| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018 | 1571 | 2018 |
| Deep learning for segmentation using an open large-scale dataset in 2D echocardiography S Leclerc, E Smistad, J Pedrosa, A Østvik, F Cervenansky, F Espinosa, ... IEEE transactions on medical imaging 38 (9), 2198-2210, 2019 | 532 | 2019 |
| Plane-wave imaging challenge in medical ultrasound H Liebgott, A Rodriguez-Molares, F Cervenansky, JA Jensen, O Bernard 2016 IEEE International ultrasonics symposium (IUS), 1-4, 2016 | 237 | 2016 |
| Variational B-spline level-set: a linear filtering approach for fast deformable model evolution O Bernard, D Friboulet, P Thévenaz, M Unser IEEE Transactions on Image Processing 18 (6), 1179-1191, 2009 | 236 | 2009 |
| Cardiac segmentation with strong anatomical guarantees N Painchaud, Y Skandarani, T Judge, O Bernard, A Lalande, PM Jodoin IEEE transactions on medical imaging 39 (11), 3703-3713, 2020 | 183 | 2020 |
| Fast automatic myocardial segmentation in 4D cine CMR datasets S Queirós, D Barbosa, B Heyde, P Morais, JL Vilaça, D Friboulet, ... Medical image analysis 18 (7), 1115-1131, 2014 | 174 | 2014 |
| B-spline explicit active surfaces: an efficient framework for real-time 3-D region-based segmentation D Barbosa, T Dietenbeck, J Schaerer, J D'hooge, D Friboulet, O Bernard IEEE transactions on image processing 21 (1), 241-251, 2011 | 169 | 2011 |
| Proposed requirements for cardiovascular imaging-related machine learning evaluation (PRIME): a checklist: reviewed by the American College of Cardiology Healthcare Innovation … PP Sengupta, S Shrestha, B Berthon, E Messas, E Donal, GH Tison, ... Cardiovascular Imaging 13 (9), 2017-2035, 2020 | 159 | 2020 |
| A pipeline for the generation of realistic 3D synthetic echocardiographic sequences: Methodology and open-access database M Alessandrini, M De Craene, O Bernard, S Giffard-Roisin, P Allain, ... IEEE transactions on medical imaging 34 (7), 1436-1451, 2015 | 136 | 2015 |
| A virtual imaging platform for multi-modality medical image simulation T Glatard, C Lartizien, B Gibaud, RF Da Silva, G Forestier, F Cervenansky, ... IEEE transactions on medical imaging 32 (1), 110-118, 2012 | 121 | 2012 |
| The ultrasound toolbox A Rodriguez-Molares, OMH Rindal, O Bernard, A Nair, MAL Bell, ... 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 116 | 2017 |
| Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015 | 112 | 2015 |
| CREASEG: a free software for the evaluation of image segmentation algorithms based on level-set T Dietenbeck, M Alessandrini, D Friboulet, O Bernard 2010 IEEE International conference on image processing, 665-668, 2010 | 110 | 2010 |
| Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT J Vandemeulebroucke, O Bernard, S Rit, J Kybic, P Clarysse, D Sarrut Medical physics 39 (2), 1006-1015, 2012 | 102 | 2012 |
| Compactly supported radial basis functions based collocation method for level-set evolution in image segmentation A Gelas, O Bernard, D Friboulet, R Prost IEEE Transactions on Image Processing 16 (7), 1873-1887, 2007 | 99 | 2007 |
| Myocardial motion estimation from medical images using the monogenic signal M Alessandrini, A Basarab, H Liebgott, O Bernard IEEE transactions on image processing 22 (3), 1084-1095, 2012 | 97 | 2012 |
| Compressed sensing reconstruction of 3D ultrasound data using dictionary learning and line-wise subsampling O Lorintiu, H Liebgott, M Alessandrini, O Bernard, D Friboulet IEEE transactions on medical imaging 34 (12), 2467-2477, 2015 | 94 | 2015 |
| A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography I Dydenko, F Jamal, O Bernard, J D’hooge, IE Magnin, D Friboulet Medical image analysis 10 (2), 162-177, 2006 | 84 | 2006 |
| Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set T Dietenbeck, M Alessandrini, D Barbosa, J D’hooge, D Friboulet, ... Medical image analysis 16 (2), 386-401, 2012 | 82 | 2012 |
| 3D strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies M De Craene, S Marchesseau, B Heyde, H Gao, M Alessandrini, ... IEEE transactions on medical imaging 32 (9), 1632-1646, 2013 | 79 | 2013 |
Denis FribouletProfesseur traitement du signal et de l'image, INSA-Lyon在 creatis.insa-lyon.fr 的电子邮件经过验证
