-
1
-
-
34247623771
-
Tracking Alzheimers disease
-
P.M. Thompson, K.M. Hayashi, R.A. Dutton, M.C. Chiang, A.D. Leow, E.R. Sowell, G. De Zubicaray, J.T. Becker, O.L. Lopez, H.J. Aizenstein and A.W. Toga, "Tracking Alzheimers disease," Annals Of The New York Academy Of Sciences, vol. 1097, pp. 183-214, 2007.
-
(2007)
Annals of the New York Academy of Sciences
, vol.1097
, pp. 183-214
-
-
Thompson, P.M.1
Hayashi, K.M.2
Dutton, R.A.3
Chiang, M.C.4
Leow, A.D.5
Sowell, E.R.6
De Zubicaray, G.7
Becker, J.T.8
Lopez, O.L.9
Aizenstein, H.J.10
Toga, A.W.11
-
2
-
-
0033933649
-
Voxel-based morphometry - The methods
-
J. Ashburner and K.J. Friston, "Voxel-based morphometry - The methods," NeuroImage, vol. 11, no. 6, pp. 805-821, 2000.
-
(2000)
NeuroImage
, vol.11
, Issue.6
, pp. 805-821
-
-
Ashburner, J.1
Friston, K.J.2
-
3
-
-
39749189507
-
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
-
C. Davatzikos, Y. Fan, X. Wu, D. Shen and S.M. Resnick, "Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging," Neurobiology of Aging, vol. 29, no. 4, pp. 514-523, 2008.
-
(2008)
Neurobiology of Aging
, vol.29
, Issue.4
, pp. 514-523
-
-
Davatzikos, C.1
Fan, Y.2
Wu, X.3
Shen, D.4
Resnick, S.M.5
-
4
-
-
37849014569
-
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
-
P. Vemuri, J.L. Gunter, M.L. Senjem, J.L. Whitwell, K. Kantarci, D.S. Knopman, B.F. Boeve, R.C. Petersen and C.R. Jack Jr, "Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies," NeuroImage, vol. 39, no. 3, pp. 1186-1197, 2008.
-
(2008)
NeuroImage
, vol.39
, Issue.3
, pp. 1186-1197
-
-
Vemuri, P.1
Gunter, J.L.2
Senjem, M.L.3
Whitwell, J.L.4
Kantarci, K.5
Knopman, D.S.6
Boeve, B.F.7
Petersen, R.C.8
Jack Jr., C.R.9
-
5
-
-
1642574430
-
Morphological classification of brains via high-dimensional shape transformations and machine learning methods
-
Z. Lao, D. Shen, Z. Xue, B. Karacali, S.M. Resnick and C. Davatzikos, "Morphological classification of brains via high-dimensional shape transformations and machine learning methods," NeuroImage, vol. 21, no. 1, pp. 46-57, 2004.
-
(2004)
NeuroImage
, vol.21
, Issue.1
, pp. 46-57
-
-
Lao, Z.1
Shen, D.2
Xue, Z.3
Karacali, B.4
Resnick, S.M.5
Davatzikos, C.6
-
6
-
-
39749191312
-
Automatic classification of MR scans in Alzheimer's disease
-
S. Klöppel, C.M. Stonnington, C. Chu, B. Draganski, R.I. Scahill, J.D. Rohrer, N.C. Fox, C.R. Jack Jr, J. Ashburner and R.S.J. Frackowiak, "Automatic classification of MR scans in Alzheimer's disease," Brain, vol. 131, no. 3, pp. 681-689, 2008.
-
(2008)
Brain
, vol.131
, Issue.3
, pp. 681-689
-
-
Klöppel, S.1
Stonnington, C.M.2
Chu, C.3
Draganski, B.4
Scahill, R.I.5
Rohrer, J.D.6
Fox, N.C.7
Jack Jr., C.R.8
Ashburner, J.9
Frackowiak, R.S.J.10
-
7
-
-
57649137241
-
The diagnosis of Alzheimer's disease based on voxel-based morphometry and support vector machine
-
(Jinan, Shandong province, China), 18-20 October
-
J. Zhang, B. Yan, X. Huang, P. Yang and C. Huang, "The diagnosis of Alzheimer's disease based on voxel-based morphometry and support vector machine," in Proceedings of Fourth International Conference on Natural Computation (ICNC2008), vol. 2, (Jinan, Shandong province, China), pp. 197-201, 18-20 October, 2008.
