-
1
-
-
0032213559
-
The variability of human BOLD hemodynamic responses
-
Aguirre G.K., Zarahn E., and D'Esposito M. The variability of human BOLD hemodynamic responses. NeuroImage 8 (1998) 360-369
-
(1998)
NeuroImage
, vol.8
, pp. 360-369
-
-
Aguirre, G.K.1
Zarahn, E.2
D'Esposito, M.3
-
2
-
-
0027288454
-
Processing strategies for time-course data sets in functional MRI of the human brain
-
Bandettini P.A., Jesmanowicz A., Wong E.C., and Hyde J.S. Processing strategies for time-course data sets in functional MRI of the human brain. Magn. Reson. Med. 30 (1993) 161-173
-
(1993)
Magn. Reson. Med.
, vol.30
, pp. 161-173
-
-
Bandettini, P.A.1
Jesmanowicz, A.2
Wong, E.C.3
Hyde, J.S.4
-
3
-
-
22244478633
-
Combining ICA and GLM: a hybrid approach to FMRI analysis
-
Beckmann C.F., Tracey I., Noble J.A., and Smith S.M. Combining ICA and GLM: a hybrid approach to FMRI analysis. NeuroImage 11 5 (2000) s643
-
(2000)
NeuroImage
, vol.11
, Issue.5
-
-
Beckmann, C.F.1
Tracey, I.2
Noble, J.A.3
Smith, S.M.4
-
4
-
-
0029411030
-
An information-maximization approach to blind separation and blind deconvolution
-
Bell A., and Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7 (1995) 1129-1159
-
(1995)
Neural Comput.
, vol.7
, pp. 1129-1159
-
-
Bell, A.1
Sejnowski, T.J.2
-
5
-
-
0030063642
-
Statistical methods of estimation and inference for functional MR image analysis
-
Bullmore E., Brammer M., Williams S., Rabe-Hesketh S., Janot N., David A., Mellers J., Howard R., and Sham P. Statistical methods of estimation and inference for functional MR image analysis. Magn. Reson. Medicine 35 2 (1996) 261-277
-
(1996)
Magn. Reson. Medicine
, vol.35
, Issue.2
, pp. 261-277
-
-
Bullmore, E.1
Brammer, M.2
Williams, S.3
Rabe-Hesketh, S.4
Janot, N.5
David, A.6
Mellers, J.7
Howard, R.8
Sham, P.9
-
6
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2 (1998) 121-167
-
(1998)
Data Min. Knowl. Discov.
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
7
-
-
0041737619
-
Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex
-
Cox D.D., and Savoy R.L. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage 19 2 (2003) 261-270
-
(2003)
NeuroImage
, vol.19
, Issue.2
, pp. 261-270
-
-
Cox, D.D.1
Savoy, R.L.2
-
8
-
-
27544453543
-
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
-
Davatzikos C., Ruparel K., Fan Y., Shen D., Acharyya M., Loughead J., Gur R., and Langleben D. Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. NeuroImage 28 3 (2005) 663-668
-
(2005)
NeuroImage
, vol.28
, Issue.3
, pp. 663-668
-
-
Davatzikos, C.1
Ruparel, K.2
Fan, Y.3
Shen, D.4
Acharyya, M.5
Loughead, J.6
Gur, R.7
Langleben, D.8
-
9
-
-
34347251908
-
Multivariate examination of brain abnormality using both structural and functional MRI
-
Fan Y., Rao H., Hurt H., Giannetta J., Korczykowski M., Shera D., Avants B.B., Gee J.C., Wang J., and Shen D. Multivariate examination of brain abnormality using both structural and functional MRI. NeuroImage 36 4 (2007) 1189-1199
-
(2007)
NeuroImage
, vol.36
, Issue.4
, pp. 1189-1199
-
-
Fan, Y.1
Rao, H.2
Hurt, H.3
Giannetta, J.4
Korczykowski, M.5
Shera, D.6
Avants, B.B.7
Gee, J.C.8
Wang, J.9
Shen, D.10
-
10
-
-
0028998867
-
Analysis of fMRI time series revisited
-
Friston K., Holmes A., Poline J., Grasby P.J., Williams S.C.R., Frackowiak R., and Turner R. Analysis of fMRI time series revisited. NeuroImage 2 (1995) 45-53
-
(1995)
NeuroImage
, vol.2
, pp. 45-53
-
-
Friston, K.1
Holmes, A.2
Poline, J.3
Grasby, P.J.4
Williams, S.C.R.5
Frackowiak, R.6
Turner, R.7
-
11
-
-
4344705249
-
Statistical parametric maps in functional imaging: a general linear approach
-
Friston K., Holmes A., Worsley K., Poline J., Frith C., and Frackowiak R. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 2 (1995) 189-210
-
(1995)
Hum. Brain Mapp.
