메뉴 건너뛰기




Volumn 8679, Issue , 2014, Pages 323-330

Learning of atlas forest hierarchy for automatic labeling of MR brain images

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MAPPING; FORESTRY; ITERATIVE METHODS; MAGNETIC RESONANCE; ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; LEARNING SYSTEMS; MAGNETIC LEVITATION VEHICLES; MAPS; MEDICAL IMAGING;

EID: 84921813142     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10581-9_40     Document Type: Article
Times cited : (7)

References (9)
  • 1
  • 2
    • 80054102992 scopus 로고    scopus 로고
    • Iterative multi-atlas-based multi-image segmentation with tree-based registration
    • Jia, H., Yap, P.T., Shen, D.: Iterative multi-atlas-based multi-image segmentation with tree-based registration. NeuroImage 59(1), 422–430 (2012)
    • (2012) NeuroImage , vol.59 , Issue.1 , pp. 422-430
    • Jia, H.1    Yap, P.T.2    Shen, D.3
  • 3
    • 78649673803 scopus 로고    scopus 로고
    • Patchbased segmentation using expert priors: Application to hippocampus and ventricle segmentation
    • Coupé, P., Manjón, J.V., Fonov, V., Pruessner, J., Robles, M., Collins, D.L.: Patchbased segmentation using expert priors: Application to hippocampus and ventricle segmentation. NeuroImage 54(2), 940–954 (2011)
    • (2011) NeuroImage , vol.54 , Issue.2 , pp. 940-954
    • Coupé, P.1    Manjón, J.V.2    Fonov, V.3    Pruessner, J.4    Robles, M.5    Collins, D.L.6
  • 4
    • 84901691837 scopus 로고    scopus 로고
    • A generative probability model of joint label fusion for multi-atlas based brain segmentation
    • Wu, G., Wang, Q., Zhang, D., Nie, F., Huang, H., Shen, D.: A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Analysis 18(6), 881–890 (2014)
    • (2014) Medical Image Analysis , vol.18 , Issue.6 , pp. 881-890
    • Wu, G.1    Wang, Q.2    Zhang, D.3    Nie, F.4    Huang, H.5    Shen, D.6
  • 5
    • 84885942673 scopus 로고    scopus 로고
    • Atlas encoding by randomized forests for efficient label propagation
    • In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.), Springer, Heidelberg
    • Zikic, D., Glocker, B., Criminisi, A.: Atlas encoding by randomized forests for efficient label propagation. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part III. LNCS, vol. 8151, pp. 66–73. Springer, Heidelberg (2013)
    • (2013) MICCAI 2013, Part III. LNCS , vol.8151 , pp. 66-73
    • Zikic, D.1    Glocker, B.2    Criminisi, A.3
  • 7
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972–976 (2007)
    • (2007) Science , vol.315 , Issue.5814 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 8
    • 77956051102 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks and 3D brain image segmentation
    • Tu, Z., Bai, X.: Auto-context and its application to high-level vision tasks and 3D brain image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(10), 1744–1757 (2010)
    • (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.32 , Issue.10 , pp. 1744-1757
    • Tu, Z.1    Bai, X.2
  • 9
    • 64949185299 scopus 로고    scopus 로고
    • Multiatlas based segmentation of brain images: Atlas selection and its effect on accuracy
    • Aljabar, P., Heckemann, R.A., Hammers, A., Hajnal, J.V., Rueckert, D.: Multiatlas based segmentation of brain images: atlas selection and its effect on accuracy. NeuroImage 46(3), 726–738 (2009)
    • (2009) NeuroImage , vol.46 , Issue.3 , pp. 726-738
    • Aljabar, P.1    Heckemann, R.A.2    Hammers, A.3    Hajnal, J.V.4    Rueckert, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.