Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 261

1.

Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease.

Jie B, Zhang D, Cheng B, Shen D.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):275-83.

2.

Manifold regularized multitask feature learning for multimodality disease classification.

Jie B, Zhang D, Cheng B, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2015 Feb;36(2):489-507. doi: 10.1002/hbm.22642. Epub 2014 Oct 3.

3.

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.

Liu F, Wee CY, Chen H, Shen D.

Neuroimage. 2014 Jan 1;84:466-75. doi: 10.1016/j.neuroimage.2013.09.015. Epub 2013 Sep 14.

4.

Multi-modality canonical feature selection for Alzheimer's disease diagnosis.

Zhu X, Suk HI, Shen D.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):162-9.

5.

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease.

Zhang D, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Jan 16;59(2):895-907. doi: 10.1016/j.neuroimage.2011.09.069. Epub 2011 Oct 4. Erratum in: Neuroimage. 2012 Sep;62(3):2179.

6.

Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.

Xu L, Wu X, Chen K, Yao L.

Comput Methods Programs Biomed. 2015 Nov;122(2):182-90. doi: 10.1016/j.cmpb.2015.08.004. Epub 2015 Aug 10.

PMID:
26298855
7.

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Cheng B, Liu M, Suk HI, Shen D, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Brain Imaging Behav. 2015 Dec;9(4):913-26. doi: 10.1007/s11682-015-9356-x.

8.

Inter-modality relationship constrained multi-task feature selection for AD/MCI classification.

Liu F, Wee CY, Chen H, Shen D.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):308-15.

9.

Clustering-induced multi-task learning for AD/MCI classification.

Suk HI, Shen D.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):393-400.

10.

Deep learning based imaging data completion for improved brain disease diagnosis.

Li R, Zhang W, Suk HI, Wang L, Li J, Shen D, Ji S.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):305-12.

11.

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Zu C, Jie B, Liu M, Chen S, Shen D, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Brain Imaging Behav. 2016 Dec;10(4):1148-1159.

PMID:
26572145
12.

Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.

Ye T, Zu C, Jie B, Shen D, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Brain Imaging Behav. 2016 Sep;10(3):739-49. doi: 10.1007/s11682-015-9437-x.

13.

MKL for robust multi-modality AD classification.

Hinrichs C, Singh V, Xu G, Johnson S.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):786-94.

14.

Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO.

Guerrero R, Wolz R, Rao AW, Rueckert D; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neuroimage. 2014 Jul 1;94:275-286. doi: 10.1016/j.neuroimage.2014.03.036. Epub 2014 Mar 21.

PMID:
24657351
15.

Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.

Ota K, Oishi N, Ito K, Fukuyama H; SEAD-J Study Group; Alzheimer's Disease Neuroimaging Initiative.

J Neurosci Methods. 2015 Dec 30;256:168-83. doi: 10.1016/j.jneumeth.2015.08.020. Epub 2015 Aug 28.

16.

Deep learning-based feature representation for AD/MCI classification.

Suk HI, Shen D.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):583-90.

17.

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.

18.

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.

Neuroimage. 2011 Apr 1;55(3):856-67. doi: 10.1016/j.neuroimage.2011.01.008. Epub 2011 Jan 12.

19.

Multifold Bayesian kernelization in Alzheimer's diagnosis.

Liu S, Song Y, Cai W, Pujol S, Kikinis R, Wang X, Feng D.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):303-10.

20.

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.

Suk HI, Lee SW, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Nov 1;101:569-82. doi: 10.1016/j.neuroimage.2014.06.077. Epub 2014 Jul 18.

Supplemental Content

Support Center