-
1
-
-
0033933649
-
Voxel-based morphometry - The methods
-
10860804 10.1006/nimg.2000.0582 1:STN:280:DC%2BD3cvgt1Chug%3D%3D
-
Ashburner, J.; & Friston, K. J. (2000). Voxel-based morphometry - The methods. NeuroImage, 11(6), 805-821.
-
(2000)
NeuroImage
, vol.11
, Issue.6
, pp. 805-821
-
-
Ashburner, J.1
Friston, K.J.2
-
2
-
-
20444501009
-
Unified segmentation
-
15955494 10.1016/j.neuroimage.2005.02.018
-
Ashburner, J.; & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26, 839-851.
-
(2005)
NeuroImage
, vol.26
, pp. 839-851
-
-
Ashburner, J.1
Friston, K.J.2
-
3
-
-
60149092507
-
Computing average shaped tissue probability templates
-
19146961 10.1016/j.neuroimage.2008.12.008
-
Ashburner, J.; & Friston, K. J. (2009). Computing average shaped tissue probability templates. NeuroImage, 45, 333-341.
-
(2009)
NeuroImage
, vol.45
, pp. 333-341
-
-
Ashburner, J.1
Friston, K.J.2
-
4
-
-
79952071547
-
Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation
-
21216294 10.1016/j.neuroimage.2010.12.049
-
Ashburner, J.; & Friston, K. J. (2011). Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation. NeuroImage, 55, 954-967.
-
(2011)
NeuroImage
, vol.55
, pp. 954-967
-
-
Ashburner, J.1
Friston, K.J.2
-
6
-
-
33747109464
-
Predicting Alzheimer dementia in mild cognitive impairment patients. Are biomarkers useful?
-
16831417 10.1016/j.ejphar.2006.06.023 1:CAS:528:DC%2BD28XotlWkur0%3D
-
Borroni, B.; Di Luca, M.; & Padovani, A. (2006). Predicting Alzheimer dementia in mild cognitive impairment patients. Are biomarkers useful? European Journal of Pharmacology, 545(1), 73-80.
-
(2006)
European Journal of Pharmacology
, vol.545
, Issue.1
, pp. 73-80
-
-
Borroni, B.1
Di Luca, M.2
Padovani, A.3
-
8
-
-
77949480559
-
Decoding individual episodic memory traces in the human hippocampus
-
20226665 10.1016/j.cub.2010.01.053 1:CAS:528:DC%2BC3cXjslSjs78%3D
-
Chadwick, M. J.; Hassabis, D.; Weiskopf, N.; & Maguire, E. A. (2010). Decoding individual episodic memory traces in the human hippocampus. Current Biology, 20(6), 544-547.
-
(2010)
Current Biology
, vol.20
, Issue.6
, pp. 544-547
-
-
Chadwick, M.J.1
Hassabis, D.2
Weiskopf, N.3
Maguire, E.A.4
-
9
-
-
79955043506
-
Kernel regression for fMRI pattern prediction
-
20348000 10.1016/j.neuroimage.2010.03.058
-
Chu, C.; Ni, Y.; Tan, G.; Saunders, C. J.; & Ashburner, J. (2011). Kernel regression for fMRI pattern prediction. NeuroImage, 56, 662-673.
-
(2011)
NeuroImage
, vol.56
, pp. 662-673
-
-
Chu, C.1
Ni, Y.2
Tan, G.3
Saunders, C.J.4
Ashburner, J.5
-
10
-
-
84862776712
-
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
-
22166797 10.1016/j.neuroimage.2011.11.066
-
Chu, C.; Hsu, A. L.; Chou, K. H.; Bandettini, P.; & Lin, C. (2012). Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images. NeuroImage, 60(1), 59-70.
-
(2012)
NeuroImage
, vol.60
, Issue.1
, pp. 59-70
-
-
Chu, C.1
Hsu, A.L.2
Chou, K.H.3
Bandettini, P.4
Lin, C.5
-
11
-
-
0041737619
-
Functional magnetic resonance imaging (fMRI) 'brain reading': Detecting and classifying distributed patterns of fMRI activity in human visual cortex
-
12814577 10.1016/S1053-8119(03)00049-1
-
Cox, D. D.; & Savoy, R. L. (2003). Functional magnetic resonance imaging (fMRI) 'brain reading': detecting and classifying distributed patterns of fMRI activity in human visual cortex. NeuroImage, 19, 261-270.
