-
1
-
-
84894232779
-
Tracking whole-brain connectivity dynamics in the resting state
-
Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD (2014): Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex 24:663–676
-
(2014)
Cereb Cortex
, vol.24
, pp. 663-676
-
-
Allen, E.A.1
Damaraju, E.2
Plis, S.M.3
Erhardt, E.B.4
Eichele, T.5
Calhoun, V.D.6
-
3
-
-
84858225391
-
2012 Alzheimer's disease facts and figures
-
Association AS (2012): 2012 Alzheimer's disease facts and figures. Alzheimer's Dement 8:131–168.
-
(2012)
Alzheimer's Dement
, vol.8
, pp. 131-168
-
-
Association, A.S.1
-
8
-
-
84874541551
-
EEG correlates of time-varying BOLD functional connectivity
-
Chang C, Liu Z, Chen MC, Liu X, Duyn JH (2013): EEG correlates of time-varying BOLD functional connectivity. Neuroimage 72:227–236.
-
(2013)
Neuroimage
, vol.72
, pp. 227-236
-
-
Chang, C.1
Liu, Z.2
Chen, M.C.3
Liu, X.4
Duyn, J.H.5
-
9
-
-
79958810411
-
Recursive projection twin support vector machine via within-class variance minimization
-
Chen X, Yang J, Ye Q, Liang J (2011): Recursive projection twin support vector machine via within-class variance minimization. Pattern Recognit 44:2643–2655.
-
(2011)
Pattern Recognit
, vol.44
, pp. 2643-2655
-
-
Chen, X.1
Yang, J.2
Ye, Q.3
Liang, J.4
-
10
-
-
84908479126
-
Structural max-margin discriminant analysis for feature extraction
-
Chen X, Xiao Y, Cai Y, Chen L (2014): Structural max-margin discriminant analysis for feature extraction. Knowl Based Syst 70:154–166.
-
(2014)
Knowl Based Syst
, vol.70
, pp. 154-166
-
-
Chen, X.1
Xiao, Y.2
Cai, Y.3
Chen, L.4
-
11
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V (1995): Support-vector networks. Mach Learn 20:273–297.
-
(1995)
Mach Learn
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
12
-
-
79955059574
-
Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
-
Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehéricy S, Habert MO, Chupin M, Benali H, Colliot O; Alzheimer's Disease Neuroimaging Initiative (2011): Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database. Neuroimage 56:766–781.
-
(2011)
Neuroimage
, vol.56
, 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
-
-
84907319663
-
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
-
Damaraju E, Allen E, Belger A, Ford J, McEwen S, Mathalon D, Mueller B, Pearlson G, Potkin S, Preda A (2014): Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage 5:298–308.
-
(2014)
NeuroImage
, vol.5
, pp. 298-308
-
-
Damaraju, E.1
Allen, E.2
Belger, A.3
Ford, J.4
McEwen, S.5
Mathalon, D.6
Mueller, B.7
Pearlson, G.8
Potkin, S.9
Preda, A.10
-
14
-
-
84893766307
-
The joint graphical lasso for inverse covariance estimation across multiple classes
-
Danaher P, Wang P, Witten DM (2014): The joint graphical lasso for inverse covariance estimation across multiple classes. J R Stat Soc Ser B (Stat Methodol) 76:373–397.
-
(2014)
J R Stat Soc Ser B (Stat Methodol)
, vol.76
, pp. 373-397
-
-
Danaher, P.1
Wang, P.2
Witten, D.M.3
-
15
-
-
80053654021
-
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
-
Davatzikos C, Bhatt P, Shaw LM, Batmanghelich KN, Trojanowski JQ (2011): Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol Aging 32:2322.e19–2322.e27.
-
(2011)
Neurobiol Aging
, vol.32
, pp. 2322.e19-2322.e27
-
-
Davatzikos, C.1
Bhatt, P.2
Shaw, L.M.3
Batmanghelich, K.N.4
Trojanowski, J.Q.5
-
16
-
-
0023710206
-
Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
-
DeLong ER, DeLong DM, Clarke-Pearson DL (1988): Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 837–845.
