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Journal Article

  1. [ZHOU-18]“A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients”, IEEE Transactions on Medical Imaging, vol. 37, pp. 741-754, 2018.
  2. [BARB-17]“heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces”, Computerized Medical Imaging and Graphics, vol. 62, pp. 26-33, 2017.
  3. [PEDR-17]“Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces”, IEEE Transactions on Medical Imaging, p. accepted, 2017.
  4. [PAPA-17]“Standardized delineation of endocardial boundaries in 3D left ventricular echocardiograms”, Journal of the American Society of Echocardiography, p. accepted, 2017.
  5. [TURQ-17]“Local orientation imaging for tissue structure using ultrasound imaging”, IRBM, vol. 38, pp. 298-303, 2017.
    http://www.sciencedirect.com/science/article/pii/S195903181730091X
  6. [ZHAN-16b]“Extension of Fourier-based techniques for ultrafast imaging in ultrasound with diverging waves”, IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 63, pp. 2125-2137, 2016.
    http://ieeexplore.ieee.org/document/7588198/
  7. [ALME-16]N. Almeida, Friboulet, D., Sarvari, S., Bernard, O., Barbosa, D., Samset, E., and D'hooge, J., “Left-atrial segmentation from 3D ultrasound using B-spline explicit active surfaces with scale uncoupling”, IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 63, pp. 212-221, 2016.
  8. [BESS-16]“A sparse reconstruction framework for Fourier-based plane wave imaging”, IEEE Transactions on Ultrasonics Ferroelectrics an Frequency Control, vol. 63, pp. 2092-2106, 2016.
    http://ieeexplore.ieee.org/document/7582552/
  9. [BERN-16]O. Bernard, Bosch, J. G., Heyde, B., Alessandrini, M., Barbosa, D., D'hooge, J., Camarasu-Pop, S., Cervenansky, F., and Valette, S., “Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography”, IEEE Transactions on Medical Imaging, vol. 35, pp. 1915-1926, 2016.
  10. [VARR-16a]“Hybrid Strategy to Simulate 3-D Nonlinear Radio-Frequency Ultrasound Using a Variant Spatial PSF”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 63, pp. 1390-1398, 2016.
    http://ieeexplore.ieee.org/document/7489029/
  11. [ALES-16]M. Alessandrini, Heyde, B., Queirós, S., Cygan, S., Zontak, M., Somphone, O., Bernard, O., Sermesant, M., Barbosa, D., De Craene, M., O'Donnell, M., and D'hooge, J., “Detailed Evaluation of Five 3D Speckle Tracking Algorithms using Synthetic Echocardiographic Recordings”, IEEE Transactions on Medical Imaging, vol. 35, pp. 1915-1926, 2016.
  12. [LORI-15a]O. Lorintiu, Liebgott, H., Alessandrini, M., Bernard, O., and Friboulet, D., “Compressed sensing reconstruction of 3D ultrasound data using dictionary learning and line-wise subsampling”, IEEE Transactions on Medical Imaging, vol. 34, pp. 2467-2477, 2015.
  13. [ALES-15a]M. Alessandrini, De Creane, M., Bernard, O., Giffard-Roisin, S., Allain, P., Waechter-Stehle, I., Weese, J., Saloux, E., Delingette, H., Sermesant, M., and D'hooge, J., “A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database”, IEEE Transactions on Medical Imaging, vol. 34, pp. 1436-1451, 2015.
  14. [ZHOU-15]Y. Zhou, Bernard, O., Saloux, E., Manrique, A., Allain, P., Makram-Ebeid, S., and De Craene, M., “3D Harmonic Phase Tracking with Anatomical Regularization”, Medical Image Analysis, vol. 26, pp. 70-81, 2015.
  15. [ALES-14]M. Alessandrini, Basarab, A., Boussel, L., Guo, X., Sérusclat, A., Friboulet, D., Kouamé, D., Bernard, O., and 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 Transactions on Medical Imaging, vol. 33, pp. 1148-1162, 2014.
  16. [BARB-14]D. C. Barbosa, Heyde, B., Cikes, M., Dietenbeck, T., Claus, P., Friboulet, D., Bernard, O., and 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, vol. 38, pp. 57-67, 2014.