-
(2003)
NeuroImage
, vol.19
, pp. 261-270
-
-
Cox, D.D.1
Savoy, R.L.2
-
12
-
-
79955059574
-
Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
-
20542124 10.1016/j.neuroimage.2010.06.013
-
Cuingnet, R.; Gerardin, E.; Tessieras, J.; Auzias, G.; Lehéricy, S.; Habert, M. O.; et al. (2011). 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)
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
-
13
-
-
52049116700
-
Combining multivariate voxel selection and support vector machines for mapping and classification of fmri spatial patterns
-
18672070 10.1016/j.neuroimage.2008.06.037
-
De Martino, F.; Valente, G.; Staeren, N.; Ashburner, J.; Goebel, R.; & Formisano, E. (2008). Combining multivariate voxel selection and support vector machines for mapping and classification of fmri spatial patterns. NeuroImage, 43, 44-58.
-
(2008)
NeuroImage
, vol.43
, pp. 44-58
-
-
De Martino, F.1
Valente, G.2
Staeren, N.3
Ashburner, J.4
Goebel, R.5
Formisano, E.6
-
14
-
-
55849129239
-
Who" is saying "what"? Brain-based decoding of human voice and speech
-
10.1126/science.1164318
-
Formisiano, E.; De Martino, F.; Bonte, M.; & Goebel, R. (2008). "Who" is saying "What"? brain-based decoding of human voice and speech. Science, 322(5903), 970-973.
-
(2008)
Science
, vol.322
, Issue.5903
, pp. 970-973
-
-
Formisiano, E.1
De Martino, F.2
Bonte, M.3
Goebel, R.4
-
15
-
-
77249176542
-
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters
-
20070949 10.1016/j.neuroimage.2010.01.005
-
Franke, K.; Ziegler, G.; Klöppel, S.; Gaser, C.; et al. (2010). Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. NeuroImage, 50, 883-892.
-
(2010)
NeuroImage
, vol.50
, pp. 883-892
-
-
Franke, K.1
Ziegler, G.2
Klöppel, S.3
Gaser, C.4
-
19
-
-
64049085419
-
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data
-
10.1007/s12021-008-9041-y
-
Hanke, M.; Halchenko, Y. O.; Sederberg, P. B.; Hanson, S. J.; Haxby, J. V.; & Pollmann, S. (2009a). PyMVPA: a python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7, 37-53.
-
(2009)
Neuroinformatics
, vol.7
, pp. 37-53
-
-
Hanke, M.1
Halchenko, Y.O.2
Sederberg, P.B.3
Hanson, S.J.4
Haxby, J.V.5
Pollmann, S.6
-
20
-
-
84890872627
-
PyMVPA: A unifying approach to the analysis of neuroscientific data
-
10.3389/neuro.11.003.2009
-
Hanke, M.; Halchenko, Y. O.; Sederberg, P. B.; Olivetti, E.; Fründ, I.; Rieger, J. W.; et al. (2009b). PyMVPA: a unifying approach to the analysis of neuroscientific data. Frontiers in Neuroinformatics, 3, 3.
-
(2009)
Frontiers in Neuroinformatics
, vol.3
, pp. 3
-
-
Hanke, M.1
Halchenko, Y.O.2
Sederberg, P.B.3
Olivetti, E.4
Fründ, I.5
Rieger, J.W.6
Herrmann, C.S.7
Haxby, J.V.8
Hanson, S.J.9
Pollmann, S.10
-
21
-
-
4344638967
-
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: Is there a "face" area?
-
15325362 10.1016/j.neuroimage.2004.05.020
-
Hanson, S. J.; Matsuka, T.; & Haxby, J. V. (2004). Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? NeuroImage, 23(1), 156-166.
-
(2004)
NeuroImage
, vol.23
, Issue.1
, pp. 156-166
-
-
Hanson, S.J.1
Matsuka, T.2
Haxby, J.V.3
-
23
-
-
0035964792
-
Distributed and overlapping representations of faces and objects in ventral temporal cortex
-
11577229 10.1126/science.1063736 1:CAS:528:DC%2BD3MXntlGqsbs%3D
-
Haxby, J.; Gobbini, M. I.; Furev, M. L.; Ishai, A.; Schouten, J. L.; & Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293(5539), 2425-2430.
