C. Alì-ene, J. Audibert, M. Couprie, J. Cousty, and R. Keriven, Some links between min-cuts, optimal spanning forests and watersheds, Procs. 8th International Symposium on Mathematical Morphology, pp.253-264, 2007.

S. Beucher and F. Meyer, The morphological approach to segmentation: the watershed transformation, Mathematical Morphology in Image Processing, pp.433-481, 1993.

Y. Boykov and M. P. Jolly, Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105-112, 2001.
DOI : 10.1109/ICCV.2001.937505

Y. Boykov and V. Kolmogorov, Computing geodesics and minimal surfaces via graph cuts, Proceedings Ninth IEEE International Conference on Computer Vision, pp.26-33, 2003.
DOI : 10.1109/ICCV.2003.1238310
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.6433

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1124-1137, 2004.
DOI : 10.1109/TPAMI.2004.60

Y. Boykov, O. Veksler, and R. Zabih, Markov random fields with efficient approximations, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.648-655, 1998.
DOI : 10.1109/CVPR.1998.698673
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.3857

V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.694-699
DOI : 10.1109/ICCV.1995.466871
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2196

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions, and the bayesian restoration of images, IEEE Trans. Pattern Anal. Machine Intell, vol.6, issue.6, pp.721-741, 1984.

E. Ising, Beitrag zur Theorie des Ferromagnetismus, Zeitschrift f??r Physik, vol.6, issue.4, p.235258, 1925.
DOI : 10.1007/BF02980577

Y. Li, S. Hara, and K. Shimura, A machine learning approach for locating boundaries of liver tumors in ct images, Proceedings of the 18th International Conference on Pattern Recognition, pp.400-403, 2006.

Y. Li, J. Sun, C. Tang, and H. Shum, Lazy snapping, ACM Transactions on Graphics, vol.23, issue.3, pp.303-308, 2004.
DOI : 10.1145/1015706.1015719

R. Lu, P. Marziliano, and C. H. Thng, Liver tumor volume estimation by semiautomatic segmentation method, Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.3297-3299, 2005.

F. Meyer and S. Beucher, Morphological segmentation, Journal of Visual Communication and Image Representation, vol.1, issue.1, pp.21-46, 1990.
DOI : 10.1016/1047-3203(90)90014-M

T. Popa, L. Ibanez, E. Levy, A. White, J. Bruno et al., Tumor volume measurement and volume measurement comparison plug-ins for VolView using ITK, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, pp.395-402, 2006.
DOI : 10.1117/12.655213

T. S. Sørensen, J. Stawiaski, and J. Mosegaard, Virtual open heart surgery, ACM SIGGRAPH 2006 Emerging technologies on , SIGGRAPH '06, pp.445-452, 2007.
DOI : 10.1145/1179133.1179169

J. Stawiaski and E. Decencì-ere, Computing approximate geodesics and minimal surfaces using watershed and graph-cuts, Proceedings of the The 8th International Symposium on Mathematical Morphology, pp.349-360, 2007.

J. Stawiaski and E. Decencì-ere, REGION MERGING VIA GRAPH-CUTS, Image Analysis & Stereology, vol.27, issue.1, pp.39-46, 2008.
DOI : 10.5566/ias.v27.p39-45
URL : https://hal.archives-ouvertes.fr/hal-00830726

J. Stawiaski, J. Mosegaard, and T. S. Sørensen, Virtual open heart surgery: Segmentation . Proceedings of Medicine Meets Virtual Reality 15, Stud Health Technol Inform, vol.125, pp.448-50, 2007.