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Volumn 9352, Issue , 2015, Pages 255-262

Multi-view classification for identification of Alzheimer’s disease

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; DIAGNOSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MAPPING; NEUROIMAGING;

EID: 84951919993     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24888-2_31     Document Type: Conference Paper
Times cited : (41)

References (19)
  • 2
    • 79955059574 scopus 로고    scopus 로고
    • Automatic classificationof patientswithAlzheimer’s disease from structural MRI: A comparison of ten methods using theADNI database
    • Cuingnet, R., Gerardin, E., Tessieras, J., Auzias, G., Lehéricy, S., Habert, M.O., Chupin, M., Benali, H., Colliot, O.: Automatic classification of patients with Alzheimer’s disease from structural MRI: a comparison of ten methods using the ADNI database. NeuroImage 56(2), 766-781 (2011)
    • (2011) Neuroimage , vol.56 , Issue.2 , pp. 766-781
    • Cuingnet, R.1    Gerardin, E.2    Tessieras, J.3    Auzias, G.4    Lehéricy, S.5    Habert, M.O.6    Chupin, M.7    Benali, H.8    Colliot, O.9
  • 3
    • 80053439042 scopus 로고    scopus 로고
    • Learning from multiple outlooks
    • Harel, M., Mannor, S.: Learning from multiple outlooks. In: ICML, pp. 401-408 (2011)
    • (2011) ICML , pp. 401-408
    • Harel, M.1    Mannor, S.2
  • 5
    • 84885733898 scopus 로고    scopus 로고
    • Voxelwise spectral diffusional connectivity and its applications to alzheimer’s dis-ease and intelligence prediction
    • Mori, K., Sakuma, I., Sato, Y., Barillot, C.,Navab, N. (eds.), Springer,Heidelberg
    • Li, J., Jin, Y., Shi, Y., Dinov, I.D., Wang, D.J., Toga, A.W., Thompson, P.M.: Voxelwise spectral diffusional connectivity and its applications to alzheimer’s disease and intelligence prediction. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part I. LNCS, vol. 8149, pp. 655-662. Springer, Heidelberg (2013)
    • (2013) MICCAI 2013, Part I. LNCS , vol.8149 , pp. 655-662
    • Li, J.1    Jin, Y.2    Shi, Y.3    Dinov, I.D.4    Wang, D.J.5    Toga, A.W.6    Thompson, P.M.7
  • 6
    • 84907818508 scopus 로고    scopus 로고
    • Learning to rank atlases for multiple-atlas segmentation
    • Sanroma, G., Wu, G., Gao, Y., Shen, D.: Learning to rank atlases for multiple-atlas segmentation. IEEE Transactions Meddical Imaging 33(10), 1939-1953 (2014)
    • (2014) IEEE Transactions Meddical Imaging , vol.33 , Issue.10 , pp. 1939-1953
    • Sanroma, G.1    Wu, G.2    Gao, Y.3    Shen, D.4
  • 7
    • 84923814844 scopus 로고    scopus 로고
    • Latent feature representation with stacked autoencoder for AD/MCI diagnosis
    • Suk, H.I., Lee, S.W., Shen, D.: Latent feature representation with stacked autoencoder for AD/MCI diagnosis. Brain Structure and Function 220(2), 841-859 (2013)
    • (2013) Brain Structure and Function , vol.220 , Issue.2 , pp. 841-859
    • Suk, H.I.1    Lee, S.W.2    Shen, D.3
  • 8
    • 84896353646 scopus 로고    scopus 로고
    • Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion
    • Thung, K., Wee, C., Yap, P., Shen, D.: Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage 91, 386-400 (2014)
    • (2014) Neuroimage , vol.91 , pp. 386-400
    • Thung, K.1    Wee, C.2    Yap, P.3    Shen, D.4
  • 10
    • 84866683998 scopus 로고    scopus 로고
    • Sparse bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in alzheimer’s disease
    • Wan, J., Zhang, Z., Yan, J., Li, T., Rao, B.D., Fang, S., Kim, S., Risacher, S.L., Saykin, A.J., Shen, L.: Sparse bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in alzheimer’s disease. In: CVPR, pp. 940-947 (2012)