-
(2001)
Science
, vol.293
, Issue.5539
, pp. 2425-2430
-
-
Haxby, J.1
Gobbini, M.I.2
Furev, M.L.3
Ishai, A.4
Schouten, J.L.5
Pietrini, P.6
-
24
-
-
17844361888
-
Predicting the orientation of invisible stimuli from activity in human primary visual cortex
-
15852013 10.1038/nn1445 1:CAS:528:DC%2BD2MXjsFyktLs%3D
-
Haynes, J.; & Rees, G. (2005). Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nature Neuroscience, 8, 686-691.
-
(2005)
Nature Neuroscience
, vol.8
, pp. 686-691
-
-
Haynes, J.1
Rees, G.2
-
25
-
-
33745587777
-
Decoding mental states from brain activity in humans
-
16791142 10.1038/nrn1931 1:CAS:528:DC%2BD28XmtVSgtr8%3D
-
Haynes, J.; & Rees, G. (2006). Decoding mental states from brain activity in humans. Nature Reviews Neuroscience, 7, 523-534.
-
(2006)
Nature Reviews Neuroscience
, vol.7
, pp. 523-534
-
-
Haynes, J.1
Rees, G.2
-
26
-
-
33846895365
-
Reading hidden intentions in the human brain
-
17291759 10.1016/j.cub.2006.11.072 1:CAS:528:DC%2BD2sXhvVyjtbk%3D
-
Haynes, J.; Sakai, K.; Rees, G.; Gilbert, S.; Frith, C.; & Passingham, R. E. (2007). Reading hidden intentions in the human brain. Current Biology, 17(4), 323-328.
-
(2007)
Current Biology
, vol.17
, Issue.4
, pp. 323-328
-
-
Haynes, J.1
Sakai, K.2
Rees, G.3
Gilbert, S.4
Frith, C.5
Passingham, R.E.6
-
27
-
-
0036143741
-
Face repetition effects in implicit and explicit memory tests as measured by fMRI
-
11739265 10.1093/cercor/12.2.178 1:STN:280:DC%2BD3MnptFaksA%3D%3D
-
Henson, R. N. A.; Shallice, T.; Gorno-Tempini, M.-L.; & Dolan, R. J. (2002). Face repetition effects in implicit and explicit memory tests as measured by fMRI. Cerebral Cortex, 12, 178-186.
-
(2002)
Cerebral Cortex
, vol.12
, pp. 178-186
-
-
Henson, R.N.A.1
Shallice, T.2
Gorno-Tempini, M.-L.3
Dolan, R.J.4
-
30
-
-
17844380475
-
Decoding the visual and subjective contents of the human brain
-
15852014 10.1038/nn1444 1:CAS:528:DC%2BD2MXjsFyktLo%3D
-
Kamitani, Y.; & Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nature Neuroscience, 8, 679-685.
-
(2005)
Nature Neuroscience
, vol.8
, pp. 679-685
-
-
Kamitani, Y.1
Tong, F.2
-
31
-
-
0029143591
-
Functional role of the prefrontal cortex in memory retrieval: A PET study
-
8547589 10.1097/00001756-199510020-00014 1:STN:280:DyaK287gslOjtQ%3D%3D
-
Kapur, S.; Craik, F. I. M.; Brown, G. M.; Houle, S.; & Tulving, E. (1995). Functional role of the prefrontal cortex in memory retrieval: a PET study. Neuroreport, 6, 1880-1884.
-
(1995)
Neuroreport
, vol.6
, pp. 1880-1884
-
-
Kapur, S.1
Craik, F.I.M.2
Brown, G.M.3
Houle, S.4
Tulving, E.5
-
32
-
-
39749191312
-
Automatic classification of MR scans in Alzheimer's disease
-
18202106 10.1093/brain/awm319
-
Klöppel, S.; Stonnington, C. M.; Chu, C.; Draganski, B.; Scahill, R. I.; Rohrer, J. D.; et al. (2008). Automatic classification of MR scans in Alzheimer's disease. Brain, 131, 681-689.
-
(2008)
Brain
, vol.131
, 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
-
33
-
-
84860734393
-
Diagnostic neuroimaging across diseases
-
22094642 10.1016/j.neuroimage.2011.11.002
-
Kloppel, S.; Abdulkadir, A.; Jack, C. R.; Jr.; Koutsouleris, N.; Mourao-Miranda, J.; & Vemuri, P. (2011). Diagnostic neuroimaging across diseases. NeuroImage, 61(2), 457-463.
