| 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 | 140 | 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 | 124 | 2012 |
| 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 | 114 | 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 |
| 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 | 100 | 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 | 97 | 2015 |
| 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 | 94 | 2017 |
| 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 | 83 | 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 | 80 | 2013 |
| A proof of concept for computational fluid dynamic analysis of the left atrium in atrial fibrillation on a patient-specific basis A Masci, M Alessandrini, D Forti, F Menghini, L Dedé, C Tomasi, ... Journal of Biomechanical Engineering 142 (1), 011002, 2020 | 58 | 2020 |
| Realistic vendor-specific synthetic ultrasound data for quality assurance of 2-d speckle tracking echocardiography: Simulation pipeline and open access database M Alessandrini, B Chakraborty, B Heyde, O Bernard, M De Craene, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 65 …, 2017 | 58 | 2017 |
| Detailed evaluation of five 3D speckle tracking algorithms using synthetic echocardiographic recordings M Alessandrini, B Heyde, S Queirós, S Cygan, M Zontak, O Somphone, ... IEEE transactions on medical imaging 35 (8), 1915-1926, 2016 | 56 | 2016 |
| A restoration framework for ultrasonic tissue characterization M Alessandrini, S Maggio, J Porée, L De Marchi, N Speciale, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 58 …, 2011 | 53 | 2011 |
| Predictive deconvolution and hybrid feature selection for computer-aided detection of prostate cancer S Maggio, A Palladini, L De Marchi, M Alessandrini, N Speciale, G Masetti IEEE transactions on medical imaging 29 (2), 455-464, 2009 | 51 | 2009 |
| A framework for the generation of realistic synthetic cardiac ultrasound and magnetic resonance imaging sequences from the same virtual patients Y Zhou, S Giffard-Roisin, M De Craene, S Camarasu-Pop, J D’Hooge, ... IEEE transactions on medical imaging 37 (3), 741-754, 2017 | 50 | 2017 |
| Monogenic phase based optical flow computation for myocardial motion analysis in 3D echocardiography M Alessandrini, H Liebgott, D Barbosa, O Bernard International Workshop on Statistical Atlases and Computational Models of …, 2012 | 45 | 2012 |
| Simulation of realistic echocardiographic sequences for ground-truth validation of motion estimation M Alessandrini, H Liebgott, D Friboulet, O Bernard 2012 19th IEEE International Conference on Image Processing, 2329-2332, 2012 | 41 | 2012 |
| A new technique for the estimation of cardiac motion in echocardiography based on transverse oscillations: A preliminary evaluation in silico and a feasibility demonstration in … M Alessandrini, A Basarab, L Boussel, X Guo, A Serusclat, D Friboulet, ... IEEE Transactions on Medical Imaging 33 (5), 1148-1162, 2014 | 40 | 2014 |
| Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification M Tabassian, M Alessandrini, L Herbots, O Mirea, ED Pagourelias, ... The international journal of cardiovascular imaging 33, 1159-1167, 2017 | 36 | 2017 |
| Anatomical image registration using volume conservation to assess cardiac deformation from 3D ultrasound recordings B Heyde, M Alessandrini, J Hermans, D Barbosa, P Claus, J D'hooge IEEE transactions on medical imaging 35 (2), 501-511, 2015 | 36 | 2015 |
Olivier BernardCREATISVerified email at creatis.insa-lyon.fr
