular for cardiac imaging. I also lead several initiatives to promote engineers-cardiologists interactions and boost the value of such tools for clinicians.

I am member of the French National Council of Universities / CNU section 61, and Junior Member of the Institut Universitaire de France / IUF.

Feel free to contact me if you need further information.




Research


On the methodological side, I develop new statistical and computational approaches to represent medical imaging populations, based on statistical atlases and machine learning. This also covers pre-processing (segmentation, tracking, and mesh/image registration) and validation (generation of synthetic databases).

On the applicative side, my work aims at better understanding disease apparition and evolution, for computer-aided diagnosis purposes. I focus on cardiac function and in particular 2D/3D myocardial shape and deformation, with widespread imaging modalities such as 2D/3D echocardiography and magnetic resonance.

Diffeo
Computational anatomy

Statistical atlases
Pattern statistics
Temporal evolution

Manifold
Representation learning

Manifold learning
Auto-encoders
Information fusion

Simu
Cardiac imaging

Myocardial function
Risk stratification
Data synthesis

Currently funded projects:

[MIC-MAC] Modeling hierarchy between cardiac descriptors with machine learning
ANR ANR

ANR Young Researchers
2019-2024 (48+6 months). Funding=251k€.

Involved people:

Duchateau N (PI), Clarysse P, Viallon M, Croisille P, Freiche B (PhD student), Bernardino G (postdoc).

Overview:

Unsupervised representation learning is suited for knowledge discovery and stratifying risk among medical populations, but faces complex data integration issues. The data descriptors are numerous, high-dimensional and of heterogeneous types, and their combination is not straightforward. MIC-MAC proposes to revisit the data integration approach, by better considering hierarchy (either existing or to be learnt) in the input imaging data. The project is centered on cardiac imaging applications, and plans the retrospective exploration of large existing imaging studies of heart failure patients, from widespread imaging protocols (magnetic resonance [with CHU St Etienne, France] and echocardiography [with Hospital Clínic Barcelona, Spain]).

[MI-MIX] Multi-parametric MRI data fusion for the characterization and follow-up of myocardial infarct
FFC FFC

FFC Allocation René Foudon
2020-2022 (36 months). Funding=139k€.

Involved people:

Duchateau N (PI), Clarysse P, Viallon M, Croisille P, Zheng F (postdoc).

Overview:

Cardiac imaging has a central role for myocardial infarct from diagnosis to patient management and follow-up after revascularization. Nonetheless, despite the abundance of available data, complex and essential information contained in the images are truncated or integrated in a subjective way. MI-MIX targets the analysis of multi-parametric cardiac imaging data by designing integrative tools to better understand the mechanisms of myocardial ischemia-reperfusion. It relies on computational atlases and statistical learning tools, with a strong aim at transferring them to the clinic via the design of dedicated software. The project plans the retrospective exploration of large existing magnetic resonance studies that include multi-parametric imaging of myocardial damages and regular follow-up (with CHU St Etienne, France).

Current team:

  • Elodie PIOT - MSc intern, 2022.
  • Romain DELEAT-BESSON - MSc intern, 2022.
  • Nathan PAINCHAUD - PhD student, since 2020.
  • Benoit FREICHE - PhD student, since 2019.

Alumni:

  • Fei ZHENG - postdoc, 2020-2022.
  • Gabriel BERNARDINO - postdoc, 2020-2022.
  • Maxime DI FOLCO - PhD student, 2018-2021.
  • Pamela MOCERI - PhD student, 2016-2018.
  • Sergio SANCHEZ MARTINEZ - PhD student, 2013-2018.

Publications


Online profile:




More in detail:

(click to expand a given item)
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Echocardiography segmentation with enforced temporal consistency.
Painchaud N, Duchateau N, Bernard O, Jodoin PM.
IEEE Transactions on Medical Imaging 2022. In press.

Characterizing interactions between cardiac shape and deformation by non-linear manifold learning.
Di Folco M, Moceri P, Clarysse P, Duchateau N.
Medical Image Analysis 2022;75:102278.

Additional prognostic value of echocardiographic follow-up in pulmonary hypertension - role of 3D right ventricular area strain.
Moceri P, Duchateau N, Baudouy D, Squara F, Bun SS, Ferrari E, Sermesant M.
European Heart Journal Cardiovascular Imaging 2021. In press.

Value of 3D right ventricular function over 2D assessment in acute pulmonary embolism.
Moceri P, Duchateau N, Sartre B, Baudouy D, Squara F, Sermesant M, Ferrari E.
Echocardiography 2021;38:1694-701.

Right ventricular area strain from 3D echocardiography: mechanistic insight of right ventricular dysfunction in pediatric pulmonary hypertension.
Jone PN, Duchateau N, Pan Z, Ivy DD, Moceri P.
Journal of Heart and Lung Transplantation 2021;40:138-48.

Three-dimensional right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading.
Moceri P, Duchateau N, Gillon S, Jaunay L, Baudouy D, Squara F, Ferrari E, Sermesant M.
European Heart Journal Cardiovascular Imaging 2021;22:1174-81.

