Export 115 results:

Journal Article

  1. [PAPA-17]Standardized delineation of endocardial boundaries in 3D left ventricular echocardiograms, Journal of the American Society of Echocardiography, p. accepted, 2017.
  2. [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.
  3. [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.
  4. [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.
  5. [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.

Conference Paper

  1. [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.
  2. [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.
  3. [RODR-17]The UltraSound ToolBox, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  4. [ZHAN-16]A Fourier-based formalism for 3D ultrafast imaging with diverging waves, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  5. [BESS-16b]Sparse regularization methods in ultrafast ultrasound imaging, in European Signal Processing Conference (Eusipco), 2016, pp. 552-556.
  6. [LIEB-16]Plane-Wave Imaging Challenge in Medical Ultrasound, in IEEE International Ultrasonics Symposium, Tours, France, 2016.
  7. [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.
  8. [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 .
  9. [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.
  10. [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.
  11. [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.
  12. [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)
  13. [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.
  14. [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.
  15. [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.
  16. [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.
  17. [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.
  18. [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.
  19. [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.
  20. [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.
  21. [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.
  22. [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.

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