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Book chapter

1.  Bernard O, Clarysse P, Dietenbeck T, Friboulet D, Jehan-Besson S, Pousin J.
Extraction and segmentation of structures in image sequences.
Multi-modality Cardiac Imaging: Processing and Analysis. (Clarysse P, Friboulet D, ed.) Wiley-ISTE. 2015.

Scientific articles

50. Painchaud N, Duchateau N, Bernard O, Jodoin PM.
Echocardiography Segmentation with Enforced Temporal Consistency
IEEE Trans Med Imaging, 2022
DOI: 10.1109/TMI.2022.3173669

49. Romero W A, Viallon M, Spaltenstein J, Petrusca L , Bernard O, Belle L, Clarysse P, Croisille P.
CMRSegTools: An open-source software enabling reproducible research in segmentation of acute myocardial infarct in CMR images
Plos one, 2022
DOI: 10.1371/journal.pone.0274491

48. Evain E, Sun Y, Faraz K, Garcia D, Saloux E, De Craene M, Bernard O.
Motion estimation by deep learning in 2D echocardiography: synthetic dataset and validation
IEEE Trans Med Imaging, 2022
DOI: 10.1109/TMI.2022.3151606

47. Sun Y, Vixège F, Faraz K, Mendez S, Nicoud F, Garcia D, and Bernard O.
A pipeline for the generation of synthetic cardiac color Doppler
IEEE Ultrason Ferroelectr Freq Control, 2022:69:932-941
DOI: 10.1109/TUFFC.2021.3136620

46. Vixege F, Berod A, Sun Y, Mendez S, Bernard O, Ducros N, Courand PY, Nicoud F and Garcia D.
Physics-constrained intraventricular vector flow mapping by color Doppler
Physics in Medicine & Biology, 2021:66:245019
DOI: 10.1088/1361-6560/ac3ffe

45. Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison G, Min JK, D'hooge J, Voigt JU, Dudley J, Verjans J, Shameer K, Johnson K, Lovstakken L, Tabassian M, Piccirilli M, Pernot M, Yanamala N, Duchateau N, Kagiyama N, Bernard O, Slomka P, Deo R, Arnaout R.
Proposed requirements for cardiovascular imaging related machine learning evaluation (PRIME) checklist
JACC Cardiovascular Imaging, 2020:13:2017-2035

44. Painchaud N, Skandarani Y, Judge T, Bernard O, Lalande A, Jodoin PM.
Cardiac Segmentation with Strong Anatomical Guarantees
IEEE Trans Med Imaging, 2020:11:3703-3713

43. Leclerc S, Smistad E, Ostvik A, Cervenanski F, Espinosa F, Espeland T, Rye Berd EA, Belhamissi M, Israilov S, Grenier T, Lartizien C, Jodoin P M, Lovstakken L, Bernard O.
LU-Net: an attention network to improve the robustness of segmentation of left ventricular structures in 2D echocardiography
IEEE Ultrason Ferroelectr Freq Control, 2020:67:2519-2530

42. Evain E, Faraz K, Grenier T, Garcia D, De Craene M, Bernard O.
A Pilot Study on Convolutional Neural Networks for Motion Estimation from Ultrasound Images
IEEE Ultrason Ferroelectr Freq Control, 2020:67:2565-2573

41. Smistad E, Østvik A, Mjåland Salte I, Melichova D, Mi Nguyen T, Brunvand H, Edvardsen T, Leclerc L, Bernard O, Grenne B, Løvstakken L.
Real-time automatic ejection fraction and foreshortening detection using deep learning
IEEE Ultrason Ferroelectr Freq Control, 2020:67:2595-2604

40. Leclerc S, Smistad E, Pedrosa J, Østvik A, Cervenansky F, Espinosa F, Espeland T, Rye Berg EA, Jodoin PM, Grenier T, Lartizien C, D’hooge J, Lovstakken L, Bernard O.
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
IEEE Trans Med Imaging, 2019:38:2198-2210

39. Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng PA, Cetin I, Lekadir K, Camara O, Gonzalez Ballester MA, Sanroma G, Napel S, Petersen S, Tziritas G, Grinias E, Khened M, Kollerathu VA, Krishnamurthi G, Rohé MM, Pennec X, Sermesant M, Isensee F, Jäger P, Maier-Hein KH, Full PM, Wolf I, Engelhardt S, Baumgartner CF, Koch LM, Wolterink JM, Išgum I, Jang Y, Hong Y, Patravali J, Jain S, Humbert O, Jodoin PM.
Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans Med Imaging, 2018:37:2514-2525

38. Alessandrini M, Chakraborty B, Heyde B, Bernard O, De Craene M, Sermesant M, D’Hooge J.
Realistic vendor-specific synthetic ultrasound data for quality assurance of 2-d speckle tracking echocardiography : Simulation pipeline and open access database
IEEE Trans Ultrason Ferroelectr Freq Control, 2018:65:411-422

37. Zhou Y, Giffard-Roisin S, De Craene M, Camarasu-Pop S, D'hooge J, Alessandrini M, Friboulet D, Sermesant M, Bernard O.
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients.
IEEE Trans Med Imaging, 2018;37:741-754.