-
(2008)
Proceedings of Fourth International Conference on Natural Computation (ICNC2008)
, vol.2
, pp. 197-201
-
-
Zhang, J.1
Yan, B.2
Huang, X.3
Yang, P.4
Huang, C.5
-
8
-
-
76249098711
-
Classification results of artificial neural networks for Alzheimer's disease detection
-
A.M. Savio, M. García-Sebastián, C. Hernández, M. Grañ a and J. Villanúa, "Classification results of artificial neural networks for Alzheimer's disease detection," in Proceedings of the 10th international conference on Intelligent data engineering and automated learning (IDEAL2009), pp. 641-648, 2009.
-
(2009)
Proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2009)
, pp. 641-648
-
-
Savio, A.M.1
García-Sebastián, M.2
Hernández, C.3
Graña, M.4
Villanúa, J.5
-
9
-
-
0001071040
-
A resource-allocating network for function interpolation
-
J. Platt, "A resource-allocating network for function interpolation," Neural Computation, vol. 3, no. 2, pp. 213-225, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.2
, pp. 213-225
-
-
Platt, J.1
-
10
-
-
0031568361
-
A sequental learning scheme for function approximation using minimal radial basis function neural networks
-
L. Yingwei, N. Sundararajan and P. Saratchandran, "A sequental learning scheme for function approximation using minimal radial basis function neural networks," Neural Computation, vol. 9, no. 2, pp. 461-478, 1997.
-
(1997)
Neural Computation
, vol.9
, Issue.2
, pp. 461-478
-
-
Yingwei, L.1
Sundararajan, N.2
Saratchandran, P.3
-
11
-
-
10044221078
-
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks
-
G.-B. Huang, P. Saratchandran and N. Sundararajan, "An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 34, no. 6, pp. 2284-2292, 2004.
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.34
, Issue.6
, pp. 2284-2292
-
-
Huang, G.-B.1
Saratchandran, P.2
Sundararajan, N.3
-
12
-
-
40649123279
-
A sequential multicategory classifier using radial basis function networks
-
S. Suresh, N. Sundararajan and P. Saratchandran, "A sequential multicategory classifier using radial basis function networks," Neurocomputing, vol. 71, no. 7-9, pp. 1345-1358, 2008.
-
(2008)
Neurocomputing
, vol.71
, Issue.7-9
, pp. 1345-1358
-
-
Suresh, S.1
Sundararajan, N.2
Saratchandran, P.3
-
13
-
-
41749093196
-
Risk sensitive loss functions for sparse multi-category classification problems
-
S. Suresh, N. Sundararajan and P. Saratchandran, "Risk sensitive loss functions for sparse multi-category classification problems," Information Sciences, vol. 178, no. 12, pp. 2621-2638, 2008.
-
(2008)
Information Sciences
, vol.178
, Issue.12
, pp. 2621-2638
-
-
Suresh, S.1
Sundararajan, N.2
Saratchandran, P.3
-
14
-
-
78649975292
-
A sequential learning algorithm for self-adaptive resource allocation network classifier
-
S. Suresh, K. Dong and H.J. Kim, "A sequential learning algorithm for self-adaptive resource allocation network classifier," Neurocomputing, vol. 73, no. 16-18, pp. 3012-3019, 2010.
-
(2010)
Neurocomputing
, vol.73
, Issue.16-18
, pp. 3012-3019
-
-
Suresh, S.1
Dong, K.2
Kim, H.J.3
-
15
-
-
34548409688
-
Open access series of imaging studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
-
D.S. Marcus, T.H. Wang, J. Parker, J.G. Csernansky, J.C. Morris and R.L. Buckner, "Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults," Journal of Cognitive Neuroscience, vol. 19, no. 9, pp. 1498-1507, 2007.
-
(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
-
16
-
-
85013881961
-
-
Academic Press
-
K.J. Friston, J. Ashburner, S.J. Kiebel, T.E. Nichols and W.D. Penny in Statistical Parametric Mapping: The Analysis of Functional Brain Images, Academic Press, 2007.
-
(2007)
Statistical Parametric Mapping: The Analysis of Functional Brain Images
-
-
Friston, K.J.1
Ashburner, J.2
Kiebel, S.J.3
Nichols, T.E.4
Penny, W.D.5
-
17
-
-
0002399288
-
Neural networks, principal components, and subspaces
-
E. Oja, "Neural networks, principal components, and subspaces," International Journal of Neural Systems, vol. 1, no. 1, pp. 61-68, 1989.
-
(1989)
International Journal of Neural Systems
, vol.1
, Issue.1
, pp. 61-68
-
-
Oja, E.1
|