    • (2012) CVPR , pp. 940-947
    • Wan, J.1    Zhang, Z.2    Yan, J.3    Li, T.4    Rao, B.D.5    Fang, S.6    Kim, S.7    Risacher, S.L.8    Saykin, A.J.9    Shen, L.10
  • 11
    • 84881646893 scopus 로고    scopus 로고
    • Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects
    • Zhan, L., Jahanshad, N., Jin, Y., Toga, A.W., McMahon, K., de Zubicaray, G.I., Martin, N.G., Wright, M.J., Thompson, P.M.: Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects. In: ISBI, pp. 1134-1137 (2013)
    • (2013) ISBI , pp. 1134-1137
    • Zhan, L.1    Jahanshad, N.2    Jin, Y.3    Toga, A.W.4    McMahon, K.5    De Zubicaray, G.I.6    Martin, N.G.7    Wright, M.J.8    Thompson, P.M.9
  • 13
    • 83055184373 scopus 로고    scopus 로고
    • Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease
    • Zhang, D., Shen, D.: Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease. NeuroImage 59(2), 895-907 (2012)
    • (2012) Neuroimage , vol.59 , Issue.2 , pp. 895-907
    • Zhang, D.1    Shen, D.2
  • 14
    • 84862798157 scopus 로고    scopus 로고
    • Dimensionality reduction by mixed kernel canonical correlation analysis
    • Zhu, X., Huang, Z., Shen, H.T., Cheng, J., Xu, C.: Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recognition 45(8), 3003-3016 (2012)
    • (2012) Pattern Recognition , vol.45 , Issue.8 , pp. 3003-3016
    • Zhu, X.1    Huang, Z.2    Shen, H.T.3    Cheng, J.4    Xu, C.5
  • 15
    • 84961745739 scopus 로고    scopus 로고
    • Block-row sparse multiview multilabel learning for image classification
    • Zhu, X., Li, X., Zhang, S.: Block-row sparse multiview multilabel learning for image classification. IEEE Transactions on Cybernetics (2015)
    • (2015) IEEE Transactions on Cybernetics
    • Zhu, X.1    Li, X.2    Zhang, S.3
  • 16
    • 84911457687 scopus 로고    scopus 로고
    • Matrix-similarity based loss function and feature selection for alzheimer’s disease diagnosis
    • Zhu, X., Suk, H.I., Shen, D.: Matrix-similarity based loss function and feature selection for alzheimer’s disease diagnosis. In: CVPR, pp. 3089-3096 (2014)
    • (2014) CVPR , pp. 3089-3096
    • Zhu, X.1    Suk, H.I.2    Shen, D.3
  • 17
    • 84903899707 scopus 로고    scopus 로고
    • A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis
    • Zhu, X., Suk, H.I., Shen, D.: A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage 100, 91-105 (2014)
    • (2014) Neuroimage , vol.100 , pp. 91-105
    • Zhu, X.1    Suk, H.I.2    Shen, D.3
  • 18
    • 84906975457 scopus 로고    scopus 로고
    • A novel multi-relation regularization method for regression and classification in AD diagnosis
    • Golland, P., Hata, N., Barillot, C.,Hornegger,J.,Howe,R. (eds.), Springer, Heidelberg
    • Zhu, X., Suk, H.-I., Shen, D.: A novel multi-relation regularization method for regression and classification in AD diagnosis. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part III. LNCS, vol. 8675, pp. 401-408. Springer, Heidelberg (2014)
    • (2014) MICCAI , vol.8675 , pp. 401-408
    • Zhu, X.1    Suk, H.-I.2    Shen, D.3
  • 19
    • 84905046755 scopus 로고    scopus 로고
    • A sparse embedding and least variance encoding approach to hashing
    • Zhu, X., Zhang, L., Huang, Z.: A sparse embedding and least variance encoding approach to hashing. IEEE Transactions on Image Processing 23(9), 3737-3750 (2014)
    • (2014) IEEE Transactions on Image Processing , vol.23 , Issue.9 , pp. 3737-3750
    • Zhu, X.1    Zhang, L.2    Huang, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.