36. Pedrosa J, Queiros S, Bernard O, Engvall J, Edvardsen T, Nagel E, D'hooge J.
Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces.
IEEE Trans Med Imaging, 2017;36:2287-2296.

35. Barbosa D, Pedrosa J, Heyde B, Dietenbeck T, Friboulet D, Bernard O, D'hooge J.
heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces.
Comput Med Imaging Graph, 2017.

34. Papachristidis A, Galli E, Geleijnse ML, Heyde B, Alessandrini M, Barbosa D, Papitsas M, Pagnano G, Theodoropoulos KC, Zidros S, Donal E, Monaghan MJ, Bernard O, D'hooge J, Bosch JG.
Standardized Delineation of Endocardial Boundaries in Three-Dimensional Left Ventricular Echocardiograms.
J Am Soc Echocardiogr., 2017;30:1059-1069.

33. Turquin E, Petrusca L, Bernard O, Viallon M, Liebgott H, Varray F.
Local orientation imaging for tissue structure using ultrasound imaging.
IRBM, 2017;38:298-303.

32. Almeida N, Friboulet D, Sarvari S, Bernard O, Barbosa D, Samset E, D'hooge J.
Left-atrial segmentation from 3D ultrasound using B-spline explicit active surfaces with scale uncoupling.
IEEE Trans Ultrason Ferroelectr Freq Control, 2016;63:212-221.

31. Pedrosa J, Barbosa D, Almeida N, Bernard O, Bosch J, D’hooge J.
Cardiac chamber volumetric assessment using 3D ultrasound - a review.
Current Pharmaceutical Design, 2016;22:105-121.

30. Besson A, Zhang M, Varray F, Herve L, Friboulet D, Wiaux Y, Thiran JP, Carrillo RE, Bernard O.
A sparse reconstruction framework for Fourier-based plane wave imaging.
IEEE Trans Ultrason Ferroelectr Freq Control, 2016;63:2092-2106.

29. Bernard O, Bosch JG, Heyde B, Alessandrini M, Barbosa D, Camarasu-Pop S, Cervenansky F, Valette S, Mirea O, Bernier M, Jodoin PM, Domingos JS, Stebbing RV, Keraudren K, Oktay O, Caballero J, Shi W, Rueckert D, Milletari F, Ahmadi SA, Smistad E, Lindseth F, van Stralen M, Wang C, Smedby O, Donal E, Monaghan M, Papachristidis A, Geleijnse ML, Galli E, D'hooge J.
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans Med Imaging, 2016;35:967-977.

28. Varray F, Bernard O, Assou S, Cachard C, Vray D.
Hybrid Strategy to Simulate 3-D Nonlinear Radio-Frequency Ultrasound Using a Variant Spatial PSF.
IEEE Trans Ultrason Ferroelectr Freq Control, 2016;63:1390-1398.

27. Alessandrini M, Heyde B, Queiros S, Cygan S, Zontak M, Somphone O, Bernard O, Sermesant M, Delingette H, Barbosa D, De Craene M, ODonnell M, Dhooge J.
Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings.
IEEE Trans Med Imaging, 2016;35:1915-1926.

26. Zhang M, Varray F, Besson A, Carrillo RE, Viallon M, Garcia D, Thiran JP, Friboulet D, Liebgott H, Bernard O.
Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves.
IEEE Trans Ultrason Ferroelectr Freq Control, 2016;63:2125-2137.

25. Alessandrini M, De Craene M, Bernard O, Giffard-Roisin S, Allain P, Weese J, Saloux E, Delingette H, Sermesant M, D'hooge J.
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.
IEEE Trans Med Imaging, 2015;34:1436-1457.

24. Zhou Y, Bernard O, Saloux E, Manrique A, Allain P, Makram-Ebeid S, De Craene M.
3D Harmonic Phase Tracking with Anatomical Regularization.
Med Image Anal, 2015;26:70-81.

23. Lorintiu O, Liebgott H, Alessandrini M, Bernard O, Friboulet D.
Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling.
IEEE Trans Med Imaging, 2015;34:2467-2477.

22. Queiros S, Barbosa D, Heyde B, Morais P, Vilaca JL, Friboulet D, Bernard O, D'hooge J.
Fast Automatic Myocardial Segmentation in 4D cine CMR datasets.
Med Image Anal, 2014;18:1115-1131.

21. Barbosa D, Heyde B, Cikes M, Dietenbeck T, Claus P, Friboulet D, Bernard O, D'hooge J.
Real-Time 3D Interactive Segmentation of Echocardiographic Data Through User-based Deformation of B-spline Explicite Active Surfaces.
Computerized Medical Imaging and Graphics, 2014;38:57-67.

20. Dietenbeck T, Barbosa D, Alessandrini M, Jasaityte R, Robesyn V, D'hooge J, Friboulet D, Bernard O.
Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set.
Med Image Anal, 2014;18:500-514.

