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Volumn 5762 LNCS, Issue PART 2, 2009, Pages 767-775

Personalized modeling and assessment of the aortic-mitral coupling from 4D TEE and CT

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC CYCLES; CT DATA; CYCLIC MOTIONS; HEART VALVES; INCREMENTAL SEARCH; MITRAL VALVES; MODEL-BASED; MODEL-DRIVEN METHOD; MORPHOLOGICAL CHARACTERIZATION; PATIENT EVALUATION; PERSONALIZED MODELING; PIECEWISE AFFINES; ROBUST LEARNING; SPATIAL TEMPORALS; SPECTRUM DETECTION; STATISTICAL SHAPE MODEL; SURFACE MODELS; TRAJECTORY SPACE; VISUAL ASSESSMENTS;

EID: 84860876928     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_93     Document Type: Conference Paper
Times cited : (20)

References (13)
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    • Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT
    • Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. Springer, Heidelberg
    • Ionasec, R.I., Georgescu, B., Gassner, E., Vogt, S., Kutter, O., Scheuering, M., Navab, N., Comaniciu, D.: Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 686-694. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5241 , pp. 686-694
    • Ionasec, R.I.1    Georgescu, B.2    Gassner, E.3    Vogt, S.4    Kutter, O.5    Scheuering, M.6    Navab, N.7    Comaniciu, D.8
  • 9
    • 50649107002 scopus 로고    scopus 로고
    • Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features
    • Zheng, Y., Barbu, A., et al.: Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features. In: International Conference on Computer Vision (2007)
    • (2007) International Conference on Computer Vision
    • Zheng, Y.1    Barbu, A.2
  • 10
    • 0019574599 scopus 로고
    • RANDOM SAMPLE CONSENSUS: A PARADIGM for MODEL FITTING with APPLICATIONS to IMAGE ANALYSIS and AUTOMATED CARTOGRAPHY
    • DOI 10.1145/358669.358692
    • Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM 24(6), 381-395 (1981) (Pubitemid 12444102)
    • (1981) Communications of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler Martin, A.1    Bolles Robert, C.2
  • 11
    • 33745897632 scopus 로고    scopus 로고
    • Probabilistic boosting-tree: Learning discriminative methods for classification, recognition, and clustering
    • Tu, Z.: Probabilistic boosting-tree: Learning discriminative methods for classification, recognition, and clustering. In: International Conference on Computer Vision, pp. 1589-1596 (2005)
    • (2005) International Conference on Computer Vision , pp. 1589-1596
    • Tu, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.