-
1
-
-
0033933649
-
Voxel-based morphometry-the methods
-
Ashburner J., Friston K.J. Voxel-based morphometry-the methods. NeuroImage 2000, 11:805-821.
-
(2000)
NeuroImage
, vol.11
, pp. 805-821
-
-
Ashburner, J.1
Friston, K.J.2
-
4
-
-
0002883508
-
The amygdala and Alzheimers disease
-
Oxford University Press, Oxford, J.P. Aggleton (Ed.)
-
Chow T.W., Cummings J.L. The amygdala and Alzheimers disease. The Amygdala: a functional analysis 2000, 656-680. Oxford University Press, Oxford. J.P. Aggleton (Ed.).
-
(2000)
The Amygdala: a functional analysis
, pp. 656-680
-
-
Chow, T.W.1
Cummings, J.L.2
-
5
-
-
66249143023
-
Fully automatic hippocampus segmentation and classification in Alzheimers disease and mild cognitive impairment applied on data from ADNI
-
Chupin M., Gérardin E., Cuingnet R., Boutet C., Lemieux L., Lehéricy S., et al. Fully automatic hippocampus segmentation and classification in Alzheimers disease and mild cognitive impairment applied on data from ADNI. Hippocampus 2009, 19:579-587.
-
(2009)
Hippocampus
, vol.19
, pp. 579-587
-
-
Chupin, M.1
Gérardin, E.2
Cuingnet, R.3
Boutet, C.4
Lemieux, L.5
Lehéricy, S.6
-
6
-
-
39749189507
-
Detection of prodromal Alzheimer's disease via pattern classification of MRI
-
Davatzikos C., Fan Y., Wu X., Shen D., Resnick S.M. Detection of prodromal Alzheimer's disease via pattern classification of MRI. Neurobiology of Aging 2008, 29:514-523.
-
(2008)
Neurobiology of Aging
, vol.29
, pp. 514-523
-
-
Davatzikos, C.1
Fan, Y.2
Wu, X.3
Shen, D.4
Resnick, S.M.5
-
7
-
-
0032925257
-
Hippocampal and entorhinal cortex atrophy in frontotemporal dementia and Alzheimer's disease
-
Frisoni G.B., Laakso M.P., Beltramello A., Geroldi C., Bianchetti A., Soininen H., et al. Hippocampal and entorhinal cortex atrophy in frontotemporal dementia and Alzheimer's disease. Neurology 1999, 52:91-100.
-
(1999)
Neurology
, vol.52
, pp. 91-100
-
-
Frisoni, G.B.1
Laakso, M.P.2
Beltramello, A.3
Geroldi, C.4
Bianchetti, A.5
Soininen, H.6
-
8
-
-
4344705249
-
Statistical parametric maps in functional imaging: a general linear approach
-
Friston K.J., Holmes A.P., Worsley K.J., Poline J.B., Frith C.D., Frackowiak R.S.J. Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping 1994, 2:189-210.
-
(1994)
Human Brain Mapping
, vol.2
, pp. 189-210
-
-
Friston, K.J.1
Holmes, A.P.2
Worsley, K.J.3
Poline, J.B.4
Frith, C.D.5
Frackowiak, R.S.J.6
-
9
-
-
68749088904
-
On the use of morphometry based features for Alzheimer's disease detection on MRI
-
In Proceedings of the 10th international work-conference on artificial neural networks: part i: bio-inspired systems: computational and ambient intelligence
-
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 Proceedings of the 10th international work-conference on artificial neural networks: part i: bio-inspired systems: computational and ambient intelligence(pp. 957-964).
-
(2009)
, pp. 957-964
-
-
García-Sebastián, M.1
Savio, A.2
Graña, M.3
Villanúa, J.4
-
11
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
Huang G.B., Chen L., Siew C.K. Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 2006, 17:879-892.
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, pp. 879-892
-
-
Huang, G.B.1
Chen, L.2
Siew, C.K.3
-
12
-
-
10044221078
-
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks
-
Huang G.B., Saratchandran P., Sundararajan N. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 2004, 34:2284-2292.
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.34
, pp. 2284-2292
-
-
Huang, G.B.1
Saratchandran, P.2
Sundararajan, N.3
-
13
-
-
0344889207
-
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
-
Jack C.R., Petersen R.C., Xu Y.C., O'Brien P.C., Smith G.E., Ivnik R.J., et al. Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology 1999, 52:1397-1403.
-
(1999)
Neurology
, vol.52
, pp. 1397-1403
-
-
Jack, C.R.1
Petersen, R.C.2
Xu, Y.C.3
O'Brien, P.C.4
Smith, G.E.5
Ivnik, R.J.6
-
14
-
-
0031658438
-
Accurate prediction of histologically confirmed Alzheimer's disease and the differential diagnosis of dementia: the use of NINCDS-ADRDA and DSM-III-R criteria, SPECT, X-ray CT, and apo E4 in medial temporal lobe dementias. Oxford project to investigate memory and aging
-
Jobst K.A., Barnetson L.P., Shepstone B.J. Accurate prediction of histologically confirmed Alzheimer's disease and the differential diagnosis of dementia: the use of NINCDS-ADRDA and DSM-III-R criteria, SPECT, X-ray CT, and apo E4 in medial temporal lobe dementias. Oxford project to investigate memory and aging. International Psychogeriatrics 1998, 10:271-302.
