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Volumn 7962, Issue , 2011, Pages

Simultaneous detection of landmarks and key-frame in cardiac perfusion MRI using a joint spatial-temporal context model

Author keywords

C ardiac perfusion MRI; context model; key frame identification; landmark detection; learning based object detection

Indexed keywords

CONTEXT MODELS; KEY FRAMES; LANDMARK DETECTION; LEARNING-BASED OBJECT DETECTION; PERFUSION MRI;

EID: 79957996924     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878529     Document Type: Conference Paper
Times cited : (1)

References (9)
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    • Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features
    • Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., and Comaniciu, D., "Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features," in [Proc. ICCV], (2007).
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    • Zheng, Y.1    Barbu, A.2    Georgescu, B.3    Scheuering, M.4    Comaniciu, D.5
  • 8
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    • Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering
    • Tu, Z., "Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering," in [Proc. ICCV], 1589-1596 (2005).
    • (2005) Proc. ICCV , pp. 1589-1596
    • Tu, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.