-
(2011)
NeuroImage
, vol.61
, Issue.2
, pp. 457-463
-
-
Kloppel, S.1
Abdulkadir, A.2
Jack, Jr.C.R.3
Koutsouleris, N.4
Mourao-Miranda, J.5
Vemuri, P.6
-
34
-
-
33644870032
-
Information-based functional brain mapping
-
16537458 10.1073/pnas.0600244103 1:CAS:528:DC%2BD28XivFWisbw%3D
-
Kriegeskorte, N.; Goebel, R.; & Bandettini, P. (2006). Information-based functional brain mapping. PNAS, 103, 3863-3868.
-
(2006)
PNAS
, vol.103
, pp. 3863-3868
-
-
Kriegeskorte, N.1
Goebel, R.2
Bandettini, P.3
-
35
-
-
0037225392
-
The evaluation of preprocessing choices in single-subject BOLD fMRI using NPAIRS performance metrics
-
12507440 10.1006/nimg.2002.1300
-
LaConte, S.; Anderson, J.; Muley, S.; Ashe, J.; Frutiger, S.; Rehm, K.; et al. (2003). The evaluation of preprocessing choices in single-subject BOLD fMRI using NPAIRS performance metrics. NeuroImage, 18(1), 10-27.
-
(2003)
NeuroImage
, vol.18
, Issue.1
, pp. 10-27
-
-
Laconte, S.1
Anderson, J.2
Muley, S.3
Ashe, J.4
Frutiger, S.5
Rehm, K.6
Hansen, L.K.7
Yacoub, E.8
Hu, X.9
Rottenberg, D.10
Strother, S.11
-
36
-
-
19344370474
-
Support vector machines for temporal classification of block design fMRI data
-
15907293 10.1016/j.neuroimage.2005.01.048
-
LaConte, S.; Strother, S.; Cherkassky, V.; & Hu, X. (2005). Support vector machines for temporal classification of block design fMRI data. NeuroImage, 26, 317-329.
-
(2005)
NeuroImage
, vol.26
, pp. 317-329
-
-
Laconte, S.1
Strother, S.2
Cherkassky, V.3
Hu, X.4
-
37
-
-
79954990666
-
Introduction to machine learning for brain imaging
-
21172442 10.1016/j.neuroimage.2010.11.004
-
Lemm, S.; Blankertz, B.; Dickhaus, T.; & Müller, K. (2010). Introduction to machine learning for brain imaging. NeuroImage, 56, 387-399.
-
(2010)
NeuroImage
, vol.56
, pp. 387-399
-
-
Lemm, S.1
Blankertz, B.2
Dickhaus, T.3
Müller, K.4
-
38
-
-
71849092693
-
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
-
19879364 10.1016/j.neuroimage.2009.10.072
-
Marquand, A.; Howard, M.; Brammer, M.; Chu, C.; Coen, S.; & Mourao-Miranda, J. (2010). Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage, 49(3), 2178-2189.
-
(2010)
NeuroImage
, vol.49
, Issue.3
, pp. 2178-2189
-
-
Marquand, A.1
Howard, M.2
Brammer, M.3
Chu, C.4
Coen, S.5
Mourao-Miranda, J.6
-
39
-
-
33750737054
-
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data
-
17010645 10.1016/j.neuroimage.2006.08.016
-
Mourao-Miranda, J.; Reynaud, E.; McGlone, F.; Calvert, G.; & Brammer, M. (2006). The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data. NeuroImage, 33(4), 1055-1065.
-
(2006)
NeuroImage
, vol.33
, Issue.4
, pp. 1055-1065
-
-
Mourao-Miranda, J.1
Reynaud, E.2
McGlone, F.3
Calvert, G.4
Brammer, M.5
-
40
-
-
80052162811
-
Patient classification as an outlier detection problem: An application of the one-class support vector machine
-
21723950 10.1016/j.neuroimage.2011.06.042
-
Mourao-Miranda, J.; Hardoon, D. R.; Hahn, T.; Marquand, A. F.; Williams, S. C.; Shawe-Taylor, J.; et al. (2011). Patient classification as an outlier detection problem: an application of the one-class support vector machine. NeuroImage, 58(3), 793-804.
-
(2011)
NeuroImage
, vol.58
, Issue.3
, pp. 793-804
-
-
Mourao-Miranda, J.1
Hardoon, D.R.2
Hahn, T.3
Marquand, A.F.4
Williams, S.C.5
Shawe-Taylor, J.6
Brammer, M.7
-
41
-
-
84861498787
-
Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression
-
22631624 10.1111/j.1399-5618.2012.01019.x
-
Mourao-Miranda, J.; Almeida, J.; Hassel, S.; de Oliveira, L.; Versace, A.; Marquand, A.; et al. (2012). Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression. Bipolar Disorders, 14(4), 451-460.