Proposed requirements for cardiovascular imaging-related machine learning evaluation (PRIME): a checklist.
Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison G, Min JK, D’hooge J, Voigt JU, Dudley J, Verjans J, Shameer K, Johnson K, Løvstakken L, Tabassian M, Piccirilli M, Pernot M, Yanamala N, Duchateau N, Kagiyama N, Bernard O, Slomka P, Deo R, Arnaout R.
JACC Cardiovascular Imaging 2020;13:2017-35.

invited paper

Machine learning approaches for myocardial motion and deformation analysis.
Duchateau N, King A, De Craene M.
Frontiers in Cardiovascular Medicine 2020;6:190.

invited paper

Variability in the assessment of myocardial strain patterns: implications for adequate interpretation.
Duchateau N, Loncaric F, Cikes M, Doltra A, Sitges M, Bijnens B.
Ultrasound in Medicine and Biology 2020;46:244-54.

Machine-learning based phenogrouping in heart failure to identify responders to resynchronization therapy.
Cikes M, Sanchez-Martinez S, Claggett B, Duchateau N, Piella G, Butakoff C, Pouleur AC, Knappe D, Biering-Sørensen T, Kutyifa V, Moss A, Stein K, Solomon SD, Bijnens B.
European Journal of Heart Failure 2019;21:74-85.

associated editorial

3D consistent & robust segmentation of cardiac images by deep learning with spatial propagation.
Zheng Q, Delingette H, Duchateau N, Ayache N.
IEEE Transactions on Medical Imaging 2018;37:2137-48.

Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction.
Sanchez-Martinez S, Duchateau N, Erdei T, Kunszt G, Aakhus S, Degiovanni A, Marino P, Carluccio E, Piella G, Fraser AG, Bijnens BH.
Circulation Cardiovascular Imaging 2018;11:e007138.

associated editorial

Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension.
Moceri P, Duchateau N, Baudouy D, Schouver ED, Leroy S, Squara F, Ferrari E, Sermesant M.
European Heart Journal Cardiovascular Imaging 2018;19:450-8.

Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases.
Duchateau N, Sermesant M, Delingette H, Ayache N.
IEEE Transactions on Medical Imaging 2018;37:755-66.

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.
Suinesiaputra A, Ablin P, Alba X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D’hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Pennec X, Pereanez M, Pinto C, Piras P, Rohe MM, Rueckert D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P.
IEEE Journal of Biomedical and Health Informatics 2017;22:503-15.

associated challenge

Quantitative analysis of electro-anatomical maps: application to an experimental model of LBBB/CRT.
Soto-Iglesias D, Duchateau N, Butakoff C, Andreu D, Fernández-Armenta J, Bijnens B, Berruezo A, Sitges M, Camara O.
IEEE Journal of Translational Engineering in Health and Medicine 2017;5:1900215.

Characterization of myocardial motion patterns by unsupervised multiple kernel learning.
Sanchez-Martinez S, Duchateau N, Erdei T, Fraser A, Bijnens B, Piella G.
Medical Image Analysis 2017;35:70-82.

Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space.
Duchateau N, De Craene M, Allain P, Saloux E, Sermesant M.
IEEE Transactions on Medical Imaging 2016;35:2340-52.

Dyssynchronization reduces dynamic obstruction without affecting systolic function in patients with hypertrophic obstructive cardiomyopathy: a pilot study.
Giraldeau G, Duchateau N, Bijnens B, Gabrielli L, Penela D, Evertz R, Mont L, Brugada J, Berruezo A, Sitges M.
International Journal of Cardiovascular Imaging 2016;32:1179-88.

Automatic model generation framework for computational simulation of cochlear implantation.
Mangado N, Ceresa M, Duchateau N, Kjer HM, Vera S, Dejea H, Mistrik P, Paulsen RR, Fagertun J, Noailly J, Piella G, González Ballester MA.
Annals of Biomedical Engineering 2016;44:2453-63.

Differential atrial performance at rest and during exercise in highly trained athletes: a potential trigger for developing atrial dysfunction?
Gabrielli L, Bijnens B, Bambrila C, Duchateau N, Marin J, Sitges-Serra I, Mont L, Brugada J, Sitges M.
Scandinavian Journal of Medicine and Science in Sports 2016;26:1444-54.

Inter-atrial dyssynchrony may contribute to heart failure symptoms in patients with preserved ejection fraction.
Sanchis L, Vannini L, Gabrielli L, Duchateau N, Falces C, Andrea R, Bijnens BH, Sitges M.
Echocardiography 2015;32:1655-61.

Quantification of local changes in myocardial motion by diffeomorphic registration of currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences.
Duchateau N, Giraldeau G, Gabrielli L, Fernández-Armenta J, Penela D, Evertz R, Mont L, Brugada J, Berruezo A, Sitges M, Bijnens B.
Medical Image Analysis 2015;19:203-19.