-
(1998)
International Psychogeriatrics
, vol.10
, pp. 271-302
-
-
Jobst, K.A.1
Barnetson, L.P.2
Shepstone, B.J.3
-
15
-
-
0037161240
-
MRI measures of entorhinal cortex vs hippocampus in preclinical AD
-
Killiany R.J., Hyman B.T., Gomez-Isla T., Moss M.B., Kikinis R., Jolesz F., et al. MRI measures of entorhinal cortex vs hippocampus in preclinical AD. Neurology 2002, 58:1188-1196.
-
(2002)
Neurology
, vol.58
, pp. 1188-1196
-
-
Killiany, R.J.1
Hyman, B.T.2
Gomez-Isla, T.3
Moss, M.B.4
Kikinis, R.5
Jolesz, F.6
-
16
-
-
39749191312
-
Automatic classification of MR scans in Alzheimer's disease
-
Klöppel S., Stonnington C.M., Chu C., Draganski B., Scahill R.I., Rohrer J.D., et al. Automatic classification of MR scans in Alzheimer's disease. Brain 2008, 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
-
18
-
-
0029063133
-
Computed tomography-but not magnetic resonance imaging-identified periventricular white-matter lesions predict symptomatic cerebrovascular disease in probable Alzheimer's disease
-
Lopez O.L., Becker J.T., Jungreis C.A., Rezek D., Estol C., Boller F., et al. Computed tomography-but not magnetic resonance imaging-identified periventricular white-matter lesions predict symptomatic cerebrovascular disease in probable Alzheimer's disease. Archives of Neurology 1995, 52:659-664.
-
(1995)
Archives of Neurology
, vol.52
, pp. 659-664
-
-
Lopez, O.L.1
Becker, J.T.2
Jungreis, C.A.3
Rezek, D.4
Estol, C.5
Boller, F.6
-
19
-
-
79952617583
-
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease
-
López M., Ramírez J., Górriz J.M., Álvarez I., Salas-Gonzalez D., Segovia F., et al. Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease. Neurocomputing 2011, 74:1260-1271.
-
(2011)
Neurocomputing
, vol.74
, pp. 1260-1271
-
-
López, M.1
Ramírez, J.2
Górriz, J.M.3
Álvarez, I.4
Salas-Gonzalez, D.5
Segovia, F.6
-
20
-
-
80054733306
-
Alzheimers disease detection using a self-adaptive resource allocation network classifier
-
Mahanand, B. S., Suresh, S., Sundararajan, N., & AswathaKumar, M. (2011). Alzheimers disease detection using a self-adaptive resource allocation network classifier. In Proceedings of international joint conference on neural networks (pp. 1930-1934).
-
(2011)
In Proceedings of international joint conference on neural networks
, pp. 1930-1934
-
-
Mahanand, B.S.1
Suresh, S.2
Sundararajan, N.3
AswathaKumar, M.4
-
21
-
-
34548409688
-
Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
-
Marcus D.S., Wang T.H., Parker J., Csernansky J.G., Morris J.C., Buckner R.L. Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. Journal of Cognitive Neuroscience 2007, 19:1498-1507.
-
(2007)
Journal of Cognitive Neuroscience
, vol.19
, 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
-
23
-
-
0001071040
-
A resource-allocating network for function interpolation
-
Platt J. A resource-allocating network for function interpolation. Neural Computation 1991, 3:213-225.
-
(1991)
Neural Computation
, vol.3
, pp. 213-225
-
-
Platt, J.1
-
24
-
-
70349095910
-
Early detection of the Alzheimer's disease combining feature selection and kernel machines
-
Springer, Berlin, Heidelberg, M. Köppen, N. Kasabov, G. Coghill (Eds.)
-
Ramírez J., Górriz J.M., López M., Salas-Gonzalez D., Álvarez I., Segovia F., et al. Early detection of the Alzheimer's disease combining feature selection and kernel machines. Advances in neuro-information processing 2009, vol. 5507:410-417. Springer, Berlin, Heidelberg. M. Köppen, N. Kasabov, G. Coghill (Eds.).
-
(2009)
Advances in neuro-information processing
, vol.5507
, pp. 410-417
-
-
Ramírez, J.1
Górriz, J.M.2
López, M.3
Salas-Gonzalez, D.4
Álvarez, I.5
Segovia, F.6
-
25
-
-
79551661137
-
ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented
-
Saraswathi S., Suresh S., Sundararajan N., Zimmermann M., Nilsen-Hamilton M. ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2011, 8:452-463.