-
(1988)
Biometrics
, pp. 837-845
-
-
DeLong, E.R.1
DeLong, D.M.2
Clarke-Pearson, D.L.3
-
17
-
-
79951910749
-
Atrophy in the parahippocampal gyrus as an early biomarker of Alzheimer's disease
-
Echávarri C, Aalten P, Uylings H, Jacobs H, Visser P, Gronenschild E, Verhey F, Burgmans S (2011): Atrophy in the parahippocampal gyrus as an early biomarker of Alzheimer's disease. Brain Struct Funct 215:265–271.
-
(2011)
Brain Struct Funct
, vol.215
, pp. 265-271
-
-
Echávarri, C.1
Aalten, P.2
Uylings, H.3
Jacobs, H.4
Visser, P.5
Gronenschild, E.6
Verhey, F.7
Burgmans, S.8
-
18
-
-
34848814460
-
FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease
-
Foster NL, Heidebrink JL, Clark CM, Jagust WJ, Arnold SE, Barbas NR, DeCarli CS, Turner RS, Koeppe RA, Higdon R (2007): FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease. Brain 130:2616–2635.
-
(2007)
Brain
, vol.130
, pp. 2616-2635
-
-
Foster, N.L.1
Heidebrink, J.L.2
Clark, C.M.3
Jagust, W.J.4
Arnold, S.E.5
Barbas, N.R.6
DeCarli, C.S.7
Turner, R.S.8
Koeppe, R.A.9
Higdon, R.10
-
19
-
-
66349133709
-
The global signal and observed anticorrelated resting state brain networks
-
Fox MD, Zhang D, Snyder AZ, Raichle ME (2009): The global signal and observed anticorrelated resting state brain networks. J Neurophysiol 101:3270–3283.
-
(2009)
J Neurophysiol
, vol.101
, pp. 3270-3283
-
-
Fox, M.D.1
Zhang, D.2
Snyder, A.Z.3
Raichle, M.E.4
-
20
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical lasso
-
Friedman J, Hastie T, Tibshirani R (2008): Sparse inverse covariance estimation with the graphical lasso. Biostatistics 9:432–441.
-
(2008)
Biostatistics
, vol.9
, pp. 432-441
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
21
-
-
0027441566
-
Functional connectivity: The principal-component analysis of large (PET) data sets
-
Friston K, Frith C, Liddle P, Frackowiak R (1993): Functional connectivity: The principal-component analysis of large (PET) data sets. J Cereb Blood Flow Metab 13:5–14.
-
(1993)
J Cereb Blood Flow Metab
, vol.13
, pp. 5-14
-
-
Friston, K.1
Frith, C.2
Liddle, P.3
Frackowiak, R.4
-
22
-
-
33646035489
-
Mild cognitive impairment
-
Gauthier S, Reisberg B, Zaudig M, Petersen RC, Ritchie K, Broich K, Belleville S, Brodaty H, Bennett D, Chertkow H (2006): Mild cognitive impairment. Lancet 367:1262–1270.
-
(2006)
Lancet
, vol.367
, pp. 1262-1270
-
-
Gauthier, S.1
Reisberg, B.2
Zaudig, M.3
Petersen, R.C.4
Ritchie, K.5
Broich, K.6
Belleville, S.7
Brodaty, H.8
Bennett, D.9
Chertkow, H.10
-
23
-
-
84911929895
-
Maximizing Negative Correlations in Resting-State Functional Connectivity MRI by Time-Lag
-
Goelman G, Gordon N, Bonne O (2014): Maximizing Negative Correlations in Resting-State Functional Connectivity MRI by Time-Lag. PLoS One 9:15.
-
(2014)
PLoS One
, vol.9
-
-
Goelman, G.1
Gordon, N.2
Bonne, O.3
-
24
-
-
84890543083
-
-
IEEE, pp
-
Graves A, Mohamed AR, Hinton GE (2013): Speech recognition with deep recurrent neural networks IEEE International conference on acoustics, speech and signal processing. IEEE, pp 6645–6649.