, vol.2
, pp. 189-210
-
-
Friston, K.1
Holmes, A.2
Worsley, K.3
Poline, J.4
Frith, C.5
Frackowiak, R.6
-
12
-
-
16244380830
-
Unified spmcica for fMRI analysis
-
Hu D., Yan L., Liu Y., Zhou Z., Friston K.J., Tan C., and Wu D. Unified spmcica for fMRI analysis. NeuroImage 25 (2005) 746-755
-
(2005)
NeuroImage
, vol.25
, pp. 746-755
-
-
Hu, D.1
Yan, L.2
Liu, Y.3
Zhou, Z.4
Friston, K.J.5
Tan, C.6
Wu, D.7
-
13
-
-
0032629347
-
Fast and robust fixed-point algorithms for independent component analysis
-
Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10 3 (1999) 626-634
-
(1999)
IEEE Trans. Neural Netw.
, vol.10
, Issue.3
, pp. 626-634
-
-
Hyvärinen, A.1
-
14
-
-
0002714543
-
Making large-scale SVM learning practical
-
Schölkopf B., Burges C., and Smola A. (Eds), MIT Press, Cambridge Boston
-
Joachim T. Making large-scale SVM learning practical. In: Schölkopf B., Burges C., and Smola A. (Eds). Advances in Kernel Methods - Support Vector Learning (1999), MIT Press, Cambridge Boston 42-56
-
(1999)
Advances in Kernel Methods - Support Vector Learning
, pp. 42-56
-
-
Joachim, T.1
-
16
-
-
19344370474
-
Support vector machines for temporal classification of block design fMRI data
-
LaConte S., Strother S., Cherkassky V., Anderson J., and Hu X. Support vector machines for temporal classification of block design fMRI data. NeuroImage 26 2 (2005) 317-329
-
(2005)
NeuroImage
, vol.26
, Issue.2
, pp. 317-329
-
-
LaConte, S.1
Strother, S.2
Cherkassky, V.3
Anderson, J.4
Hu, X.5
-
17
-
-
0033950516
-
Detection of consistently task-related activations in fMRI data with hybrid independent component analysis
-
McKeown M.J. Detection of consistently task-related activations in fMRI data with hybrid independent component analysis. NeuroImage 11 (2000) 24-35
-
(2000)
NeuroImage
, vol.11
, pp. 24-35
-
-
McKeown, M.J.1
-
18
-
-
0018079655
-
Basic principle of ROC analysis
-
Metz C.E. Basic principle of ROC analysis. Semin. Nucl. Med. VIII 4 (1978) 283-298
-
(1978)
Semin. Nucl. Med.
, vol.VIII
, Issue.4
, pp. 283-298
-
-
Metz, C.E.1
-
19
-
-
3242802095
-
Learning to decode cognitive states from brain images
-
Mitchell T.M., Hutchinson R., Niculescu R.S., Pereira F., Wang X., Just M., and Newman S. Learning to decode cognitive states from brain images. Mach. Learning 57 1-2 (2004) 145-175
-
(2004)
Mach. Learning
, vol.57
, Issue.1-2
, pp. 145-175
-
-
Mitchell, T.M.1
Hutchinson, R.2
Niculescu, R.S.3
Pereira, F.4
Wang, X.5
Just, M.6
Newman, S.7
-
20
-
-
28244492778
-
Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data
-
Mourão-Miranda J., Bokde A.L., Born C., Hampel H., and Stetter M. Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data. NeuroImage 28 4 (2005) 980-995
-
(2005)
NeuroImage
, vol.28
, Issue.4
, pp. 980-995
-
-
Mourão-Miranda, J.1
Bokde, A.L.2
Born, C.3
Hampel, H.4
Stetter, M.5
-
21
-
-
34247335427
-
Dynamic discrimination analysis: a spatial-temporal SVM
-
Mourão-Miranda J., Friston K.J., and Brammer M. Dynamic discrimination analysis: a spatial-temporal SVM. NeuroImage 36 1 (2006) 88-99
-
(2006)
NeuroImage
, vol.36
, Issue.1
, pp. 88-99
-
-
Mourão-Miranda, J.1
Friston, K.J.2
Brammer, M.3
-
22
-
-
33750737054
-
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data
-
Mourão-Miranda J., Reynaud E., McGlone F., Calvert G., and Brammer M. The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data. NeuroImage 33 (2006) 1055-1065
-
(2006)
NeuroImage
, vol.33
, pp. 1055-1065
-
-
Mourão-Miranda, J.1
Reynaud, E.2
McGlone, F.3
Calvert, G.4
Brammer, M.5
-
27
-
-
34347333571
-
Support vector machine learning-based fMRI data group analysis
-
Wang Z., Childress A.R., Wang J., and Detre J.A. Support vector machine learning-based fMRI data group analysis. NeuroImage 36 4 (2007) 1139-1151
-
(2007)
NeuroImage
, vol.36
, Issue.4
, pp. 1139-1151
-
-
Wang, Z.1
Childress, A.R.2
Wang, J.3
Detre, J.A.4
-
28
-
-
64949109481
-
A support vector machine (SVM) is superior to univariate GLM for characterizing cue-induced limbic activation by arterial spin labeling (ASL) perfusion fMRI
-
page online. Society for Neuroscience.
