| Machine-learning based phenogrouping in heart failure to identify responders to resynchronization therapy M Cikes, S Sanchez-Martinez, B Claggett, N Duchateau, G Piella, ... European Journal of Heart Failure 21, 74-85, 2019 | 219 | 2019 |
| 3D consistent & robust segmentation of cardiac images by deep learning with spatial propagation Q Zheng, H Delingette, N Duchateau, N Ayache IEEE Transactions on Medical Imaging 37, 2137-2148, 2018 | 208 | 2018 |
| Temporal diffeomorphic Free-Form Deformation: application to motion and strain estimation from 3D echocardiography M De Craene, G Piella, O Camara, N Duchateau, E Silva, A Doltra, ... Medical Image Analysis 16 (2), 427-450, 2012 | 179 | 2012 |
| Proposed requirements for cardiovascular imaging-related machine learning evaluation (PRIME): a checklist PP Sengupta, S Shrestha, B Berthon, E Messas, E Donal, G Tison, JK Min, ... JACC Cardiovascular Imaging 13, 2017-35, 2020 | 152* | 2020 |
| Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction S Sanchez-Martinez, N Duchateau, T Erdei, G Kunszt, S Aakhus, ... Circulation Cardiovascular Imaging 11, e007138, 2018 | 128 | 2018 |
| Left atrial dysfunction relates to symptom onset in patients with heart failure and preserved left ventricular ejection fraction L Sanchis, L Gabrielli, R Andrea, C Falces, N Duchateau, F Perez-Villa, ... European Heart Journal: Cardiovascular Imaging 16 (1), 62-67, 2015 | 112 | 2015 |
| A high-resolution atlas and statistical model of the human heart from multislice CT C Hoogendoorn, N Duchateau, D Sánchez-Quintana, T Whitmarsh, ... IEEE Transactions on Medical Imaging 32 (1), 28-44, 2013 | 105 | 2013 |
| Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension P Moceri, N Duchateau, D Baudouy, ED Schouver, S Leroy, F Squara, ... European Heart Journal: Cardiovascular Imaging 19 (4), 450-458, 2018 | 100 | 2018 |
| Statistical shape modeling of the left ventricle: myocardial infarct classification challenge A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ... IEEE Journal of Biomedical and Health Informatics 22 (2), 503-515, 2017 | 90 | 2017 |
| A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities N Duchateau, M De Craene, G Piella, E Silva, A Doltra, M Sitges, ... Medical Image Analysis 15 (3), 316-328, 2011 | 90 | 2011 |
| Characterization of myocardial motion patterns by unsupervised multiple kernel learning S Sanchez-Martinez, N Duchateau, T Erdei, A Fraser, B Bijnens, G Piella Medical Image Analysis 35, 70-82, 2017 | 75 | 2017 |
| Atrial functional and geometrical remodeling in highly trained male athletes: for better or worse? L Gabrielli, B Bijnens, C Butakoff, N Duchateau, S Montserrat, B Merino, ... European Journal of Applied Physiology 114, 1143-52, 2014 | 50 | 2014 |
| Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases N Duchateau, M Sermesant, H Delingette, N Ayache IEEE Transactions on Medical Imaging 37 (3), 755-766, 2018 | 49 | 2018 |
| Assessment of laser-dazzling effects on TV-cameras by means of pattern recognition algorithms A Durécu, O Vasseur, P Bourdon, B Eberle, H Bürsing, J Dellinger, ... SPIE Conference on Technologies for Optical Countermeasures, 67380J, 2007 | 48 | 2007 |
| Differential atrial performance at rest and during exercise in highly trained athletes: a potential trigger for developing atrial dysfunction? L Gabrielli, B Bijnens, C Bambrila, N Duchateau, J Marin, I Sitges-Serra, ... Scandinavian Journal of Medicine and Science in Sports 26, 1444-54, 2016 | 42* | 2016 |
| Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space N Duchateau, M De Craene, P Allain, E Saloux, M Sermesant IEEE Transactions on Medical Imaging 35 (10), 2340-2352, 2016 | 38 | 2016 |
| Constrained manifold learning for the characterization of pathological deviations from normality N Duchateau, M De Craene, G Piella, A Frangi Medical Image Analysis 16 (8), 1532-1549, 2012 | 38 | 2012 |
| Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models C Tobon-Gomez, N Duchateau, R Sebastian, S Marchesseau, O Camara, ... Medical & Biological Engineering & Computing 51 (11), 1235-1250, 2013 | 37 | 2013 |
| Temporal diffeomorphic Free Form Deformation (TDFFD) applied to motion and deformation quantification of tagged MRI sequences M De Craene, C Tobon-Gomez, C Butakoff, N Duchateau, G Piella, ... Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI …, 2012 | 35 | 2012 |
| Echocardiography segmentation with enforced temporal consistency N Painchaud, N Duchateau, O Bernard, PM Jodoin IEEE Transactions on Medical Imaging 41, 2867-78, 2022 | 34 | 2022 |
Bart BijnensICREA Professor, UPF, Barcelona, Spain (ROR 0371hy230)在 upf.edu 的电子邮件经过验证