-
(2013)
Speech recognition with deep recurrent neural networks IEEE International conference on acoustics, speech and signal processing.
, pp. 6645-6649
-
-
Graves, A.1
Mohamed, A.R.2
Hinton, G.E.3
-
25
-
-
52049121840
-
Resting-state functional connectivity in neuropsychiatric disorders
-
Greicius M (2008): Resting-state functional connectivity in neuropsychiatric disorders. Curr Opin Neurol 21:424–430.
-
(2008)
Curr Opin Neurol
, vol.21
, pp. 424-430
-
-
Greicius, M.1
-
27
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Hinton GE, Salakhutdinov RR (2006): Reducing the dimensionality of data with neural networks. Science 313:504–507.
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
28
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton GE, Osindero S, Teh YW (2006): A fast learning algorithm for deep belief nets. Neural Comput 18:1527–1554.
-
(2006)
Neural Comput
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.W.3
-
29
-
-
77249118678
-
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
-
Huang S, Li J, Sun L, Ye J, Fleisher A, Wu T, Chen K, Reiman E; Alzheimer's Disease Neuroimaging Initiative (2010): Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. NeuroImage 50:935–949.
-
(2010)
NeuroImage
, vol.50
, pp. 935-949
-
-
Huang, S.1
Li, J.2
Sun, L.3
Ye, J.4
Fleisher, A.5
Wu, T.6
Chen, K.7
Reiman, E.8
-
30
-
-
84880333792
-
Dynamic functional connectivity: Promise, issues, and interpretations
-
Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, Corbetta M, Della Penna S, Duyn JH, Glover GH, Gonzalez-Castillo J (2013): Dynamic functional connectivity: Promise, issues, and interpretations. Neuroimage 80:360–378.
-
(2013)
Neuroimage
, vol.80
, pp. 360-378
-
-
Hutchison, R.M.1
Womelsdorf, T.2
Allen, E.A.3
Bandettini, P.A.4
Calhoun, V.D.5
Corbetta, M.6
Della Penna, S.7
Duyn, J.H.8
Glover, G.H.9
Gonzalez-Castillo, J.10
-
31
-
-
41949137974
-
The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods
-
Jack CR, Bernstein MA, Fox NC, Thompson P, Alexander G, Harvey D, Borowski B, Britson PJ, L, Whitwell J, Ward C, Dale AM, Felmlee JP, Gunter JL, Hill DL, Killiany R, Schuff N, Fox-Bosetti S, Lin C, Studholme C, DeCarli CS, Krueger G, Ward HA, Metzger GJ, Scott KT, Mallozzi R, Blezek D, Levy J, Debbins JP, Fleisher AS, Albert M, Green R, Bartzokis G, Glover G, Mugler J, Weiner MW (2008): The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J Magn Reson Imaging 27:685–691.
-
(2008)
J Magn Reson Imaging
, vol.27
, pp. 685-691
-
-
Jack, C.R.1
Bernstein, M.A.2
Fox, N.C.3
Thompson, P.4
Alexander, G.5
Harvey, D.6
Borowski, B.7
Britson, P.J.8
Whitwell, J.9
Ward, C.10
Dale, A.M.11
Felmlee, J.P.12
Gunter, J.L.13
Hill, D.L.14
Killiany, R.15
Schuff, N.16
Fox-Bosetti, S.17
Lin, C.18
Studholme, C.19
DeCarli, C.S.20
Krueger, G.21
Ward, H.A.22
Metzger, G.J.23
Scott, K.T.24
Mallozzi, R.25
Blezek, D.26
Levy, J.27
Debbins, J.P.28
Fleisher, A.S.29
Albert, M.30
Green, R.31
Bartzokis, G.32
Glover, G.33
Mugler, J.34
Weiner, M.W.35
more..
-
32
-
-
82855161410
-
Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings
-
Jacobs HI, Van Boxtel MP, Jolles J, Verhey FR, Uylings HB (2012): Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings. Neurosci Biobehav Rev 36:297–309.
