Septal Flash Assessment on CRT Candidates Based on Statistical Atlases of Motion. - Nicolas Duchateau; Mathieu De Craene; Etel Silva; Marta Sitges; Bart H. Bijnens; Alejandro F. Frangi (MICCAI (1), 2009)

Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. - Mathieu De Craene; Gemma Piella; Nicolas Duchateau; Etel Silva; Adelina Doltra; Hang Gao 002; Jan D'hooge; Oscar Camara 001; Josep Brugada; Marta Sitges (MICCAI (2), 2010)

Atlas Construction and Image Analysis Using Statistical Cardiac Models. - 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 (STACOM/CESC, 2010)

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; Adelina Doltra; Lluís Mont; Ma Angeles Castel; Josep Brugada; Marta Sitges (STACOM/CESC, 2010)

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; Alejandro F. Frangi (Image Processing, 2010)

Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences. - Mathieu De Craene; Catalina Tobon-Gomez; Constantine Butakoff; Nicolas Duchateau; Gemma Piella; Kawal S. Rhode; Alejandro F. Frangi (STACOM, 2011)

Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. - Nicolas Duchateau; Mathieu De Craene; Gemma Piella; Alejandro F. Frangi (MICCAI (3), 2011)

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; Marta Sitges; Bart H. Bijnens; Alejandro F. Frangi (Medical Image Anal., 2011)

SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification. - Mathieu De Craene; Nicolas Duchateau; Catalina Tobon-Gomez; Babak Ghafaryasl; Gemma Piella; Kawal S. Rhode; Alejandro F. Frangi (ISBI, 2012)

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; Bart H. Bijnens (STIA, 2012)

Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing. - Gemma Piella; Antonio R. Porras; Mathieu De Craene; Nicolas Duchateau; Alejandro F. Frangi (STACOM, 2012)

Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. - Mathieu De Craene; Gemma Piella; Oscar Camara 001; Nicolas Duchateau; Etelvino Silva; Adelina Doltra; Jan D'hooge; Josep Brugada; Marta Sitges; Alejandro F. Frangi (Medical Image Anal., 2012)

Constrained manifold learning for the characterization of pathological deviations from normality. - Nicolas Duchateau; Mathieu De Craene; Gemma Piella; Alejandro F. Frangi (Medical Image Anal., 2012)

Statistical atlases of cardiac motion and deformation for the characterization of CRT responders. - Nicolas Duchateau (2012)

Analyzing Electrical Patterns in an Experimental Swine Model of Dyssynchrony and CRT. - David Soto-Iglesias; Nicolas Duchateau; Constantine Butakoff; David Andreu 001; Juan Fernandez-Armenta; Antonio Berruezo; Marta Sitges; Oscar Camara 001 (CinC, 2013)

Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes. - Nicolas Duchateau; Gemma Piella; Adelina Doltra; Lluís Mont; Josep Brugada; Marta Sitges; Bart H. Bijnens; Mathieu De Craene (FIMH, 2013)

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 (GSI, 2013)

Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study. - Ali Pashaei; Gemma Piella; Nicolas Duchateau; Luigi Gabrielli; Oscar Camara 001 (STACOM, 2013)

Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images. - Antonio R. Porras; Mathieu De Craene; Nicolas Duchateau; Marta Sitges; Bart H. Bijnens; Alejandro F. Frangi; Gemma Piella (MICCAI (2), 2013)

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; Marta Sitges; Alejandro F. Frangi (Image-Guided Procedures, 2013)

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. - Catalina Tobon-Gomez; Nicolas Duchateau; Rafael Sebastián; Stéphanie Marchesseau; Oscar Camara 001; Erwan Donal; Mathieu De Craene; Ali Pashaei; Jatin Relan; M. Steghofer; Pablo Lamata; Hervé Delingette; et al. (Medical Biol. Eng. Comput., 2013)

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT. - Corné Hoogendoorn; Nicolas Duchateau; Damian Sánchez-Quintana; Tristan Whitmarsh; Federico Sukno; Mathieu De Craene; Karim Lekadir; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2013)

Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. - 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 (IEEE Trans. Medical Imaging, 2014)

Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction. - Sergio Sanchez-Martinez; Nicolas Duchateau; Bart H. Bijnens; Tamás Erdei; Alan Fraser; Gemma Piella (FIMH, 2015)

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 001; Juan Fernandez-Armenta; Bart H. Bijnens; Antonio Berruezo; Marta Sitges; Oscar Camara 001 (FIMH, 2015)

Virtual cochlear electrode insertion via parallel transport frame. - Nicolas Duchateau; Nerea Mangado Lopez; Mario Ceresa; Pavel Mistrik; Sergio Vera; Miguel Ángel González Ballester (ISBI, 2015)

Prediction of Infarct Localization from Myocardial Deformation. - Nicolas Duchateau; Maxime Sermesant (STACOM@MICCAI, 2015)

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. - Marc-Michel Rohé; Nicolas Duchateau; Maxime Sermesant; Xavier Pennec (STACOM@MICCAI, 2015)

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 Fernandez-Armenta; Diego Penela; Reinder Evertz; Lluís Mont; Josep Brugada; Antonio Berruezo; Marta Sitges; Bart H. Bijnens (Medical Image Anal., 2015)

Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis. - Stéphanie Marchesseau; Nicolas Duchateau; Hervé Delingette (STACOM@MICCAI, 2016)

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 Trans. Medical Imaging, 2016)

Strain-Based Parameters for Infarct Localization: Evaluation via a Learning Algorithm on a Synthetic Database of Pathological Hearts. - Gerardo Kenny Rumindo; Nicolas Duchateau; Pierre Croisille; Jacques Ohayon; Patrick Clarysse (FIMH, 2017)

Characterization of myocardial motion patterns by unsupervised multiple kernel learning. - Sergio Sanchez-Martinez; Nicolas Duchateau; Tamás Erdei; Alan Fraser; Bart H. Bijnens; Gemma Piella (Medical Image Anal., 2017)

Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. - Shuman Jia; Nicolas Duchateau; Pamela Moceri; Maxime Sermesant; Xavier Pennec (ShapeMI@MICCAI, 2018)

3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. - Qiao Zheng; Hervé Delingette; Nicolas Duchateau; Nicholas Ayache (CoRR, 2018)

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. - Qiao Zheng; Hervé Delingette; Nicolas Duchateau; Nicholas Ayache (CoRR, 2018)

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. - 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; et al. (IEEE J. Biomed. Health Informatics, 2018)

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. - Nicolas Duchateau; Maxime Sermesant; Herve Delingette; Nicholas Ayache (IEEE Trans. Medical Imaging, 2018)

3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation. - Qiao Zheng; Herve Delingette; Nicolas Duchateau; Nicholas Ayache (IEEE Trans. Medical Imaging, 2018)

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 (FIMH, 2019)

Domain Adaptation via Dimensionality Reduction for the Comparison of Cardiac Simulation Models. - Nicolas Duchateau; Kenny Rumindo; Patrick Clarysse (FIMH, 2019)

Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. - Maxime Di Folco; Patrick Clarysse; Pamela Moceri; Nicolas Duchateau (STACOM@MICCAI, 2019)

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)

Population-Based Personalization of Geometric Models of Myocardial Infarction. - Kannara Mom; Patrick Clarysse; Nicolas Duchateau (FIMH, 2021)

Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling. - Gabriel Bernardino; Patrick Clarysse; Álvaro Sepúlveda-Martínez; Merida Rodriguez-Lopez; Susanna Prat-Gonzàlez; Marta Sitges; Eduard Gratacós; Fátima Crispi; Nicolas Duchateau (STACOM@MICCAI, 2021)

Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. - Benoît Freiche; Patrick Clarysse; Magalie Viallon; Pierre Croisille; Nicolas Duchateau (STACOM@MICCAI, 2021)

Reinforcement Learning for Active Modality Selection During Diagnosis. - Gabriel Bernardino; Anders Jonsson 001; Filip Loncaric; Pablo-Miki Martí Castellote; Marta Sitges; Patrick Clarysse; Nicolas Duchateau (MICCAI (1), 2022)

Characterizing interactions between cardiac shape and deformation by non-linear manifold learning. - Maxime Di Folco; Pamela Moceri; Patrick Clarysse; Nicolas Duchateau (Medical Image Anal., 2022)

Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. - Maxime Di Folco; Pamela Moceri; Patrick Clarysse; Nicolas Duchateau (Medical Image Anal., 2022)

Echocardiography Segmentation With Enforced Temporal Consistency. - Nathan Painchaud; Nicolas Duchateau; Olivier Bernard 001; Pierre-Marc Jodoin (IEEE Trans. Medical Imaging, 2022)

Atlas statistiques et apprentissage de représentations pour la caractérisation de la fonction cardiaque à l'échelle de populations. - Nicolas Duchateau (2023)

Analysis of Non-imaging Data. - Nicolas Duchateau; Oscar Camara 001; Rafael Sebastián; Andrew P. King (AI and Big Data in Cardiology, 2023)

AI and Machine Learning: The Basics. - Nicolas Duchateau; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King (AI and Big Data in Cardiology, 2023)

From Machine Learning to Deep Learning. - Pierre-Marc Jodoin; Nicolas Duchateau; Christian Desrosiers (AI and Big Data in Cardiology, 2023)

Introduction. - Andrew P. King; Nicolas Duchateau (AI and Big Data in Cardiology, 2023)

Conclusions. - Andrew P. King; Nicolas Duchateau (AI and Big Data in Cardiology, 2023)

Outcome Prediction. - Buntheng Ly; Mihaela Pop; Hubert Cochet; Nicolas Duchateau; Declan P. O'Regan; Maxime Sermesant (AI and Big Data in Cardiology, 2023)

Diagnosis. - Daniel Rueckert; Moritz Knolle; Nicolas Duchateau; Reza Razavi; Georgios Kaissis (AI and Big Data in Cardiology, 2023)

Strainger Things: Discrete Differential Geometry for Transporting Right Ventricular Deformation Across Meshes. - Gabriel Bernardino; Thomas Dargent; Oscar Camara 001; Nicolas Duchateau (FIMH, 2023)

Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? - Maxime Di Folco; Thomas Dargent; Gabriel Bernardino; Patrick Clarysse; Nicolas Duchateau (FIMH, 2023)

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; Patrick Clarysse (FIMH, 2023)

Localizing Cardiac Dyssynchrony in M-mode Echocardiography with Attention Maps. - Marta Saiz-Vivó; Isaac Capallera; Nicolas Duchateau; Gabriel Bernardino; Gemma Piella; Oscar Camara 001 (FIMH, 2023)

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. - Arnaud Judge; Thierry Judge; Nicolas Duchateau; Roman A. Sandler; Joseph Z. Sokol; Olivier Bernard 001; Pierre-Marc Jodoin (MICCAI (9), 2024)

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. - Nathan Painchaud; Pierre-Yves Courand; Pierre-Marc Jodoin; Nicolas Duchateau; Olivier Bernard 001 (CoRR, 2024)

Population-Based Personalization of a 2D Diffusion-Based Model of Myocardial Infarct. - Anastasia Konik; Romain Deleat-Besson; Patrick Clarysse; Nicolas Duchateau (FIMH (2), 2025)

Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. - P.-E. Thiboud; Valentine Wargnier-Dauchelle; Mathieu Lefort; Nicolas Duchateau; Michaël Sdika (ISBI, 2025)

Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis. - Romain Deleat-Besson; Magalie Viallon; Lorena Petrusca; Pierre Croisille; Nicolas Duchateau (Comput. Biol. Medicine, 2025)

Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images. - Anastasia Konik; Patrick Clarysse; Nicolas Duchateau (Pattern Recognit. Lett., 2025)

High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations. - Maxime Di Folco; Gabriel Bernardino; Patrick Clarysse; Nicolas Duchateau (CoRR, 2025)

Copula-based mixture model identification for subgroup clustering with imaging applications. - Fei Zheng; Nicolas Duchateau (CoRR, 2025)

Hierarchical Data Integration With Gaussian Processes: Application to the Characterization of Cardiac Ischemia-Reperfusion Patterns. - Benoît Freiche; Gabriel Bernardino; Romain Deleat-Besson; Patrick Clarysse; Nicolas Duchateau (IEEE Trans. Medical Imaging, 2025)