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Journal Article

  1. [PERR-19]“Video Magnification Applied in Ultrasound”, IEEE Transactions on Biomedical Engineering, vol. 66, pp. 283 - 288, 2019.PDF icon perrot_2019_Video_Magnification_Applied_in_Ultrasound.pdf (1.27 MB)Package icon perrot_2019_Video_Magnification_Applied_in_Ultrasound.zip (1.8 MB)
  2. [JOOS-18]“High-frame-rate speckle tracking echocardiography”, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 65, pp. 720 - 728, 2018.
  3. [ROUX-18]“Experimental 3-D Ultrasound Imaging with 2-D Sparse Arrays using Focused and Diverging Waves”, Scientific Reports, vol. 8, 2018.
    https://www.nature.com/articles/s41598-018-27490-2
  4. [PETR-18]“Fast Volumetric Ultrasound B-Mode and Doppler Imaging with a New High-Channels Density Platform for Advanced 4D Cardiac Imaging/Therapy”, Applied Sciences, vol. 8, 2018.
    http://www.mdpi.com/2076-3417/8/2/200
  5. [OUZI-17]“Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning”, IEEE Transaction on Image Processing, p. accepted, 2017.
  6. [ZHAO-16]“Evaluation and Comparison of Current Biopsy Needle Localization and Tracking Methods Using 3D Ultrasound”, Ultrasonics, vol. 73, pp. 206-220, 2017.
  7. [PERR-17a]“Biofidelic abdominal aorta phantom: cross-over preliminary study using UltraSound and Digital Image Stereo-Correlation”, IRBM, vol. 38, 2017.PDF icon perrot_2017_Biofidelic_abdominal_aorta_phantom_cross-over_preliminary_study_using_UltraSound_and_Digital_Image_Stereo_Correlation.pdf (3 MB)
  8. [GASS-17]“High-Quality Plane Wave Compounding using Convolutional Neural Networks”, IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 64, pp. 1637-1639, 2017.
  9. [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.
    http://ieeexplore.ieee.org/document/7581110/
  10. [TURQ-17]“Local orientation imaging for tissue structure using ultrasound imaging”, IRBM, vol. 38, pp. 298-303, 2017.
    http://www.sciencedirect.com/science/article/pii/S195903181730091X
  11. [LORI-16]O. Lorintiu, Liebgott, H., and Friboulet, D., “Compressed sensing Doppler ultrasound reconstruction using block sparse Bayesian learning”, IEEE Transactions on Medical Imaging, vol. 35, pp. 978-987, 2016.
  12. [HARB-16]B. Harbaoui, Montoy, M., Charles, P., Boussel, L., Liebgott, H., Girerd, N., Courand, P., and Lantelme, P., “Aorta calcification burden: Towards an integrative predictor of cardiac outcome after transcatheter aortic valve implantation”, Atherosclerosis, vol. 246, pp. 161-168, 2016.
  13. [ROUX-16]“2D Ultrasound Sparse Arrays Multi-Depth Radiation Optimization Using Simulated Annealing and Spiral-Array Inspired Energy Functions”, IEEE Transactions on Ultrasonics Ferroelectrics an Frequency Control, vol. 63, 2016.
    http://ieeexplore.ieee.org/document/7549037/
  14. [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.
    http://ieeexplore.ieee.org/document/7588198/
  15. [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.
    http://ieeexplore.ieee.org/document/7582552/
  16. [SALL-15]S. Salles, Chee, A., Garcia, D., Yu, A., Vray, D., and Liebgott, H., “2D Arterial wall motion imaging using ultrafast ultrasound and transverse oscillations”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, pp. 1047-1058, 2015.
  17. [LORI-15a]O. Lorintiu, Liebgott, H., Alessandrini, M., Bernard, O., and Friboulet, D., “Compressed sensing reconstruction of 3D ultrasound data using dictionary learning and line-wise subsampling”, IEEE Transactions on Medical Imaging, vol. 34, pp. 2467-2477, 2015.
  18. [SALL-15b]S. Salles, Liebgott, H., Garcia, D., and Vray, D., “Full 3D transverse oscillations: a method for tissue motion estimation”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, 2015.