-
(2011)
IEEE/ACM Transactions on Computational Biology and Bioinformatics
, vol.8
, pp. 452-463
-
-
Saraswathi, S.1
Suresh, S.2
Sundararajan, N.3
Zimmermann, M.4
Nilsen-Hamilton, M.5
-
26
-
-
84856317703
-
Meta-cognitive neural network for classification problems in a sequential learning framework
-
Sateesh Babu G., Suresh S. Meta-cognitive neural network for classification problems in a sequential learning framework. Neurocomputing 2012, 81:86-96.
-
(2012)
Neurocomputing
, vol.81
, pp. 86-96
-
-
Sateesh Babu, G.1
Suresh, S.2
-
28
-
-
84861771363
-
-
SPM8. Wellcome trust center for neuroimaging, Institute of neurology, UCL, London, UK.
-
SPM8 (2011). Wellcome trust center for neuroimaging, Institute of neurology, UCL, London, UK. http://www.fil.ion.ucl.ac.uk/spm/.
-
(2011)
-
-
-
29
-
-
33745387620
-
Divisible load scheduling in tree network with limited memory: a genetic algorithm and linear programming approach
-
Suresh S., Mani V., Omkar S.N., Kim H.J. Divisible load scheduling in tree network with limited memory: a genetic algorithm and linear programming approach. International Journal of Parallel Emergent and Distributed System 2006, 21:303-321.
-
(2006)
International Journal of Parallel Emergent and Distributed System
, vol.21
, pp. 303-321
-
-
Suresh, S.1
Mani, V.2
Omkar, S.N.3
Kim, H.J.4
-
30
-
-
78649975292
-
A sequential learning algorithm for self-adaptive resource allocation network classifier
-
Suresh S., Dong K., Kim H.J. A sequential learning algorithm for self-adaptive resource allocation network classifier. Neurocomputing 2010, 73:3012-3019.
-
(2010)
Neurocomputing
, vol.73
, pp. 3012-3019
-
-
Suresh, S.1
Dong, K.2
Kim, H.J.3
-
31
-
-
77957870624
-
Performance enhancement of extreme learning machine for multi-category sparse data classification problems
-
Suresh S., Saraswathi S., Sundararajan N. Performance enhancement of extreme learning machine for multi-category sparse data classification problems. Engineering Application of Artificial Intelligence 2010, 23:1149-1157.
-
(2010)
Engineering Application of Artificial Intelligence
, vol.23
, pp. 1149-1157
-
-
Suresh, S.1
Saraswathi, S.2
Sundararajan, N.3
-
32
-
-
41749093196
-
Risk sensitive hinge loss functions for sparse multi-category classification problems
-
Suresh S., Sundararajan N., Saratchandran P. Risk sensitive hinge loss functions for sparse multi-category classification problems. Information Sciences 2008, 178:2621-2638.
-
(2008)
Information Sciences
, vol.178
, pp. 2621-2638
-
-
Suresh, S.1
Sundararajan, N.2
Saratchandran, P.3
-
33
-
-
40649123279
-
A sequential multi-category classifier using radial basis function networks
-
Suresh S., Sundararajan N., Saratchandran P. A sequential multi-category classifier using radial basis function networks. Neurocomputing 2008, 71:1345-1358.
-
(2008)
Neurocomputing
, vol.71
, pp. 1345-1358
-
-
Suresh, S.1
Sundararajan, N.2
Saratchandran, P.3
-
34
-
-
34247623771
-
Tracking Alzheimers disease
-
Thompson P.M., Hayashi K.M., Dutton R.A., Chiang M.C., Leow A.D., Sowell E.R., et al. Tracking Alzheimers disease. Annals Of The New York Academy Of Sciences 2007, 1097:183-214.
-
(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
-
35
-
-
0033913711
-
The parahippocampal gyrus in Alzheimer's disease. Clinical and preclinical neuroanatomical correlates
-
Van Hoesen G.W., Augustinack J.C., Dierking J., Redman S.J., Thangavel R. The parahippocampal gyrus in Alzheimer's disease. Clinical and preclinical neuroanatomical correlates. Annals of the New York Academy of Sciences 2000, 911:254-274.
-
(2000)
Annals of the New York Academy of Sciences
, vol.911
, pp. 254-274
-
-
Van Hoesen, G.W.1
Augustinack, J.C.2
Dierking, J.3
Redman, S.J.4
Thangavel, R.5
-
36
-
-
0031568361
-
A sequental learning scheme for function approximation using minimal radial basis function neural networks
-
Yingwei L., Sundararajan N., Saratchandran P. A sequental learning scheme for function approximation using minimal radial basis function neural networks. Neural Computation 1997, 9:461-478.
-
(1997)
Neural Computation
, vol.9
, pp. 461-478
-
-
Yingwei, L.1
Sundararajan, N.2
Saratchandran, P.3
|