  17. [QUEI-14]S. Queirós, Barbosa, D. C., Heyde, B., Morais, P., Vila, J. - L., Friboulet, D., Bernard, O., and D'hooge, J., “Fast Automatic Myocardial Segmentation in 4D cine CMR datasets”, Medical Image Analysis, vol. 18, pp. 1115-1131, 2014.
  18. [DIET-14]T. Dietenbeck, Barbosa, D., Alessandrini, M., Jasaityte, R., Robesyn, V., D'hooge, J., Friboulet, D., and Bernard, O., “Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set”, Medical Image Analysis, vol. 18, pp. 500–514, 2014.
  19. [DECR-13]M. De Craene, Marchesseau, S., Heyde, B., Gao, H., Alessandrini, M., Bernard, O., Piella, G., Porras, A. R., Tautz, L., Hennemuth, A., Prakosa, A., Liebgott, H., Allain, P., Makram Ebeid, S., Delingette, H., Sermesant, M., D'hooge, J., and Saloux, E., “3D Strain Assessment in Ultrasound (Straus): A synthetic comparison of five tracking methodologies”, IEEE Transactions on Medical Imaging, vol. PP, 2013.
  20. [RICH-13]J. Richy, Friboulet, D., Bernard, A., Bernard, O., and Liebgott, H., “Blood Velocity Estimation Using Compressive Sensing”, IEEE Transactions on Medical Imaging, vol. 32, pp. 1979-1988, 2013.
  21. [GLAT-13]T. Glatard, Lartizien, C., Gibaud, B., Ferreira da Silva, R., 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., and Friboulet, D., “A Virtual Imaging Platform for multi-modality medical image simulation”, IEEE Transactions on Medical Imaging, vol. 32, pp. 110-118, 2013.PDF icon tmi-2012.pdf (487.25 KB)
  22. [ALES-13]M. Alessandrini, Basarab, A., Liebgott, H., and Bernard, O., “Myocardial Motion Estimation from Medical Images Using the Monogenic Signal”, IEEE Transactions on Image Processing, vol. 22, pp. 1084-1095, 2013.
  23. [BARB-13b]D. C. Barbosa, Heyde, B., Dietenbeck, T., Houle, H., Friboulet, D., Bernard, O., and D'hooge, J., “Quantification of Left Ventricular Volume and Global Function using a Fast Fully Automated Segmentation Tool: Validation in a Clinical Setting”, International Journal of Cardiovascular Imaging, vol. 29, pp. 309-316, 2013.
  24. [ALES-13b]M. Alessandrini, Bernard, O., Basarab, A., and Liebgott, H., “Multiscale optical flow computation from the monogenic signal”, IRBM, vol. 34, pp. 33-37, 2013.
  25. [BARB-13]D. C. Barbosa, Dietenbeck, T., Heyde, B., Houle, H., Friboulet, D., D'hooge, J., and Bernard, O., “Fast and Fully Automatic 3D Echocardiographic Segmentation Using B-Spline Explicit Active Surfaces: Feasibility Study and Validation in a Clinical Setting”, Ultrasound in Medicine and Biology, vol. 39, pp. 89-101, 2013.
  26. [BARB-12a]D. C. Barbosa, Dietenbeck, T., Schaerer, J., D'hooge, J., Friboulet, D., and Bernard, O., “B-Spline Explicit Active Surfaces: An efficient framework for real-time 3D region-based segmentation”, IEEE Transactions on Image Processing, vol. 21, pp. 241-251, 2012.
  27. [DIET-12a]T. Dietenbeck, Alessandrini, M., Barbosa, D. C., D'hooge, J., Friboulet, D., and Bernard, O., “Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set”, Medical Image Analysis, vol. 16, pp. 386-401, 2012.
  28. [VAND-12]J. Vandemeulebroucke, Bernard, O., Rit, S., Kybic, J., Clarysse, P., and Sarrut, D., “Automated Segmentation of a Motion Mask to Preserve Sliding Motion in Deformable Registration of Thoracic CT”, Medical Physics, vol. 39, pp. 1006-1015, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Vandemeulebroucke2012.pdf
  29. [ALES-11a]M. Alessandrini, Dietenbeck, T., Basset, O., Friboulet, D., and Bernard, O., “Using a geometric formulation of annular-like shape priors for constraining variational level-sets”, Pattern Recognition Letters, vol. 32, pp. 1240–1249, 2011.
