Nicolas Duchateau

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Dimensionality Reduction

Manifold Learning

Myocardial Infarction

Top Venues

IEEE Trans. Medical Imaging

Publications

Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. CoRR (2024)
Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. CoRR (2024)
Bianca Freytag, Nicolas Duchateau, Lorena Petrusca, Jacques Ohayon, Pierre Croisille, Patrick Clarysse
Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction. FIMH (2023)
Marta Saiz-Vivó, Isaac Capallera, Nicolas Duchateau, Gabriel Bernardino, Gemma Piella, Oscar Camara
Localizing Cardiac Dyssynchrony in M-mode Echocardiography with Attention Maps. FIMH (2023)
Gabriel Bernardino, Thomas Dargent, Oscar Camara, Nicolas Duchateau
Strainger Things: Discrete Differential Geometry for Transporting Right Ventricular Deformation Across Meshes. FIMH (2023)
Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? FIMH (2023)
Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. Medical Image Anal. 78 (2022)
Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
Characterizing interactions between cardiac shape and deformation by non-linear manifold learning. Medical Image Anal. 75 (2022)
Gabriel Bernardino, Anders Jonsson, Filip Loncaric, Pablo-Miki Martí Castellote, Marta Sitges, Patrick Clarysse, Nicolas Duchateau
Reinforcement Learning for Active Modality Selection During Diagnosis. MICCAI (1) (2022)
Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin
Echocardiography Segmentation With Enforced Temporal Consistency. IEEE Trans. Medical Imaging 41 (10) (2022)
Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. FIMH (2021)
Kannara Mom, Patrick Clarysse, Nicolas Duchateau
Population-Based Personalization of Geometric Models of Myocardial Infarction. FIMH (2021)
Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croisille, Nicolas Duchateau
Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. STACOM@MICCAI (2021)
Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin
Echocardiography Segmentation with Enforced Temporal Consistency. CoRR (2021)
Gabriel Bernardino, Patrick Clarysse, Álvaro Sepúlveda-Martínez, Merida Rodriguez-Lopez, Susanna Prat-Gonzàlez, Marta Sitges, Eduard Gratacós, Fátima Crispi, Nicolas Duchateau
Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling. STACOM@MICCAI (2021)
Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI (2019)
Mathieu De Craene, Paolo Piro, Nicolas Duchateau, Pascal Allain, Eric Saloux
Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction. FIMH (2019)
Nicolas Duchateau, Kenny Rumindo, Patrick Clarysse
Domain Adaptation via Dimensionality Reduction for the Comparison of Cardiac Simulation Models. FIMH (2019)
Qiao Zheng, Herve Delingette, Nicolas Duchateau, Nicholas Ayache
3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation. IEEE Trans. Medical Imaging 37 (9) (2018)
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR (2018)
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR (2018)
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
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. ShapeMI@MICCAI (2018)
Nicolas Duchateau, Maxime Sermesant, Herve Delingette, Nicholas Ayache
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. IEEE Trans. Medical Imaging 37 (3) (2018)
Gerardo Kenny Rumindo, Nicolas Duchateau, Pierre Croisille, Jacques Ohayon, Patrick Clarysse
Strain-Based Parameters for Infarct Localization: Evaluation via a Learning Algorithm on a Synthetic Database of Pathological Hearts. FIMH (2017)
Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Bart H. Bijnens, Gemma Piella
Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Anal. 35 (2017)
Stéphanie Marchesseau, Nicolas Duchateau, Hervé Delingette
Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis. STACOM@MICCAI (2016)
Nicolas Duchateau, Mathieu De Craene, Pascal Allain, Eric Saloux, Maxime Sermesant
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space. IEEE Trans. Medical Imaging 35 (10) (2016)
Sergio Sanchez-Martinez, Nicolas Duchateau, Bart H. Bijnens, Tamás Erdei, Alan Fraser, Gemma Piella
Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction. FIMH (2015)
Nicolas Duchateau, Geneviève Giraldeau, Luigi Gabrielli, Juan Fernandez-Armenta, Diego Penela, Reinder Evertz, Lluís Mont, Josep Brugada, Antonio Berruezo, Marta Sitges, Bart H. Bijnens
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. 19 (1) (2015)
Nicolas Duchateau, Maxime Sermesant
Prediction of Infarct Localization from Myocardial Deformation. STACOM@MICCAI (2015)
David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernandez-Armenta, Bart H. Bijnens, Antonio Berruezo, Marta Sitges, Oscar Camara
Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT. FIMH (2015)
Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. STACOM@MICCAI (2015)
Nicolas Duchateau, Nerea Mangado Lopez, Mario Ceresa, Pavel Mistrik, Sergio Vera, Miguel Ángel González Ballester
Virtual cochlear electrode insertion via parallel transport frame. ISBI (2015)
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
Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Trans. Medical Imaging 33 (11) (2014)
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 I. Hernández, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas Smith, Alejandro F. Frangi
Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical Biol. Eng. Comput. 51 (11) (2013)
Nicolas Duchateau, Gemma Piella, Adelina Doltra, Lluís Mont, Josep Brugada, Marta Sitges, Bart H. Bijnens, Mathieu De Craene
Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes. FIMH (2013)
Ali Pashaei, Gemma Piella, Nicolas Duchateau, Luigi Gabrielli, Oscar Camara
Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study. STACOM (2013)
David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernandez-Armenta, Antonio Berruezo, Marta Sitges, Oscar Camara
Analyzing Electrical Patterns in an Experimental Swine Model of Dyssynchrony and CRT. CinC (2013)
Ali Pashaei, Gemma Piella, Xavier Planes, Nicolas Duchateau, Teresa María de Caralt, Marta Sitges, Alejandro F. Frangi
Image based cardiac acceleration map using statistical shape and 3D+t myocardial tracking models; in-vitro study on heart phantom. Medical Imaging: Image-Guided Procedures (2013)
Nicolas Duchateau, Mathieu De Craene, Marta Sitges, Vicent Caselles
Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold. GSI (2013)
Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi, Gemma Piella
Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images. MICCAI (2) (2013)
Corné Hoogendoorn, Nicolas Duchateau, Damian Sánchez-Quintana, Tristan Whitmarsh, Federico Sukno, Mathieu De Craene, Karim Lekadir, Alejandro F. Frangi
A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT. IEEE Trans. Medical Imaging 32 (1) (2013)
Mathieu De Craene, Gemma Piella, Oscar Camara, Nicolas Duchateau, Etelvino Silva, Adelina Doltra, Jan D'hooge, Josep Brugada, Marta Sitges, Alejandro F. Frangi
Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Anal. 16 (2) (2012)
Gemma Piella, Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Alejandro F. Frangi
Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing. STACOM (2012)
Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi
Constrained manifold learning for the characterization of pathological deviations from normality. Medical Image Anal. 16 (8) (2012)
Mathieu De Craene, Nicolas Duchateau, Catalina Tobon-Gomez, Babak Ghafaryasl, Gemma Piella, Kawal S. Rhode, Alejandro F. Frangi
SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification. ISBI (2012)
Nicolas Duchateau, Mathieu De Craene, Xavier Pennec, Beatriz Merino, Marta Sitges, Bart H. Bijnens
Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? STIA (2012)
Mathieu De Craene, Catalina Tobon-Gomez, Constantine Butakoff, Nicolas Duchateau, Gemma Piella, Kawal S. Rhode, Alejandro F. Frangi
Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences. STACOM (2011)
Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi
Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. MICCAI (3) (2011)
Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Etelvino Silva, Adelina Doltra, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi
A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities. Medical Image Anal. 15 (3) (2011)
Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Corné Hoogendoorn, Etelvino Silva, Adelina Doltra, Lluís Mont, Ma Angeles Castel, Josep Brugada, Marta Sitges
Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome? STACOM/CESC (2010)
Mathieu De Craene, Gemma Piella, Nicolas Duchateau, Etel Silva, Adelina Doltra, Hang Gao, Jan D'hooge, Oscar Camara, Josep Brugada, Marta Sitges
Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. MICCAI (2) (2010)
Corné Hoogendoorn, Tristan Whitmarsh, Nicolas Duchateau, Federico M. Sukno, Mathieu De Craene, Alejandro F. Frangi
A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction. Medical Imaging: Image Processing (2010)
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
Atlas Construction and Image Analysis Using Statistical Cardiac Models. STACOM/CESC (2010)
Nicolas Duchateau, Mathieu De Craene, Etel Silva, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi
Septal Flash Assessment on CRT Candidates Based on Statistical Atlases of Motion. MICCAI (1) (2009)