Nicolas Duchateau

80 papers B 1Journal 29Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning. IEEE J. Biomed. Health Informatics Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg, Jinyang Yu, Bjørnar Leangen Grenne, Frank Lindseth, Svend Aakhus, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard, Gabriel Kiss
2026	J	`jnl`	Sampling-guided exploration of active feature selection policies. CoRR Gabriel Bernardino, Anders Jonsson, Patrick Clarysse, Nicolas Duchateau
2025	J	`jnl`	Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis. Comput. Biol. Medicine Romain Deleat-Besson, Magalie Viallon, Lorena Petrusca, Pierre Croisille, Nicolas Duchateau
2025	—	`conf`	Controllable Latent Diffusion Model to Evaluate the Performance of Cardiac Segmentation Methods. MICCAI (2) Romain Deleat-Besson, Celia Goujat, Olivier Bernard, Pierre Croisille, Magalie Viallon, Nicolas Duchateau
2025	J	`jnl`	Copula-based mixture model identification for subgroup clustering with imaging applications. CoRR Fei Zheng, Nicolas Duchateau
2025	J	`jnl`	Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images. Pattern Recognit. Lett. Anastasia Konik, Patrick Clarysse, Nicolas Duchateau
2025	J	`jnl`	Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning. CoRR Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg, Jinyang Yu, Bjørnar Leangen Grenne, Frank Lindseth, Svend Aakhus, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard, Gabriel Kiss
2025	J	`jnl`	Hierarchical Data Integration With Gaussian Processes: Application to the Characterization of Cardiac Ischemia-Reperfusion Patterns. IEEE Trans. Medical Imaging Benoît Freiche, Gabriel Bernardino, Romain Deleat-Besson, Patrick Clarysse, Nicolas Duchateau
2025	J	`jnl`	High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations. CoRR Maxime Di Folco, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
2025	—	`conf`	Population-Based Personalization of a 2D Diffusion-Based Model of Myocardial Infarct. FIMH (2) Anastasia Konik, Romain Deleat-Besson, Patrick Clarysse, Nicolas Duchateau
2025	J	`jnl`	Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation. CoRR Arnaud Judge, Nicolas Duchateau, Thierry Judge, Roman A. Sandler, Joseph Z. Sokol, Christian Desrosiers, Olivier Bernard, Pierre-Marc Jodoin
2025	—	`conf`	Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. ISBI P.-E. Thiboud, Valentine Wargnier-Dauchelle, Mathieu Lefort, Nicolas Duchateau, Michaël Sdika
2024	—	`conf`	Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. MICCAI (9) Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin
2024	J	`jnl`	Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. CoRR Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin
2024	J	`jnl`	Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. CoRR Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard
2023	—	`book`	AI and Big Data in Cardiology: A Practical Guide AI and Big Data in Cardiology Nicolas Duchateau, Andrew P. King
2023	—	`ch.`	AI and Machine Learning: The Basics. AI and Big Data in Cardiology Nicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King
2023	—	`ch.`	Analysis of Non-imaging Data. AI and Big Data in Cardiology Nicolas Duchateau, Oscar Camara, Rafael Sebastián, Andrew P. King
2023	—	`conf`	Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction. FIMH Bianca Freytag, Nicolas Duchateau, Lorena Petrusca, Jacques Ohayon, Pierre Croisille, Patrick Clarysse
2023	—	`book`	Atlas statistiques et apprentissage de représentations pour la caractérisation de la fonction cardiaque à l'échelle de populations. Nicolas Duchateau
2023	—	`ch.`	Conclusions. AI and Big Data in Cardiology Andrew P. King, Nicolas Duchateau
2023	—	`ch.`	Diagnosis. AI and Big Data in Cardiology Daniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis
2023	—	`ch.`	From Machine Learning to Deep Learning. AI and Big Data in Cardiology Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers
2023	—	`ed.`	Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Lyon, France, June 19-22, 2023, Proceedings FIMH Olivier Bernard, Patrick Clarysse, Nicolas Duchateau, Jacques Ohayon, Magalie Viallon
2023	—	`ch.`	Introduction. AI and Big Data in Cardiology Andrew P. King, Nicolas Duchateau
2023	—	`conf`	Localizing Cardiac Dyssynchrony in M-mode Echocardiography with Attention Maps. FIMH Marta Saiz-Vivó, Isaac Capallera, Nicolas Duchateau, Gabriel Bernardino, Gemma Piella, Oscar Camara
2023	—	`ch.`	Outcome Prediction. AI and Big Data in Cardiology Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan P. O'Regan, Maxime Sermesant
2023	—	`conf`	Strainger Things: Discrete Differential Geometry for Transporting Right Ventricular Deformation Across Meshes. FIMH Gabriel Bernardino, Thomas Dargent, Oscar Camara, Nicolas Duchateau
