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2020 – today
- 2025
[j16]Anastasia Konik
, Patrick Clarysse, Nicolas Duchateau:
Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images. Pattern Recognit. Lett. 188: 8-14 (2025)- 2024
- [c37]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. MICCAI (9) 2024: 235-244 - [i5]Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard:
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. CoRR abs/2401.07796 (2024) - [i4]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 abs/2406.17902 (2024) - 2023
- [b2]Nicolas Duchateau:
Atlas statistiques et apprentissage de représentations pour la caractérisation de la fonction cardiaque à l'échelle de populations. Claude Bernard University Lyon 1, France, 2023 - [c36]Gabriel Bernardino, Thomas Dargent, Oscar Camara, Nicolas Duchateau:
Strainger Things: Discrete Differential Geometry for Transporting Right Ventricular Deformation Across Meshes. FIMH 2023: 338-346 - [c35]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: 607-615 - [c34]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: 678-687 - [c33]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: 688-697 - [p7]Andrew P. King, Nicolas Duchateau:
Introduction. AI and Big Data in Cardiology 2023: 1-10 - [p6]Nicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King:
AI and Machine Learning: The Basics. AI and Big Data in Cardiology 2023: 11-33 - [p5]Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers:
From Machine Learning to Deep Learning. AI and Big Data in Cardiology 2023: 35-56 - [p4]Daniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis:
Diagnosis. AI and Big Data in Cardiology 2023: 85-103 - [p3]Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan P. O'Regan, Maxime Sermesant:
Outcome Prediction. AI and Big Data in Cardiology 2023: 105-133 - [p2]Nicolas Duchateau, Oscar Camara, Rafael Sebastián, Andrew P. King:
Analysis of Non-imaging Data. AI and Big Data in Cardiology 2023: 183-200 - [p1]Andrew P. King, Nicolas Duchateau:
Conclusions. AI and Big Data in Cardiology 2023: 201-203 - [e2]Nicolas Duchateau, Andrew P. King:
AI and Big Data in Cardiology: A Practical Guide. Springer International Publishing 2023, ISBN 978-3-031-05070-1 [contents] - [e1]Olivier Bernard, Patrick Clarysse, Nicolas Duchateau, Jacques Ohayon, Magalie Viallon:
Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Lyon, France, June 19-22, 2023, Proceedings. Lecture Notes in Computer Science 13958, Springer 2023, ISBN 978-3-031-35301-7 [contents] - 2022
- [j15]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: 102278 (2022) - [j14]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: 102425 (2022) - [j13]Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation With Enforced Temporal Consistency. IEEE Trans. Medical Imaging 41(10): 2867-2878 (2022) - [c32]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: 592-601 - 2021
- [c31]Kannara Mom, Patrick Clarysse, Nicolas Duchateau:
Population-Based Personalization of Geometric Models of Myocardial Infarction. FIMH 2021: 3-11 - [c30]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: 223-231 - [c29]Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croisille, Nicolas Duchateau:
Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. STACOM@MICCAI 2021: 66-74 - [c28]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: 103-112 - [i3]Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation with Enforced Temporal Consistency. CoRR abs/2112.02102 (2021)
2010 – 2019
- 2019
- [c27]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: 159-167 - [c26]Nicolas Duchateau, Kenny Rumindo, Patrick Clarysse:
Domain Adaptation via Dimensionality Reduction for the Comparison of Cardiac Simulation Models. FIMH 2019: 276-284 - [c25]Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau:
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI 2019: 119-127 - 2018
- [j12]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): 503-515 (2018) - [j11]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): 755-766 (2018) - [j10]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): 2137-2148 (2018) - [c24]Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. ShapeMI@MICCAI 2018: 116-124 - [i2]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR abs/1803.11080 (2018) - [i1]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR abs/1804.09400 (2018) - 2017
- [j9]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: 70-82 (2017) - [c23]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: 106-114 - 2016
- [j8]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): 2340-2352 (2016) - [c22]Stéphanie Marchesseau, Nicolas Duchateau, Hervé Delingette:
Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis. STACOM@MICCAI 2016: 48-56 - 2015
- [j7]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): 203-219 (2015) - [c21]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: 65-73 - [c20]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: 74-82 - [c19]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: 1398-1401 - [c18]Nicolas Duchateau, Maxime Sermesant:
Prediction of Infarct Localization from Myocardial Deformation. STACOM@MICCAI 2015: 51-59 - [c17]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: 190-198 - 2014
- [j6]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): 2098-2106 (2014) - 2013
- [j5]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): 1235-1250 (2013) - [j4]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): 28-44 (2013) - [c16]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: 623-626 - [c15]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: 450-457 - [c14]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: 578-586 - [c13]Ali Pashaei, Gemma Piella, Nicolas Duchateau, Luigi Gabrielli, Oscar Camara:
Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study. STACOM 2013: 262-270 - [c12]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: 484-491 - [c11]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. Image-Guided Procedures 2013: 86710U - 2012
- [b1]Nicolas Duchateau:
Statistical atlases of cardiac motion and deformation for the characterization of CRT responders. Pompeu Fabra University, Spain, 2012 - [j3]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): 427-450 (2012) - [j2]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): 1532-1549 (2012) - [c10]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: 454-457 - [c9]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: 25-37 - [c8]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: 134-141 - 2011
- [j1]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): 316-328 (2011) - [c7]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: 68-77 - [c6]Nicolas Duchateau, Mathieu De Craene, Gemma Piella, Alejandro F. Frangi:
Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning. MICCAI (3) 2011: 256-263 - 2010
- [c5]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: 1-8 - [c4]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: 1-13 - [c3]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: 65-74 - [c2]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. Image Processing 2010: 76231R
2000 – 2009
- 2009
- [c1]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: 759-766
Coauthor Index
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