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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. [PAPA-17]“Standardized delineation of endocardial boundaries in 3D left ventricular echocardiograms”, Journal of the American Society of Echocardiography, p. accepted, 2017.
  4. [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.
  5. [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.
  6. [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.
  7. [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.
  8. [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.
  9. [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.
  10. [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.
  11. [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.
  12. [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.
  13. [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.
  14. [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.
  15. [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.
  16. [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.
  17. [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.
  18. [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.
  19. [DYDE-03a]I. Dydenko, Friboulet, D., Gorce, J. M., D'hooge, J., Bijnens, B., and Magnin, I. E., “Towards ultrasound cardiac image segmentation based on the radiofrequency signal”, Med Image Anal, vol. 7, pp. 353-367, 2003.
  20. [GORC-02]J. M. Gorce, Friboulet, D., Dydenko, I., D'hooge, J., Bijnens, B., and Magnin, I. E., “Processing radiofrequency ultra-sound images : a robust method for local spectral features estimation by a spatially regularized parametric approach”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 49, pp. 1704–1719, 2002.
  21. [DHOO-99]J. D'hooge, Bijnens, B., Nuyts, J., Gorce, J. M., Friboulet, D., Thoen, J., Van De Werf, F., and Suetens, P., “Nonlinear propagation effects on broadband attenuation measurements and its implications for ultrasonic tissue characterization”, J Acoust Soc Am, vol. 106, pp. 1126-1133, 1999.

Conference Paper

  1. [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.
  2. [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.
  3. [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.
  4. [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.
  5. [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.
  6. [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.
  7. [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.
  8. [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.
  9. [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.
  10. [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.
  11. [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.
  12. [ZAHN-12c]G. Zahnd, Larsson, M., Gao, H., Sérusclat, A., Vray, D., and D'hooge, J., “A novel method to generate synthetic ultrasound data of the carotid artery based on in vivo observation as a tool to validate algorithm accuracy”, in IEEE Ultrasonics Symposium, Dresden (Germany), 2012.
  13. [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.
  14. [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.
  15. [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.
  16. [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.
  17. [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.
  18. [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.
  19. [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.
  20. [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.
  21. [LIEB-09]H. Liebgott, Ben Salem, A., Basarab, A., Gao, H., Claus, P., D'hooge, J., Delachartre, P., and Friboulet, D., “Tangential sound field oscillations for 2D motion estimation in echocardiography”, in IEEE International Ultrasonics Symposium, Roma, Italy, 2009, pp. 498–501.
  22. [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.
  23. [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.
  24. [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.
  25. [BERN-06d]O. Bernard, D'hooge, J., and Friboulet, D., “Segmentation of Echocardiographic Images based on Statistical Modelling of the Radio-Frequency”, in European Signal Processing Conference (Eusipco), Florence, Italy, 2006.
  26. [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.
  27. [BERN-05]O. Bernard, D'hooge, J., and Friboulet, D., “Segmentation d'images échocardiographiques par contours actifs implicites : exploitation de descripteurs statistiques de régions”, in GRETSI, Louvain-La-Neuve, Belgium, 2005, pp. 359-362.
  28. [DYDE-03d]I. Dydenko, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Segmentation and tracking of the cardiac muscle in echocardiographic sequences using a level set approach”, in IEEE Ultrasonics Symposium, Honolulu, Hawaii, USA, 2003, pp. 21-24.
  29. [DYDE-02]I. Dydenko, Chehbi, S., Friboulet, D., Clarysse, P., Magnin, I. E., D'hooge, J., and Bijnens, B., “Using an elastic deformable template for the segmentation of ultrasound cardiac radio frequency images based on the velocity information”, in IEEE International Ultrasonics Symposium, Munich, Germany, 2002, pp. 1706-1709.
  30. [GORC-98a]J. M. Gorce, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Spectral estimation for RF echographic images using regularized AR models”, in Proceedings 10th Congress of EFSUMB - Euroson'98, Tours, France, 1998, vol. 7, p. S59.
  31. [DHOO-98]J. D'hooge, Gorce, J. M., Bijnens, B., Friboulet, D., Nuyts, J., Thoen, J., Suetens, P., and Van De Werf, F., “Non linear propagation effect on broadband attenuation measurements”, in Proceedings IEEE International Ultrasonics Symposium, Sendai, Japan, 1998, pp. 1385-1388.
  32. [GORC-97c]J. M. Gorce, Friboulet, D., D'hooge, J., Bijnens, B., and Magnin, I. E., “Autoregressive models for a spectral estimation scheme dedicated to medical ultrasonic radio-frequency images”, in IEEE International Ultrasonics Symposium, Toronto, Canada, 1997, pp. 1461–1464.

Invited Conference

  1. [ALES-15c]M. Alessandrini, Basarab, A., De Craene, M., Sermesant, M., Liebgott, H., Bernard, O., and D'hooge, J., “The role of the image phase in cardiac strain imaging”. EUSIPCO, Submitted.
  2. [FRIB-14]“Segmentation d'images médicales : un parcours via l'imagerie échographique”, Journée "Panorama de techniques d'imagerie biomédicale" de la Communauté de Compétence Technique Traitement du Signal et des Images (CCT-TS) - CNES. Toulouse, France, 2014.
  3. [BERN-13]O. Bernard, Barbosa, D., Alessandrini, M., Friboulet, D., and D'hooge, J., “3D Echocardiography: recent advances and future directions”, VipIMAGE2013 - ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing. 2013.