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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. [GASS-17]“High-Quality Plane Wave Compounding using Convolutional Neural Networks”, IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 64, pp. 1637-1639, 2017.
  3. [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.
  4. [LORI-16]O. Lorintiu, Liebgott, H., and Friboulet, D., “Compressed sensing Doppler ultrasound reconstruction using block sparse Bayesian learning”, IEEE Transactions on Medical Imaging, vol. 35, pp. 978-987, 2016.
  5. [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/
  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. [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/
  8. [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.
  9. [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.
  10. [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.
  11. [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.
  12. [GIBA-14]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “OntoVIP: an ontology for the annotation of object models used for medical image simulation”, Journal of Biomedical Informatics, vol. 52, pp. 279-292, 2014.
  13. [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.
  14. [GUO-14]X. Guo, Liebgott, H., and Friboulet, D., “Back-propagation beamformer design for motion estimation in echocardiography”, Ultrasonic Imaging, vol. 37, pp. 179-204, 2014.
  15. [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.
  16. [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.
  17. [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)
  18. [LIEB-13]H. Liebgott, Prost, R., and Friboulet, D., “Pre-beamformed RF signal reconstruction in medical ultrasound using compressive sensing”, Ultrasonics, vol. 53, pp. 525–533, 2013.
  19. [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.
  20. [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.
  21. [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.
  22. [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.
  23. [COOP-10]J. Cooper, Cervenansky, F., De Fabritiis, G., Fenner, J., Friboulet, D., Giorgino, T., Manos, S., Martelli, Y., Villa-Freixa, J., Zasada, S., Lloyd, S., McCormack, K., and Coveney, P., “The Virtual Physiological Human ToolKit”, Philosophical transactions of the royal society A, vol. 368, pp. 3925-3936, 2010.
  24. [LIEB-10a]H. Liebgott, Basarab, A., Gueth, P., Friboulet, D., and Delachartre, P., “Transverse oscillations for tissue motion estimation”, Ultrasonics, vol. 50, pp. 548-555, 2010.
  25. [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.
  26. [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.
  27. [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.
  28. [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.
  29. [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.
  30. [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.
  31. [DYDE-05]I. Dydenko, Durning, B., Jamal, F., Cachard, C., and Friboulet, D., “An autoregressive model-based method for contrast agent detection in ultrasound radiofrequency images”, Ultrasonic Imaging, vol. 27, pp. 37-53, 2005.
  32. [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.
  33. [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.
  34. [CLAR-00a]P. Clarysse, Basset, C., Khouas, L., Croisille, P., Friboulet, D., Odet, C., and Magnin, I. E., “2D spatial and temporal displacement field fitting from cardiac MR tagging”, Med Image Anal, pp. 253-268, 2000.
  35. [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.
  36. [KHOU-98a]L. Khouas, Clarysse, P., Friboulet, D., and Odet, C., “Fast 2D vector field visualization using a 2D texture synthesis based on an autoregressive filter. Application to cardiac imaging”, Mach Graph Vision, vol. 7, pp. 751-764, 1998.
  37. [CLAR-97a]P. Clarysse, Friboulet, D., and Magnin, I. E., “Tracking geometrical descriptors on 3D deformable surfaces. Application to the left-ventricular surface of the heart”, IEEE Trans Med Imaging, vol. 16, pp. 392–404, 1997.
  38. [GORC-97a]J. M. Gorce, Friboulet, D., and Magnin, I. E., “Estimation of three-dimensional cardiac velocity fields : Assessment of a differential method and application to 3D CT data”, Med Image Anal, vol. 1, pp. 245–261, 1997.
  39. [FRIB-93b]D. Friboulet, Magnin, I. E., Mathieu, C., Pommert, A., and Hohne, K. H., “Assessment and visualization of the curvature of the left ventricle from 3D medical images”, Comput Med Imag Grap, vol. 17, pp. 257-262, 1993.
  40. [FRIB-92b]D. Friboulet, Magnin, I. E., and Revel, D., “Assessment of a model for overall left ventricular three-dimensional motion from MRI data”, Int J Card Imaging, vol. 8, pp. 175-190, 1992.

