A. Buades and J. M. Bartomeu-coll, A review of image denoising algorithms, with a new one, Multiscale Modeling & Simulation, vol.4, pp.490-530, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00271141

B. Babenko, M. Yang, and S. J. , Visual tracking with online multiple instance learning, Computer Vision and Pattern Recognition, CVPR, pp.983-990, 2009.

J. Canny, A computational approach to edge detection, Pattern Analysis and Machine Intelligence, vol.8, pp.679-698, 1986.

O. Hadjerci, A. Hafiane, D. Conte, P. Markis, P. Vieyres et al., Ultrasound median nerve localization by classification based on despeckle filtering and feature selection, 2015 IEEE International Conference on Image Processing, pp.4155-4159, 2015.

O. Hadjerci, A. Hafiane, P. Markis, D. Conte, P. Vieyres et al., Nerve detection in ultrasound images using median gabor binary pattern, Image Analysis and Recognition Lecture Notes in Computer Science, vol.II, pp.803-806, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01083075

O. Hadjerci, A. Hafiane, P. Vieyres, D. Conte, P. Makris et al., On-line learning dynamic models for nerve detection in ultrasound videos, Image Processing (ICIP), 2016 IEEE International Conference on, pp.131-135, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01405099

H. Grabner, M. G. Bischof, and H. , Real-time tracking via on-line boosting, British Machine Vision Conference, BMVC, vol.1, 2006.

J. F. Henriques, R. Caseiro, P. M. Batista, and J. , Exploiting the circulant structure of tracking-by-detection with kernels, European Conference on Computer Vision, ECCV, 2012.

M. Danelljan, F. S. Khan, M. F. Van-de-weijer, and J. , Adaptive color attributes for real-time visual tracking, Computer Vision and Pattern Recognition, CVPR, pp.1090-1097, 2014.

P. Marhofer, H. Willschke, and S. Kettner, Current concepts and future trends in ultrasound-guided regional anesthesia, Current Opinion in Anesthesiology, vol.23, issue.5, pp.632-636, 2010.

B. S. Mehmet-sezgin, Survey over image thresholding techniques and quantitative performance evaluation, Electronic Imaging, pp.146-168, 2004.

E. Thouin, A. Hafiane, P. Vieyres, N. Xylourgos, G. Triantafyllidis et al., Nerve region segmentation for ultrasound guided local regional anaesthesia (lra), Mediterranean Conference on Information Systems, 2011.

B. C. Tsui and S. Suresh, Ultrasound imaging for regional anesthesia in infants, children, and adolescentsa review of current literature and its application in the practice of extremity and trunk blocks, Anesthesiology: The Journal of the American Society of Anesthesiologists, vol.112, issue.2, pp.473-492, 2010.

V. Karnati, M. Uliyar, and S. D. , Fast non-local algorithm for image denoising, International Conference on Image Processing, ICIP, pp.3873-3876, 2009.

G. E. Woodworth, E. M. Chen, J. L. Horn, and M. F. Aziz, Efficacy of computerbased video and simulation in ultrasound-guided regional anesthesia training, Journal of clinical anesthesia, vol.26, issue.3, pp.212-221, 2014.

K. M. Zdenek-kalal and J. Matas, A computational approach to edge detection, International Conference on Pattern Recognition, ICPR, pp.2756-2759, 2010.