  30. [ALES-11b]M. Alessandrini, Maggio, S., Porée, J., De Marchi, L., Speciale, N., Bernard, O., and Basset, O., “A Restoration Framework for Ultrasonic Tissue Characterization”, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency, vol. 58, pp. 2344-2360, 2011.
  31. [TOUI-10]B. Touil, Basarab, A., Delachartre, P., Bernard, O., and Friboulet, D., “Analysis of motion tracking in echocardiographic image sequences: influence of system geometry and point-spread function”, Ultrasonics, vol. 50, pp. 373-386, 2010.
  32. [BERN-09a]O. Bernard, Friboulet, D., Thevenaz, P., and Unser, M., “Variational B-Spline Level-Set: A Linear Filtering Approach for Fast Deformable Model Evolution”, IEEE Transactions on Image Processing, vol. 18, pp. 1179–1191, 2009.
  33. [BERN-07]O. Bernard, Touil, B., D'hooge, J., and 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, vol. 54, pp. 2189-2194, 2007.
  34. [GELA-07]A. Gelas, Bernard, O., Friboulet, D., and Prost, R., “Compactly supported radial basis functions based collocation method for level-set evolution in image segmentation”, IEEE Trans Image Proces, vol. 16, pp. 1873-1887, 2007.
  35. [BERN-06a]O. Bernard, D'hooge, J., and Friboulet, D., “Statistics of the Radio-Frequency Signal Based on K Distribution with Application to Echocardiography”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 53, pp. 1689-1694, 2006.
  36. [DYDE-06]I. Dydenko, Jamal, F., Bernard, O., D'hooge, J., Magnin, I. E., and Friboulet, D., “A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography”, Med Image Anal, vol. 10, pp. 162-177, 2006.

Conference Paper

  1. [RODR-17]“The UltraSound ToolBox”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  2. [PEDR-17a]“Fast and Fully Automatic 3D Left Ventricular Segmentation Using Shape-Based B-Spline Explicit Active Surfaces”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  3. [LECL-17]“A fully automatic and multi-structural segmentation of the left ventricle and the myocardium on highly heterogeneous 2D echocardiographic data”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017, pp. 1-4.
  4. [ZHAN-17b]“Fourier-based 3D ultrafast ultrasound imaging with diverging waves: in vitro experiment validation”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017, pp. 1-4.
  5. [ZHAN-17a]“Fourier-based ultrafast ultrasound imaging based on In-phase Quadrature (IQ) data”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017, pp. 1-4.
  6. [ZHAN-16]“A Fourier-based formalism for 3D ultrafast imaging with diverging waves”, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  7. [BESS-16b]“Sparse regularization methods in ultrafast ultrasound imaging”, in European Signal Processing Conference (Eusipco), 2016, pp. 552-556.
  8. [LIEB-16]“Plane-Wave Imaging Challenge in Medical Ultrasound”, in IEEE International Ultrasonics Symposium, Tours, France, 2016.
  9. [LORI-15d]O. Lorintiu, Liebgott, H., Bernard, O., and Friboulet, D., “Sub-sampled Doppler ultrasound reconstruction using block sparse Bayesian learning”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
  10. [LORI-15c]O. Lorintiu, Liebgott, H., Bernard, A., Bernard, O., and Friboulet, D., “Compressed sensing reconstruction of line-wise sub-sampled 3D echographic images based on dictionary learning: an experimental study”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
  11. [ZHAN-15]M. Zhang, Besson, A., Carrillo, R. E., Varray, F., Liebgott, H., Thiran, J. - P., Friboulet, D., and Bernard, O., “Extension of Ultrasound Fourier Slice Imaging Theory to Sectorial Acquisition”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7329476&tag=1
  12. [CARR-15]R. E. Carrillo, Besson, A., Zhang, M., Friboulet, D., Wiaux, Y., Thiran, J. - P., and Bernard, O., “A sparse regularization approach for ultrafast ultrasound imaging”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
  13. [ALES-15b]M. Alessandrini, Heyde, B., S., G., Delingette, H., Sermesant, M., Allain, P., Bernard, O., De Craene, M., and D'hooge, J., “Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging”, in IEEE International Symposium on Biomedical Imaging (ISBI’ 15), New York, USA, 2015.
