364
L. Pan and X. Chen
20. D. Freedman, T. Zhang, Interactive graph cut based segmentation with shape priors, in IEEE
Conference on Computer Vision and Pattern Recognition (CVPR) (2005) pp. 755–762
21. J. Malcolm, Y. Rathi, A. Tannenbaum, Graph cut segmentation with nonlinear shape priors, in
IEEE International Conference on Image Processing (2007), pp. 365–368
22. N. Vu, B.S. Manjunath, Shape prior segmentation of multiple objects with graph cuts, in IEEE
Conference on Computer Vision and Pattern Recognition (CVPR) (2008), pp. 1–8
23. X. Chen, U. Bagci, 3D automatic anatomy segmentation based on iterative graph-cut-ASM.
Med. Phys. 38(8), 4610–4622 (2011)
24. M. Dolejší, M.D. Abràmoff, M. Sonka, J. Kybic, Semi-automated segmentation of symptomatic
exudate-associated derangements (SEADs) in 3D OCT using layer segmentation. Biosignal
(2010)
25. K. Li, X. Wu, D.Z. Chen, M. Sonka, Optimal surface segmentation in volumetric images—A
graph-theoretic approach. IEEE Trans. Pattern Anal. Mach. Intell. 28, 119–134 (2006)
26. Y. Yin, X. Zhang, R. Williams, X. Wu, D.D. Anderson, M. Sonka, LOGISMOS—Layered
optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in
the knee joint. IEEE Trans. Med. Imaging 29(12), 2023–2037 (2010)
27. B. Appleton, H. Talbot, Globally minimal surfaces by continuous maximal flows. IEEE Trans.
Pattern Anal. Pattern Recogn. (PAMI) 28(1), 106–118 (2006)
28. M.K. Garvin, M.D. Abramoff, R. Kardon, S.R. Russell, X. Wu, M. Sonka, Intraretinal layer
segmentation of macular optical coherence tomography images using optimal 3-D graph search.
IEEE Trans. Med. Imaging 27, 1495–1505 (2008)
29. M.K. Garvin, M.D. Abramoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE Trans. Med. Imaging 28, 1436–1447 (2009)
30. Q. Song, M. Chen, J. Bai, M. Sonka, X. Wu, Surface-region context in optimal multi-object
graph-based segmentation: robust delineation of pulmonary tumors, in Proceedings of the
22nd Biennial International Conference on Information Processing in Medical Imaging (IPMI)
(2011)
31. G. Quellec, K. Lee, M. Dolejsi, M.K. Garvin, M.D. Abramoff, M. Sonka, Three-dimensional
analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula.
IEEE Trans. Med. Imaging 29, 1321–1330 (2010)
32. M.D. Abramoff, W.L.M. Alward, E.C. Greenlee, L. Shuba, C.Y. Kim, J.H. Fingert, Y.H. Kwon,
Automated segmentation of the optic disc from stereo color photographs using physiologically
plausible features. Invest. Ophthalmol. Vis. Sci. 48(4), 1665–1673 (2007)
33. S. Arya, D.M. Mount, N.S. Netanyahu, R. Silverman, A.Y. Wu, An optimal algorithm for
approximate nearest neighbor searching. J. ACM 45, 891–923 (1998)
34. M. Niemeijer, B. v Ginneken, J. Staal, M.S.A. Suttorp-Schulten, M.D. Abràmoff, Automatic
detection of red lesions in digital color fundus photographs. IEEE Trans. Med. Imaging 24(5),
584–592 (2005)
35. J.A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization
Theory and Classical and New Gradient-Based Algorithms (Springer, 2005). ISBN0-38724348-8
36. X. Wu, D.Z. Chen, Optimal net surface problems with applications. ICALP 1029–1042 (2002)
37. W.J. Krzanowski, Principles of Multivariate Analysis (Oxford University Press, New York,
1988)