-
(2012)
Bipolar Disorders
, vol.14
, Issue.4
, pp. 451-460
-
-
Mourao-Miranda, J.1
Almeida, J.2
Hassel, S.3
De Oliveira, L.4
Versace, A.5
Marquand, A.6
Sato, J.7
Brammer, M.8
Phillips, M.9
-
42
-
-
84857077961
-
Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
-
10.1371/journal.pone.0029482 22355302 10.1371/journal.pone.0029482
-
Mourão-Miranda, J.; Oliveira, L.; Ladouceur, C. D.; Marquand, A.; Brammer, M.; et al. (2012). Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents. PLoS One, 7(2), e29482. doi: 10.1371/journal.pone.0029482.
-
(2012)
PLoS One
, vol.7
, Issue.2
, pp. 29482
-
-
Mourão-Miranda, J.1
Oliveira, L.2
Ladouceur, C.D.3
Marquand, A.4
Brammer, M.5
-
43
-
-
16444364709
-
Partially distributed representations of objects and faces in ventral temporal cortex
-
15829079 10.1162/0898929053467550
-
O'Toole, A. J.; Jiang, F.; Abdi, H.; & Haxby, J. V. (2005). Partially distributed representations of objects and faces in ventral temporal cortex. Journal of Cognitive Neuroscience, 17(4), 580-590.
-
(2005)
Journal of Cognitive Neuroscience
, vol.17
, Issue.4
, pp. 580-590
-
-
O'Toole, A.J.1
Jiang, F.2
Abdi, H.3
Haxby, J.V.4
-
44
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
999888
-
Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; et al. (2011). Scikit-learn: machine learning in python. Journal of Machine Learning Research, 999888, 2825-2830.
-
(2011)
Journal of Machine Learning Research
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay, E.16
-
45
-
-
65549168742
-
Machine learning classifiers and fMRI: A tutorial overview
-
10.1016/j.neuroimage.2008.11.007
-
Pereira, F.; Mitchell, T.; & Botvinick, M. (2009). Machine learning classifiers and fMRI: a tutorial overview. NeuroImage, 45, 199-209.
-
(2009)
NeuroImage
, vol.45
, pp. 199-209
-
-
Pereira, F.1
Mitchell, T.2
Botvinick, M.3
-
46
-
-
79955041471
-
Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients
-
20570741 10.1016/j.neuroimage.2010.05.083
-
Phillips, C. L.; Bruno, M. A.; Maquet, P.; Boly, M.; Noirhomme, Q.; Schnakers, C.; et al. (2011). "Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients. NeuroImage, 56(2), 797-808.
-
(2011)
NeuroImage
, vol.56
, Issue.2
, pp. 797-808
-
-
Phillips, C.L.1
Bruno, M.A.2
Maquet, P.3
Boly, M.4
Noirhomme, Q.5
Schnakers, C.6
Vanhaudenhuyse, A.7
Bonjean, M.8
Hustinx, R.9
Moonen, G.10
Luxen, A.11
Laureys, S.12
-
47
-
-
29344464279
-
Category-specific cortical activity precedes retrieval during memory search
-
16373577 10.1126/science.1117645 1:CAS:528:DC%2BD2MXhtlagurvJ
-
Polyn, S. M.; Natu, V. M.; Cohen, J. D.; & Norman, K. A. (2005). Category-specific cortical activity precedes retrieval during memory search. Science, 310(5756), 1963-1966.
-
(2005)
Science
, vol.310
, Issue.5756
, pp. 1963-1966
-
-
Polyn, S.M.1
Natu, V.M.2
Cohen, J.D.3
Norman, K.A.4
-
49
-
-
84857059478
-
Model sparsity and brain pattern interpretation of classification models in neuroimaging
-
10.1016/j.patcog.2011.09.011
-
Rasmussen, P. M.; Hansen, L. K.; Madsen, K. H.; Churchill, N. W.; & Strother, S. C. (2012). Model sparsity and brain pattern interpretation of classification models in neuroimaging. Pattern Recognition, 45, 2085-2100.