-
(2012)
Neurosci Biobehav Rev
, vol.36
, pp. 297-309
-
-
Jacobs, H.I.1
Van Boxtel, M.P.2
Jolles, J.3
Verhey, F.R.4
Uylings, H.B.5
-
34
-
-
84893330870
-
Integration of network topological and connectivity properties for neuroimaging classification
-
Jie B, Zhang D, Gao W, Wang Q, Wee CY, Shen D (2014b): Integration of network topological and connectivity properties for neuroimaging classification. IEEE Trans Biomed Eng 61:576–589.
-
(2014)
IEEE Trans Biomed Eng
, vol.61
, pp. 576-589
-
-
Jie, B.1
Zhang, D.2
Gao, W.3
Wang, Q.4
Wee, C.Y.5
Shen, D.6
-
35
-
-
84878491154
-
Phospholipids and Alzheimer's disease: Alterations, mechanisms and potential biomarkers
-
Kosicek M, Hecimovic S (2013): Phospholipids and Alzheimer's disease: Alterations, mechanisms and potential biomarkers. Int J Mol Sci 14:1310–1322.
-
(2013)
Int J Mol Sci
, vol.14
, pp. 1310-1322
-
-
Kosicek, M.1
Hecimovic, S.2
-
37
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun Y, Bottou L, Bengio Y, Haffner P (1998): Gradient-based learning applied to document recognition. Proc IEEE 86:2278–2324.
-
(1998)
Proc IEEE
, vol.86
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
38
-
-
84886441779
-
Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest
-
Leonardi N, Richiardi J, Gschwind M, Simioni S, Annoni JM, Schluep M, Vuilleumier P, Van De Ville D (2013): Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest. NeuroImage 83:937–950.
-
(2013)
NeuroImage
, vol.83
, pp. 937-950
-
-
Leonardi, N.1
Richiardi, J.2
Gschwind, M.3
Simioni, S.4
Annoni, J.M.5
Schluep, M.6
Vuilleumier, P.7
Van De Ville, D.8
-
39
-
-
84940975497
-
A robust deep model for improved classification of AD/MCI patients
-
Li F, Tran L, Thung K-H, Ji S, Shen D, Li J (2015): A robust deep model for improved classification of AD/MCI patients. IEEE J Biomed Health Inform 19:1610–1616.
-
(2015)
IEEE J Biomed Health Inform
, vol.19
, pp. 1610-1616
-
-
Li, F.1
Tran, L.2
Thung, K.-H.3
Ji, S.4
Shen, D.5
Li, J.6
-
41
-
-
84925851214
-
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
-
Liu S, Liu S, Cai W, Che H, Pujol S, Kikinis R, Feng D, Fulham MJ (2015): Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. IEEE Trans Biomed Eng 62:1132–1140.
-
(2015)
IEEE Trans Biomed Eng
, vol.62
, pp. 1132-1140
-
-
Liu, S.1
Liu, S.2
Cai, W.3
Che, H.4
Pujol, S.5
Kikinis, R.6
Feng, D.7
Fulham, M.J.8
-
42
-
-
0021271971
-
Clinical diagnosis of Alzheimer's disease Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease
-
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM (1984): Clinical diagnosis of Alzheimer's disease Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 34:939–939.
-
(1984)
Neurology
, vol.34
, pp. 939
-
-
McKhann, G.1
Drachman, D.2
Folstein, M.3
Katzman, R.4
Price, D.5
Stadlan, E.M.6
-
43
-
-
0035195760
-
Current concepts in mild cognitive impairment
-
Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, Rabins PV, Ritchie K, Rossor M, Thal L, Winblad B (2001): Current concepts in mild cognitive impairment. Arch Neurol 58:1985–1992.
-
(2001)
Arch Neurol
, vol.58
, pp. 1985-1992
-
-
Petersen, R.C.1
Doody, R.2
Kurz, A.3
Mohs, R.C.4
Morris, J.C.5
Rabins, P.V.6
Ritchie, K.7
Rossor, M.8
Thal, L.9
Winblad, B.10
-
44
-
-
77954385460
-
Complex network measures of brain connectivity: Uses and interpretations
-
Rubinov M, Sporns O (2010): Complex network measures of brain connectivity: Uses and interpretations. Neuroimage 52:1059–1069.