Left atrial dysfunction relates to symptom onset in patients with heart failure and preserved left ventricular ejection fraction.
Sanchis L, Gabrielli L, Andrea R, Falces C, Duchateau N, Perez-Villa F, Bijnens BH, Sitges M.
European Heart Journal Cardiovascular Imaging 2015;16:62-7.

Improved myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images.
Porras AR, Alessandrini M, De Craene M, Duchateau N, Sitges M, Bijnens BH, Delingette H, Sermesant M, D’hooge J, Frangi AF, Piella G.
IEEE Transactions on Medical Imaging 2014;33:2098-106.

Myocardial motion and deformation patterns in an experimental swine model of acute LBBB/CRT and chronic infarct.
Duchateau N, Sitges M, Doltra A, Fernández-Armenta J, Solanes N, Rigol M, Gabrielli L, Silva E, Barceló A, Berruezo A, Mont L, Brugada J, Bijnens BH.
International Journal of Cardiovascular Imaging 2014;30:875-87.

Atrial functional and geometrical remodeling in male highly trained athletes: for better or worse?
Gabrielli L, Bijnens BH, Butakoff C, Duchateau N, Montserrat S, Merino B, Poyatos S, Gutierrez J, Paré C, Mont L, Brugada J, Sitges M.
European Journal of Applied Physiology 2014;114:1143-52.

Development of a swine model of left bundle branch block for experimental studies of cardiac resynchronization therapy.
Rigol M, Solanes N, Fernandez-Armenta J, Silva E, Doltra A, Duchateau N, Barcelo A, Gabrielli L, Bijnens BH, Berruezo A, Brugada J, Sitges M.
Journal of Cardiovascular Translational Research 2013;6:616-22.

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models.
Tobon-Gomez C, Duchateau N, Sebastian R, Marchesseau S, Camara O, Donal E, De Craene M, Pashaei A, Relan J, Steghofer M, Lamata P, Delingette H, Duckett S, Garreau M, Hernandez A, Rhode KS, Sermesant M, Ayache N, Leclercq C, Razavi R, Smith NP, Frangi AF.
Medical & Biological Engineering & Computing 2013;51:1235-50.

invited paper

associated editorial

A high-resolution atlas and statistical model of the human heart from multislice CT.
Hoogendoorn C, Duchateau N, Sánchez-Quintana D, Whitmarsh T, Sukno FM, De Craene M, Lekadir K, Frangi AF.
IEEE Transactions on Medical Imaging 2013;32:28-44.

Model generation of coronary artery bifurcations from CTA and single plane angiography.
Cárdenes R, Díez JL, Duchateau N, Pashaei A, Frangi AF.
Medical Physics 2013;40:013701-1-12.

Atlas-based quantification of myocardial motion abnormalities: added-value for understanding the effect of cardiac resynchronization therapy.
Duchateau N, Doltra A, Silva E, De Craene M, Piella G, Castel MA, Mont L, Brugada J, Frangi AF, Sitges M.
Ultrasound in Medicine and Biology 2012;38:2186-97.

Constrained manifold learning for the characterization of pathological deviations from normality.
Duchateau N, De Craene M, Piella G, Frangi AF.
Medical Image Analysis 2012;16:1532-49.

Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography.
De Craene M, Piella G, Camara O, Duchateau N, Silva E, Doltra A, D’hooge J, Brugada J, Sitges M, Frangi AF.
Medical Image Analysis 2012;16:427-50.

A spatiotemporal statistical atlas of motion for the quantification of abnormalities in myocardial tissue velocities.
Duchateau N, De Craene M, Piella G, Silva E, Doltra A, Sitges M, Bijnens BH, Frangi AF.
Medical Image Analysis 2011;15:316-28.

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Reinforcement learning for active modality selection during diagnosis.
Bernardino G, Jonsson A, Loncaric F, Martí Castellote PM, Sitges M, Clarysse P, Duchateau N.
Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 2022. In press.

oral

Characterizing myocardial ischemia and reperfusion patterns with hierarchical manifold learning.
Freiche B, Clarysse P, Viallon M, Croisille P, Duchateau N.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’21 Workshop, LNCS 2022;13131:66-74.

oral

Hierarchical multi-modality prediction model to assess obesity-related remodelling.
Bernardino G, Clarysse P, Sepúlveda-Martı́nez A, Rodrı́guez-López M, Prat-Gonzàlez S, Sitges M, Gratacós E, Crispi F, Duchateau N.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’21 Workshop, LNCS 2022;103-112.

poster

best poster presentation

Population-based personalization of geometric models of myocardial infarction.
Mom K, Clarysse P, Duchateau N.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2021;12738:3-11.

poster

Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation.
Di Folco M, Guigui N, Clarysse P, Moceri P, Duchateau N.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2021;12738:223-231.

oral

Learning interactions between cardiac shape and deformation: application to pulmonary hypertension.
Di Folco M, Clarysse P, Moceri P, Duchateau N.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’19 Workshop, LNCS 2020;12009:119-27.

oral

Domain adaptation via dimensionality reduction for the comparison of cardiac simulation models.
Duchateau N, Rumindo K, Clarysse P.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2019;11504:276-84.