Conference Paper

  1. [BUJO-18b]“Jointly optimized modulation/filtering technique for pseudo-orthogonal binary sequences”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  2. [BUJO-18]“A Resolution Enhancement Technique for Ultrafast Coded Medical Ultrasound”, in European Signal Processing Conference (Eusipco), Rome, Italy, 2018, pp. 1-5.
  3. [BADE-18a]“Vortex ring phantom for investigation of ultrasound vector flow”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  4. [BADE-18]“Experimental cross-talk reduction for 3D multi-line transmission”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  5. [GHAZ-17]“Classification of Contrast Ultrasound Images: Improvement of the GMM Using Gaussian Filter”, in International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET), Beirut, Lebanon, 2017, pp. 1-4.
  6. [BUJO-17b]“Inverse Problem Approaches for Coded High Frame Rate Ultrasound Imaging”, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA., USA, 2017, pp. 1007-1011.
  7. [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.
  8. [BADE-17d]“Multi-line transmission for 3D ultrasound imaging: An experimental study”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  9. [BUJO-17c]“Simultaneous coded plane wave imaging: implementation on a research echograph”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  10. [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.
  11. [BADE-17a]“Doppler velocity estimation in 3D cardiac ultrafast ultrasound imaging: An in vitro study”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  12. [BESS-16b]“Sparse regularization methods in ultrafast ultrasound imaging”, in European Signal Processing Conference (Eusipco), 2016, pp. 552-556.
  13. [BADE-16]“A measure of confidence for phase-based motion estimator applied to 2D US-TO images”, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  14. [ZHAN-16]“A Fourier-based formalism for 3D ultrafast imaging with diverging waves”, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  15. [MART-15b]D. Martel, Langlois, J. B., Friboulet, D., Beuf, O., and Ratiney, H., “Spectroscopie 2D de corrélation : acquisition et méthode de quantification pour la détermination lipidique du foie dans un modèle de souris obèse”, in SFRMBM, Grenoble, France, 2015.
  16. [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
  17. [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.
  18. [MART-15a]D. Martel, Merhej, D., Friboulet, D., Prost, R., and Ratiney, H., “Quantification de signaux de spectroscopie 2D de corrélation échantillonnés irrégulièrement”, in SFRMBM, Grenoble, France, 2015.
  19. [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.
  20. [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.
  21. [MART-15d]D. Martel, Langlois, J., Friboulet, D., Beuf, O., and Ratiney, H., “2D Correlated MRS as a quantitative method to asses liver fatty acid composition of ob/ob mouse”, in ISMRM 23rd Annual Meeting & Exhibition, Toronto, Canada, 2015.
  22. [MART-15c]D. Martel, Merhej, D., Friboulet, D., Prost, R., and Ratiney, H., “Non uniform sampling for sparse 2D correlated MRS: a quantitative point of view”, in ISMRM 23rd Annual Meeting & Exhibition, Toronto, Canada, 2015.
  23. [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.
  24. [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.
  25. [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
  26. [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
  27. [MART-14a]D. Martel, Langlois, J. B., Friboulet, D., Beuf, O., and Ratiney, H., “Evaluation of 2D L-Cosy to study lipid composition in mouse fatty liver at 7T”, in Joint annual meeting ESMRMB-ISMRM, Milan, Italy, 2014.
  28. [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.
  29. [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.
  30. [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.
  31. [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.
  32. [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.
  33. [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.
  34. [MART-13a]D. Martel, Friboulet, D., Grenier, D., and Ratiney, H., “In vivo Transverse Relaxation Time measurements from Localized CT-COSY and JPRESS: a validation study”, in ISMRM, Salt-Lake City, USA, 2013, p. 3967.
  35. [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.
  36. [MART-13b]D. Martel, Friboulet, D., Grenier, D., and Ratiney, H., “Evaluation of Localized 2D-MRS (Correlation and J-Resolved) methods with respect to quantification purposes”, in ESMRMB, Toulouse, France, 2013, p. 47586.
  37. [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.
  38. [MART-12a]D. Martel, Roussel, T., Friboulet, D., Grenier, D., and Ratiney, H., “B0 field Mapping to improve prior knowledge in quantitative 2D-MR Spectroscopy”, in ESMRMB, Lisbon, Portugal, 2012, p. 393.PDF icon B0Inhomfor2DQ_soumissionfinale.pdf (1019.28 KB)
  39. [GUO-12b]X. Guo, Friboulet, D., and Liebgott, H., “Back-propagation based beamformer design for Transverse Oscillations in Echocardiography”, in Acoustics 2012, Nantes, France, 2012, pp. 1100-1103.
  40. [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.
  41. [MART-12]D. Martel, Roussel, T., Friboulet, D., Grenier, D., and Ratiney, H., “B0 field Mapping to improve prior knowledge in quantitative 2D-MR Spectroscopy”, in ESMRMB, Lisbone, Portugal, 2012, p. 393.
  42. [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.
  43. [MART-12b]D. Martel, Roussel, T., Friboulet, D., Grenier, D., and Ratiney, H., “Utilisation d’une carte d’inhomogénéités du champ statique B0 comme connaissance a priori en Spectroscopie de Résonance Magnétique quantitative bidimensionnelle”, in GDR Imagiv, Lyon, France, 2012, p. 9394.
  44. [GUO-12]X. Guo, Friboulet, D., and Liebgott, H., “Transverse oscillations beamformer design for sector scan using back-propagation”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 1100-1103.
  45. [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.
  46. [GIBA-12]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “OntoVIP: an ontology for the annotation of object models used for medical image simulation”, in IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), La Jolla, California, USA, 2012, pp. 110-119.
  47. [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 .
  48. [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.
  49. [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.
  50. [GLAT-12]T. Glatard, Marion, A., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Ferreira da Silva, R., Forestier, G., Gibaud, B., Lartizien, C., Liebgott, H., Moulin, K., and Friboulet, D., “Multi-modality image simulation with the virtual imaging platform: Illustration on cardiac MRI and echography”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 98-101.PDF icon isbi2012-vip.pdf (808.08 KB)
  51. [FORE-11]G. Forestier, Marion, A., Benoit-Cattin, H., Clarysse, P., Friboulet, D., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Tabary, J., and Gibaud, B., “Sharing object models for multi-modality medical image simulation: a semantic approach”, in The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011, pp. 1-6.PDF icon cbms2011.pdf (226.44 KB)
  52. [MARI-11b]A. Marion, Forestier, G., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Ferreira da Silva, R., Gibaud, B., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Specovius, S., Tabary, J., Valette, S., and Friboulet, D., “Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)”, in The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011, pp. 1-6.PDF icon cbms2011-multimod.pdf (726.29 KB)
  53. [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.
  54. [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.
  55. [RICH-11]J. Richy, Liebgott, H., Prost, R., and Friboulet, D., “Blood Velocity Estimation Using Compressed Sensing”, in IEEE International Ultrasonics Symposium, Orlando (USA), 2011, pp. 1427-1430.
  56. [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.
  57. [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.
  58. [FRIB-11a]D. Friboulet, Liebgott, H., and Prost, R., “Reconstruction de données RF ultrasonores par compressive sensing”, in GRETSI, Bordeaux, France, 2011.
  59. [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.
  60. [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.

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