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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. [[HOHW-18a]A constrained Gauss-Newton algorithm for material decomposition in spectral computed tomography, in Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, 2018, pp. 336–339.
  3. [MORY-18]Generalized least squares for spectral and dual energy CT: a simulation study, in Sixth international conference on image formation in X-ray computed tomography, Salt Lake City, USA, 2018, pp. 98–101.
  4. [LESA-18]GCC and FBCC for linear tomosynthesis, in Sixth international conference on image formation in X-ray computed tomography, Salt Lake City, USA, 2018, pp. 114–118.
  5. [ROUS-17a]Time-resolved wavelet-based acquisitions using a single-pixel camera, in SPIE Photonics West, San Francisco, 2017, pp. 1007016-1007016-7.
  6. [ABAS-17]Nonlinear material decomposition for x-ray spectral imaging using a bregman iterative approach, in Recherche en Imagerie et Technologies pour la Santé (RITS) 2017, 2017.
  7. [DUCR-17]Imagerie X spectrale: décomposition en base de matériaux par calibration polynomiale, in Recherche en Imagerie et Technologies pour la Santé (RITS) 2017, 2017.
  8. [FARI-17]SPIE ProceedingsDiffuse optical tomography based on time-resolved compressive sensing, in SPIE BiOSOptical Tomography and Spectroscopy of Tissue XII, San Francisco, California, United States, 2017, p. 100590I.
  9. [WANG-16]Multi-level tomography reconstructions with level-set and TV regularization methods, in 2016 24th European Signal Processing Conference (EUSIPCO)2016 24th European Signal Processing Conference (EUSIPCO), 2016, pp. 1698 - 1702.
  10. [LESA-16]Two cone-beam consistency conditions for a circular trajectory, in Fourth international conference on image formation in X-ray computed tomography, 2016, pp. 431–434.
  11. [DUCR-16]Non-linear regularized decomposition of spectral x-ray projection images, in Fourth international conference on image formation in X-ray computed tomography, 2016, pp. 49-52.
  12. [HOSK-16]Fan-beam reconstruction under motion and data truncation: mapping analytic and iterative approaches, in Fourth international conference on image formation in X-ray computed tomography, 2016, pp. 589–592.
  13. [MORY-16B]Iterative cone beam computed tomography in RTK, the Reconstruction ToolKit, in International Conference on the Use of Computers in Radiation Therapy (ICCR), 2016.
  14. [LI-16]Super-resolution/segmentation of 2D trabecular bone images by a Mumford-Shah approach and comparison to total variation, in 2016 24th European Signal Processing Conference (EUSIPCO)2016 24th European Signal Processing Conference (EUSIPCO), 2016, pp. 1693 - 1697.
  15. [VILC-16a]Dual-energy CT spectra optimization for proton treatment planning, in Fourth international conference on image formation in X-ray computed tomography, 2016, pp. 585–588.
  16. [WANG-15b]Filtered stochastic optimization for binary tomography, in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, pp. 1604 - 1607.
  17. [MORY-15]C. Mory and Rit, S., Improving iterative 4D CBCT through the use of motion information, in Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Newport, USA, 2015, pp. 170–173.
  18. [PEYR-16]Semi-blind joint super-resolution/segmentation of 3D trabecular bone images by a TV box approach, in 2015 23rd European Signal Processing Conference (EUSIPCO)2015 23rd European Signal Processing Conference (EUSIPCO), 2015, pp. 2811 - 2815.
  19. [ROUS-15c]F. Rousset, Ducros, N., D'Andrea, C., and Peyrin, F., Single pixel camera: an acquisition strategy based on the non-linear wavelet approximation, in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, pp. 6240–6243.
  20. [HOSK-14]Analytic Motion-compensated Region-of-Interest Reconstruction from Truncated Projections, in 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Seattle, WA, 2014, pp. 1 - 6.
  21. [DELM-14]V. Delmon, Vandemeulebroucke, J., Pinho, R., Oliva, M., Sarrut, D., and Rit, S., In-room breathing motion estimation from limited projection views using a sliding deformation model, in International Conference on the Use of Computers in Radiation Therapy (ICCR), 2014, vol. 489, p. 012026.
  22. [RIT-14b]S. Rit and Clackdoyle, R., 2D filtered backprojection for fan-beam CT with independent rotations of the source and the detector, in Third international conference on image formation in X-ray computed tomography, 2014, pp. 249–252.
  23. [VARG-14]P. Varga, Hesse, B., Langer, M., Peyrin, F., and Raum, K., Peri-lacunar and peri-canalicular tissue mass density gradients in human jaw bone are determined by tissue age, in Euro Bioinspired Materials - International School and Conference on Biological Materials Science, Potsdam, Germany, 2014.
  24. [TOMA-14a]A. Toma, Sixou, B., Denis, L., Pialat, J. B., and Peyrin, F., Higher order Total Variation super-resolution from a single trabecular bone image, in IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014, pp. 1152-1155.
  25. [SPIN-14]D. Spinczyk, Blanc, R., Rit, S., Sarrut, D., and Melo de Lima, D., Estimation of respiratory breathing signal from 2D US sequences and 4DCT of the liver, in 2014 IEEE International Ultrasonics Symposium (IUS)2014 IEEE International Ultrasonics Symposium, Chicago, IL, USA, 2014, pp. 2339 - 2342.
  26. [CLAC-14]R. Clackdoyle, Rit, S., Hoskovec, J., and Desbat, L., Fanbeam data consistency conditions for applications to motion detection, in Third international conference on image formation in X-ray computed tomography, 2014, pp. 324–328.
  27. [HILA-13b]E. Hilaire, Robert, C., Lojacono, X., Lartizien, C., Buvat, I., and Maxim, V., Imagerie Compton en protonthérapie : de la simulation GATE à la reconstruction d’images, in XXIVème Colloque GRETSI - Traitement du Signal et des Images (GRETSI'13), Brest, France, 2013, p. 1--4.
  28. [SIXO-13d]B. Sixou, Wang, L., and Peyrin, F., Bone microstructure reconstruction from few projections with level-set regularization, in IEEE International Symposium on Biomedical Imaging (ISBI), 2013, pp. 1170-1173.
  29. [BLAN-13]R. Blanc, Melo de Lima, D., Rit, S., Rivoire, M., and Sarrut, D., Towards 4DCT-US image fusion for liver motion monitoring, in 2013 IEEE International Ultrasonics Symposium (IUS)2013 IEEE International Ultrasonics Symposium (IUS), Prague, Czech Republic, 2013, pp. 817 - 820.
  30. [SIXO-13c]B. Sixou, Toma, A., Denis, L., and Peyrin, F., Iterative choice of the optimal regularization parameter in TV image deconvolution, in New Computational Methods for Inverse Problems (NCMIP), Cachan, France, 2013, p. (464)012005.
  31. [DUCR-12b]N. Ducros, BASSI, A., D'Andrea, C., Valentini, G., Schweiger, M., and Arridge, S., Virtual source patterns for fluorescence tomography, in 9th IEEE International Symposium on Biomedical Imaging, 2012, pp. 82-85.
  32. [HAUP-12]S. Haupert, Guerard, S., Mitton, D., Peyrin, F., and Laugier, P., Nonlinear resonant ultrasound spectroscopy is sensitive to the level of cortical bone damage, in The Journal of the Acoustical Society of America, 2012, vol. 131, p. 3458.
    {PMID:} 22502133

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