  19. [TORT-15]P. Tortoli, Lenge, M., Righi, D., Ciuti, G., Liebgott, H., and Ricci, S., “Comparison of carotif artery blood velocity measurments by vector and standard Doppler approaches”, Ultrasound in Medicine and Biology, p. accepted, 2015.
  20. [LENG-15]M. Lenge, Ramalli, A., Tortoli, P., Cachard, C., and Liebgott, H., “Plane-Wave Transverse Oscillation for High Frame Rate 2-D Vector Flow Imaging”, IEEE Transactions On Ultrasonics Ferroelectrics and Frequency Control, vol. 62, pp. 2126 - 2137, 2015.
  21. [ZAHN-15]G. Zahnd, Salles, S., Serusclat, A., Moulin, P., Liebgott, H., and Vray, D., “Real-time ultrasound-tagging to track the 2D motion of the common carotid artery wall in vivo”, Medical Physics, vol. 42, pp. 820-830, 2015.
  22. [ZHAO-14b]Y. Zhao, Liebgott, H., and Cachard, C., “A comparison of the existing tool localization methods on 2D ultrasound images and their tracking results”, IET Control Theory & Applications, 2014.
  23. [FARG-14]M. Fargier-Voiron, Presles, B., Pommier, P., Rit, S., Munoz, A., Liebgott, H., Sarrut, D., and Biston, M. C., “Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy”, Radiotherapy and Oncology, vol. 111, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Fargier2014.pdf
  24. [LENG-14b]M. Lenge, Ramalli, A., Boni, E., Liebgott, H., Cachard, C., and Tortoli, P., “High frame-rate 2D vector blood flow imaging in the frequency-domain”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. in press, 2014.
  25. [ZHAO-14]Y. Zhao, Bernard, A., Cachard, C., and Liebgott, H., “Biopsy needle localization and tracking using ROI-RK method”, Abstract and Applied Analysis, vol. in press, 2014.
  26. [PRES-14]B. Presles, Fargier-Voiron, M., Biston, M. C., Lynch, R., Munoz, A., Liebgott, H., Pommier, P., Rit, S., and Sarrut, D., “Semi-automatic registration of 3D transabdominal ultrasound images for patient repositioning during post-prostatectomy radiotherapy”, Medical Physics, vol. 41, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Presles2014.pdf
  27. [GIBA-14]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “OntoVIP: an ontology for the annotation of object models used for medical image simulation”, Journal of Biomedical Informatics, vol. 52, pp. 279-292, 2014.
  28. [GUO-14]X. Guo, Liebgott, H., and Friboulet, D., “Back-propagation beamformer design for motion estimation in echocardiography”, Ultrasonic Imaging, vol. 37, pp. 179-204, 2014.
  29. [ALES-14]M. Alessandrini, Basarab, A., Boussel, L., Guo, X., Sérusclat, A., Friboulet, D., Kouamé, D., Bernard, O., and Liebgott, H., “A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: a preliminary evaluation in silico and a feasibility demonstration in vivo”, IEEE Transactions on Medical Imaging, vol. 33, pp. 1148-1162, 2014.
  30. [SALL-14c]S. Salles, Liebgott, H., Basset, O., Cachard, C., Vray, D., and Lavarello, R., “Experimental Evaluation of Spectral-Based Quantitative Ultrasound Imaging Using Plane Wave Compounding”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 61, pp. 1824-1834, 2014.
  31. [LIEB-13]H. Liebgott, Prost, R., and Friboulet, D., “Pre-beamformed RF signal reconstruction in medical ultrasound using compressive sensing”, Ultrasonics, vol. 53, pp. 525–533, 2013.
  32. [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.
  33. [ALES-13b]M. Alessandrini, Bernard, O., Basarab, A., and Liebgott, H., “Multiscale optical flow computation from the monogenic signal”, IRBM, vol. 34, pp. 33-37, 2013.
  34. [ALES-13]M. Alessandrini, Basarab, A., Liebgott, H., and Bernard, O., “Myocardial Motion Estimation from Medical Images Using the Monogenic Signal”, IEEE Transactions on Image Processing, vol. 22, pp. 1084-1095, 2013.
