Export 78 results:

Journal Article

  1. [ROUX-17]Wideband 2D array design optimization with fabrication constraints for 3D US imaging, IEEE Transactions on Ultrasonics Ferroelectrics an Frequency Control, vol. 64, 2017.
  2. [DIAR-13a]B. Diarra, Robini, M., Tortoli, P., Cachard, C., and Liebgott, H., Design of optimal 2-D non-grid sparse arrays for medical ultrasound, IEEE Transactions on Biomedical Engineering, vol. 60, pp. 3093 - 3102 , 2013.
  3. [ROBI-10]M. Robini and Magnin, I. E., Optimization by stochastic continuation, SIAM Journal on Imaging Sciences, vol. 3, pp. 1096-1121, 2010.
  4. [NJIWA-07]J. Y. Njiwa, Zhu, Y. M., Robini, M., and Magnin, I. E., Magnetic Resonance Image Reconstruction Using Analytic Image Representation, Nuclear Instruments and Methods in Physics Research A, vol. 571, pp. 73-76, 2007.

Conference Paper

  1. [ROBI-13c]M. Robini, Freud, N., and Létang, J. M., Efficient simulated annealing for full inverse treatment planning, in IEEE Medical Imaging Conference, Seoul (South Korea), In Press.
  2. [ROUX-17c]Validation of optimal 2D sparse arrays in focused mode phantom experiments, in IEEE International Ultrasonics Symposium, Washington, USA, 2017.
  3. [DIAR-16]Comparison of different optimized irregular sparse 2D ultrasound arrays , in IEEE International Ultrasonics Symposium, Tours, France., 2016, pp. 1-4.
  4. [DIAR-14]B. Diarra, Robini, M., Roux, E., Tortoli, P., Liebgott, H., and Cachard, C., Optimization of free-moving elements in 2D ultrasound sparse arrays, in IEEE International Ultrasonics Symposium, Chicago, Illinois, USA, 2014, pp. 2189–2192.
  5. [Robi-14]M. Robini and Zhu, Y. M., Nonconvex half-quadratic image reconstruction with wavelet-domain sparsity constraints, in International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, USA, 2014, p. 1p.
  6. [OZON-13]M. Ozon, Robini, M., Croisille, P., Frindel, C., and Zhu, Y. M., Toward temporal fiber, in Computing in Cardiology, Zaragoza (Spain), 2013, pp. 567-570.
  7. [FRIN-13b]C. Frindel, Rousseau, D., and Robini, M., Approche 3D spatio-temporelle pour la déconvolution en imagerie de perfusion du cerveau, in GRETSI '13 : 24ème colloque GRETSI sur le Traitement du Signal et des Images, Brest, France, 2013.
  8. [ROBI-12]M. Robini, Zhu, Y. M., and Luo, J. H., A generic half-quadratic algorithm for signal reconstruction, in 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham (UK), 2012, pp. 1-4.
  9. [ROBI-12f]M. Robini, Graph drawing by stochastic continuation, in Int. Conf. Computer Graphics and Virtual Reality, Las Vegas (Nevada), 2012, pp. 33-39.
  10. [ROBI-12d]M. Robini, A generalized simulated annealing approach to image reconstruction, in 6th SIAM conf. on Imaging Science, Philadelphia (Pennsylvania), 2012, p. 115.
  11. [YANG-12]F. Yang, Zhu, Y. M., Robini, M., and Croisille, P., DT-MRI interpolation: at what level?, in IEEE Int. Conf. Signal Processing, Beijing (China), 2012, pp. 737-740.
  12. [ROBI-11c]M. Robini, Viverge, P. - J., Zhu, Y. M., and Luo, J. H., Globally convergent edge-preserving reconstruction with contour-line smoothing, in 7th Int. Conf. Pattern Recognition and Computer Vision, Amsterdam (Netherlands), 2011, pp. 885-890.
  13. [ROBI-11b]M. Robini, Smekens, F., and Sixou, B., Optimal inverse treatment planning by stochastic continuation, in IEEE Int. Symp. Biomedical Imaging (ISBI-11), Chicago (Illinois), 2011, pp. 1792-1796.
  14. [ROBI-10b]M. Robini and Labruyère, J. - P., Efficient implicit smoothing of contour lines for image reconstruction, in 5th SIAM conf. on Imaging Science, Chicago (Illinois), 2010, p. 100.
  15. [ROBI-09]M. Robini, Viverge, P. - J., Zhu, Y. M., and Magnin, I. E., Edge-preserving image reconstruction with wavelet-domain edge continuation, in Proc. 6th Int. Conf. Image Analysis and Recognition, Halifax, Canada, 2009, pp. 13-22.
  16. [ROBI-08]M. Robini and Magnin, I. E., Stochastic continuation, in 4th SIAM conf. on Imaging Science, San Diego (California), 2008, p. 134.
  17. [FRIN-08]C. Frindel, Gueth, P., Clarysse, P., Zhu, Y. M., and Robini, M., A global approach to cardiac tractography, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 883–886.
  18. [ROBI-07a]M. Robini and Magnin, I. E., Stochastic Continuation. Opening new horizons to solving difficult optimization problems, in Proc. 14th IEEE Workshop on Statistical Signal Processing, Madison, Wisconsin, 2007, pp. 264-268.
  19. [ROBI-06]M. Robini and Magnin, I. E., Piecewise constant reconstruction using a stochastic continuation approach, in IEEE Int. Symp. Signal Processing and Information Technology, Vancouver, Canada, 2006, pp. 874-878.
  20. [ROBI-99]M. Robini and Magnin, I. E., 3-D reconstruction from a few radiographs using the Metropolis dynamics with annealing, in IEEE International Conference on Image Processing ICIP'99, Kobe, Japan, 1999, vol. III, pp. 876-880.
  21. [ROBI-98]M. Robini and Magnin, I. E., Simulated annealing based shift-variant image restoration using the multiresolution wavelet transform, in IEEE Int. Conf. Image Processing, Chicago, Illinois, USA, 1998, vol. 1, pp. 560–564.
  22. [ROBI-97b]M. Robini, Rastello, T., Vray, D., and Magnin, I. E., Space-variant deconvolution for synthetic aperture imaging using simulated annealing, in IEEE Int Conf Image Processing, Santa Barbara, California, USA, 1997, vol. 1, pp. 432–435.
  23. [ROBI-95a]M. Robini, Magnin, I. E., and Lavayssière, B., Wavelet packets based flaw detection in Ultrasonic B-scan images, in International Conference on Quality Control by Artificial Vision, Le Creusot, France, 1995, pp. 37–47.

Book Chapter

  1. [ROBI-12b]M. Robini, Theoretically grounded acceleration techniques for simulated annealing, in Handbook of Optimization, From Classical to Modern Approach, I. Zelinka, Snasel, V., and Abraham, A. Springer, 2012, pp. 311-336.