  14. [DECR-14]M. De Craene, Alessandrini, M., Allain, P., Marchesseau, S., Waechter-Stehle, I., Weese, J., Saloux, E., Morales, H. G., Cuingnet, R., Delingette, H., Sermesant, M., Bernard, O., and D'hooge, J., “Generation of ultra-realistic synthetic echocardiographic sequences”, in IEEE International Symposium on Biomedical Imaging (ISBI’ 14), Beijing, China, 2014.
  15. [ALME-14]N. Almeida, Barbosa, D., Heyde, B., Mada, R. O., Friboulet, D., Bernard, O., Samset, E., and D'hooge, J., “Semi-automatic left-atrial segmentation from volumetric ultrasound using B-spline explicit active surfaces”, in IEEE International Ultrasonics Symposium, 2014, pp. 612-615.
  16. [DIET-14b]T. Dietenbeck, Barbosa, D., Alessandrini, M., D'hooge, J., Friboulet, D., and Bernard, O., “A level-set approach for tracking image sequences using a level conservation constraint”, in IEEE International Conference on Image Processing (ICIP'14), 2014, pp. 863-866.
  17. [LORI-14]O. Lorintiu, Liebgott, H., Alessandrini, M., Bernard, O., and Friboulet, D., “Compressed sensing reconstruction of 3D ultrasound data using dictionary learning”, in IEEE International Conference on Image Processing (ICIP'14), 2014, pp. 1317-1321.
  18. [BARB-14b]D. Barbosa, Almeida, N., Bernard, O., Friboulet, D., Samset, E., and D'hooge, J., “Segmentation of the left atrium of the heart using B-spline explicit active surfaces (BEAS)”, in CETUS Challenge on Endocardial Three-dimensional Ultrasound Segmentation at MICCAI-2014, 2014.
  19. [ZHAN-14]M. Zhang, Liebgott, H., Varray, F., Friboulet, D., and Bernard, O., “Speckle Decorrelation of Motion in Ultrasound Fourier Images”, in IEEE International Ultrasonics Symposium, Chicago, USA, 2014, pp. 1203-1206.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6932257
  20. [BERN-14]O. Bernard, Zhang, M., Varray, F., Thiran, J. - P., Liebgott, H., and Friboulet, D., “Ultrasound Fourier Slice Imaging: a Novel Approach for Ultrafast Imaging Technique”, in IEEE International Ultrasonics Symposium, Chicago, USA, 2014, pp. 129-132.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6932218
  21. [DIET-13]T. Dietenbeck, Barbosa, D., Alessandrini, M., Jasaityte, R., Rosebyn, V., D'hooge, J., Bernard, O., and Friboulet, D., “Multiview myocardial tracking in echocardiographic 2D sequences using shape and motion constrained level-set”, in IEEE International Symposium on Biomedical Imaging (ISBI), San Fransisco, California, USA, 2013, pp. 1010-1013.
  22. [BARB-13c]D. Barbosa, Bernard, O., Heyde, B., Dietenbeck, T., Friboulet, D., and D'hooge, J., “Towards online real-time strain estimation: Feasibility Study and Initial Clinical Validation”, in IEEE International Ultrasonics Symposium, 2013, pp. 824-827.
  23. [ALES-13c]M. Alessandrini, Basarab, A., Liebgott, H., and Bernard, O., “Cardiac motion assessement from echocardiographic image sequences by means of the structure multivector”, in IEEE International Ultrasonics Symposium (IUS), Prague, Czech Respublic, 2013, p. accepted.
  24. [BARB-13e]D. Barbosa, Heyde, B., Dietenbeck, T., Friboulet, D., D'hooge, J., and Bernard, O., “Fast Left Ventricle Tracking in 3D Echocardiographic Data Using Anatomical Affine Optical Flow”, in Functional Imaging and Modeling of the Heart (FIMH'13), 2013, pp. 191-199.
