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2011

  1. [ZULU-11b]M. A. Zuluaga, Hush, D., Delgado Leyton, E. J. F., Hernández Hoyos, M., and Orkisz, M., Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images, in Medical Image Computing and Computer Assisted Interventions - MICCAI , Toronto, Canada, 2011, vol. LNCS 6893, Part III, pp. 9-16.
  2. [MIL-11]Detection and segmentation of FMCW radar signals based on the chirplet transform, in Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011.
  3. [SUN-11]C. Y. SUN, Qin, X. S., Wang, L. H., and Zhu, Y. M., Recovering Missing Diffusion Signal Data for Reconstructing Fiber Orientations, in International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), SHANGHAI, China, 2011, pp. 238-242.
  4. [BASS-11]A. BASSI, Ducros, N., D'Andrea, C., Valentini, G., and Arridge, S., Novel approaches based on structured light for fast diffuse optical tomography, in Proc. SPIE 7896, 2011, vol. Optical Tomography and Spectroscopy of Tissue IX, p. 78961T-78961T-7.
  5. [BASA-11b]A. Basarab, Vidal, F., Abbal, R., Delachartre, P., Vayssiere, C., Léguevaque, P., and Kouamé, D., Motion estimation in ultrasound imaging applied to the diagnostic of pelvic floor disorders, in IEEE Engineering in Medicine and Biology Society Conference (EMBC 2011), Boston, USA, 30/08/2011-03/09/2011, 2011, pp. 8058 - 8061.
  6. [UDOB-11]O. Udobata, Revol-Muller, C., and Lartizien, C., Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory, in SPIE Medical Imaging 2011: Computer-Aided Diagnosis, , Lake Buena Vista, Florida, United States, 2011, p. Proceedings Vol. 7963 .
  7. [LOJA-11b]X. Lojacono, Maxim, V., and Prost, R., Calcul de la matrice des probabilités de transfert en imagerie Compton 3D, in XXIIIe Colloque GRETSI - Traitement du Signal et des Images (GRETSI'11), Bordeaux, France, 2011, p. ID432.PDF icon Lojacono_ID432_GRETSI2011.pdf (347.25 KB)
  8. [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.
  9. [SIXO-11]B. Sixou, Davidoiu, V., Langer, M., and Peyrin, F., Non-linear phase retrieval from Fresnel diffraction patterns using the Frechet derivative, in IEEE International Symposium on Biomedical Imaging - ISBI2011, Chicago, USA, 2011, pp. 1370–1373.
  10. [GIRA-11a]P. R. Girard, Pujol, R., Clarysse, P., Marion, A., Goutte, R., and Delachartre, P., Analytic Video (2D+T) Signals by Clifford Fourier Transforms in Multiquaternion Grassmann-Hamilton-Clifford Algebras, in 9th International Conference on Clifford Algebras and Their Applications in Mathematical Physics, Editor, K. Gürlebeck. , Weimar, Germany, 2011.
  11. [LI-11]T. Li, Grenier, T., and Benoit-Cattin, H., Color space influence on mean shift filtering, in Proceedings - International Conference on Image Processing, ICIP, Brussels, Belgium, 2011, pp. 1469 - 1472.
  12. [LANG-11]M. Langer, Molnar, F., Raum, K., Cancedda, R., and Peyrin, F., Phase synchrotron radiation micro-CT to investigate biomaterials and mineralized tissue, in Recherche en Imagerie et Technologies pour la Santé - RITS2011, Rennes, France, 2011.
  13. [SDIK-11a]M. Sdika, Tonson, A., Cozzone, P., and Bendahan, D., Multi Atlas Segmentation of Rat Leg Muscles, in 20th Annual meeting of the ISMRM, Montreal, Canada, 2011, p. 2562.
  14. [GIRA-11b]P. R. Girard, Multiquaternion Grassmann-Hamilton-Clifford Algebras in Physics and Engineering: A Short Historical Perspective, in 9th International Conference on Clifford Algebras and Their Applications in Mathematical Physics, Editor, K. Gürlebeck. , Weimar, Germany, 2011.
  15. [DIAR-11]B. Diarra, Liebgott, H., Tortoli, P., and Cachard, C., 2D matrix array optimization by simulated annealing for 3D hepatic imaging, in IEEE International Ultrasonics Symposium, Orlando, Florida,USA, 2011, pp. 1595-1598.
  16. [MOTT-11b]S. Mottin, Montcel, B., Guillet de Chatellus, H., Ramstein, S., Vignal, C., and Mathevon, N., Time-resolved and spectral-resolved optical imaging to study brain hemodynamics in songbirds, in European Conferences on Biomedical Optics, Munich, Germany, 2011, pp. Proceedings of SPIE, vol. 8088, p 8088-11.
  17. [HAUP-11]S. Haupert, Guerard, S., Mitton, D., Peyrin, F., and Laugier, P., Nonlinear ultrasound monitoring of fatigue microdamage accumulation in cortical bone, in IEEE Ultrasonics Symposium, Caribe Royale, Orlando, Florida, USA, 2011, pp. 1024-1027.
  18. [NIAF-11b]E. Niaf, Flamary, R., Lartizien, C., and Canu, S., Handling uncertainties in SVM classification, in IEEE Workshop on Statistical Signal Processing, 2011, pp. 757-760.
  19. [PERR-11]Mise en équation d’un capteur RMN bi-canaux , in Journées Nationales Microondes, Brest, Mai, 2011.
  20. [AUDE-11]M. Audette, Rivière, D., Ewend, M., Enquobahrie, A., and Valette, S., Approach-guided controlled resolution brain meshing for FE-based interactive neurosurgery simulation, in Workshop on Mesh Processing in Medical Image Analysis, in conjunction with MICCAI 2011., Toronto, Canada, 2011, p. 176--186.
  21. [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.
  22. [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.
  23. [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.
  24. [Wang-11]L. H. Wang, Zhu, Y. M., Li, H. Y., Liu, W. Y., and Magnin, I. E., Simulation of Diffusion Anisotropy In DTI for Virtual Cardiac Fiber Structure, in Functional Imaging and Modeling of the Heart (FIMH 2011), New York, 2011, pp. 95-104.PDF icon 66660095.pdf (561.83 KB)

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