# A learning-based approach for fast and robust vessel tracking in long ultrasound sequences

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 @conference{vesseltracking1,     author = {De Luca, Valeria and Tschannen, Michael and Székely, Gábor and Tanner, Christine},     title = {A learning-based approach for fast and robust vessel tracking in long ultrasound sequences},     booktitle = {Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},     pages = {518--525},     month = sep,     year = 2013,     keywords = {tracking, block-matching, learning, real-time, ultrasound},     url = {http://www.nari.ee.ethz.ch/pubs/p/vesseltracking1} } 
 \bibitem{vesseltracking1} V. De Luca, M. Tschannen, G. Székely, and C. Tanner, A learning-based approach for fast and robust vessel tracking in long ultrasound sequences,'' \emph{Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)}, pp. 518-525, Sept. 2013. 
 V. De Luca, M. Tschannen, G. Székely, and C. Tanner, "A learning-based approach for fast and robust vessel tracking in long ultrasound sequences," Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 518-525, Sept. 2013.