oral

Left ventricular shape and motion reconstruction through a healthy model for characterizing remodeling after infarction.
De Craene M, Piro P, Duchateau N, Allain P, Saloux E.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2019;11504:159-67.

oral

Parallel transport of surface deformations from pole ladder to symmetrical extension.
Jia S, Duchateau N, Moceri P, Sermesant M, Pennec X.
Proc. Shape in Medical Imaging (ShapeMI), MICCAI’18 Workshop LNCS 2018;11167:116-24.

oral

Strain-based parameters for infarct localization: evaluation via a learning algorithm on a synthetic database of pathological hearts.
Rumindo GK, Duchateau N, Croisille P, Ohayon J, Clarysse P.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2017;10263:106-14.

oral

Segmentation and registration coupling from short-axis Cine MRI: application to infarct diagnosis.
Marchesseau S, Duchateau N, Delingette H.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’16 Workshop, LNCS 2017;10124:48-56.

poster

Combination of polyaffine transformations and supervised learning for the automatic diagnosis of LV infarct.
Rohé MM, Duchateau N, Sermesant M, Pennec X.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’15 Workshop, LNCS 2016;9534:190-8.

poster

Prediction of infarct localization from myocardial deformation.
Duchateau N, Sermesant M.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’15 Workshop, LNCS 2016;9534:51-9.

poster

Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT.
Soto-Iglesias D, Duchateau N, Butakoff C, Andreu D, Fernandez-Armenta J, Bijnens B, Berruezo A, Sitges M, Camara O.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2015;9126:74-82.

oral

Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction.
Sanchez-Martinez S, Duchateau N, Bijnens B, Erdei T, Fraser A, Piella G.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2015;9126:65-73.

oral

Virtual cochlear electrode insertion via parallel transport frame.
Duchateau N, Mangado N, Ceresa M, Mistrik P, Vera S, González-Ballester MA.
Proc. International Symposium on Biomedical Imaging (ISBI) 2015;1398-401.

poster

Image-based estimation of myocardial acceleration using TDFFD: a phantom study.
Pashaei A, Piella G, Duchateau N, Gabrielli L, Camara O.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’13 Workshop, LNCS 2013;8330:262-70.

poster

Analyzing electrical patterns in an experimental swine model of dyssynchrony and CRT.
Soto-Iglesias D, Duchateau N, Butakoff C, Andreu D, Fernández-Armenta J, Berruezo A, Sitges M, Camara O.
Proc. Computing in Cardiology (CinC) 2013;40:623-6.

oral

Myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images.
Porras AR, De Craene M, Duchateau N, Sitges M, Bijnens BH, Frangi AF, Piella G.
Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 2013;8150:484-91.

poster

Adaptation of multiscale function extension to inexact matching. Application to the mapping of individuals to a learnt manifold.
Duchateau N, De Craene M, Sitges M, Caselles V.
Proc. SEE International Conference on Geometric Science of Information (GSI), LNCS 2013;8085:578-86.

oral

Manifold learning characterization of abnormal myocardial motion patterns: application to CRT-induced changes.
Duchateau N, Piella G, Doltra A, Mont L, Bijnens BH, Sitges M, De Craene M.
Proc. International Conference on Functional Imaging and Modeling of the Heart (FIMH), LNCS 2013;7945:450-7.

oral

Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart phantom.
Pashaei A, Piella G, Planes X, Duchateau N, de Caralt TM, Sitges M, Frangi AF.
Proc. SPIE Conference on Medical Imaging 2013;86710U.

oral

Which reorientation framework for the atlas-based comparison of motion from cardiac image sequences?
Duchateau N, De Craene M, Pennec X, Merino B, Sitges M, Bijnens BH.
Proc. Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA), MICCAI’12 Workshop, LNCS 2012;7570:25-37.

poster

Temporal diffeomorphic Free Form Deformation to quantify changes induced by left and right bundle branch block and pacing.
Piella G, Porras AR, De Craene M, Duchateau N, Frangi AF.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’12 Workshop, LNCS 2013;7746:134-41.

oral

Construction of a statistical atlas of the whole heart from a large 4D CT database.
Lekadir K, Hoogendoorn C, Duchateau N, Frangi A. Missing authors: Sánchez-Quintana D, Whitmarsh T, Sukno FM, De Craene M.
Proc. Computing in Cardiology (CinC) 2012;39:541-5.

poster

SPM to the heart: mapping of 4D continuous velocities for motion abnormality quantification.
De Craene M, Duchateau N, Tobon-Gomez C, Ghafaryasl B, Piella G, Rhode KS, Frangi AF.
Proc. International Symposium on Biomedical Imaging (ISBI) 2012;454-7.

oral

Characterizing pathological deviations from normality using constrained manifold-learning.
Duchateau N, De Craene M, Piella G, Frangi AF.
Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 2011;6893:256-63.

poster

Temporal diffeomorphic Free Form Deformation (TDFFD) applied to motion and deformation quantification of tagged MRI sequences.
De Craene M, Tobon-Gomez C, Butakoff C, Duchateau N, Piella G, Rhode KS, Frangi AF.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’11 Workshop, LNCS 2012;7085:68-77.

oral

Temporal diffeomorphic free-form deformation for strain quantification in 3D-US images.
De Craene M, Piella G, Duchateau N, Silva E, Doltra A, Gao H, D’hooge J, Camara O, Sitges M, Frangi AF.
Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 2010;6362:1-8.

poster

Atlas-based quantification of myocardial motion abnormalities: added-value for the understanding of CRT outcome?
Duchateau N, De Craene M, Piella G, Hoogendoorn C, Silva E, Doltra A, Mont L, Castel MA, Brugada J, Sitges M, Frangi AF.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’10 Workshop, LNCS 2010;6364:65-74.

oral

Atlas construction and image analysis using statistical cardiac models.
De Craene M, Sukno FM, Tobon-Gomez C, Butakoff C, Figueras i Ventura RM, Hoogendoorn C, Piella G, Duchateau N, Muñoz-Moreno E, Sebastián R, Camara O, Frangi AF.
Proc. Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI’10 Workshop, LNCS 2010;6364:1-13.

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invited talk

A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction.
Hoogendoorn C, Whitmarsh T, Duchateau N, Sukno FM, De Craene M, Frangi AF.
Proc. SPIE Conference on Medical Imaging 2010;76231R.

poster

Septal flash assessment on CRT candidates based on statistical atlases of motion.
Duchateau N, De Craene M, Silva E, Sitges M, Bijnens BH, Frangi AF.
Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 2009;5762:759–66.

poster

Optimisation of beam parameters and iodine quantification in Dual-Energy Contrast-Enhanced Digital Breast Tomosynthesis.
Puong S, Bouchevreau X, Duchateau N, Iordache R, Muller S.
Proc. SPIE Conference on Medical Imaging 2008;69130Z.

oral

Assessment of laser-dazzling effects on TV-cameras by means of pattern recognition algorithms.
Durécu A, Vasseur O, Bourdon P, Eberle B, Bürsing H, Dellinger J, Duchateau N.
Proc. SPIE Conference on Technologies for Optical Countermeasures 2007;67380J.

oral

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Exploration of age-related hemodynamic changes using an atlas based analysis of 4D flow MRI: a preliminary study.
Piot E, Duchateau N, Douek P, Boccalini S, Sigovan M.
Society for Magnetic Resonance Angiography (SMRA) congress 2022.

poster

Hierarchical manifold learning for the interpretation of multi-level data - Application to cardiac imaging.
Freiche B, Clarysse P, Viallon M, Croisille P, Duchateau N.
Medical Image Analysis and Artificial Intelligence (MAI), Sino-French workshop 2021.

oral

Velocity-based cardiac self-gating in free-running radial 4D flow MRI.
Sigovan M, Duchateau N, Douek P, Prieto C, Boussel L.
Society for Magnetic Resonance Angiography (SMRA) congress 2021.

oral

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.
Duchateau N, Viallon M, Petrusca L, Clarysse P, Belle L, Croisille P.
Society for Cardiovascular Magnetic Resonance (SCMR) congress 2021.

poster

Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking.
Moceri P, Duchateau N, Dursent N, Iriart X, Hascoet S, Baudouy D, Ferrari E, Sermesant M.
Archives of Cardiovascular Diseases Supplements, Abstracts from the Journées Européennes de la Société Française de Cardiologie (JESFC) 2020;12:163-4.

oral

Three dimensional right ventricular global and regional strain predict outcomes in pediatric pulmonary hypertension.
Jone PN, Duchateau N, Pan Z, Ivy D, Moceri P.
JASE: Abstracts from the ASE Scientific Sessions 2019;32(6):B24.

poster

Caractérisation statistique de l’infarctus du myocarde pour la personnalisation de modèles géométriques de lésions.
Di Folco M, Duchateau N, Viallon M, Croisille P, Clarysse P.
Congrès National d’Imagerie du Vivant (CNIV) 2019.

oral

Three dimensional right ventricular strain in pediatric pulmonary hypertension.
Jone PN, Duchateau N, Pan Z, Ivy D, Moceri P.
JACC: Abstracts from the American College of Cardiology’s Scientific Session 2019;73(9S1):1910.

poster

Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension.
Moceri P, Duchateau N, Baudouy D, Sanfiorenzo C, Squara F, Ferrari E, Sermesant M.
Archives of Cardiovascular Diseases Supplements, Abstracts from the Journées Européennes de la Société Française de Cardiologie (JESFC) 2019;11:48.

oral

6-month echocardiographic changes in pulmonary hypertension patients - Prognostic value of 3D area strain.
Moceri P, Duchateau N, Baudouy D, Poulard A, Sanfiorenzo C, Squara F, Ferrari E, Sermesant M.
Archives of Cardiovascular Diseases Supplements, Abstracts from the Journées Européennes de la Société Française de Cardiologie (JESFC) 2019;11:e327.