  35. [RICH-13]J. Richy, Friboulet, D., Bernard, A., Bernard, O., and Liebgott, H., “Blood Velocity Estimation Using Compressive Sensing”, IEEE Transactions on Medical Imaging, vol. 32, pp. 1979-1988, 2013.
  36. [ZHAO-13]Y. Zhao, Cachard, C., and Liebgott, H., “Auromatic Needle Detection and Tracking in 3D Ultrasound Using an ROI-Based RANSAC and Kalman Method”, Ultrasonic Imaging, vol. 35, 2013.
  37. [Uher-13]M. Uhercik, Kybic, J., Zhao, Y., Cachard, C., and Liebgott, H., “Line Filtering for Surgical Tool Localization in 3D Ultrasound Images”, Computers in Biology and Medicine, vol. 43, 2013.
    http://dx.doi.org/10.1016/j.compbiomed.2013.09.020
  38. [GLAT-13]T. Glatard, Lartizien, C., Gibaud, B., Ferreira da Silva, R., Forestier, G., Cervenansky, F., Alessandrini, M., Benoit-Cattin, H., Bernard, O., Camarasu-Pop, S., Cerezo, N., Clarysse, P., Gaignard, A., Hugonnard, P., Liebgott, H., Marache, S., Marion, A., Montagnat, J., Tabary, J., and Friboulet, D., “A Virtual Imaging Platform for multi-modality medical image simulation”, IEEE Transactions on Medical Imaging, vol. 32, pp. 110-118, 2013.PDF icon tmi-2012.pdf (487.25 KB)
  39. [DECR-13]M. De Craene, Marchesseau, S., Heyde, B., Gao, H., Alessandrini, M., Bernard, O., Piella, G., Porras, A. R., Tautz, L., Hennemuth, A., Prakosa, A., Liebgott, H., Allain, P., Makram Ebeid, S., Delingette, H., Sermesant, M., D'hooge, J., and Saloux, E., “3D Strain Assessment in Ultrasound (Straus): A synthetic comparison of five tracking methodologies”, IEEE Transactions on Medical Imaging, vol. PP, 2013.
  40. [VARR-13d]F. Varray and Liebgott, H., “Multi-Resolution Transverse Oscillation in Ultrasound Imaging for Motion Estimation”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 60, pp. 1333-1342, 2013.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6552385
  41. [HOLS-13]K. Holst, Liebgott, H., Wilhjelm, J. E., Nikolov, S., Torp-Pedersen, T., Delachartre, P., and Jensen, J. A., “Internal Strain Estimation for Quantification of Human Heel Pad Elastic Modulus: a Phantom Study”, Ultrasonics, vol. 53, pp. 439–446, 2013.
    http://www.sciencedirect.com/science/article/pii/S0041624X1200162X?v=s5
  42. [LIEB-10a]H. Liebgott, Basarab, A., Gueth, P., Friboulet, D., and Delachartre, P., “Transverse oscillations for tissue motion estimation”, Ultrasonics, vol. 50, pp. 548-555, 2010.
  43. [UHER-10]M. Uhercik, Kybic, J., Liebgott, H., and Cachard, C., “Model Fitting using RANSAC for Surgical Tool Localization in 3D Ultrasound Images”, IEEE Trans Biomed Eng, vol. 57, pp. 1907-1916, 2010.
  44. [BASAR-09a]A. Basarab, Liebgott, H., and Delachartre, P., “Analytic estimation of subsample spatial shift using the phases of multidimensional analytic signals”, IEEE Trans Image Proces, vol. 18, pp. 440-447, 2009.
  45. [BASAR-09b]A. Basarab, Gueth, P., Liebgott, H., and Delachartre, P., “Phase-based block matching applied to motion estimation with unconventional beamforming strategies”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 56, pp. 945-957, 2009.
  46. [DUBO-09]F. Duboeuf, Basarab, A., Liebgott, H., Brusseau, E., Delachartre, P., and Vray, D., “Investigation of PVA cryogel Young's modulus stability with time, controlled by a simple reliable technique”, J Med Phys, vol. 36, pp. 656–661, 2009.
  47. [LIEB-08a]H. Liebgott, Basarab, A., Gueth, P., Cachard, C., and Delachartre, P., “Lateral RF image synthesis using a synthetic aperture imaging technique”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 55, pp. 2097-2103, 2008.
  48. [BARV-08]M. Barva, Uhercik, M., Mari, J. M., Kybic, J., Duhamel, J. R., Liebgott, H., Hlavac, V., and Cachard, C., “Parallel integral projection transform for straight electrode localization in 3D ultrasound”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 55, pp. 1559-1569, 2008.
  49. [BASAR-08a]A. Basarab, Liebgott, H., Morestin, F., Lyshchik, A., Higashi, T., Asato, R., and Delachartre, P., “A method for vector displacement estimation with ultrasound images and its application for thyroid nodular disease”, Med Image Anal, vol. 12, pp. 259-274, 2008.
  50. [FROM-07]J. Fromageau, Liebgott, H., Brusseau, E., Vray, D., and Delachartre, P., “Estimation of Time-Scaling Factor for Ultrasound Medical Images Using the Hilbert Transform”, Eurasip J Adv Signal Proces, vol. 2007, p. Article ID 80735, 13 pages, 2007.
  51. [LIEB-07a]H. Liebgott, Wilhjelm, J. E., Jensen, J. A., Vray, D., and Delachartre, P., “PSF dedicated to estimation of displacement vectors for tissue elasticity imaging with ultrasound”, IEEE Trans Ultrason Ferroelectr Freq Control, vol. 54, pp. 746–756, 2007.
  52. [AOUD-06]W. Aoudi, Liebgott, H., Needles, A., Yang, V., Foster, F. S., and Vray, D., “Estimation Methods for Flow Imaging with High Frequency Ultrasound”, Ultrasonics, vol. 44, pp. 135–140, 2006.
  53. [DELA-06a]P. Delachartre, Liebgott, H., Lacouture, F., Morestin, F., Lyshchik, A., Higashi, T., and Asato, R., “Modélisation bilinéaire et estimation du déplacement pour l'imagerie de l'élasticité appliquée au cancer de la thyroïde”, Traitement du Signal, vol. 23, pp. 235-245, 2006.
  54. [LIEB-05]H. Liebgott, Fromageau, J., Wilhjelm, J. E., Vray, D., and Delachartre, P., “Beamforming scheme for 2D displacement estimation in ultrasound imaging”, Eurasip J Appl Signal Process, vol. 8, pp. 1212–1220, 2005.

Conference Paper

  1. [SALLE-19]“Natural mechanical wave detection using ultrafast ultrasound and velocity Clutter Filter Wave Imaging”, in Hot TOPIics in IMaging(TOPIM), Les Houches, France, 2019.
    https://hal.archives-ouvertes.fr/hal-02094581
  2. [GHIG-19]“High Frame Rate Vector Flow Imaging with a Convex Array in a simulated vessel phantom”, in IEEE International Ultrasonics Symposium (IUS), Glasgow, United Kingdom, 2019, pp. 356 - 359.
    https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8914674https://ieeexplore.ieee.org/document/8925612/http://xplorestaging.ieee.org/ielx7/8914674/8925542/08925612.pdf?arnumber=8925612
  3. [PERR-18a]“Simultaneous Tissue and Flow Estimation at High Frame Rate Using Plane Wave and Transverse Oscillation on in Vivo Carotid”, in 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japan, 2018, pp. 1 - 4.PDF icon perrot_2018_Simultaneous_Tissue_and_Flow_Estimation_at_High_Frame_Rate_using_Plane_Wave_and_Transverse_Oscillation_on_In_Vivo_Carotid.pdf (204.76 KB)
  4. [BUJO-18b]“Jointly optimized modulation/filtering technique for pseudo-orthogonal binary sequences”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  5. [BADE-18a]“Vortex ring phantom for investigation of ultrasound vector flow”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  6. [BADE-18]“Experimental cross-talk reduction for 3D multi-line transmission”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018, pp. 1-4.
  7. [BUJO-18]“A Resolution Enhancement Technique for Ultrafast Coded Medical Ultrasound”, in European Signal Processing Conference (Eusipco), Rome, Italy, 2018, pp. 1-5.
  8. [MATE-18a]“Optimal virtual sources distribution in 3-D diverging wave US imaging”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018.
  9. [POLI-18c]“Influence of beamforming methods on velocity estimation: in vitro experiments”, in 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japan, 2018, pp. 1-4.PDF icon polichetti_2018_Influence_of_Beamforming_Methods_on_Velocity_Estimation_in_vitro_Experiments.pdf (917.77 KB)
  10. [PERR-18c]“Spatial and Temporal Adaptive FIR Clutter Filtering”, in 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japan, 2018, pp. 1-4.PDF icon perrot_2018_Spatial_and_Temporal_Adaptive_FIR_Clutter_Filtering.pdf (894.17 KB)
  11. [MATT-18b]“Specral Doppler measurments with 2D sparse arrays”, in IEEE International Ultrasonics Symposium, Kobe, Japan, 2018.
  12. [DIAR-18]“Feasibility of Genetic Algorithms in 2D Ultrasound Array Optimization”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 1-9.
  13. [PETR-17]“A new high channels density ultrasound platform for advanced 4D cardiac imaging”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017.
  14. [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.
  15. [RODR-17]“The UltraSound ToolBox”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  16. [PERR-17b]“Simultaneous pulse wave and flow estimation at high-framerate using plane wave and transverse oscillation on carotid phantom”, in 2017 IEEE International Ultrasonics Symposium (IUS), Washington, USA, 2017, pp. 1-4.PDF icon perrot_2017_Simultaneous_pulse_wave_and_flow_estimation_at_high_framerate_using_plane_wave_and_transverse_oscillation_on_carotid_phantom.pdf (629.63 KB)
  17. [JOOS-17]“High-volume-rate 3-D ultrasound imaging based on motion compensation a feasibility study”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017.
  18. [BUJO-17b]“Inverse Problem Approaches for Coded High Frame Rate Ultrasound Imaging”, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA., USA, 2017, pp. 1007-1011.
  19. [TURQ-17b]“3D ultrasound imaging of tissue anisotropy using spatial coherence: comparison between plane and diverging waves”, in IEEE International Ultrasonics Symposium, Washington D.C., 2017.PDF icon TURQUIN_IUS_Proceeding.pdf (713.84 KB)
  20. [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.
  21. [ROUX-17b]“3D diverging waves with 2D sparse arrays: a feasibility study”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017.
  22. [BADE-17d]“Multi-line transmission for 3D ultrasound imaging: An experimental study”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  23. [ROUX-17c]“Validation of optimal 2D sparse arrays in focused mode phantom experiments”, in IEEE International Ultrasonics Symposium, Washington, USA, 2017.
  24. [BUJO-17c]“Simultaneous coded plane wave imaging: implementation on a research echograph”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  25. [BADE-17a]“Doppler velocity estimation in 3D cardiac ultrafast ultrasound imaging: An in vitro study”, in IEEE International Ultrasonics Symposium, 2017, pp. 1-4.
  26. [LIEB-16]“Plane-Wave Imaging Challenge in Medical Ultrasound”, in IEEE International Ultrasonics Symposium, Tours, France, 2016.
  27. [JOOS-16]“High-frame-rate velocity vector imaging echocardiography: an in vitro evaluation”, in IEEE International Ultrasonics Symposium, Tours, 2016.PDF icon IUS2016-001193.pdf (1.04 MB)
  28. [SALL-16]“Estimation of arterial wall motion using ultrafast imaging and transverse oscillations : in vivo study”, in 2016 IEEE International Ultrasonics Symposium (IUS), Tours, France, 2016, vol. accepted, pp. 1-4.PDF icon salles_2016_Estimation_of_arterial_wall_motion_using_ultrafast_imaging_and_transverse_oscillations_in_vivo_study.pdf (907.18 KB)
  29. [BADE-16]“A measure of confidence for phase-based motion estimator applied to 2D US-TO images”, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  30. [DIAR-16]“Comparison of different optimized irregular sparse 2D ultrasound arrays ”, in IEEE International Ultrasonics Symposium, Tours, France., 2016, pp. 1-4.
    http://ieeexplore.ieee.org/document/7728414/
  31. [ZHAN-16]“A Fourier-based formalism for 3D ultrafast imaging with diverging waves”, in IEEE International Ultrasonics Symposium, Tours, France, 2016, pp. 1-4.
  32. [ROUX-15b]E. Roux, Ramalli, A., Robini, M., Liebgott, H., C., C., and Tortoli, P., “Spiral Array Inspired Multi-Depth Cost Function for 2D Sparse Array Optimization”, in IEEE International Ultrasonics Symposium, 2015, pp. 1-4.
    http://ieeexplore.ieee.org/document/7329187/
  33. [ZHAN-15]M. Zhang, Besson, A., Carrillo, R. E., Varray, F., Liebgott, H., Thiran, J. - P., Friboulet, D., and Bernard, O., “Extension of Ultrasound Fourier Slice Imaging Theory to Sectorial Acquisition”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7329476&tag=1
  34. [PAGE-15]“Emissions codées par ondes planes en imagerie ultrasonore ultra-rapide”, in GRETSI 2015, Lyon, France, 2015, vol. pp-pp.
  35. [LORI-15d]O. Lorintiu, Liebgott, H., Bernard, O., and Friboulet, D., “Sub-sampled Doppler ultrasound reconstruction using block sparse Bayesian learning”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
  36. [JOOS-15]“Cardiac Motion Estimation based on Transverse Oscillation and Ultrafast Diverging Wave Imaging”, in IEEE International Ultrasonics Symposium, Tapei, 2015.PDF icon IUS2015-000437.PDF (908.76 KB)
  37. [LORI-15c]O. Lorintiu, Liebgott, H., Bernard, A., Bernard, O., and Friboulet, D., “Compressed sensing reconstruction of line-wise sub-sampled 3D echographic images based on dictionary learning: an experimental study”, in IEEE International Ultrasonics Symposium, Taipei, Taiwan, 2015, pp. 1-4.
  38. [PRES-15]B. Presles, Fargier-Voiron, M., Alessandrini, M., Biston, M. C., Pommier, P., Rit, S., Sarrut, D., and Liebgott, H., “Realistic Simulations for the Evaluation of Monomodal Registration Algorithms of 3D Pelvic Ultrasound Images”, in 2015 International Congress on Ultrasonics, Metz (France), 2015, p. in press.
  39. [ROUX-15c]E. Roux, Robini, M., Ramalli, A., Tortoli, P., C., C., and Liebgott, H., “Modélisation et simulation acoustique pour l’optimisation de sondes échographiques 2D par recuit simulé”, in GRETSI, 2015, p. accepted.
    https://hal.archives-ouvertes.fr/hal-01286079/
  40. [ROUX-15a]E. Roux, Ramalli, A., Tortoli, P., Cachard, C., Robini, M., and Liebgott, H., “Speed-Up of Acoustic Simulation Techniques for 2D Sparse Array Optimization by Simulated Annealing”, in IEEE International Ultrasonics Symposium, 2015, pp. 1–4.
    http://ieeexplore.ieee.org/document/7329330/
  41. [LENG-14c]M. Lenge, Righi, D., Ricci, S., Liebgott, H., and Tortoli, P., “Blood velocity measurement in healthy and diseased carotid arteries by vector Doppler techniques”, in IEEE International Ultrasonics Symposium, Chicago, Illinois, USA, 2014, p. accepted.
  42. [ROUX-14]E. Roux, Diarra, B., Robini, M., Cachard, C., Tortoli, P., and Liebgott, H., “Realistic acoustic simulation of 2D probe elements in simulated annealing sparse array optimization”, in IEEE International Ultrasonics Symposium, Chicago, Illinois, USA, 2014, pp. 2125–2128.
    http://ieeexplore.ieee.org/document/6931817/
  43. [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.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6932257
  44. [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.
    http://ieeexplore.ieee.org/document/6931734/
  45. [VARR-14]F. Varray, Liebgott, H., Cachard, C., and Vray, D., “Simulation of Fast and Realistic Nonlinear Radio-Frequency Ultrasound Images Using a Pseudo-Acoustic Strategy”, in IEEE International Ultrasonics Symposium, Chicago, USA, 2014, pp. 2217-2220.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6931937
  46. [LENG-14]M. Lenge, Ramalli, A., Cellai, A., Tortoli, P., Cachard, C., and Liebgott, H., “A new method for 2D-vector blood flow imaging based on unconventional beamforming techniques”, in IEEE ICASSP, Florence, Italy, 2014, pp. 5125 - 5129.

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