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Volumn , Issue , 2011, Pages 989-995

Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors

Author keywords

Clustering; Graph Rigidity; Machine Learning; MRF; Outliers; Segmentation; Shape Modeling; Sparse Graphs

Indexed keywords

GRAPH THEORY; GRAPHIC METHODS; LEARNING SYSTEMS; MEDICAL IMAGING; NAVIGATION; OPTIMIZATION; PATTERN MATCHING; STATISTICS;

EID: 80055045596     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872568     Document Type: Conference Paper
Times cited : (26)

References (23)
  • 1
    • 0029182228 scopus 로고
    • Active shape models - Their training and application
    • 1, 2
    • T. Cootes, C. Taylor, D. Cooper, and J. Graham, "Active shape models - their training and application," CVIU, vol. 61, no. 1, pp. 38-59, 1995. 1, 2
    • (1995) CVIU , vol.61 , Issue.1 , pp. 38-59
    • Cootes, T.1    Taylor, C.2    Cooper, D.3    Graham, J.4
  • 2
    • 0033682441 scopus 로고    scopus 로고
    • Statistical shape influence in geodesic active contours
    • 1
    • M. Leventon, W. Grimson, and O. Faugeras, "Statistical shape influence in geodesic active contours," in CVPR, 2000. 1
    • (2000) CVPR
    • Leventon, M.1    Grimson, W.2    Faugeras, O.3
  • 3
    • 0002902191 scopus 로고    scopus 로고
    • Nonlinear shape statistics in mumford-shah based segmentation
    • 1
    • D. Cremers, T. Kohlberger, and C. Schnörr, "Nonlinear shape statistics in Mumford-Shah based segmentation," in ECCV, 2002. 1
    • (2002) ECCV
    • Cremers, D.1    Kohlberger, T.2    Schnörr, C.3
  • 4
    • 70450177579 scopus 로고    scopus 로고
    • Shape priors and discrete MRFs for knowledge-based segmentation
    • 1, 2
    • A. Besbes, N. Komodakis, G. Langs, and N. Paragios, "Shape priors and discrete MRFs for knowledge-based segmentation," in CVPR, 2009. 1, 2
    • (2009) CVPR
    • Besbes, A.1    Komodakis, N.2    Langs, G.3    Paragios, N.4
  • 5
    • 70449337373 scopus 로고    scopus 로고
    • Graph-based knowledge-driven discrete segmentation of the left ventricle
    • 1, 2
    • A. Besbes, N. Komodakis, and N. Paragios, "Graph-based knowledge-driven discrete segmentation of the left ventricle," in ISBI, 2009. 1, 2
    • (2009) ISBI
    • Besbes, A.1    Komodakis, N.2    Paragios, N.3
  • 6
    • 34547561336 scopus 로고    scopus 로고
    • Minimal shape and intensity cost path segmentation
    • 1, 4, 5
    • D. Seghers, D. Loeckx, F. Maes, D. Vandermeulen, and P. Suetens, "Minimal shape and intensity cost path segmentation," IEEE T-MI, vol. 26, no. 8, pp. 1115-1129, 2007. 1, 4, 5
    • (2007) IEEE T-MI , vol.26 , Issue.8 , pp. 1115-1129
    • Seghers, D.1    Loeckx, D.2    Maes, F.3    Vandermeulen, D.4    Suetens, P.5
  • 7
    • 77649336710 scopus 로고    scopus 로고
    • Generalized sparse MRF appearance models
    • 1
    • R. Donner, G. Langs, B. Micusík, and H. Bischof, "Generalized sparse MRF appearance models," IVC, vol. 28, no. 6, pp. 1031-1038, 2010. 1
    • (2010) IVC , vol.28 , Issue.6 , pp. 1031-1038
    • Donner, R.1    Langs, G.2    Micusík, B.3    Bischof, H.4
  • 8
    • 80055033033 scopus 로고    scopus 로고
    • 3D knowledge-based segmentation using pose-invariant higherorder graphs
    • 1
    • C. Wang, O. Teboul, F. Michel, S. Essafi, and N. Paragios, "3D knowledge-based segmentation using pose-invariant higherorder graphs," in MICCAI, 2010. 1
    • (2010) MICCAI
    • Wang, C.1    Teboul, O.2    Michel, F.3    Essafi, S.4    Paragios, N.5
  • 9
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • 1, 4
    • Y. Freund and R. Schapire, "Experiments with a new boosting algorithm," in ICML, 1996. 1, 4
    • (1996) ICML
    • Freund, Y.1    Schapire, R.2
