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Volumn 35, Issue 1, 2012, Pages 1-12

A two stage sequential ensemble applied to the classification of Alzheimer's disease based on MRI features

Author keywords

Alzheimer's disease; Magnetic resonance imaging; Relevance vector machine; Sequential ensemble of classifiers; Voxel based morphometry

Indexed keywords

ALZHEIMER'S DISEASE; CONTROL SUBJECT; DATA ITEMS; DATA SAMPLE; ENSEMBLE OF CLASSIFIERS; FALSE NEGATIVE RATE; FALSE POSITIVE RATES; FEATURE VECTORS; RELEVANCE VECTOR MACHINE; TWO STAGE; VOXEL-BASED MORPHOMETRY;

EID: 84855847597     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-011-9200-2     Document Type: Article
Times cited : (36)

References (32)
  • 1
    • 79952730699 scopus 로고    scopus 로고
    • Alzheimer's disease facts and figures
    • ADNI. 10.1016/j.jalz.2011.02.004
    • ADNI 2011 Alzheimer's disease facts and figures Alzheimer's Dement 7 2 208 244 10.1016/j.jalz.2011.02.004
    • (2011) Alzheimer's Dement , vol.7 , Issue.2 , pp. 208-244
  • 2
    • 0033933649 scopus 로고    scopus 로고
    • Voxel-based morphometry - The methods
    • DOI 10.1006/nimg.2000.0582
    • J Ashburner KJ Friston 2000 Voxel-Based morphometry-the methods Neuroimage 11 6 805 821 10.1006/nimg.2000.0582 (Pubitemid 30437668)
    • (2000) NeuroImage , vol.11 , Issue.6 , pp. 805-821
    • Ashburner, J.1    Friston, K.J.2
  • 3
    • 0034906436 scopus 로고    scopus 로고
    • In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease
    • DOI 10.1006/nimg.2001.0848
    • JC Baron G Chetelat B Desgranges G Perchey B Landeau V de la Sayette F Eustache 2001 In vivo mapping of gray matter loss with Voxel-based morphometry in mild Alzheimer's disease Neuroimage 14 2 298 309 10.1006/nimg.2001.0848 (Pubitemid 32709545)
    • (2001) NeuroImage , vol.14 , Issue.2 , pp. 298-309
    • Baron, J.C.1    Chetelat, G.2    Desgranges, B.3    Perchey, G.4    Landeau, B.5    De La Sayette, V.6    Eustache, F.7
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L Breiman 1996 Bagging predictors Mach Learn 24 2 123 140 0858.68080 1425957 (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 55849102789 scopus 로고    scopus 로고
    • Voxel-based morphometry in Alzheimers' disease
    • 10.1586/14737175.8.11.1691
    • G Busatto 2008 Voxel-based morphometry in Alzheimers' disease Expert Rev Neurother 8 11 1691 1702 10.1586/14737175.8.11.1691
    • (2008) Expert Rev Neurother , vol.8 , Issue.11 , pp. 1691-1702
    • Busatto, G.1
  • 10
    • 0035506174 scopus 로고    scopus 로고
    • The relevance vector machine technique for channel equalization application
    • DOI 10.1109/72.963792, PII S1045922701089020
    • S Chen SR Gunn CJ Harris 2001 The relevance vector machine technique for channel equalization application IEEE Trans Neural Netw 12 6 1529 1532 10.1109/72.963792 (Pubitemid 33106061)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1529-1532
    • Chen, S.1    Gunn, S.R.2    Harris, C.J.3
  • 11
    • 58649110205 scopus 로고    scopus 로고
    • Overfitting cautious selection of classifier ensembles with genetic algorithms
    • 10.1016/j.inffus.2008.11.003
    • EM Dos Santos R Sabourin P Maupin 2009 Overfitting cautious selection of classifier ensembles with genetic algorithms Inf Fusion 10 2 150 162 10.1016/j.inffus.2008.11.003
