Exporter 73 résultats :
In Press
  1. [ROBI-13c] M. Robini, N. Freud, and J. M. Letang, "Efficient simulated annealing for full inverse treatment planning", IEEE Medical Imaging Conference, Seoul (South Korea), In Press.
  1. [DIAR-14] B. Diarra, M. Robini, E. Roux, P. Tortoli, H. Liebgott, and C. Cachard, "Optimization of free-moving elements in 2D ultrasound sparse arrays", IEEE International Ultrasonics Symposium, Chicago, Illinois, USA, accepted, 2014.
  2. [Ozon-14] M. Ozon, M. Robini, and Y. M. Zhu, "Global DT-MRI Tractography Using Elastic Graphs", IEEE EMBC, Chicago, USA, pp. 26-30, 2014.
  3. [Robi-14] M. Robini, and Y. M. Zhu, "Nonconvex half-quadratic image reconstruction with wavelet-domain sparsity constraints", International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, USA, pp. 1p, 2014.
  1. [DIAR-13b] B. Diarra, M. Robini, H. Liebgott, C. Cachard, and P. Tortoli, "Variable-size elements in 2D sparse arrays for 3D medical ultrasound", IEEE International Ultrasonics Symposium, Prague, Czech Republic, pp. 508-511, 2013 .
  2. [DIAR-13a] B. Diarra, M. Robini, P. Tortoli, C. Cachard, and H. Liebgott, "Design of optimal 2-D non-grid sparse arrays for medical ultrasound", IEEE Transactions on Biomedical Engineering, vol. 60, no. 11, pp. 3093 - 3102 , 11/2013 .
  3. [FRIN-13b] C. Frindel, D. Rousseau, and M. Robini, "Approche 3D spatio-temporelle pour la déconvolution en imagerie de perfusion du cerveau", GRETSI '13 : 24ème colloque GRETSI sur le Traitement du Signal et des Images, Brest, France, 09/2013.
  4. [BAO-13] L. Bao, M. Robini, W. Y. Liu, and Y. M. Zhu, "Structure-adaptive sparse denoising for diffusion-tensor MRI", Medical Image Analysis, vol. 17, no. 4, pp. 442-457, 2013.
  5. [OZON-13] M. Ozon, M. Robini, P. Croisille, C. Frindel, and Y. M. Zhu, "Toward temporal fiber", Computing in Cardiology, Zaragoza (Spain), pp. 567-570, 2013.
  1. [YANG-12] F. Yang, Y. M. Zhu, M. Robini, and P. Croisille, "DT-MRI interpolation: at what level?", IEEE Int. Conf. Signal Processing, Beijing (China), pp. 737-740, 2012.
  2. [ROBI-12d] M. Robini, "A generalized simulated annealing approach to image reconstruction", 6th SIAM conf. on Imaging Science, Philadelphia (Pennsylvania), pp. 115, 2012.
  3. [ROBI-12] M. Robini, Y. M. Zhu, and J. H. Luo, "A generic half-quadratic algorithm for signal reconstruction", 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham (UK), pp. 1-4, 2012.
  4. [ROBI-12f] M. Robini, "Graph drawing by stochastic continuation", Int. Conf. Computer Graphics and Virtual Reality, Las Vegas (Nevada), pp. 33-39, 2012.
  5. [ROBI-12c] M. Robini, and P. - J. Viverge, "Image reconstruction with multiresolution edge-continuation and non-quadratic data fidelity", 6th SIAM conf. on Imaging Science, Philadelphia (Pennsylvania), pp. 115, 2012.
  6. [LI-12] H. Y. Li, M. Robini, F. Yang, and Y. M. Zhu, "A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI", IEEE Int. Symp. Biomedical Imaging, Barcelona (Spain), pp. 9-13, 2012 .
  7. [ROBI-12b] M. Robini, "Theoretically grounded acceleration techniques for simulated annealing", Handbook of Optimization, From Classical to Modern Approach: Springer, pp. 311-336, 2012.
  1. [ROBI-11c] M. Robini, P. - J. Viverge, Y. M. Zhu, and J. H. Luo, "Globally convergent edge-preserving reconstruction with contour-line smoothing", 7th Int. Conf. Pattern Recognition and Computer Vision, Amsterdam (Netherlands), pp. 885-890, 2011.
  2. [YANG-11] F. Yang, Y. M. Zhu, S. Rappachi, J. H. Luo, M. Robini, and P. Croisille, "Interpolation of vector fields from human cardiac DT-MRI", Physics in Medicine and Biology, vol. 56, no. 5, pp. 1415-1430, 2011.
  3. [ROBI-11b] M. Robini, F. Smekens, and B. Sixou, "Optimal inverse treatment planning by stochastic continuation", IEEE Int. Symp. Biomedical Imaging (ISBI-11), Chicago (Illinois), pp. 1792-1796, 2011.
