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Volumn 7510 LNCS, Issue , 2012, Pages 82-90

Domain transfer learning for MCI conversion prediction

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MACHINE COMPONENTS; MEDICAL COMPUTING; NEUROIMAGING; SUPPORT VECTOR MACHINES;

EID: 84872575289     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_11     Document Type: Conference Paper
Times cited : (50)

References (15)
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  • 3
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    • Cho, Y., Seong, J.K., Jeong, Y., Shin, S.Y.: Individual subject classification for Alzheimer’s disease based on incremental learning using a spatial frequency representation of cortical thickness data. NeuroImage 59, 2217–2230 (2012)
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  • 4
    • 80054000045 scopus 로고    scopus 로고
    • An MRI-derived definition of MCI-to-AD conversion for long-term, automatic prognosis of MCI patients
    • Aksu, Y., Miller, D.J., Kesidis, G., Bigler, D.C., Yang, Q.X.: An MRI-derived definition of MCI-to-AD conversion for long-term, automatic prognosis of MCI patients. PLoS One 6, e25074 (2011)
    • (2011) Plos One , pp. 6
    • Aksu, Y.1    Miller, D.J.2    Kesidis, G.3    Bigler, D.C.4    Yang, Q.X.5
  • 5
    • 58149386194 scopus 로고    scopus 로고
    • Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI
    • Misra, C., Fan, Y., Davatzikos, C.: Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. NeuroImage 44, 1415–1422 (2009)
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    • Misra, C.1    Fan, Y.2    Davatzikos, C.3
  • 8
    • 33750729556 scopus 로고    scopus 로고
    • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    • Belkin, M., Niyogi, P., Sindhwani, V.: Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning Research 7, 2399–2434 (2006)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 9
    • 79952067946 scopus 로고    scopus 로고
    • Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI)
    • Filipovych, R., Davatzikos, C.: Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI). NeuroImage 55(3), 1109–1119 (2011)
    • (2011) Neuroimage , vol.55 , Issue.3 , pp. 1109-1119
    • Filipovych, R.1    Davatzikos, C.2
  • 10
    • 78650206305 scopus 로고    scopus 로고
    • Semi-supervised cluster analysis of imaging data
    • Filipovych, R., Resnick, S.M., Davatzikos, C.: Semi-supervised cluster analysis of imaging data. NeuroImage 54(3), 2185–2197 (2011)
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    • Filipovych, R.1    Resnick, S.M.2    Davatzikos, C.3
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    • Cross-Domain Video Concept Detection Using Adaptive SVMs
    • Yang, J., Yan, R., Hauptmann, A.G.: Cross-Domain Video Concept Detection Using Adaptive SVMs. ACM Multimedia (2007)
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    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3
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    • HAMMER: Hierarchical attribute matching mechanism for elastic registration
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.