  25. [BARB-13d]D. Barbosa, Bernard, O., Heyde, B., Dietenbeck, T., Friboulet, D., and D'hooge, J., “Hybrid Energy Approach for Real-time B-spline Explicit Active Tracking of Surfaces (heartBEATS)”, in IEEE International Ultrasonics Symposium, 2013, pp. 663-666.
  26. [LORI-13]O. Lorintiu, Liebgott, H., Bernard, O., and Friboulet, D., “Compressive Sensing Ultrasound Imaging using Overcomplete Dictionaries”, in IEEE International Ultrasonics Symposium, 2013, pp. 45-48.
  27. [QUEI-13]S. Queirós, Barbosa, D., Heyde, B., Morais, P., Friboulet, D., Claus, P., Bernard, O., and D'hooge, J., “Fast Fully Automatic Segmentation of the Myocardium in 2D cine MR Images”, in Functional Imaging and Modeling of the Heart (FIMH'13), 2013, pp. 71-79.
  28. [GALL-12]F. Galluzzo, Barbosa, D., Houle, H., Speciale, N., Friboulet, D., D'hooge, J., and Bernard, O., “A GPU Level-Set Segmentation Framework for 3D Echocardiography”, in IEEE International Ultrasonics Symposium, Dresden, Germany, 2012, pp. 2639-2642.
  29. [ALES-12b]M. Alessandrini, Liebgott, H., Friboulet, D., and Bernard, O., “Monogenic phase based myocardium motion analysis from cardiac ultrasound with transverse oscillations”, in IEEE International Ultrasonic Symposium (IUS), Dresden, Germany, 2012, pp. 1098-1101.
  30. [BARB-12e]D. Barbosa, Bernard, O., Heyde, B., Dietenbeck, T., Houle, H., Friboulet, D., and D'hooge, J., “B-spline Explicit Active Tracking of Surfaces (BEATS): Application to real-time 3D segmentation and tracking of the left ventricle in 3D echocardiography”, in IEEE International Ultrasonics Symposium, Dresden, Germany, 2012, pp. 224-227.
  31. [FLOR-12a]L. Flórez-Valencia, Dávila Serrano, E. E., Riveros Reyes, J. G., Bernard, O., Latt, J., Malaspinas, O., Chopard, B., Courbebaisse, G., and Orkisz, M., “Virtual deployment of pipeline flow diverters in cerebral vessels with aneurysms to understand thrombosis”, in MICCAI-Workshop on Computer Assisted Stenting, Nice, France, 2012, pp. 49-56 (electronic proc.).
  32. [ALES-12c]M. Alessandrini, Liebgott, H., Friboulet, D., and Bernard, O., “Simulation of realistic echocardiographic sequences for ground truth validation of motion estimation”, in IEEE International Conference on Image Processing (ICIP), Orlando, USA, 2012, pp. 2329-2332.
  33. [BIBI-12]D. Bibicu, Barbosa, D., Heyde, B., Friboulet, D., Bernard, O., Moraru, L., Claus, P., and D'hooge, J., “An integrated solution for semi-automatic segmentation of volumetric ultrasound data based on B-spline explicit active surfaces”, in IEEE International Ultrasonics Symposium, Dresden, Germany, 2012, pp. 2643-2646.
  34. [ALES-12d]M. Alessandrini, Liebgott, H., Basarab, A., Clarysse, P., and Bernard, O., “Monogenic signal for cardiac motion analysis from tagged magnetic resonance image sequences”, in Computing in Cardiology, Krakov, Poland, 2012, pp. 685-688.
  35. [BARB-12b]D. Barbosa, Dietenbeck, T., Friboulet, D., D’hooge, J., and Bernard, O., “Fast and fully automatic 3D echocardiographic segmentation using B-spline explicit active surfaces”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 1088-1091 .
  36. [ALES-12]M. Alessandrini, Liebgott, H., and Bernard, O., “Monogenic phase based optical flow computation for myocardial motion analysis in 3D echocardiography”, in STACOM workshop at MICCAI 2012, Nice, 2012, p. in press.
  37. [GALL-12b]F. Galluzzo, Speciale, N., Courbebaisse, G., and Bernard, O., “A rigorous and efficient GPU implementation of level-set sparse field algorithm”, in IEEE International Conference On Image Processing, Orlando, Florida, 2012, pp. 1705-1708 .
