Benefits of minimum-variance beamforming in medical ultrasound imaging, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.56, issue.9, pp.1868-1879, 2009. ,
DOI : 10.1109/TUFFC.2009.1263
Minimum variance beamforming combined with adaptive coherence weighting applied to medical ultrasound imaging, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.56, issue.9, pp.1923-1931, 2009. ,
DOI : 10.1109/TUFFC.2009.1268
Broadband minimum variance beamforming for ultrasound imaging, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.56, issue.2, pp.314-325, 2009. ,
DOI : 10.1109/TUFFC.2009.1040
URL : http://orbit.dtu.dk/files/4373217/Holfort.pdf
The iterative adaptive approach in medical ultrasound imaging, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.61, issue.10, pp.1688-1697, 2014. ,
DOI : 10.1109/TUFFC.2014.006478
Beamforming Through Regularized Inverse Problems in Ultrasound Medical Imaging, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.63, issue.12, 2015. ,
DOI : 10.1109/TUFFC.2016.2608939
URL : https://hal.archives-ouvertes.fr/hal-01474905
Linear programming in spectral estimation Application to array processing ICASSP-96, IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, pp.3161-3164, 1996. ,
DOI : 10.1109/icassp.1996.550547
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.9133
Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005. ,
DOI : 10.1073/pnas.201162998
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.4696
Elastic-net regularization in learning theory, Journal of Complexity, vol.25, issue.2, pp.201-230, 2009. ,
DOI : 10.1016/j.jco.2009.01.002
Beamspace DOA estimation featuring multirate eigenvector processing, IEEE Transactions on Signal Processing, vol.44, issue.7, pp.1765-1778, 1996. ,
DOI : 10.1109/78.510623
A sparse signal reconstruction perspective for source localization with sensor arrays, IEEE Transactions on Signal Processing, vol.53, issue.8, pp.3010-3022, 2005. ,
DOI : 10.1109/TSP.2005.850882
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.4199
Van Trees, Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, pp.926-930, 2001. ,
Solving Structured Sparsity Regularization with Proximal Methods, Machine Learning and Knowledge Discovery in Databases number 6322 in Lecture Notes in Computer Science, pp.418-433, 2010. ,
DOI : 10.1007/978-3-642-15883-4_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.8787
Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.39, issue.2, pp.262-267, 1992. ,
DOI : 10.1109/58.139123
URL : http://orbit.dtu.dk/files/3865042/Jensen.pdf
Spatio-temporally smoothed coherence factor for ultrasound imaging [Correspondence], IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.61, issue.1, pp.182-190, 2014. ,
DOI : 10.1109/TUFFC.2014.6689786
Understanding contrast improvements from capon beamforming, 2014 IEEE International Ultrasonics Symposium, pp.1694-1697, 2014. ,
DOI : 10.1109/ULTSYM.2014.0420