poster

3D right ventricular strain and shape in volume overload: comparative analysis of Tetralogy of Fallot and atrial septal defect patients.
Moceri P, Duchateau N, Baudouy D, Squara F, Ferrari E, Sermesant M.
Archives of Cardiovascular Diseases Supplements, Abstracts from the Journées Européennes de la Société Française de Cardiologie (JESFC) 2019;11:128-9.

oral

Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking.
Moceri P, Duchateau N, Dursent N, Iriart X, Hascoet S, Baudouy D, Ferrari E, Sermesant M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2018;20(S1):i1088.

poster

Right ventricular function in acute pulmonary embolism: a three-dimensional strain study.
Moceri P, Duchateau N, Sartre B, Sermesant M, Ferrari E.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2018;20(S1):i1285.

poster

high score abstract

Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients.
Moceri P, Duchateau N, Baudouy D, Squara F, Ferrari E, Sermesant M.
European Heart Journal, Abstracts from the ESC Congress 2018;39(S1):366-7.

poster

Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension.
Moceri P, Duchateau N, Baudouy D, Sanfiorenzo C, Squara F, Ferrari E, Sermesant M.
European Heart Journal, Abstracts from the ESC Congress 2018;39(S1):966.

poster

Machine‐learning analysis of myocardial deformation patterns to predict incident heart failure or death in the general population.
Sanchez S, Cikes M, Claggett B, Duchateau N, Piella G, Cheng S, Shah A, Bijnens B, Solomon S.
European Heart Journal, Abstracts from the ESC Congress 2018;39(S1):225.

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Personalization of synthetic pathological left ventricles using learning-based infarct localization and finite-element inverse modelling.
Rumindo GK, Duchateau N, Ohayon J, Croisille P, Clarysse.
World Congress of Biomechanics 2018.

poster

Inter-operator variability of shapes and strain patterns: insights from a myocardial strain course.
Duchateau N, Cikes M, Doltra A, Sitges M, Bijnens B.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2017;18(S3);iii2.

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rapid fire abstract

3D right ventricular strain: comparative analysis of Tetralogy of Fallot and atrial septal defect.
Moceri P, Sermesant M, Baudouy D, Ferrari E, Duchateau N.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2017;18(S3);iii136.

poster

Generation of a synthetic database of heart models to evaluate strain-based infarct detection algorithms.
Rumindo GK, Duchateau N, Viallon M, Croisille P, Ohayon J, Clarysse P.
RITS conference (Recherche en Imagerie et Technologies pour la Santé) 2017.

poster

Machine-learning based exploration of variability of longitudinal myocardial velocities in heart failure with preserved ejection fraction.
Sanchez S, Duchateau N, Erdei T, Kunszt G, Degiovanni A, Carluccio E, Fraser A, Piella G, Bijnens B.
European Journal of Heart Failure, Abstracts from the Heart Failure congress 2017;19(S1):i502-3.

poster

Three-dimensional speckle tracking of the right ventricle : implications on survival.
Moceri P, Duchateau N, Baudouy D, Schouver ED, Bouvier P, Leroy S, Cerboni P, Gibelin P, Sermesant M, Ferrari E.
Archives of Cardiovascular Diseases Supplements, Abstracts from the Journées Européennes de la Société Française de Cardiologie (JESFC) 2017;9:56-7.

poster

Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space.
Duchateau N, De Craene M, Allain P, Saloux E, Sermesant M.
GRIC @Journées Francophones de Radiologie: “Approches computationnelles et imagerie cardiaque” 2016.

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Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines?
Sanchez S, Duchateau N, Erdei T, Kunszt G, Degiovanni A, Carluccio E, Fraser A, Piella G, Bijnens B.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2016;17(S2):ii241.

poster

Three-dimensional speckle tracking of the right ventricle : implications on survival in pulmonary hypertension.
Moceri P, Duchateau N, Baudouy D, Leroy S, Bouvier P, Schouver D, Sermesant M, Ferrari E.
European Heart Journal, Abstracts from the ESC Congress 2016;37(S1):994.

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Can machine learning help to identify heart failure with preserved ejection fraction?
Sanchez S, Duchateau N, Erdei T, Fraser A, Bijnens B, Piella G.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2015;16(S2):ii38-9.

poster

highlighted abstract

Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction.
Sanchez S, Duchateau N, Erdei T, Fraser A, Piella G, Bijnens B.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2015;16(S2):ii234.

poster

Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction.
Duchateau N, De Craene M, Legallois D, Labombarda F, Pellissier A, Sermesant M, Saloux E.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2015;16(S2):ii81.

poster

3D regional right ventricular function in pulmonary hypertension.
Duchateau N, Sermesant M, Gibelin P, Ferrari E, Moceri P.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2015;16(S2):ii69.

moderated poster

Automatic generation of a computational model for monopolar stimulation of cochlear implants.
Mangado N, Ceresa M, Duchateau N, Dejea H, Kjer HM, Paulsen R, Vera S, Mistrik P, Herrero J, González-Ballester MA.
Proc. Computer Assisted Radiology and Surgery (CARS), International Journal of Computer Assisted Radiology and Surgery 2015;10:S67-8.

Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants.
Mangado N, Duchateau N, Ceresa M, Martin H, Vera S, Mistrik P, Herrero J, González-Ballester MA.
Proc. Computer Assisted Radiology and Surgery (CARS), International Journal of Computer Assisted Radiology and Surgery 2015;10:S102-3.

Valor pronostico de la disfunción auricular izquierda en pacientes con debut ambulatorio de insuficiencia cardiaca.
Sanchis, L, Gabrielli, L, Andrea R, Falces C, Duchateau N, Perez-Villa F, Bijnens B, Sitges M.
Revista Española de Cardiología, Abstracts from the SEC Congress 2014;67:561.

poster

Quantitative analysis of CRT leads position against activation time recovery in an experimental swine model.
Soto-Iglesias D, Duchateau N, Butakoff C, Andreu D, Fernández-Armenta J, Bijnens B, Sitges M, Camara O, Berruezo A.
European Heart Journal, Abstracts from the ESC Congress 2014;35(S1):85.

poster

A novel tool for the quantification of local temporal delays in myocardial motion: application to hypertrophic obstructive cardiomyopathy with biventricular pacing.
Duchateau N, Giraldeau G, Gabrielli L, Penela D, Evertz R, Mont L, Brugada J, Berruezo A, Bijnens BH, Sitges M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2013;14(S2):ii168-9.

poster

Spatiotemporal analysis of changes in myocardial motion patterns: application to patients with hypertrophic obstructive cardiomyopathy treated with biventricular pacing.
Duchateau N, Giraldeau G, Gabrielli L, Penela D, Evertz R, Mont L, Brugada J, Berruezo A, Bijnens BH, Sitges M.
European Heart Journal: Cardiovascular Imaging, Abstracts from EuroEcho Congress 2013;14(S2):ii90-1. High score abstract.

poster

high score abstract

Desynchronization effectively reduces left ventricular outflowtract obstruction without affecting systolic function in patients with hypertrophicobstructive cardiomyopathy.
Giraldeau G, Duchateau N, Gabrielli L, Penela D, Evertz R, Mont L, Brugada J, Berruezo A, Bijnens BH, Sitges M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2013;14(S2):ii231.

poster

Left atrium dysfunction in heart failure with preserved ejection fraction as initial mechanism in symptoms onset.
Sanchis L, Gabrielli L, Andrea R, Falces C, Duchateau N, Perez-Villa F, Bijnens B, Sitges M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2013;14(S2):ii233.

poster

Disincronía interauricular: un mecanismo novedoso en pacientes con insuficiencia cardiaca con fracción de eyección preservada.
Vannini L, Gabrielli L, Bijnens BH, Sanchis L, Duchateau N, Andrea R, Falces C, Sitges M.
Revista Española de Cardiología, Abstracts from the SEC Congress 2013;66:39.

oral

Disfunción auricular en la insuficiencia cardiaca con fracción de eyección preservada: papel en el inicio de los síntomas.
Sanchis L, Gabrielli L, Andrea R, Falces C, Duchateau N, Perez-Villa F, Bijnens BH, Sitges M.
Revista Española de Cardiología, Abstracts from the SEC Congress 2013;66:975.

poster

Inter-atrial dyssynchrony contributes to heart failure symptoms in patients with preserved ejection fraction: a potential novel therapeutic target.
Vannini L, Gabrielli L, Bijnens BH, Sanchis L, Duchateau N, Andrea R, Falces C, Morales M, Sitges M.
European Heart Journal, Abstracts from the ESC Congress 2013;34(S1):449.

poster

Quantification of changes in motion induced by CRT using a novel pattern-analysis technique.
Duchateau N, Piella G, Doltra A, Silva E, Frangi AF, Brugada J, Mont L, Sitges M, De Craene M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2012;13(S1):i166-7. High score abstract.

moderated poster

high score abstract

Spatiotemporal analysis of myocardial motion to detect disease specific patterns: application to LBBB and CRT in an experimental swine model.
Duchateau N, Bijnens BH, Doltra A, Gabrielli L, Fernandez-Armenta J, Silva E, Rigol M, Solanes N, Barcelo A, Sitges M.
European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho Congress 2012;13(S1):i167. High score abstract.

moderated poster

high score abstract

Characterizing pathological deviations from normality using constrained manifold-learning.
Duchateau N, De Craene M, Piella G, Frangi AF.
Medical Image Computing in Catalunya (MICCAT): Graduate Student Workshop, Barcelona (ES) 2011.

poster

Added value of a statistical atlas-based quantification of motion abnormalities for the prediction of CRT response.
Duchateau N, Doltra A, Silva E, De Craene M, Piella G, Mont L, Castel MA, Brugada J, Sitges M, Frangi AF.
European Journal of Echocardiography, Abstracts from the EuroEcho congress 2010;11(S2):ii80. Young Investigators Award.