  38. [MAGG-11]S. Maggio, Alessandrini, M., Speciale, N., Bernard, O., Vray, D., Basset, O., and Unser, M., “Continuous domain ARMA modeling for ultrasound tissue characterization”, in IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, USA, 2011.
  39. [BARB-11d]D. C. Barbosa, Dietenbeck, T., Bernard, O., Friboulet, D., Houle, H., and D'hooge, J., “Fast 3D Echocardiographic Segmentation using B-Spline Explicit Active Surfaces: A validation study in a clinical setting”, in IEEE International Ultrasonics Symposium, 2011, pp. 1854-1857.
  40. [BARB-11b]D. C. Barbosa, D’hooge, J., Dietenbeck, T., Friboulet, D., and Bernard, O., “Towards real-time 3D region-based segmentation: B-spline explicit active surfaces”, in IEEE International Conference on Image Processing (ICIP'2011), 2011, pp. 3121-3124.
  41. [ALES-11]M. Alessandrini, Maggio, S., Porée, J., De Marchi, L., Speciale, N., Franceschini, E., Bernard, O., and Basset, O., “An expectation maximization framework for an improved tissue characterization using ultrasounds”, in SPIE Medical Imaging, Orlando, USA, 2011.
  42. [DIET-11]T. Dietenbeck, Alessandrini, M., Barbosa, D. C., D'hooge, J., Friboulet, D., and Bernard, O., “Multiview myocardial segmentation in echocardiographic images using a piecewise parametric shape prior”, in IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, USA, 2011, pp. 645-648.
  43. [BARB-11a]D. C. Barbosa, Dietenbeck, T., Friboulet, D., D'hooge, J., and Bernard, O., “Real-time region-based segmentation of 3D inhomogeneous objects in medical images”, in IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, USA, 2011, pp. 1986-1989.
  44. [DOUZ-11]F. Douziech, Liebgott, H., Bernard, O., and Basarab, A., “Affine phase based motion estimation applied to echocardiography”, in IEEE International Ultrasonic Symposium, Orlando, USA, 2011, pp. 736-739.
  45. [ALES-10b]M. Alessandrini, Dietenbeck, T., Basset, O., Friboulet, D., and Bernard, O., “Using a geometric formulation of annular-like shape priors for constraining variational level-sets”, in IEEE International Conference on Image Processing (ICIP'2010), Hong Kong, China, 2010, pp. 669-672.
  46. [DIET-10]T. Dietenbeck, Alessandrini, M., Friboulet, D., and Bernard, O., “CREASEG: A free software for the evaluation of image segmentation algorithms based on level-set”, in IEEE International Conference on Image Processing (ICIP'2010), Hong Kong, China, 2010, pp. 665-668.
  47. [BARB-10]D. C. Barbosa, Bernard, O., Savu, O., Dietenbeck, T., Heyde, B., Claus, P., Friboulet, D., and D'hooge, J., “Coupled B-spline Active Geometric Functions for Myocardial Segmentation in Cardiac Ultrasound”, in IEEE International Ultrasonics Symposium, San Diego, California, USA, 2010, pp. 1648-1651.
  48. [ALES-10a]M. Alessandrini, Dietenbeck, T., Barbosa, D. C., D'hooge, J., Basset, O., Speciale, N., Friboulet, D., and Bernard, O., “Segmentation of the Full Myocardium in Echocardiography Using Constrained Level-Sets”, in Computing in Cardiology (CinC 2010), Belfast, UK, 2010, pp. 409-412.
  49. [VAND-10b]J. Vandemeulebroucke, Bernard, O., Kybic, J., Clarysse, P., and Sarrut, D., “Automatic motion mask extraction for deformable registration of the lungs”, in XVIth International Conference on the Use of Computers in Radiation Therapy, Amsterdam, 2010.PDF icon vandemeulebroucke2010a.pdf (862.78 KB)
  50. [BERN-09b]O. Bernard and Friboulet, D., “Fast medical image segmentation through an approximation of narrow-band B-spline level-set and multiresolution”, in IEEE International Symposium on Biomedical Imaging (ISBI), Boston, Massachusetts, USA, 2009, pp. 45-48.