    • (2009) Inf Fusion , vol.10 , Issue.2 , pp. 150-162
    • Dos Santos, E.M.1    Sabourin, R.2    Maupin, P.3
  • 12
    • 80052949051 scopus 로고    scopus 로고
    • Hyperspectral data classification using RVM with pre-segmentation and RANSAC
    • IEEE International
    • Demir B, Erturk S (2007) Hyperspectral data classification using RVM with pre-segmentation and RANSAC. In: Geoscience and remote sensing symposium, 2007. IGARSS 2007. IEEE International, pp 1763-1766
    • (2007) Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007 , pp. 1763-1766
    • Demir, B.1    Erturk, S.2
  • 15
    • 77956614386 scopus 로고    scopus 로고
    • Constructing ensembles of classifiers using supervised projection methods based on misclassified instances
    • 10.1016/j.eswa.2010.06.072
    • N García-Pedrajas C García-Osorio 2011 Constructing ensembles of classifiers using supervised projection methods based on misclassified instances Expert Syst Appl 38 1 343 359 10.1016/j.eswa.2010.06.072
    • (2011) Expert Syst Appl , vol.38 , Issue.1 , pp. 343-359
    • García-Pedrajas, N.1    García-Osorio, C.2
  • 16
    • 68749088904 scopus 로고    scopus 로고
    • On the use of morphometry based features for Alzheimer's disease detection on MRI
    • Cabestany J, Sandoval F, Prieto A, Corchado JM (eds). Bio-inspired Systems: Computational and Ambient Intelligence/IWANN 2009, Salamanca, Spain(Part I)
    • García-Sebastián M, Savio A, Graña M, Villanúa J (2009) On the use of morphometry based features for Alzheimer's disease detection on MRI. In: Cabestany J, Sandoval F, Prieto A, Corchado JM (eds) Bio-inspired systems: computational and ambient intelligence/IWANN 2009 (Part I). LNCS 5517, Salamanca, Spain, pp 957-964
    • (2009) LNCS , vol.5517 , pp. 957-964
    • García-Sebastián, M.1    Savio, A.2    Graña, M.3    Villanúa, J.4
  • 18
    • 77952293118 scopus 로고    scopus 로고
    • Classifier ensembles for FMRI data analysis: An experiment
    • 10.1016/j.mri.2009.12.021
    • LI Kuncheva JJ Rodríguez 2010 Classifier ensembles for FMRI data analysis: an experiment Magn Reson Imaging 28 4 583 593 10.1016/j.mri.2009.12. 021
    • (2010) Magn Reson Imaging , vol.28 , Issue.4 , pp. 583-593
    • Kuncheva, L.I.1    Rodríguez, J.J.2
  • 19
    • 64449084585 scopus 로고    scopus 로고
    • Automatic EEG signal classification for epilepsy diagnosis with relevance vector machines
    • 10.1016/j.eswa.2009.01.022
    • CAM Lima ALV Coelho S Chagas 2009 Automatic EEG signal classification for epilepsy diagnosis with relevance vector machines Expert Syst Appl 36 6 10054 10059 10.1016/j.eswa.2009.01.022
    • (2009) Expert Syst Appl , vol.36 , Issue.6 , pp. 10054-10059
    • Lima, C.A.M.1    Coelho, A.L.V.2    Chagas, S.3
  • 20
    • 34548409688 scopus 로고    scopus 로고
    • Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
    • DOI 10.1162/jocn.2007.19.9.1498
    • Marcus DS, Wang TH, Parker J, Csernansky JG, Morris JC, Buckner RL (Sep 2007) Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J Cogn Neurosci 19(9):1498-1507 (Pubitemid 47358152)
    • (2007) Journal of Cognitive Neuroscience , vol.19 , Issue.9 , pp. 1498-1507
    • Marcus, D.S.1    Wang, T.H.2    Parker, J.3    Csernansky, J.G.4    Morris, J.C.5    Buckner, R.L.6
