D. Nain, A. Yezzi, and G. Turk, Vessel Segmentation Using a Shape Driven Flow, LECTURE NOTES IN COMPUTER SCIENCE, pp.51-59, 2004.
DOI : 10.1007/978-3-540-30135-6_7

M. Kass, A. P. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988.
DOI : 10.1007/BF00133570

L. M. Lorigo, W. E. Grimson, O. D. Faugeras, R. Keriven, R. Kikinis et al., Codimension-two geodesic active contours for the segmentation of tubular structures, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.1444-1451, 2000.
DOI : 10.1109/CVPR.2000.855853

A. Vasilevskiy and K. Siddiqi, Flux maximizing geometric flows, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.12, pp.1565-1578, 2002.
DOI : 10.1109/TPAMI.2002.1114849

D. Nain, A. J. Yezzi, and G. Turk, Vessel Segmentation Using a Shape Driven Flow, Lecture Notes in Computer Science, vol.3216, issue.1, pp.51-59, 2004.
DOI : 10.1007/978-3-540-30135-6_7

R. Manniesing, B. Velthuis, M. Van-leeuwen, I. Van-der-schaaf, P. Van-laar et al., Level set based cerebral vasculature segmentation and diameter quantification in CT angiography, Medical Image Analysis, vol.10, issue.2, 2006.
DOI : 10.1016/j.media.2005.09.001

H. Li and A. Yezzi, Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines, IEEE Transactions on Medical Imaging, vol.26, issue.9, pp.1213-1223, 2007.
DOI : 10.1109/TMI.2007.903696

L. D. Cohen and R. Kimmel, Global minimum for active contour models: a minimal path approach, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.666-673, 1996.
DOI : 10.1109/CVPR.1996.517144

S. Bouix, K. Siddiqi, and A. Tannenbaum, Flux driven automatic centerline extraction, Medical Image Analysis, vol.9, issue.3, pp.209-221, 2005.
DOI : 10.1016/j.media.2004.06.026

L. Zhu, S. Haker, and A. Tannenbaum, Flattening Maps for the Visualization of Multibranched Vessels, IEEE Transactions on Medical Imaging, vol.24, issue.2, pp.191-198, 2005.

L. Wang and A. Bhalerao, Model Based Detection of Branching Structures, Proc. Medical Image Understanding and Analysis, 2002.

Y. Yang, L. Zhu, S. Haker, A. Tannenbaum, and D. Giddens, Harmonic Skeleton Guided Evaluation of Stenoses in Human Coronary Arteries, Lecture Notes in Computer Science, vol.3749, p.490, 2005.
DOI : 10.1007/11566465_61

V. Mohan, G. Sundaramoorthi, J. Melonakos, M. Niethammer, M. Kubicki et al., Tubular Surface Evolution for Segmentation of the Cingulum Bundle From DW-MRI
URL : https://hal.archives-ouvertes.fr/inria-00632883

E. Pichon, Novel methods for multidimensional image segmentation, 2005.

E. Pichon, C. F. Westin, and A. Tannenbaum, Anisotropic conformal flows and dt-mri tractography, In: MICCAI, 2005.

J. Melonakos, E. Pichon, S. Angenent, and A. Tannenbaum, Finsler Active Contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.3
DOI : 10.1109/TPAMI.2007.70713

T. Chan and L. Vese, Active contours without edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266-277, 2001.
DOI : 10.1109/83.902291

G. Sundaramoorthi, A. J. Yezzi, A. Mennucci, and G. Sapiro, New possibilities with Sobolev active contours, In: SSVM, pp.153-164, 2007.

T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman et al., An efficient k-means clustering algorithm: analysis and implementation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.881-892, 2002.
DOI : 10.1109/TPAMI.2002.1017616

J. Hartigan and M. Wong, A K-means clustering algorithm, JR Stat. Soc. Ser. C-Appl. Stat, vol.28, pp.100-108, 1979.