38. J.K. Udupa, V.R. Leblanc, Y. Zhuge, C. Imielinska, H. Schmidt, L.M. Currie, B.E. Hirsch,
J. Woodburn, A framework for evaluating image segmentation algorithms. Comput. Med.
Imaging Graph. 30(2), 75–87 (2006). [PubMed: 16584976]
39. D.R. Cox, D.V. Hinkley, Theoretical Statistics (Chapman & Hall (Appendix 3), 1974). ISBN
0412124203
40. J.M. Bland, D.G. Altman, Statistical methods for assessing agreement between two methods
of clinical measurement. Lancet 1, 307–310 (1986). [PubMed: 2868172]
41. M. Christopher, D.C. Moga, S.R. Russell, J.C. Folk, T. Scheetz, M.D. Abràmoff, Validation of
tablet-based evaluation of color fundus images. Retina (2012) (in press)
L. Pan and X. Chen
20. D. Freedman, T. Zhang, Interactive graph cut based segmentation with shape priors, in IEEE
Conference on Computer Vision and Pattern Recognition (CVPR) (2005) pp. 755–762
21. J. Malcolm, Y. Rathi, A. Tannenbaum, Graph cut segmentation with nonlinear shape priors, in
IEEE International Conference on Image Processing (2007), pp. 365–368
22. N. Vu, B.S. Manjunath, Shape prior segmentation of multiple objects with graph cuts, in IEEE
Conference on Computer Vision and Pattern Recognition (CVPR) (2008), pp. 1–8
23. X. Chen, U. Bagci, 3D automatic anatomy segmentation based on iterative graph-cut-ASM.
Med. Phys. 38(8), 4610–4622 (2011)
24. M. Dolejší, M.D. Abràmoff, M. Sonka, J. Kybic, Semi-automated segmentation of symptomatic
exudate-associated derangements (SEADs) in 3D OCT using layer segmentation. Biosignal
(2010)
25. K. Li, X. Wu, D.Z. Chen, M. Sonka, Optimal surface segmentation in volumetric images—A
graph-theoretic approach. IEEE Trans. Pattern Anal. Mach. Intell. 28, 119–134 (2006)
26. Y. Yin, X. Zhang, R. Williams, X. Wu, D.D. Anderson, M. Sonka, LOGISMOS—Layered
optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in
the knee joint. IEEE Trans. Med. Imaging 29(12), 2023–2037 (2010)
27. B. Appleton, H. Talbot, Globally minimal surfaces by continuous maximal flows. IEEE Trans.
Pattern Anal. Pattern Recogn. (PAMI) 28(1), 106–118 (2006)
28. M.K. Garvin, M.D. Abramoff, R. Kardon, S.R. Russell, X. Wu, M. Sonka, Intraretinal layer
segmentation of macular optical coherence tomography images using optimal 3-D graph search.
IEEE Trans. Med. Imaging 27, 1495–1505 (2008)
29. M.K. Garvin, M.D. Abramoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE Trans. Med. Imaging 28, 1436–1447 (2009)
30. Q. Song, M. Chen, J. Bai, M. Sonka, X. Wu, Surface-region context in optimal multi-object
graph-based segmentation: robust delineation of pulmonary tumors, in Proceedings of the
22nd Biennial International Conference on Information Processing in Medical Imaging (IPMI)
(2011)
31. G. Quellec, K. Lee, M. Dolejsi, M.K. Garvin, M.D. Abramoff, M. Sonka, Three-dimensional
analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula.
IEEE Trans. Med. Imaging 29, 1321–1330 (2010)
32. M.D. Abramoff, W.L.M. Alward, E.C. Greenlee, L. Shuba, C.Y. Kim, J.H. Fingert, Y.H. Kwon,
Automated segmentation of the optic disc from stereo color photographs using physiologically
plausible features. Invest. Ophthalmol. Vis. Sci. 48(4), 1665–1673 (2007)
33. S. Arya, D.M. Mount, N.S. Netanyahu, R. Silverman, A.Y. Wu, An optimal algorithm for
approximate nearest neighbor searching. J. ACM 45, 891–923 (1998)
34. M. Niemeijer, B. v Ginneken, J. Staal, M.S.A. Suttorp-Schulten, M.D. Abràmoff, Automatic
detection of red lesions in digital color fundus photographs. IEEE Trans. Med. Imaging 24(5),
584–592 (2005)
35. J.A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization
Theory and Classical and New Gradient-Based Algorithms (Springer, 2005). ISBN0-38724348-8
36. X. Wu, D.Z. Chen, Optimal net surface problems with applications. ICALP 1029–1042 (2002)
37. W.J. Krzanowski, Principles of Multivariate Analysis (Oxford University Press, New York,
1988)
38. J.K. Udupa, V.R. Leblanc, Y. Zhuge, C. Imielinska, H. Schmidt, L.M. Currie, B.E. Hirsch,
J. Woodburn, A framework for evaluating image segmentation algorithms. Comput. Med.
Imaging Graph. 30(2), 75–87 (2006). [PubMed: 16584976]
39. D.R. Cox, D.V. Hinkley, Theoretical Statistics (Chapman & Hall (Appendix 3), 1974). ISBN
0412124203
40. J.M. Bland, D.G. Altman, Statistical methods for assessing agreement between two methods
of clinical measurement. Lancet 1, 307–310 (1986). [PubMed: 2868172]
41. M. Christopher, D.C. Moga, S.R. Russell, J.C. Folk, T. Scheetz, M.D. Abràmoff, Validation of
tablet-based evaluation of color fundus images. Retina (2012) (in press)