-
(2010)
Neuroimage
, vol.52
, pp. 1059-1069
-
-
Rubinov, M.1
Sporns, O.2
-
46
-
-
84946568091
-
Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: A machine learning approach
-
Salvatore C, Cerasa A, Battista P, Gilardi MC, Quattrone A, Castiglioni I; Alzheimer's Disease Neuroimaging Initiative (2015): Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: A machine learning approach. Front Neurosci 9:307.
-
(2015)
Front Neurosci
, vol.9
, pp. 307
-
-
Salvatore, C.1
Cerasa, A.2
Battista, P.3
Gilardi, M.C.4
Quattrone, A.5
Castiglioni, I.6
-
47
-
-
84902476794
-
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment
-
Seixas FL, Zadrozny B, Laks J, Conci A, Saade DCM (2014): A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment. Comput Biol Med 51:140–158.
-
(2014)
Comput Biol Med
, vol.51
, pp. 140-158
-
-
Seixas, F.L.1
Zadrozny, B.2
Laks, J.3
Conci, A.4
Saade, D.C.M.5
-
48
-
-
78649717035
-
Network modelling methods for FMRI
-
Smith SM, Miller KL, Salimi-Khorshidi G, Webster M, Beckmann CF, Nichols TE, Ramsey JD, Woolrich MW (2011): Network modelling methods for FMRI. Neuroimage 54:875–891.
-
(2011)
Neuroimage
, vol.54
, pp. 875-891
-
-
Smith, S.M.1
Miller, K.L.2
Salimi-Khorshidi, G.3
Webster, M.4
Beckmann, C.F.5
Nichols, T.E.6
Ramsey, J.D.7
Woolrich, M.W.8
-
49
-
-
84863115584
-
Temporally-independent functional modes of spontaneous brain activity
-
Smith SM, Miller KL, Moeller S, Xu J, Auerbach EJ, Woolrich MW, Beckmann CF, Jenkinson M, Andersson J, Glasser MF (2012): Temporally-independent functional modes of spontaneous brain activity. Proc Natl Acad Sci USA 109:3131–3136.
-
(2012)
Proc Natl Acad Sci USA
, vol.109
, pp. 3131-3136
-
-
Smith, S.M.1
Miller, K.L.2
Moeller, S.3
Xu, J.4
Auerbach, E.J.5
Woolrich, M.W.6
Beckmann, C.F.7
Jenkinson, M.8
Andersson, J.9
Glasser, M.F.10
-
50
-
-
79954516559
-
The human connectome: A complex network
-
Sporns O (2011): The human connectome: A complex network. Ann N Y Acad Sci 1224:109–125.
-
(2011)
Ann N Y Acad Sci
, vol.1224
, pp. 109-125
-
-
Sporns, O.1
-
51
-
-
84923814844
-
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
-
Suk HI, Lee SW, Shen D; Alzheimer's Disease Neuroimaging Initiative (2013): Latent feature representation with stacked auto-encoder for AD/MCI diagnosis. Brain Struct Funct 220:841–859.
-
(2013)
Brain Struct Funct
, vol.220
, pp. 841-859
-
-
Suk, H.I.1
Lee, S.W.2
Shen, D.3
-
53
-
-
84907019192
-
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
-
Suk HI, Lee SW, Shen D; Alzheimer's Disease Neuroimaging Initiative (2014b): Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. NeuroImage 101:569–582.
-
(2014)
NeuroImage
, vol.101
, pp. 569-582
-
-
Suk, H.I.1
Lee, S.W.2
Shen, D.3
-
54
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R (1996): Regression shrinkage and selection via the lasso. J R Stat Soc Ser B (Methodol) 58:267–288.
-
(1996)
J R Stat Soc Ser B (Methodol)
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
55
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
Tibshirani R, Saunders M, Rosset S, Zhu J, Knight K (2005): Sparsity and smoothness via the fused lasso. J R Stat Soc Ser B (Stat Methodol) 67:91–108.