-
(2012)
Pattern Recognition
, vol.45
, pp. 2085-2100
-
-
Rasmussen, P.M.1
Hansen, L.K.2
Madsen, K.H.3
Churchill, N.W.4
Strother, S.C.5
-
50
-
-
84863671296
-
-
NeuroImage
-
Richiardi, J.; Gschwind, M.; Simioni, S.; Annoni, J.-M.; Greco, B.; Hagmann, P.; Schluep, M.; Vuilleumier, P.; Van De Ville, D. (2012). Classifying minimally-disabled multiple sclerosis patients from resting-state functional connectivity, NeuroImage
-
(2012)
Classifying Minimally-disabled Multiple Sclerosis Patients from Resting-state Functional Connectivity
-
-
Richiardi, J.1
Gschwind, M.2
Simioni, S.3
Annoni, J.-M.4
Greco, B.5
Hagmann, P.6
Schluep, M.7
Vuilleumier, P.8
Van De Ville, D.9
-
53
-
-
84860357320
-
Decoding semi-constrained brain activity from fMRI using support vector machines and gaussian processes
-
10.1371 22563410 10.1371/journal.pone.0035860 1:CAS:528: DC%2BC38XntFWksrY%3D
-
Schrouff, J.; Kussé, C.; Wehenkel, L.; Maquet, P.; & Phillips, C. (2012a). Decoding semi-constrained brain activity from fMRI using support vector machines and gaussian processes. PLoS One, 7(4), e35860. doi: 10.1371.
-
(2012)
PLoS One
, vol.7
, Issue.4
, pp. 35860
-
-
Schrouff, J.1
Kussé, C.2
Wehenkel, L.3
Maquet, P.4
Phillips, C.5
-
54
-
-
84867796902
-
Decoding spontaneous brain activity from fMRI using Gaussian Processes: Tracking brain reactivation
-
Schrouff, J.; Kussé, C.; Wehenkel, L.; Maquet, P.; & Phillips, C. (2012b). Decoding spontaneous brain activity from fMRI using Gaussian Processes: tracking brain reactivation, Proceedings of International Workshop on Pattern Recognition in Neuroimaging.
-
(2012)
Proceedings of International Workshop on Pattern Recognition in Neuroimaging
-
-
Schrouff, J.1
Kussé, C.2
Wehenkel, L.3
Maquet, P.4
Phillips, C.5
-
55
-
-
38949165373
-
Using fMRI brain activation to identify cognitive states associated with perception of tools and dwellings
-
10.1371/journal.pone.0001394 18167553 10.1371/journal.pone.0001394
-
Shinkareva, S. V.; Mason, R. A.; Malave, V. L.; Wang, W.; Mitchell, T. M.; et al. (2008). Using fMRI brain activation to identify cognitive states associated with perception of tools and dwellings. PLoS One, 3(1), e1394. doi: 10.1371/journal.pone.0001394.
-
(2008)
PLoS One
, vol.3
, Issue.1
, pp. 1394
-
-
Shinkareva, S.V.1
Mason, R.A.2
Malave, V.L.3
Wang, W.4
Mitchell, T.M.5
-
56
-
-
84881116712
-
-
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 Springer
-
Singh, N.; Fletcher, P.; Preston, J.; Ha, L.; King, R.; Marron, J.; et al. (2010). Multivariate statistical analysis of deformation momenta relating anatomical shape to neuropsychological measures. Springer: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010.
-
(2010)
Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures
-
-
Singh, N.1
Fletcher, P.2
Preston, J.3
Ha, L.4
King, R.5
Marron, J.6
Wiener, M.7
Joshi, S.8
-
57
-
-
0037068827
-
How distributed is visual category information in human occipito-temporal cortex? An fMRI study
-
12354404 10.1016/S0896-6273(02)00877-2 1:CAS:528:DC%2BD38XnsV2htrg%3D
-
Spiridon, M.; & Kanwisher, N. (2002). How distributed is visual category information in human occipito-temporal cortex? An fMRI study. Neuron, 35, 1157-1165.
-
(2002)
Neuron
, vol.35
, pp. 1157-1165
-
-
Spiridon, M.1
Kanwisher, N.2
-
58
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
Tipping, M. E. (2001). Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1, 211-244.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
59
-
-
37849014569
-
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
-
Vemuri, P.; Gunter, J.L.; Senjem, M.L.; Whitwell, J.L.; Kantarci, K.; Knopman, D.S.; Boeve, B.F.; (.), & Jack Jr. C.R. (2008). Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies. NeuroImage, 39(3), 1186-1197.
-
(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
Jack Jr., C.R.8
|