19. Alessandrini M, Basarab A, Boussel L, Guo X, Serusclat A, Friboulet D, Kouame D, Bernard O, Liebgott H.
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 vivo.
IEEE Trans Med Imaging, 2014;33:1148-1162.

18. Barbosa D, Dietenbeck T, Heyde B, Houle H, Friboulet D, D'hooge J, Bernard O.
Fast and fully automatic 3-d echocardiographic segmentation using B-spline explicit active surfaces: feasibility study and validation in a clinical setting.
Ultrasound Med Biol, 2013;39:89-101.

17. De Craene M, Marchesseau S, Heyde B, Gao H, Alessandrini M, Bernard O, Piella G, Porras AR, Tautz L, Hennemuth A, Prakosa A, Liebgott H, Somphone O, Allain P, Makram Ebeid S, Delingette H, Sermesant M, D'hooge J, Saloux E.
3D Strain Assessment in Ultrasound (Straus): A synthetic comparison of five tracking methodologies.
IEEE Trans Med Imaging, 2013;32:1632-1646.

16. Alessandrini M, Basarab A, Liebgott H, Bernard O.
Myocardial Motion Estimation from Medical Images Using the Monogenic Signal.
IEEE Trans Image Process, 2013;22:1084-1095.

15. Barbosa D, Heyde B, Dietenbeck T, Houle H, Friboulet D, Bernard O, D'hooge J.
Quantification of left ventricular volume and global function using a fast automated segmentation tool: validation in a clinical setting.
Int J Cardiovasc Imaging, 2013;29:309-316.

14. Richy J, Friboulet D, Bernard A, Bernard O, Liebgott H.
Blood Velocity Estimation Using Compressive Sensing.
IEEE Trans Med Imaging, 2013;32:1979-1988.

13. Glatard T, Lartizien C, Gibaud B, da Silva RF, Forestier G, Cervenansky F, Alessandrini M, Benoit-Cattin H, Bernard O, Camarasu-Pop S, Cerezo N, Clarysse P, Gaignard A, Hugonnard P, Liebgott H, Marache S, Marion A, Montagnat J, Tabary J, Friboulet D.
A Virtual Imaging Platform for multi-modality medical image simulation.
IEEE Trans Med Imaging, 2013;32:110-118.

12. Alessandrini M, Bernard O, Basarab A, Liebgott H.
Multiscale optical flow computation from the monogenic signal.
IRBM, 2013;34:33-37.

11. Dietenbeck T, Alessandrini M, Barbosa D, D'hooge J, Friboulet D, Bernard O.
Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set.
Med Image Anal, 2012;16:386-401.

10. Barbosa D, Dietenbeck T, Schaerer J, D'hooge J, Friboulet D, Bernard O.
B-spline explicit active surfaces: an efficient framework for real-time 3-D region-based segmentation.
IEEE Trans Image Process, 2012;21:241-251.

9. Vandemeulebroucke J, Bernard O, Rit S, Kybic J, Clarysse P, Sarrut D.
Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT.
Med Phys, 2012;39:1006-1015.

8. Alessandrini M, Maggio S, Porée J, De Marchi L, Speciale N, Franceschini E, Bernard O, Basset O.
A restoration framework for ultrasonic tissue characterization.
IEEE Trans Ultrason Ferroelectr Freq Control, 2011;58:2344-2360.

7. Alessandrini M, Dietenbeck T, Basset O, Friboulet D, Bernard O.
Using a geometric formulation of annular-like shape priors for constraining variational level-sets.
Pattern Recognition Letters, 2011;32:1240-1249.

6. Touil B, Basarab A, Delachartre P, Bernard O, Friboulet D.
Analysis of motion tracking in echocardiographic image sequences: influence of system geometry and point-spread function.
Ultrasonics, 2010;50:373-386.

5. Bernard O, Friboulet D, Thevenaz P, Unser M.
Variational B-spline level-set: a linear filtering approach for fast deformable model evolution.
IEEE Trans Image Process, 2009;18:1179-1191.

4. Bernard O, Touil B, D'hooge J, Friboulet D.
Statistical modeling of the radio-frequency signal for partially and fully developed speckle based on a Generalized Gaussian model with application to echocardiography.
IEEE Trans Ultrason Ferroelectr Freq Control, 2007;54:2189-2194.

3. Gelas A, Bernard O, Friboulet D, Prost R.
Compactly supported radial basis functions based collocation method for level-set evolution in image segmentation.
IEEE Trans Image Process, 2007;16:1873-1887.

2. Bernard O, D'hooge J, Friboulet D.
Statistics of the radio-frequency signal based on K distribution with application to echocardiography.
IEEE Trans Ultrason Ferroelectr Freq Control, 2006;53:1689-1694.

1. Dydenko I, Jamal F, Bernard O, D'hooge J, Magnin IE, Friboulet D.
A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography.
Med Image Anal, 2006;10:162-77.