  • 22
    • 70350638550 scopus 로고    scopus 로고
    • Results of an adaboost approach on Alzheimer's disease detection on MRI
    • Mira J, Ferrández JM, Alvarez JR, dela Paz F, Tolede FJ (eds). Bioinspired applications in artificial and natural computation, IWINAC 2009, Santiago de Compostela, Spain
    • Savio A, García-Sebastián M, Graña M, Villanúa J (2009a) Results of an adaboost approach on Alzheimer's disease detection on MRI. In: Mira J, Ferrández JM, Alvarez JR, dela Paz F, Tolede FJ (eds) Bioinspired applications in artificial and natural computation. LNCS 5602, IWINAC 2009, Santiago de Compostela, Spain, pp 114-123
    • (2009) LNCS , vol.5602 , pp. 114-123
    • Savio, A.1    García-Sebastián, M.2    Graña, M.3    Villanúa, J.4
  • 23
    • 76249098711 scopus 로고    scopus 로고
    • Classification results of artificial neural networks for Alzheimer's disease detection
    • Emilio C, Hujun Y (eds). Intelligent Data Engineering and Automated Learning-IDEAL 2009, Burgos, Spain
    • Savio A, García-Sebastián M, Hernández C, Graña M, Villanúa J (2009b) Classification results of artificial neural networks for Alzheimer's disease detection. In: Emilio C, Hujun Y (eds) Intelligent Data Engineering and Automated Learning-IDEAL 2009. LNCS 5788, Burgos, Spain, pp 641-648
    • (2009) LNCS , vol.5788 , pp. 641-648
    • Savio, A.1    García-Sebastián, M.2    Hernández, C.3    Graña, M.4    Villanúa, J.5
  • 28
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian Learning and the Relevance Vector Machine
    • DOI 10.1162/15324430152748236
    • ME Tipping 2001 Sparse Bayesian learning and the relevance vector machine J Mach Learn Res 1 3 211 244 0997.68109 1875838 (Pubitemid 33687203)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.3 , pp. 211-244
    • Tipping, M.E.1
  • 30
    • 0026151470 scopus 로고
    • A neural-network approach to statistical pattern classification by semiparametric estimation of a probability density funcitons
    • 10.1109/72.97913
    • HGC Traven 1991 A neural-network approach to statistical pattern classification by semiparametric estimation of a probability density funcitons IEEE Trans Neural Netw 2 366 377 10.1109/72.97913
    • (1991) IEEE Trans Neural Netw , vol.2 , pp. 366-377
    • Traven, H.G.C.1
  • 31
    • 78751606736 scopus 로고    scopus 로고
    • Predicting stock returns by classifier ensembles
    • the impact of soft computing for the progress of artificial intelligence
    • Tsai C-F, Lin Y-C, Yen DC, Chen Y-M (2011) Predicting stock returns by classifier ensembles. Appl Soft Comput 11(2):2452-2459 (the impact of soft computing for the progress of artificial intelligence]
    • (2011) Appl Soft Comput , vol.11 , Issue.2 , pp. 2452-2459
    • Tsai, C.-F.1    Lin, Y.-C.2    Yen, D.C.3    Chen, Y.-M.4
  • 32
    • 60349123276 scopus 로고    scopus 로고
    • Incremental construction of classifier and discriminant ensembles
    • 10.1016/j.ins.2008.12.024
    • A Ulas M Semerci OT Yildiz E AlpaydIn 2009 Incremental construction of classifier and discriminant ensembles Inf Sci 179 9 1298 1318 10.1016/j.ins.2008.12.024
    • (2009) Inf Sci , vol.179 , Issue.9 , pp. 1298-1318
    • Ulas, A.1    Semerci, M.2    Yildiz, O.T.3    Alpaydin, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.