2023	—	`conf`	Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? FIMH Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
2022	J	`jnl`	Characterizing interactions between cardiac shape and deformation by non-linear manifold learning. Medical Image Anal. Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
2022	J	`jnl`	Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. Medical Image Anal. Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
2022	J	`jnl`	Echocardiography Segmentation With Enforced Temporal Consistency. IEEE Trans. Medical Imaging Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin
2022	—	`conf`	Reinforcement Learning for Active Modality Selection During Diagnosis. MICCAI (1) Gabriel Bernardino, Anders Jonsson, Filip Loncaric, Pablo-Miki Martí Castellote, Marta Sitges, Patrick Clarysse, Nicolas Duchateau
2021	—	`conf`	Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. STACOM@MICCAI Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croisille, Nicolas Duchateau
2021	J	`jnl`	Echocardiography Segmentation with Enforced Temporal Consistency. CoRR Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin
2021	—	`conf`	Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling. STACOM@MICCAI Gabriel Bernardino, Patrick Clarysse, Álvaro Sepúlveda-Martínez, Merida Rodriguez-Lopez, Susanna Prat-Gonzàlez, Marta Sitges, Eduard Gratacós, Fátima Crispi, Nicolas Duchateau
2021	—	`conf`	Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. FIMH Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
2021	—	`conf`	Population-Based Personalization of Geometric Models of Myocardial Infarction. FIMH Kannara Mom, Patrick Clarysse, Nicolas Duchateau
2019	—	`conf`	Domain Adaptation via Dimensionality Reduction for the Comparison of Cardiac Simulation Models. FIMH Nicolas Duchateau, Kenny Rumindo, Patrick Clarysse
2019	—	`conf`	Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
2019	—	`conf`	Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction. FIMH Mathieu De Craene, Paolo Piro, Nicolas Duchateau, Pascal Allain, Eric Saloux
2018	J	`jnl`	3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation. IEEE Trans. Medical Imaging Qiao Zheng, Herve Delingette, Nicolas Duchateau, Nicholas Ayache
2018	J	`jnl`	3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
2018	J	`jnl`	3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
2018	J	`jnl`	Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. IEEE Trans. Medical Imaging Nicolas Duchateau, Maxime Sermesant, Herve Delingette, Nicholas Ayache
2018	—	`conf`	Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. ShapeMI@MICCAI Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec
2018	J	`jnl`	Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2017	J	`jnl`	Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Anal. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Bart H. Bijnens, Gemma Piella
2017	—	`conf`	Strain-Based Parameters for Infarct Localization: Evaluation via a Learning Algorithm on a Synthetic Database of Pathological Hearts. FIMH Gerardo Kenny Rumindo, Nicolas Duchateau, Pierre Croisille, Jacques Ohayon, Patrick Clarysse
2016	J	`jnl`	Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space. IEEE Trans. Medical Imaging Nicolas Duchateau, Mathieu De Craene, Pascal Allain, Eric Saloux, Maxime Sermesant
2016	—	`conf`	Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis. STACOM@MICCAI Stéphanie Marchesseau, Nicolas Duchateau, Hervé Delingette
2015	—	`conf`	Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction. FIMH Sergio Sanchez-Martinez, Nicolas Duchateau, Bart H. Bijnens, Tamás Erdei, Alan Fraser, Gemma Piella
2015	—	`conf`	Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. STACOM@MICCAI Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
2015	—	`conf`	Prediction of Infarct Localization from Myocardial Deformation. STACOM@MICCAI Nicolas Duchateau, Maxime Sermesant
2015	J	`jnl`	Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences. Medical Image Anal. Nicolas Duchateau, Geneviève Giraldeau, Luigi Gabrielli, Juan Fernandez-Armenta, Diego Penela, Reinder Evertz, Lluís Mont, Josep Brugada, Antonio Berruezo, Marta Sitges, Bart H. Bijnens
2015	—	`conf`	Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT. FIMH David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernandez-Armenta, Bart H. Bijnens, Antonio Berruezo, Marta Sitges, Oscar Camara
2015	—	`conf`	Virtual cochlear electrode insertion via parallel transport frame. ISBI Nicolas Duchateau, Nerea Mangado Lopez, Mario Ceresa, Pavel Mistrik, Sergio Vera, Miguel Ángel González Ballester
2014	J	`jnl`	Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Trans. Medical Imaging Antonio R. Porras, Martino Alessandrini, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Hervé Delingette, Maxime Sermesant, Jan D'hooge, Alejandro F. Frangi, Gemma Piella