  • 10
    • 84898492442 scopus 로고    scopus 로고
    • Sparse MRF appearance models for fast anatomical structure localisation
    • 2, 4, 5
    • R. Donner, B. Micusík, G. Langs, and H. Bischof, "Sparse MRF appearance models for fast anatomical structure localisation," in BMVC, 2007. 2, 4, 5
    • (2007) BMVC
    • Donner, R.1    Micusík, B.2    Langs, G.3    Bischof, H.4
  • 13
    • 33750130937 scopus 로고    scopus 로고
    • Graphical models and point pattern matching
    • 3
    • T. Caetano, T. Caelli, D. Schuurmans, and D. Barone, "Graphical models and point pattern matching," IEEE T-PAMI, vol. 28, no. 10, pp. 1646-1663, 2006. 3
    • (2006) IEEE T-PAMI , vol.28 , Issue.10 , pp. 1646-1663
    • Caetano, T.1    Caelli, T.2    Schuurmans, D.3    Barone, D.4
  • 14
    • 38248998501 scopus 로고
    • On the SPANNING k-TREE problem
    • 3
    • L. Cai and F. Maffray, "On the SPANNING k-TREE problem," Discrete Appl. Math., vol. 44, no. 1-3, pp. 139-156, 1993. 3
    • (1993) Discrete Appl. Math. , vol.44 , Issue.1-3 , pp. 139-156
    • Cai, L.1    Maffray, F.2
  • 15
    • 51949093279 scopus 로고    scopus 로고
    • Modeling the structure of multi-variate manifolds: Shape maps
    • 3
    • G. Langs and N. Paragios, "Modeling the structure of multi-variate manifolds: Shape maps," in CVPR, 2008. 3
    • (2008) CVPR
    • Langs, G.1    Paragios, N.2
  • 17
    • 24644514946 scopus 로고    scopus 로고
    • Spatial priors for part-based recognition using statistical models
    • 3
    • D. Crandall, P. Felzenszwalb, and D. Huttenlocher, "Spatial priors for part-based recognition using statistical models," in CVPR, 2005. 3
    • (2005) CVPR
    • Crandall, D.1    Felzenszwalb, P.2    Huttenlocher, D.3
  • 20
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • 4
    • V. Kolmogorov, "Convergent tree-reweighted message passing for energy minimization," IEEE T-PAMI, vol. 28, no. 10, pp. 1568-1583, 2006. 4
    • (2006) IEEE T-PAMI , vol.28 , Issue.10 , pp. 1568-1583
    • Kolmogorov, V.1
  • 21
    • 52949110978 scopus 로고    scopus 로고
    • Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal dual strategies
    • 5
    • N. Komodakis, G. Tziritas, and N. Paragios, "Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal dual strategies," CVIU, vol. 112, no. 1, pp. 14-29, 2008. 5
    • (2008) CVIU , vol.112 , Issue.1 , pp. 14-29
    • Komodakis, N.1    Tziritas, G.2    Paragios, N.3
  • 22
    • 28744449143 scopus 로고    scopus 로고
    • Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database
    • 5
    • B. van Ginneken, M. Stegmann, and M. Loog, "Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database," MedIA, vol. 10, no. 1, pp. 19-40, 2006. 5
    • (2006) MedIA , vol.10 , Issue.1 , pp. 19-40
    • Van Ginneken, B.1    Stegmann, M.2    Loog, M.3
  • 23
    • 0033986483 scopus 로고    scopus 로고
    • Development of a digital image database for chest radiographs with and without a lung nodule: Receiver operating characteristic analysis of radiologists' detection of pulmonary nodules
    • 5
    • J. Shiraishi, S. Katsuragawa, J. Ikezoe, T. Matsumoto, T. Kobayashi, K. Komatsu, M. Matsui, H. Fujita, Y. Kodera, and K. Doi, "Development of a digital image database for chest radiographs with and without a lung nodule: Receiver operating characteristic analysis of radiologists' detection of pulmonary nodules," Am. J. Roentgenol., vol. 174, pp. 71-74, 2000. 5
    • (2000) Am. J. Roentgenol. , vol.174 , pp. 71-74
    • Shiraishi, J.1    Katsuragawa, S.2    Ikezoe, J.3    Matsumoto, T.4    Kobayashi, T.5    Komatsu, K.6    Matsui, M.7    Fujita, H.8    Kodera, Y.9    Doi, K.10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.