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Volumn 8331 LNCS, Issue , 2014, Pages 74-83

Integrated spatio-temporal segmentation of longitudinal brain tumor imaging studies

Author keywords

Brain tumor; Glioma; Longitudinal studies; Segmentation; Volumetric analysis

Indexed keywords

EXPERIMENTS; IMAGE SEGMENTATION; MEDICAL APPLICATIONS; MEDICAL IMAGING; TUMORS; VOLUMETRIC ANALYSIS;

EID: 84958522689     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-05530-5_8     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 2
    • 82355173220 scopus 로고    scopus 로고
    • Differential MRI analysis for quantification of low grade glioma growth
    • Angelini, E., Delon, J., Bah, A.B., Capelle, L., Mandonnet, E.: Differential MRI analysis for quantification of low grade glioma growth. Med. Image Anal. 16(1), 114-126 (2012)
    • (2012) Med. Image Anal. , vol.16 , Issue.1 , pp. 114-126
    • Angelini, E.1    Delon, J.2    Bah, A.B.3    Capelle, L.4    Mandonnet, E.5
  • 3
    • 84886650865 scopus 로고    scopus 로고
    • Segmentation of brain tumor images based on integrated hierarchical classification and regularization
    • Menze, B., Jakab, A., Bauer, S., Reyes, M., Prastawa, M., Van Leemput, K. (eds.)
    • Bauer, S., Fejes, T., Slotboom, J., Wiest, R., Nolte, L.P., Reyes, M.: Segmentation of brain tumor images based on integrated hierarchical classification and regularization. In: Menze, B., Jakab, A., Bauer, S., Reyes, M., Prastawa, M., Van Leemput, K. (eds.) Miccai Brats Workshop. Miccai Society, Nice (2012)
    • (2012) Miccai Brats Workshop. Miccai Society, Nice
    • Bauer, S.1    Fejes, T.2    Slotboom, J.3    Wiest, R.4    Nolte, L.P.5    Reyes, M.6
  • 4
    • 82255181699 scopus 로고    scopus 로고
    • Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization
    • Fichtinger, G., Martel, A., Peters, T. (eds.) Springer, Heidelberg
    • Bauer, S., Nolte, L.-P., Reyes, M.: Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 354-361. Springer, Heidelberg (2011)
    • (2011) MICCAI 2011, Part III. LNCS , vol.6893 , pp. 354-361
    • Bauer, S.1    Nolte, L.-P.2    Reyes, M.3
  • 5
    • 84879513272 scopus 로고    scopus 로고
    • A survey of MRI-based medical image analysis for brain tumor studies
    • Bauer, S., Wiest, R., Nolte, L.P., Reyes, M.: A survey of MRI-based medical image analysis for brain tumor studies. Phys. Med. Biol. 58(13), R97-R129 (2013)
    • (2013) Phys. Med. Biol. , vol.58 , Issue.13
    • Bauer, S.1    Wiest, R.2    Nolte, L.P.3    Reyes, M.4
  • 6
    • 43049179622 scopus 로고    scopus 로고
    • Efficient multilevel brain tumor segmentation with integrated bayesian model classification
    • Corso, J.J., Sharon, E., Dube, S., El-Saden, S., Sinha, U., Yuille, A.: Efficient multilevel brain tumor segmentation with integrated bayesian model classification. IEEE Trans. Med. Imaging 27(5), 629-640 (2008)
    • (2008) IEEE Trans. Med. Imaging , vol.27 , Issue.5 , pp. 629-640
    • Corso, J.J.1    Sharon, E.2    Dube, S.3    El-Saden, S.4    Sinha, U.5    Yuille, A.6
  • 10
    • 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
    • Komodakis, N., Tziritas, G., Paragios, N.: Performance vs computational efficiency for optimizing single and dynamic MRFs: setting the state of the art with primal-dual strategies. Comput. Vis. Image Underst. 112(1), 14-29 (2008)
    • (2008) Comput. Vis. Image Underst. , vol.112 , Issue.1 , pp. 14-29
    • Komodakis, N.1    Tziritas, G.2    Paragios, N.3
  • 12
  • 14
    • 33644850861 scopus 로고    scopus 로고
    • A dynamic conditional random field model for foreground and shadow segmentation
    • Wang, Y., Loe, K.F., Wu, J.K.: A dynamic conditional random field model for foreground and shadow segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 28(2), 279-289 (2006)
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.2 , pp. 279-289
    • Wang, Y.1    Loe, K.F.2    Wu, J.K.3
  • 16
    • 84872979595 scopus 로고    scopus 로고
    • Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR
    • Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) Springer, Heidelberg
    • Zikic, D., et al.: Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 369-376. Springer, Heidelberg (2012)
    • (2012) MICCAI 2012, Part III. LNCS , vol.7512 , pp. 369-376
    • Zikic, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.