Olivier Bernard
Olivier Bernard
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
The ultrasound toolbox
A Rodriguez-Molares, OMH Rindal, O Bernard, A Nair, MAL Bell, ...
2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017
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
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
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
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
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
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
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
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
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
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