-
(2005)
J R Stat Soc Ser B (Stat Methodol)
, vol.67
, pp. 91-108
-
-
Tibshirani, R.1
Saunders, M.2
Rosset, S.3
Zhu, J.4
Knight, K.5
-
56
-
-
59949083745
-
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality
-
Uddin LQ, Clare Kelly A, Biswal BB, Xavier Castellanos F, Milham MP (2009): Functional connectivity of default mode network components: Correlation, anticorrelation, and causality. Hum brain Mapp 30:625–637.
-
(2009)
Hum brain Mapp
, vol.30
, pp. 625-637
-
-
Uddin, L.Q.1
Clare Kelly, A.2
Biswal, B.B.3
Xavier Castellanos, F.4
Milham, M.P.5
-
58
-
-
84944178665
-
Hierarchical grouping to optimize an objective function
-
Ward JH Jr (1963): Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244.
-
(1963)
J Am Stat Assoc
, vol.58
, pp. 236-244
-
-
Ward, J.H.1
-
59
-
-
0032482432
-
Collective dynamics of ‘small-world’ networks
-
Watts DJ, Strogatz SH (1998): Collective dynamics of ‘small-world’ networks. Nature 393:440–442.
-
(1998)
Nature
, vol.393
, pp. 440-442
-
-
Watts, D.J.1
Strogatz, S.H.2
-
60
-
-
84861644119
-
Resting-state multi-spectrum functional connectivity networks for identification of MCI patients
-
Wee CY, Yap PT, Denny K, Browndyke JN, Potter GG, Welsh-Bohmer KA, Wang L, Shen D (2012a): Resting-state multi-spectrum functional connectivity networks for identification of MCI patients. PloS One 7:e37828.
-
(2012)
PloS One
, vol.7
-
-
Wee, C.Y.1
Yap, P.T.2
Denny, K.3
Browndyke, J.N.4
Potter, G.G.5
Welsh-Bohmer, K.A.6
Wang, L.7
Shen, D.8
-
61
-
-
84872932372
-
-
Springer. pp
-
Wee C-Y, Yap P-T, Zhang D, Wang L, Shen D (2012b): Constrained sparse functional connectivity networks for MCI classification. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012. Springer. pp 212–219.
-
(2012)
Constrained sparse functional connectivity networks for MCI classification. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012
, pp. 212-219
-
-
Wee, C.-Y.1
Yap, P.-T.2
Zhang, D.3
Wang, L.4
Shen, D.5
-
63
-
-
84933566531
-
Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification
-
Wee CY, Yang S, Yap PT, Shen D, Alzheimer's Disease Neuroimaging Initiative (2015): Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification. Brain Imaging Behav 1–15, doi:10.1007/s11682-015-9408-2.
-
(2015)
Brain Imaging Behav
, pp. 1-15
-
-
Wee, C.Y.1
Yang, S.2
Yap, P.T.3
Shen, D.4
-
64
-
-
61549128441
-
Robust face recognition via sparse representation
-
Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y (2009): Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31:210–227.
-
(2009)
IEEE Trans Pattern Anal Mach Intell
, vol.31
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
65
-
-
84940386483
-
Fused multiple graphical lasso
-
Yang S, Lu Z, Shen X, Wonka P, Ye J (2015): Fused multiple graphical lasso. SIAM J Optim 25:916–943.
-
(2015)
SIAM J Optim
, vol.25
, pp. 916-943
-
-
Yang, S.1
Lu, Z.2
Shen, X.3
Wonka, P.4
Ye, J.5
-
66
-
-
79952073234
-
Multimodal classification of Alzheimer's disease and mild cognitive impairment
-
Zhang D, Wang Y, Zhou L, Yuan H, Shen D, Alzheimer's Disease Neuroimaging Initiative (2011): Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage 55:856–867.
-
(2011)
Neuroimage
, vol.55
, pp. 856-867
-
-
Zhang, D.1
Wang, Y.2
Zhou, L.3
Yuan, H.4
Shen, D.5
|