2013	J	`jnl`	A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT. IEEE Trans. Medical Imaging Corné Hoogendoorn, Nicolas Duchateau, Damian Sánchez-Quintana, Tristan Whitmarsh, Federico Sukno, Mathieu De Craene, Karim Lekadir, Alejandro F. Frangi
2013	—	`conf`	Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold. GSI Nicolas Duchateau, Mathieu De Craene, Marta Sitges, Vicent Caselles
2013	—	`conf`	Analyzing Electrical Patterns in an Experimental Swine Model of Dyssynchrony and CRT. CinC David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernandez-Armenta, Antonio Berruezo, Marta Sitges, Oscar Camara
2013	—	`conf`	Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart phantom. Image-Guided Procedures Ali Pashaei, Gemma Piella, Xavier Planes, Nicolas Duchateau, Teresa María de Caralt, Marta Sitges, Alejandro F. Frangi
2013	—	`conf`	Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study. STACOM Ali Pashaei, Gemma Piella, Nicolas Duchateau, Luigi Gabrielli, Oscar Camara
2013	—	`conf`	Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes. FIMH Nicolas Duchateau, Gemma Piella, Adelina Doltra, Lluís Mont, Josep Brugada, Marta Sitges, Bart H. Bijnens, Mathieu De Craene
2013	—	`conf`	Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images. MICCAI (2) Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi, Gemma Piella
2013	J	`jnl`	Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical Biol. Eng. Comput. Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastián, Stéphanie Marchesseau, Oscar Camara, Erwan Donal, Mathieu De Craene, Ali Pashaei, Jatin Relan, M. Steghofer, Pablo Lamata, Hervé Delingette, Simon G. Duckett, Mireille Garreau, Alfredo Hernández, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas Smith, Alejandro F. Frangi
2012	J	`jnl`	Constrained manifold learning for the characterization of pathological deviations from normality. Medical Image Anal. Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi
2012	—	`conf`	SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification. ISBI Mathieu De Craene, Nicolas Duchateau, Catalina Tobon-Gomez, Babak Ghafaryasl, Gemma Piella, Kawal S. Rhode, Alejandro F. Frangi
2012	—	`—`	Statistical atlases of cardiac motion and deformation for the characterization of CRT responders. Nicolas Duchateau
2012	—	`conf`	Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing. STACOM Gemma Piella, Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Alejandro F. Frangi
2012	J	`jnl`	Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Anal. Mathieu De Craene, Gemma Piella, Oscar Camara, Nicolas Duchateau, Etelvino Silva, Adelina Doltra, Jan D'hooge, Josep Brugada, Marta Sitges, Alejandro F. Frangi
2012	—	`conf`	Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? STIA Nicolas Duchateau, Mathieu De Craene, Xavier Pennec, Beatriz Merino, Marta Sitges, Bart H. Bijnens
2011	J	`jnl`	A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities. Medical Image Anal. Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Etelvino Silva, Adelina Doltra, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi
2011	—	`conf`	Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. MICCAI (3) Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi
2011	—	`conf`	Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences. STACOM Mathieu De Craene, Catalina Tobon-Gomez, Constantine Butakoff, Nicolas Duchateau, Gemma Piella, Kawal S. Rhode, Alejandro F. Frangi
2010	B	`conf`	A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction. Image Processing Corné Hoogendoorn, Tristan Whitmarsh, Nicolas Duchateau, Federico M. Sukno, Mathieu De Craene, Alejandro F. Frangi
2010	—	`conf`	Atlas Construction and Image Analysis Using Statistical Cardiac Models. STACOM/CESC Mathieu De Craene, Federico Sukno, Catalina Tobon-Gomez, Constantine Butakoff, Rosa M. Figueras i Ventura, Corné Hoogendoorn, Gemma Piella, Nicolas Duchateau, Emma Muñoz-Moreno, Rafael Sebastián
2010	—	`conf`	Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome? STACOM/CESC Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Corné Hoogendoorn, Etelvino Silva, Adelina Doltra, Lluís Mont, Ma Angeles Castel, Josep Brugada, Marta Sitges
2010	—	`conf`	Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. MICCAI (2) Mathieu De Craene, Gemma Piella, Nicolas Duchateau, Etel Silva, Adelina Doltra, Hang Gao, Jan D'hooge, Oscar Camara, Josep Brugada, Marta Sitges
2009	—	`conf`	Septal Flash Assessment on CRT Candidates Based on Statistical Atlases of Motion. MICCAI (1) Nicolas Duchateau, Mathieu De Craene, Etel Silva, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi