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Journal Article

  1. [AZIZ-19]M. Azizian Kalkhoran et Vray, D., « Sparse sampling and reconstruction for an optoacoustic ultrasound volumetric hand-held probe », Biomedical Optics Express, vol. 10, p. 1545-1556, 2019.
  2. [NGUY-19]K. L. Nguyen, Delachartre, P., et Berthier, M., « Multi-grid phase field skin tumor segmentation in 3D ultrasound images », IEEE Image Processing, 2019.PDF icon Nguyen 19 IEEE IP Multi-grid phase field skin tumor segmentation.pdf (6.74 MB)
  3. [DOLE-18c]A. Dolet, Varray, F., Mure, S., Grenier, T., Liu, Y., Zhen, Y., Tortoli, P., et Vray, D., « Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging », EURASIP Journal on Advances in Signal Processing, vol. 39, 2018.PDF icon DOLET_EURASIP_JASP_2018.pdf (2.18 MB)
    https://link.springer.com/article/10.1186/s13634-018-0554-8
  4. [BOUL-18]P. Boulos, Varray, F., Poizat, A., Ramalli, A., Gilles, B., Bera, J. C., et Cachard, C., « Weighting the passive acoustic mapping technique with the phase coherence factor for passive ultrasound imaging of ultrasound-induced cavitation », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, p. 2301-2310, 2018.
  5. [GUEP-18]B. K. Guépié, Martin, M., Lacrosaz, V., Almar, M., Guibert, B., et Delachartre, P., « Sequential Emboli Detection from Ultrasound Outpatient Data », IEEE Journal of Biomedical and Health Informatics, 2018.PDF icon Guepie-18 jbhi Sequential Emboli Detection from Ultrasound Outpatient Data.pdf (1.66 MB)
    http://atyscrea.insa-lyon.fr/sites/default/files/FilePublic/Publishings/Guepie-18%20jbhi%20Sequential%20Emboli%20Detection%20from%20Ultrasound%20Outpatient%20Data.pdf
  6. [BENA-18]Y. Benane, Bujoreanu, D., Lavarello, R., Varray, F., Escoffre, J. M., Novell, A., Cachard, C., et Basset, O., « Experimental Implementation of a Pulse Compression Technique Using Coherent Plane-Wave Compounding », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, p. 1025 - 1036, 2018.
    https://ieeexplore.ieee.org/document/8327909/
  7. [POLI-18a]M. Polichetti, Varray, F., Bera, J. C., Cachard, C., et Nicolas, B., « A Nonlinear Beamformer Based on p-th Root Compression - Application to Plane Wave Ultrasound Imaging », Applied Sciences, vol. 8, 2018.
    http://www.mdpi.com/2076-3417/8/4/599
  8. [PETR-18]L. Petrusca, Varray, F., Souchon, R., Bernard, A., Chapelon, J. - Y., Liebgott, H., N’Djin, W. Apoutou, et Viallon, M., « 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
  9. [JOOS-18]P. JOOS, Porée, J., Liebgott, H., Vray, D., Baudet, M., Faurie, J., Tournoux, F., Cloutier, G., Nicolas, B., et Garcia, D., « High-frame-rate speckle tracking echocardiography », IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 65, p. 720 - 728, 2018.
  10. [ROUX-18]E. Roux, Varray, F., Petrusca, L., Cachard, C., Tortoli, P., et Liebgott, H., « 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
  11. [FARO-18]Y. Farouj, Navarro, L., Freyermuth, J. M., Clausel, M., et Delachartre, P., « Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding », Signal, Image and Video Processing, 2018.PDF icon Farouj-18 Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding.pdf (564.21 KB)
  12. [GIRA-18]P. R. Girard, Clarysse, P., Pujol, R., Goutte, R., et Delachartre, P., « Hyperquaternions: a New Tool for Physics », Advances in Applied Clifford Algebras, vol. 28, 2018.PDF icon Girard2018 AACA Hyperquaternions new tool for physics (Research Gate).pdf (226.29 KB)
  13. [COUR-18]P. Y. Courand, Harbaoui, B., Fay, H., Grandjean, A., Milon, H., et Lantelme, P., « Aortic atherosclerosis is a key modulator of the prognostic value of postural blood pressure changes. », Atherosclerosis, vol. 268, p. 108-116, 2018.
  14. [BOUH-18]B. Bouhanick, Amar, J., Amar, L., Gosse, P., Girerd, X., Reznik, Y., Mounier-Vehier, C., Baguet, J. P., Boutouyrie, P., Lepage, B., Lantelme, P., et Chamontin, B., « Arterial stiffness evaluated by pulse wave velocity is not predictive of the improvement in hypertension after adrenal surgery for primary aldosteronism: A multicentre study from the French European Society of Hypertension Excellence Centres. », Arch Cardiovasc Dis, 2018.
  15. [SCIO-18]B. Sciolla, Le Digabel, J., Josse, G., Dambry, T., Guibert, B., et Delachartre, P., « Joint segmentation and characterization of the dermis in 50 MHz ultrasound 2D and 3D images of the skin », Computers in Biology and Medicine, vol. 103, p. 277-286, 2018.PDF icon Sciolla 2018_CBM_preprint joint segmentation and characterization.pdf (5.12 MB)
  16. [LANT-18]P. Lantelme, Eltchaninoff, H., Rabilloud, M., Souteyrand, G., Dupré, M., Spaziano, M., Bonnet, M., Becle, C., Riche, B., Durand, E., Bouvier, E., Dacher, J. N., Courand, P. Y., Cassagnes, L., Dávila Serrano, E. E., Motreff, P., Boussel, L., Lefevre, T., et Harbaoui, B., « Development of a Risk Score Based on Aortic Calcification to Predict 1-year Mortality After Transcatheter Aortic Valve Replacement. », JACC Cardiovasc Imaging, 2018.
  17. [SIGO-18]M. Sigovan, Si-Mohamed, S., Courand, P. Y., Harbaoui, B., Sapoval, M., Bros, S., Douek, P. C., Lantelme, P., et Boussel, L., « MRI-based detection of renal artery abnormalities related to renal denervation by catheter-based radiofrequency ablation in drug resistant hypertensive patients. », Eur Radiol, 2018.
  18. [AZIZ-18]M. Azizian Kalkhoran et Vray, D., « Theoretical characterization of annular array as a volumetric optoacoustic ultrasound handheld probe », Journal of Biomedical Optics, vol. 23, p. 9-23, 2018.
    https://doi.org/10.1117/1.JBO.23.2.025004
  19. [BRUS-17a]E. Brusseau, Bernard, A., Meynier, C., Chaudet, P., Detti, V., Ferin, G., Basset, O., et Nguyen-Dinh, A., « Specific ultrasound data acquisition for tissue motion and strain estimation: initial results », Ultrasound in Medicine & Biology, vol. 43, p. 2904-2913, 2017.
  20. [GUEP-17]B. K. Guépié, Sciolla, B., Millioz, F., Almar, M., et Delachartre, P., « Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data », Medical & Biological Engineering & Computing, p. 1-11, 2017.PDF icon Medical_&_Biological_Engineering_&_Computing_2016.pdf (1.54 MB)
    http://dx.doi.org/10.1007/s11517-017-1624-z
  21. [HARB-17a]B. Harbaoui, Courand, P. Y., Cividjian, A., et Lantelme, P., « Development of Coronary Pulse Wave Velocity: New Pathophysiological Insight Into Coronary Artery Disease. », J Am Heart Assoc, vol. 6, 2017.
  22. [DOLE-17a]A. Dolet, Varray, F., Roméo, E., Dehoux, T., et Vray, D., « Spectrophotometry and photoacoustic imaging: a comparative study », IRBM, vol. 38, 2017.PDF icon IRBM_DOLET_2017.pdf (1.31 MB)
    http://www.sciencedirect.com/science/article/pii/S1959031817301148
  23. [ASSI-17]K. C. Assi, Gay, E., Chnafa, C., Mendez, S., Nicoud, F., Abascal, J. F. P. J., Lantelme, P., Tournoux, F., et Garcia, D., « Intraventricular vector flow mapping-a Doppler-based regularized problem with automatic model selection. », Phys Med Biol, vol. 62, p. 7131-7147, 2017.
  24. [VARR-17b]F. Varray, Toulemonde, M., Bernard, A., Basset, O., et Cachard, C., « Fast Nonlinear Ultrasound Propagation Simulation Using a Slowly Varying Envelope Approximation », IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 64, p. 1015-1022, 2017.
    http://ieeexplore.ieee.org/document/7886342/?denied
  25. [COUR-17b]P. Y. Courand, Harbaoui, B., Becle, C., Mouly-Bertin, C., et Lantelme, P., « Plasma NT-proBNP mirrors the deleterious cardiovascular and renal continuum in hypertension. », Eur J Prev Cardiol, vol. 24, p. 452-459, 2017.
  26. [FARO-17]Y. Farouj, Freyermuth, J. M., Navarro, L., Clausel, M., et Delachartre, P., « Hyperbolic Wavelet-Fisz denoising for a model arising in ultrasound imaging », IEEE Transactions on Computational Imaging, vol. 3, p. 1-10, 2017.
  27. [ZHAO-16]Y. Zhao, Shen, Y., Bernard, A., Cachard, C., et Liebgott, H., « Evaluation and Comparison of Current Biopsy Needle Localization and Tracking Methods Using 3D Ultrasound », Ultrasonics, vol. 73, p. 206-220, 2017.
  28. [COUR-17]P. Y. Courand, Pereira, H., Del Giudice, C., Gosse, P., Monge, M., Bobrie, G., Delsart, P., Mounier-Vehier, C., Lantelme, P., Denolle, T., Dourmap, C., Halimi, J. M., Girerd, X., Rossignol, P., Zannad, F., Ormezzano, O., Vaisse, B., Herpin, D., Ribstein, J., Bouhanick, B., Mourad, J. J., Ferrari, E., Chatellier, G., Sapoval, M., Azarine, A., et Azizi, M., « Abdominal Aortic Calcifications Influences the Systemic and Renal Hemodynamic Response to Renal Denervation in the DENERHTN (Renal Denervation for Hypertension) Trial. », J Am Heart Assoc, vol. 6, 2017.
  29. [SCIO-17c]B. Sciolla, Cowell, L., Dambry, T., Guibert, B., et Delachartre, P., « Improved Boundary Segmentation of Skin Lesions in High-Frequency 3D Ultrasound », Computers in Biology and Medicine, vol. 87, p. 302-310, 2017.PDF icon CBM2017.pdf (5.17 MB)
    http://www.computersinbiologyandmedicine.com/article/S0010-4825%2817%2930176-2/fulltext
  30. [GOSS-17]P. Gosse, Cremer, A., Pereira, H., Bobrie, G., Chatellier, G., Chamontin, B., Courand, P. Y., Delsart, P., Denolle, T., Dourmap, C., Ferrari, E., Girerd, X., J. Halimi, M., Herpin, D., Lantelme, P., Monge, M., Mounier-Vehier, C., Mourad, J. J., Ormezzano, O., Ribstein, J., Rossignol, P., Sapoval, M., Vaisse, B., Zannad, F., et Azizi, M., « Twenty-Four-Hour Blood Pressure Monitoring to Predict and Assess Impact of Renal Denervation: The DENERHTN Study (Renal Denervation for Hypertension). », Hypertension, vol. 69, p. 494-500, 2017.
  31. [VALL-17]M. Vallet, Varray, F., Boutet, J., Dinten, J. M., Caliano, G., Savoia, A. S., et Vray, D., « Quantitative comparison of PZT and CMUT probes for photoacoustic imaging: experimental validation », Photoacoustics, vol. 8, p. 48-58, 2017.
    http://www.sciencedirect.com/science/article/pii/S2213597916300301
  32. [HARB-17]B. Harbaoui, Eeckhout, E., Muller, O., et Lantelme, P., « Deferred Stenting in STEMI: Still an Interest in Selected Patients? », J Am Coll Cardiol, vol. 70, p. 2311-2312, 2017.
  33. [OUZI-17]N. Ouzir, Basarab, A., Liebgott, H., Harbahoui, B., et Tourneret, J. - Y., « Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning », IEEE Transaction on Image Processing, p. accepted, 2017.
  34. [VARR-17a]F. Varray, Mirea, I., Langer, M., Peyrin, F., Fanton, L., et Magnin, I. E., « Extraction of the 3D Local Orientation of Myocytes in Human Cardiac Tissue Using X-ray Phase-Contrast Micro-Tomography and Multi-Scale Analysis », Medical Image Analysis, vol. 38, p. 117-132, 2017.
    http://www.medicalimageanalysisjournal.com/article/S1361-8415(17)30024-5/abstract
  35. [COUR-17a]P. Y. Courand et Lantelme, P., « Stretching the carotid sinus to treat resistant hypertension. », Lancet, vol. 390, p. 2610-2612, 2017.
  36. [ROUX-17]E. Roux, Ramalli, A., Liebgott, H., Cachard, C., Robini, M., et Tortoli, P., « 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/
  37. [PEDR-17]J. Pedrosa, Queirós, S., Bernard, O., Engvall, J., Edvardsen, T., Nagel, E., et D’hooge, J., « Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces », IEEE Transactions on Medical Imaging, p. accepted, 2017.
  38. [GASS-17]M. Gasse, Millioz, F., Roux, E., Garcia, D., Liebgott, H., et Friboulet, D., « High-Quality Plane Wave Compounding using Convolutional Neural Networks », IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 64, p. 1637-1639, 2017.
  39. [SCIO-17a]B. Sciolla, Cowell, L., Dambry, T., Guibert, B., et Delachartre, P., « Segmentation of Skin Tumors in High-Frequency 3D Ultrasound Images », Ultrasound in Medecine and Biology, vol. 43, p. 227–238, 2017.PDF icon UMB2016.pdf (2.08 MB)
  40. [AZIZ-16]M. Azizi, Pereira, H., Hamdidouche, I., Gosse, P., Monge, M., Bobrie, G., Delsart, P., Mounier-Vehier, C., Courand, P. Y., Lantelme, P., Denolle, T., Dourmap-Collas, C., Girerd, X., J. Halimi, M., Zannad, F., Ormezzano, O., Vaisse, B., Herpin, D., Ribstein, J., Chamontin, B., Mourad, J. J., Ferrari, E., Plouin, P. F., Jullien, V., Sapoval, M., et Chatellier, G., « Adherence to Antihypertensive Treatment and the Blood Pressure-Lowering Effects of Renal Denervation in the Renal Denervation for Hypertension (DENERHTN) Trial. », Circulation, vol. 134, p. 847-57, 2016.
  41. [LORI-16]O. Lorintiu, Liebgott, H., et Friboulet, D., « Compressed sensing Doppler ultrasound reconstruction using block sparse Bayesian learning », IEEE Transactions on Medical Imaging, vol. 35, p. 978-987, 2016.
  42. [HARB-16]B. Harbaoui, Montoy, M., Charles, P., Boussel, L., Liebgott, H., Girerd, N., Courand, P., et Lantelme, P., « Aorta calcification burden: Towards an integrative predictor of cardiac outcome after transcatheter aortic valve implantation », Atherosclerosis, vol. 246, p. 161-168, 2016.
  43. [ZHAN-16b]M. Zhang, Varray, F., Besson, A., Carrillo, R. E., Viallon, M., Garcia, D., Thiran, J. - P., Friboulet, D., Liebgott, H., et Bernard, O., « Extension of Fourier-based techniques for ultrafast imaging in ultrasound with diverging waves », IEEE Transactions on Ultrasonics, Ferroelectricity and Frequency Control, vol. 63, p. 2125-2137, 2016.
    http://ieeexplore.ieee.org/document/7588198/
  44. [ROUX-16]E. Roux, Ramalli, A., Tortoli, P., Cachard, C., Robini, M., et Liebgott, H., « 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/
  45. [BESS-16]A. Besson, Zhang, M., Varray, F., Liebgott, H., Friboulet, D., Wiaux, Y., Thiran, J. P., Carillo, R. E., et Bernard, O., « A sparse reconstruction framework for Fourier-based plane wave imaging », IEEE Transactions on Ultrasonics Ferroelectrics an Frequency Control, vol. 63, p. 2092-2106, 2016.
    http://ieeexplore.ieee.org/document/7582552/
  46. [COUR-16a]P. Y. Courand, Harbaoui, B., Grandjean, A., Charles, P., Paget, V., Boussel, L., et Lantelme, P., « Significance of different ECG indices for left ventricle enlargement and systolic dysfunction assessment: A cardiac MRI study. », Int J Cardiol, vol. 216, p. 114-7, 2016.
  47. [Gao-16]B. Gao, Liu, W., Wang, L., Liu, Z., Croisille, P., Delachartre, P., et Clarysse, P., « Estimation of Cardiac Motion in Cine-MRI Sequences by Correlation Transform Optical Flow of Monogenic Features Distance », Physics in Medicine and Biology, vol. 61, p. 8640-8663, 2016.
  48. [HARB-16a]B. Harbaoui, Motreff, P., et Lantelme, P., « Delayed versus immediate stenting during STEMI: Towards a "tailored" strategy for primary PCI? », Arch Cardiovasc Dis, vol. 109, p. 373-5, 2016.
  49. [VARR-16a]F. Varray, Bernard, O., Assou, S., Cachard, C., et Vray, D., « Hybrid Strategy to Simulate 3-D Nonlinear Radio-Frequency Ultrasound Using a Variant Spatial PSF », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 63, p. 1390-1398, 2016.
    http://ieeexplore.ieee.org/document/7489029/
  50. [BASS-15]O. Basset, Bouakaz, A., Sénégond, N., Toulemonde, M., Guillermin, R., Fouan, D., Lin, F., Tourniaire, F., Cristea, A., Novell, A., et Franceschini, E., « Ultrasound imaging using CMUT- Techniques developed in the frame of the ANR BBMUT project », IRBM - Innovation and Research in BioMedical Engineering, 2015.
  51. [SALL-15]S. Salles, Chee, A., Garcia, D., Yu, A., Vray, D., et Liebgott, H., « 2D Arterial wall motion imaging using ultrafast ultrasound and transverse oscillations », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, p. 1047-1058, 2015.
  52. [WANG-15a]L. Wang, Basarab, A., P. R. Girard, Croisille, P., Clarysse, P., et Delachartre, P., « Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation », Medical Image Analysis, vol. 24, p. 149-162, 2015.
  53. [LENG-15]M. Lenge, Ramalli, A., Tortoli, P., Cachard, C., et 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, p. 2126 - 2137, 2015.
  54. [TORT-15]P. Tortoli, Lenge, M., Righi, D., Ciuti, G., Liebgott, H., et Ricci, S., « Comparison of carotif artery blood velocity measurments by vector and standard Doppler approaches », Ultrasound in Medicine and Biology, p. accepted, 2015.
  55. [ZAHN-15a]G. Zahnd, Balocco, S., Sérusclat, A., Moulin, P., Orkisz, M., et Vray, D., « Progressive attenuation of the longitudinal kinetics in the common carotid artery: preliminary in vivo assessment », Ultrasound in Medicine & Biology, vol. 41, p. 339-345, 2015.
  56. [carmona2015green]M. Carmona, Michel, O., Lacoume, J. L., NICOLAS, B., et Vincent, R., « On Green’s correlation of Stokes’ equation », Wave Motion, vol. 56, p. 183–198, 2015.
  57. [SALL-15b]S. Salles, Liebgott, H., Garcia, D., et Vray, D., « Full 3D transverse oscillations: a method for tissue motion estimation », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, 2015.
  58. [ZAHN-15]G. Zahnd, Salles, S., Serusclat, A., Moulin, P., Liebgott, H., et Vray, D., « Real-time ultrasound-tagging to track the 2D motion of the common carotid artery wall in vivo », Medical Physics, vol. 42, p. 820-830, 2015.
  59. [LI-15]S. Li, Montcel, B., Liu, W. Y., Yuan, Z., et Vray, D., « Multigrid-based reconstruction algorithm for quantitative photoacoustic tomography », Biomedical Optics Express, vol. 6, p. 2424-2434, 2015.
    https://www.osapublishing.org/boe/viewmedia.cfm?uri=boe-6-7-2424&seq=0
  60. [TOUL-15a]M. Toulemonde, Basset, O., Tortoli, P., et Cachard, C., « Thomson’s multitaper approach combined with coherent plane-wave compounding to reduce speckle in ultrasound imaging », Ultrasonics, vol. 56, p. 390-398, 2015.
  61. [MAUR-15]R. L. Maurice, Vaujois, L., Dahdah, N., Nuyt, A., et Bigras, J., « COMPARING CAROTID AND BRACHIAL ARTERY STIFFNESS: A FIRST STEP TOWARD MECHANICAL MAPPING OF THE ARTERIAL TREE », Ultrasound in Medicine and Biology, vol. 2015, p. in press, 2015.
  62. [LIN-15a]F. Lin, Cachard, C., Varray, F., et Basset, O., « Generalization of Multi-pulse Transmission Techniques for Ultrasound Imaging », Ultrasonic Imaging, vol. 37, p. 294-311, 2015.
    http://uix.sagepub.com/content/37/4/294.reprint
  63. [LORI-15a]O. Lorintiu, Liebgott, H., Alessandrini, M., Bernard, O., et Friboulet, D., « Compressed sensing reconstruction of 3D ultrasound data using dictionary learning and line-wise subsampling », IEEE Transactions on Medical Imaging, vol. 34, p. 2467-2477, 2015.
  64. [LENG-14b]M. Lenge, Ramalli, A., Boni, E., Liebgott, H., Cachard, C., et 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.
  65. [ALES-14]M. Alessandrini, Basarab, A., Boussel, L., Guo, X., Sérusclat, A., Friboulet, D., Kouamé, D., Bernard, O., et 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, p. 1148-1162, 2014.
  66. [BRUS-14]E. Brusseau, Detti, V., Coulon, A., Maissiat, E., Boublay, N., Berthezène, Y., Fromageau, J., Bush, N., et Bamber, J., « In vivo response to compression of 35 breast lesions observed with a two−dimensional locally regularized strain estimation method », Ultrasound in Medicine and Biology, vol. 40, p. 300-312, 2014.
  67. [ZHAO-14]Y. Zhao, Bernard, A., Cachard, C., et Liebgott, H., « Biopsy needle localization and tracking using ROI-RK method », Abstract and Applied Analysis, vol. in press, 2014.
  68. [PRES-14]B. Presles, Fargier-Voiron, M., Biston, M. C., Lynch, R., Munoz, A., Liebgott, H., Pommier, P., Rit, S., et 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
  69. [LI-14c]S. Li, Montcel, B., Liu, W. Y., et Vray, D., « Analytical model of optical fluence inside multiple cylindrical inhomogeneities embedded in an otherwise homogeneous turbid medium for quantitative photoacoustic imaging », Optics Express, vol. 22, 2014.PDF icon oe-22-17-20500.pdf (2.1 MB)
  70. [ZAHN-14]G. Zahnd, Orkisz, M., Sérusclat, A., Moulin, P., et Vray, D., « Simultaneous extraction of carotid artery intima-media interfaces in ultrasound images - Assessment of wall thickness temporal variation during the cardiac cycle », Int J Comput Assist Radiol Surg, vol. 9, p. 645-658, 2014.
  71. [FARG-14]M. Fargier-Voiron, Presles, B., Pommier, P., Rit, S., Munoz, A., Liebgott, H., Sarrut, D., et 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
  72. [ZHAO-14b]Y. Zhao, Liebgott, H., et Cachard, C., « A comparison of the existing tool localization methods on 2D ultrasound images and their tracking results », IET Control Theory & Applications, 2014.
  73. [GUO-14]X. Guo, Liebgott, H., et Friboulet, D., « Back-propagation beamformer design for motion estimation in echocardiography », Ultrasonic Imaging, vol. 37, p. 179-204, 2014.
  74. [Maur-14]R. L. Maurice, Vaujois, L., Dahdah, N., Chibab, N., Maurice, A., Nuyt, A. - M., Lévy, É., et Bigras, J. - L., « Carotid wall elastography to assess mid-term vascular dysfunction secondary to intra-uterine growth restriction: Feasibility and comparison with standardized intima-media-thickness », Ultrasound in Medicine and Biology, 2014.
  75. [SALL-14c]S. Salles, Liebgott, H., Basset, O., Cachard, C., Vray, D., et Lavarello, R., « Experimental Evaluation of Spectral-Based Quantitative Ultrasound Imaging Using Plane Wave Compounding », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 61, p. 1824-1834, 2014.
  76. [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., et Glatard, T., « OntoVIP: an ontology for the annotation of object models used for medical image simulation », Journal of Biomedical Informatics, vol. 52, p. 279-292, 2014.
  77. [HOLS-13]K. Holst, Liebgott, H., Wilhjelm, J. E., Nikolov, S., Torp-Pedersen, T., Delachartre, P., et Jensen, J. A., « Internal Strain Estimation for Quantification of Human Heel Pad Elastic Modulus: a Phantom Study », Ultrasonics, vol. 53, p. 439–446, 2013.
    http://www.sciencedirect.com/science/article/pii/S0041624X1200162X?v=s5
  78. [VARR-13d]F. Varray et Liebgott, H., « Multi-Resolution Transverse Oscillation in Ultrasound Imaging for Motion Estimation », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 60, p. 1333-1342, 2013.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6552385
  79. [ZAHN-13a]G. Zahnd, Orkisz, M., Sérusclat, A., Moulin, P., et Vray, D., « Evaluation of a Kalman-based block matching method to assess the bi-dimensional motion of the carotid artery wall in B-mode ultrasound sequences », Medical Image Analysis, vol. 17, p. 573–585, 2013.
  80. [ALES-13b]M. Alessandrini, Bernard, O., Basarab, A., et Liebgott, H., « Multiscale optical flow computation from the monogenic signal », IRBM, vol. 34, p. 33-37, 2013.
  81. [ZHAO-13]Y. Zhao, Cachard, C., et Liebgott, H., « Auromatic Needle Detection and Tracking in 3D Ultrasound Using an ROI-Based RANSAC and Kalman Method », Ultrasonic Imaging, vol. 35, 2013.
  82. [DIAR-13a]B. Diarra, Robini, M., Tortoli, P., Cachard, C., et Liebgott, H., « Design of optimal 2-D non-grid sparse arrays for medical ultrasound », IEEE Transactions on Biomedical Engineering, vol. 60, p. 3093 - 3102 , 2013.
  83. [Uher-13]M. Uhercik, Kybic, J., Zhao, Y., Cachard, C., et 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
  84. [RICH-13]J. Richy, Friboulet, D., Bernard, A., Bernard, O., et Liebgott, H., « Blood Velocity Estimation Using Compressive Sensing », IEEE Transactions on Medical Imaging, vol. 32, p. 1979-1988, 2013.
  85. [VARR-13c]F. Varray, Basset, O., Tortoli, P., et Cachard, C., « CREANUIS: A Nonlinear Radio Frequency Ultrasound Image Simulator », Ultrasound in Medicine and Biology, vol. 39, p. 1915-1924, 2013.
    http://www.sciencedirect.com/science/article/pii/S0301562913006832
  86. [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., et Saloux, E., « 3D Strain Assessment in Ultrasound (Straus): A synthetic comparison of five tracking methodologies », IEEE Transactions on Medical Imaging, vol. PP, 2013.
  87. [Bonn-13]J. Bonnel, Touzé, G., NICOLAS, B., et Mars, J. I., « Power class Time-Frequency Representations for underwater acoustics using waveguide invariant approximation », Signal Processing Magazine, Special Issue on Time-Frequency, p. 120-129, 2013.
  88. [LIEB-13]H. Liebgott, Prost, R., et Friboulet, D., « Pre-beamformed RF signal reconstruction in medical ultrasound using compressive sensing », Ultrasonics, vol. 53, p. 525–533, 2013.
