Y. Boykov and M. 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, 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

A. J. Buckler, J. L. Mulshine, R. Gottlieb, B. Zhao, P. D. Mozley et al., The Use of Volumetric CT as an Imaging Biomarker in Lung Cancer, Academic Radiology, vol.17, issue.1, pp.100-106, 2010.
DOI : 10.1016/j.acra.2009.07.030

C. Cigla and A. A. Alatan, Region-based image segmentation via graph cuts, ICIP, pp.2272-2275, 2008.
DOI : 10.1109/icip.2008.4712244

A. Delong and Y. Boykov, A Scalable graph-cut algorithm for N-D grids, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587464

D. M. Greig, B. T. Porteous, and A. H. Seheult, Exact maximum a posteriori estimation for binary images

L. Ikonen, Pixel queue algorithm for geodesic distance transforms, DGCI, pp.228-239, 2005.

P. Kohli, V. Lempitsky, and C. Rother, Uncertainty Driven Multi-scale Optimization, Pattern Recognition, vol.6376, pp.242-251, 2010.
DOI : 10.1007/978-3-642-15986-2_25
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.1445

V. Kolmogorov and R. Zabih, What energy functions can be minimized via graph cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.147-159, 2004.
DOI : 10.1109/TPAMI.2004.1262177
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823

V. Lempitsky and Y. Boykov, Global Optimization for Shape Fitting, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383293

N. Lermé, F. Malgouyres, and L. Létocart, Reducing graphs in graph cut segmentation, 2010 IEEE International Conference on Image Processing, pp.3045-3048, 2010.
DOI : 10.1109/ICIP.2010.5654046

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

A. K. Sinop and L. Grady, Accurate Banded Graph Cut Segmentation of Thin Structures Using Laplacian Pyramids, MICCAI, pp.896-903, 2006.
DOI : 10.1007/11866763_110

P. Strandmark and F. Kahl, Parallel and distributed graph cuts by dual decomposition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2085-2092, 2010.
DOI : 10.1109/CVPR.2010.5539886

C. Suzuki, M. R. Torkzad, H. Jacobsson, G. Aström, A. Sundin et al., Interobserver and intraobserver variability in the response evaluation of cancer therapy according to RECIST and WHO-criteria, Acta Oncologica, vol.82, issue.4, pp.509-514, 2010.
DOI : 10.2967/jnumed.109.063321

E. L. Van-persijn-van-meerten, H. Gelderblom, and J. L. Bloem, RECIST revised: implications for the radiologist. A review article on the modified RECIST guideline, European Radiology, vol.47, issue.6, pp.1456-1467, 2010.
DOI : 10.1007/s00330-009-1685-y

X. Ye, G. Beddoe, and G. Slabaugh, Graph cut-based automatic segmentation of lung nodules using shape, intensity, and spatial features, MICCAI, 2009.

B. Zhao, L. H. Schwartz, C. S. Moskowitz, M. S. Ginsberg, N. A. Rizvi et al., Lung Cancer: Computerized Quantification of Tumor Response???Initial Results, Radiology, vol.241, issue.3, pp.892-898, 2006.
DOI : 10.1148/radiol.2413051887