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young investigator award

highlighted abstract

Quantification of septal motion abnormalities in CRT candidates using a statistical atlas based-approach.
Duchateau N, De Craene M, Piella G, Silva E, Doltra A, Sitges M, Bijnens BH, Frangi AF.
European Heart Journal, Abstracts from ESC Congress 2010;31(S1):875-6.

oral

Atlas-based vs visual detection of myocardial motion abnormalities for the prediction of CRT response.
Duchateau N, Doltra A, Silva E, De Craene M, Piella G, Mont L, Castel MA, Brugada J, Sitges M, Frangi AF.
Medical Image Computing in Catalunya (MICCAT): Graduate Student Workshop, Girona (ES) 2010.

oral

Validation of a virtual coiling technique based on a CFD Bolus injection.
Morales H, Larrabide I, Villa-Uriol MC, Geers AJ, Duchateau N, Frangi AF.
Medical Image Computing in Catalunya (MICCAT): Graduate Student Workshop, Girona (ES) 2010.

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×
Book:

AI and Big Data in cardiology: a practical guide.
Duchateau N, King A, eds.
Springer, 2022. In press.

Including the following chapters:

Conclusion.
King A, Duchateau N.

Analysis of non-imaging data.
Duchateau N, Camara O, Sebastian R, King A.

Outcome prediction.
Ly B, Pop M, Cochet H, Duchateau N, O’Regan D, Sermesant M.

Diagnosis.
Rueckert D, Knolle M, Duchateau N, Razavi R, Kaissis G.

From machine learning to deep learning.
Jodoin PM, Duchateau N, Desrosiers C.

AI and machine learning: the basics.
Duchateau N, Puyol-Antón E, Ruijsink B, King A.

Introduction.
King A, Duchateau N.

Other book chapters:

Three-dimensional assessment of cardiac motion and deformation.
Duchateau N, Loncaric F, Sitges M, Bijnens B.
In: Shiota T, ed. 3D echocardiography, 3rd edition. CRC press, 2020;215:22.

Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?
Duchateau N, Piella G, Frangi A, De Craene M.
In: Wu G, Shen D, & Sabuncu M, eds. Machine learning and medical imaging. Elsevier, 2016;365-82.

3D assessment of cardiac motion and deformation.
Duchateau N, Bijnens BH, D’hooge J, Sitges M.
In: Shiota T, ed. 3D echocardiography, 2nd edition. CRC press, 2013;201-13.

Letters:

Direction-dependent decomposition of 3D right ventricular motion: beware of approximations.
Duchateau N, Moceri P, Sermesant, M.
Journal of the American Society of Echocardiography 2021;34:201-3.

Letter regarding the article “Additive prognostic value of left ventricular systolic dysfunction in a population-based cohort” from Kuznetsova et al.
Duchateau N, Bijnens B.
Circulation Cardiovascular Imaging 2016.

Clinical cases:

Right ventricular function evolution with pregnancy in repaired Tetralogy of Fallot.
Moceri P, Sermesant M, Baudouy D, Ferrari E, Duchateau N.
Canadian Journal of Cardiology 2018;34:1369.e9-e11.

Other:

“How to read this”: cardiac segmentation with AI.
Duchateau N, Bernard O.
ESC Digital Health Virtual Journal 2020.

Remodelado auricular adverso en atletas de alto rendimiento: Estudio de deformación auricular con speckle tracking 2D.
Gabrielli L, Montserrat S, Bijnens BH, Brambila C, Duchateau N, Merino B, Gutierrez J, Mont L, Vidal B, Azqueta M, Paré C, Brugada J, Sitges M.
Revista Chilena de Cardiología 2012;31:176-83.

Thesis:

Statistical atlases of cardiac motion and deformation for the characterization of CRT responders.
Duchateau N.
Universitat Pompeu Fabra, Barcelona, Spain, 2012.

Theses from my PhD students:

Statistical learning of interactions between cardiac shape and deformation.
Di Folco M. Co-supervised with Clarysse P.
INSA Lyon, France, 2021.

From normal right ventricle to pathology: shape and function analysis with different loading conditions using imaging and modelling.
Moceri P. Co-supervised with Sermesant M.
Université Côte d'Azur, France, 2018.

Multi-feature machine learning analysis for an improved characterization of the cardiac mechanics.
Sanchez S. Co-supervised with Piella G & Bijnens B.
Universitat Pompeu Fabra, Spain, 2018.

Some recent talks:

Representation learning and fusion of multi-modal data for the statistical analysis of medical imaging populations.
Journée du GDR ISIS – Apprentissage automatique multimodal et fusion d'informations (2nd edition), virtual event (France), 2022.

Basics of machine learning: unsupervised.
Deep learning for medical imaging summer school, Lyon (France), 2019.

Machine learning in cardiology: why do we need realistic synthetic databases?
Cardiofunxion winter school, Lyon (France), 2018.

Current job offers


Please also check the complementary Phd/postdoc and MSc offers at our lab.

Contact Me


CREATIS, INSA Bâtiment Léonard de Vinci - 21, Avenue J. Capelle - 69621 Villeurbanne Cedex, France.

Phone: +33.472437147

Email: nicolas.duchateau [at] creatis.insa-lyon.fr