-
Wang Z., Li Y., Ehrman R., Hole A.V., MacDougall M., Jens W., Franklin T., Detre J.A., O'Brien C.P., and Childress A.R. A support vector machine (SVM) is superior to univariate GLM for characterizing cue-induced limbic activation by arterial spin labeling (ASL) perfusion fMRI. Annual Conference of Society for Neuroscience (2007) page online. Society for Neuroscience.
-
(2007)
Annual Conference of Society for Neuroscience
-
-
Wang, Z.1
Li, Y.2
Ehrman, R.3
Hole, A.V.4
MacDougall, M.5
Jens, W.6
Franklin, T.7
Detre, J.A.8
O'Brien, C.P.9
Childress, A.R.10
-
29
-
-
38349131004
-
Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx
-
Wang Z., Aguirre G.K., Rao H., Wang J., Ferna'ndez-Seara M.A., Childress A.R., and Detre J.A. Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. Magn. Reson. Imaging 26 2 (2008) 261-269
-
(2008)
Magn. Reson. Imaging
, vol.26
, Issue.2
, pp. 261-269
-
-
Wang, Z.1
Aguirre, G.K.2
Rao, H.3
Wang, J.4
Ferna'ndez-Seara, M.A.5
Childress, A.R.6
Detre, J.A.7
-
30
-
-
37849032997
-
Assessment of functional development in normal infant brain using arterial spin labeled perfusion mri
-
Wang Z., Ferna'ndez-Seara M.A., Alsop D.C., Wang J., Liu W.-C., Flax J.F., Benasich A.A., and Detre J.A. Assessment of functional development in normal infant brain using arterial spin labeled perfusion mri. NeuroImage 39 3 (2008) 973-978
-
(2008)
NeuroImage
, vol.39
, Issue.3
, pp. 973-978
-
-
Wang, Z.1
Ferna'ndez-Seara, M.A.2
Alsop, D.C.3
Wang, J.4
Liu, W.-C.5
Flax, J.F.6
Benasich, A.A.7
Detre, J.A.8
-
31
-
-
0003051758
-
Potential and pitfalls of arterial spin labeling based perfusion imaging techniques for MRI
-
Moonen C.W., and Bandettini P. (Eds), Springer-Verlag, New York
-
Wong E. Potential and pitfalls of arterial spin labeling based perfusion imaging techniques for MRI. In: Moonen C.W., and Bandettini P. (Eds). Functional MRI, Medical Radiology: Diagnostic Imaging and Radiation Oncology (1999), Springer-Verlag, New York 63-69
-
(1999)
Functional MRI, Medical Radiology: Diagnostic Imaging and Radiation Oncology
, pp. 63-69
-
-
Wong, E.1
-
32
-
-
0029096148
-
Analysis of fMRI time-series revisited - again
-
Worsley K., and Friston K. Analysis of fMRI time-series revisited - again. NeuroImage 2 (1995) 173-181
-
(1995)
NeuroImage
, vol.2
, pp. 173-181
-
-
Worsley, K.1
Friston, K.2
-
33
-
-
33744791207
-
Exploiting temporal information in functional magnetic resonance imaging brain data
-
Springer
-
Zhang L., Samaras D., Tomasi D., Alia-Klein N., Cottone L., Leskovjan A., Volkow N., and Goldstein R. Exploiting temporal information in functional magnetic resonance imaging brain data. Proc. of the Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv (2005) 679-687 Springer
-
(2005)
Proc. of the Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv
, pp. 679-687
-
-
Zhang, L.1
Samaras, D.2
Tomasi, D.3
Alia-Klein, N.4
Cottone, L.5
Leskovjan, A.6
Volkow, N.7
Goldstein, R.8
-
34
-
-
33745153820
-
Machine learning for clinical diagnosis from functional magnetic resonance imaging
-
IEEE Press
-
Zhang L., Samaras D., Tomasi D., Volkow N., and Goldstein R. Machine learning for clinical diagnosis from functional magnetic resonance imaging. IEEE International Conference Computer Vision and Pattern Recognition (2005) 1211-1217 IEEE Press
-
(2005)
IEEE International Conference Computer Vision and Pattern Recognition
, pp. 1211-1217
-
-
Zhang, L.1
Samaras, D.2
Tomasi, D.3
Volkow, N.4
Goldstein, R.5
|