  89. [LIN-13]F. Lin, Cachard, C., Mori, R., Varray, F., Guidi, F., et Basset, O., « Ultrasound Contrast Imaging: Influence of Scatterer Motion in Multi-pulse Techniques », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 60, p. 2065-2078, 2013.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6604538
  90. [ALES-13]M. Alessandrini, Basarab, A., Liebgott, H., et Bernard, O., « Myocardial Motion Estimation from Medical Images Using the Monogenic Signal », IEEE Transactions on Image Processing, vol. 22, p. 1084-1095, 2013.
  91. [ZAHN-12a]G. Zahnd, Vray, D., Serusclat, A., Alibay, D., Bartold, M., Durand, M., Jamieson, L., Kapellas, K., Maple-Brown, L., O'Dea, K., Moulin, P., Celermajer, D., et Skilton, M., « Longitudinal displacement of the carotid wall and cardiovascular risk factors: associations with aging, adiposity, blood pressure and periodontal disease independent of cross-sectional distensibility and intima-media thickness », Ultrasound in Medicine & Biology, vol. 38, p. 1705-1715, 2012.
  92. [RAMA-12]A. Ramalli, Basset, O., Cachard, C., Boni, E., et Tortoli, P., « Frequency domain-based strain estimation and high frame-rate imaging for quasi-static elastography », IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 59, p. 817-824, 2012.
  93. [PASO-11]M. Pasovic, Danilouchkine, M., van Neer, P., Cachard, C., Van Der Steen, A. F. W., Basset, O., et De Jong, N., « Second harmonic inversion for ultrasound contrast harmonic imaging », Physics in Medicine and Biology, vol. 56, 2011.
    http://stacks.iop.org/0031-9155/56/i=11/a=001
  94. [VARR-11e]F. Varray, Cachard, C., Ramalli, A., Tortoli, P., et Basset, O., « Simulation of Ultrasound Nonlinear Propagation on GPU Using a Generalized Angular Spectrum Method », EURASIP Journal on Image and Video Processing, vol. 17, 2011.
    http://jivp.eurasipjournals.com/content/pdf/1687-5281-2011-17.pdf
  95. [DEPR-11]J. F. Deprez, Brusseau, E., Fromageau, J., Cloutier, G., et Basset, O., « On the potential of ultrasound elastography for pressure ulcer early detection », Medical Physics, vol. 38, p. 1943-1950, 2011.
  96. [MERC-11]E. Mercure, Deprez, J. F., Fromageau, J., Basset, O., Soulez, G., Cloutier, G., et Maurice, R. L., « A compensative model for the angle-dependence of motion estimates in non-invasive vascular elastography », Medical Physics, vol. 38, p. 727-735, 2011.
  97. [DETT-11]V. Detti, Grenier, D., Perrin, E., et Beuf, O., « Assessment of RF self-heating around a metallic wire with MR T1-based thermometry », Magn Reson Med, vol. 66, p. 448-455, 2011.
  98. [ZAHN-11d]G. Zahnd, Boussel, L., Marion, A., Durand, M., Moulin, P., Sérusclat, A., et Vray, D., « Measurement of two-dimensional movement parameters of the carotid artery wall for early detection of arteriosclerosis: a preliminary clinical study. », Ultrasound in Medicine & Biology, vol. 37, nᵒ 9, p. 1421-9, 2011.
  99. [ALES-11a]M. Alessandrini, Dietenbeck, T., Basset, O., Friboulet, D., et Bernard, O., « Using a geometric formulation of annular-like shape priors for constraining variational level-sets », Pattern Recognition Letters, vol. 32, p. 1240–1249, 2011.
  100. [CLAR-11]P. Clarysse, Tafazzoli, J., Delachartre, P., et Croisille, P., « Simulation based evaluation of cardiac motion estimation methods in tagged-MR Image sequences », Journal of Cardiovascular Magnetic Resonance, vol. 13, p. P360, 2011.
    http://jcmr-online.com/content/13/S1/P360

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