  51. [TOUI-09]B. Touil, Basarab, A., Bernard, O., and Friboulet, D., “Influence of system geometry on motion tracking in echocardiographic image sequences”, in IEEE International Symposium on Biomedical Imaging (ISBI), Boston, Massachusetts, USA, 2009, pp. 1150-1153.
  52. [ALES-09a]M. Alessandrini, Friboulet, D., Basset, O., D'hooge, J., and Bernard, O., “Level-set segmentation of myocardium and epicardium in ultrasound images using localized Bhattacharyya distance”, in IEEE International Ultrasonics Symposium, Roma, Italy, 2009, pp. 2468-2471.
  53. [CAMA-08b]S. Camarasu-Pop, Benoit-Cattin, H., Guigues, L., Clarysse, P., Bernard, O., and Friboulet, D., “Towards a Virtual Radiological Platform Based on a Grid Infrastructure”, in Medical imaging on grids: achievements and perspectives (MICCAI Grid Workshop), New York, USA, 2008, pp. 85-95.
  54. [SARO-08]L. Saroul, Bernard, O., Vray, D., and Friboulet, D., “Prostate segmentation in echographic images: a variational approach using deformable super-ellipse and Rayleigh distribution”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 129–132.
  55. [BERN-08]O. Bernard, Friboulet, D., Thevenaz, P., and Unser, M., “Variational B-spline level-set method for fast image segmentation”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 177–180.
  56. [LIEB-08b]H. Liebgott, Basarab, A., Marincas, S., Bernard, O., and Friboulet, D., “Tangential oscillations for motion estimation in echocardiography”, in IEEE International Ultrasonics Symposium, Beijing, China, 2008, pp. 1761-1764.
  57. [TOUI-08]B. Touil, Bernard, O., and Friboulet, D., “Motion decorrelation in echocardiography: Analysis from a realistic simulation”, in IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008, pp. 1469–1472.
  58. [LIEB-07b]H. Liebgott, Bernard, O., Cachard, C., and Friboulet, D., “Field simulation parameters design for realistic statistical parameters of Radio-Frequency ultrasound images”, in IEEE International Ultrasonics Symposium, New-York, USA, 2007, pp. 2247-2250.
  59. [BERN-07b]O. Bernard, Touil, B., Gelas, A., Prost, R., and Friboulet, D., “A RBF-based multiphase level set method for segmentation in echocardiography using the statistics of the radiofrequency signal”, in IEEE International Conference on Image Processing ICIP'07, 2007, vol. 3, pp. 157-160.
  60. [BERN-07a]O. Bernard, Touil, B., Gelas, A., Prost, R., and Friboulet, D., “Segmentation of myocardial regions in echocardiography using the statistics of the radio-frequency signal”, in Functional Imaging and Modeling of the Heart, FIMH'07, Salt Lake City, UT, USA, 2007, vol. 4466, pp. 433-442.
  61. [GELA-07a]A. Gelas, Schaerer, J., Bernard, O., Friboulet, D., Clarysse, P., Magnin, I. E., and Prost, R., “Radial Basis Functions Collocation Methods For Model-Based Level-set Segmentation”, in IEEE International Conference on Image Processing (ICIP), San Antonio, TX, USA, 2007, vol. 2, pp. 237-240.
  62. [BERN-06c]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical modeling of the radio-frequency signal in echocardiographic images using modified K-distribution and Generalized Gaussian distribution”, in IEEE International Ultrasonics Symposium, Vancouver, Canada, 2006, pp. 1710–1713.
  63. [BERN-06e]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical Modeling of the Radio-Frequency Signal in Echocardiographic Images Based on Generalized Gaussian Distribution”, in IEEE International Symposium on Biomedical on Image Processing (ISBI), Washington, USA, 2006, pp. 153-156.
  64. [44612]O. Bernard, D'hooge, J., and Friboulet, D., “Statistical modelling of the radio-frequency signal in echocardiographic images based on generalized Gaussian distribution”, in IEEE International Symposium on Biomedical Imaging (ISBI’ 06), Virginia, USA, 2006, pp. pp. 153-156.

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