  1. [ROBI-10] M. Robini, and I. E. Magnin, "Optimization by stochastic continuation", SIAM Journal on Imaging Sciences, vol. 3, no. 4, pp. 1096-1121, 2010.
  2. [ROBI-10b] M. Robini, and J. - P. Labruyère, "Efficient implicit smoothing of contour lines for image reconstruction", 5th SIAM conf. on Imaging Science, Chicago (Illinois), pp. 100, 2010.
  1. [ROBI-09] M. Robini, P. - J. Viverge, Y. M. Zhu, and I. E. Magnin, "Edge-preserving image reconstruction with wavelet-domain edge continuation", Proc. 6th Int. Conf. Image Analysis and Recognition, Halifax, Canada, pp. 13-22, July, 2009.
  1. [FRIN-08] C. Frindel, P. Gueth, P. Clarysse, Y. M. Zhu, and M. Robini, "A global approach to cardiac tractography", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, pp. 883–886, May, 2008 .
  2. [ROBI-08] M. Robini, and I. E. Magnin, "Stochastic continuation", 4th SIAM conf. on Imaging Science, San Diego (California), pp. 134, 2008.
  1. [NJIWA-07] J. Y. Njiwa, Y. M. Zhu, M. Robini, and I. E. Magnin, "Magnetic Resonance Image Reconstruction Using Analytic Image Representation", Nuclear Instruments and Methods in Physics Research A, vol. 571, pp. 73-76, 2007.
  2. [ROBI-07b] M. Robini, A. Lachal, and I. E. Magnin, "A Stochastic Continuation Approach to Piecewise Constant Reconstruction", IEEE Trans Image Proces, vol. 16, no. 10, pp. 2576-2589, 2007.
  3. [ROBI-07a] M. Robini, and I. E. Magnin, "Stochastic Continuation. Opening new horizons to solving difficult optimization problems", Proc. 14th IEEE Workshop on Statistical Signal Processing, Madison, Wisconsin, pp. 264-268, 2007.
  1. [YANK-06a] J. Yankam Njiwa, Y. M. Zhu, M. Robini, and I. E. Magnin, "Magnetic resonance image reconstruction using the notion of analytic image", EUROMEDIM Conference(Euromedim 2006), Marseille, France, pp. 73-76, May, 2006.
  2. [ROBI-06] M. Robini, and I. E. Magnin, "Piecewise constant reconstruction using a stochastic continuation approach", IEEE Int. Symp. Signal Processing and Information Technology, Vancouver, Canada, pp. 874-878, 2006.
  1. [JARR-03] A. Jarrot, H. Liebgott, P. Delachartre, and M. Robini, "Edge-Preserving reconstruction for Young's modulus recovery from ultrasonic data", IEEE Ultrasonics Symposium, Honolulu, Hawaii, USA, pp. 1919-1922, 2003 .
  2. [ROBI-03] M. Robini, and I. E. Magnin, "Stochastic nonlinear image restoration using the wavelet transform", IEEE Trans Image Proces, vol. 12, no. 8, pp. 890-905, 2003.
  1. [ROBI-99] M. Robini, and I. E. Magnin, "3-D reconstruction from a few radiographs using the Metropolis dynamics with annealing", IEEE International Conference on Image Processing ICIP'99, vol. III, Kobe, Japan, pp. 876-880, 1999.
  2. [ROBI-99b] M. Robini, T. Rastello, and I. E. Magnin, "Simulated annealing, acceleration techniques and image restoration", IEEE Trans Image Proces, vol. 8, no. 10, pp. 1374–1387, 1999.
  1. [ROBI-98b] M. Robini, Inversion bayesienne et algorithmes stochastiques de types recuit. Application à la restauration d'images et à la recontruction 3-D à partir d'un nombre très limité de projections, : INSA Lyon, 1998.

    Barlaud M. (rap.), Chassery J.M., Geman D. (rap.), Jousselin A., Magnin I.E. (dir.), Preteux F. (rap.) et Prost R.

  2. [ROBI-98] M. Robini, and I. E. Magnin, "Simulated annealing based shift-variant image restoration using the multiresolution wavelet transform", IEEE Int. Conf. Image Processing, vol. 1, Chicago, Illinois, USA, pp. 560–564, 1998.
  1. [ROBI-95b] M. Robini, I. E. Magnin, H. Benoit-Cattin, and A. Baskurt, "Application of the wavelet packet transform to flaw detection in ultrasound B-scans", IEEE Ultrasonics Symposium, vol. 1, Seattle, Washington, USA, pp. 747–750, 1995.
  2. [ROBI-95a] M. Robini, I. E. Magnin, and B. Lavayssière, "Wavelet packets based flaw detection in Ultrasonic B-scan images", International Conference on Quality Control by Artificial Vision, Le Creusot, France, pp. 37–47, 1995.