Format
Items per page
Sort by

Send to:

Choose Destination

Links from PubMed

Items: 1 to 20 of 97

1.

Bi-level multi-source learning for heterogeneous block-wise missing data.

Xiang S, Yuan L, Fan W, Wang Y, Thompson PM, Ye J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Nov 15;102 Pt 1:192-206. doi: 10.1016/j.neuroimage.2013.08.015. Epub 2013 Aug 27. Review.

2.

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.

Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Jul 2;61(3):622-32. doi: 10.1016/j.neuroimage.2012.03.059. Epub 2012 Mar 29.

3.

Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data.

Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J.

KDD. 2012:1149-1157.

4.

Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.

Yu G, Liu Y, Thung KH, Shen D.

PLoS One. 2014 May 12;9(5):e96458. doi: 10.1371/journal.pone.0096458. eCollection 2014.

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.

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.

Gray KR, Aljabar P, Heckemann RA, Hammers A, Rueckert D; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Jan 15;65:167-75. doi: 10.1016/j.neuroimage.2012.09.065. Epub 2012 Oct 4.

7.

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.

8.

The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR, Jagust W, Liu E, Morris JC, Petersen RC, Saykin AJ, Schmidt ME, Shaw L, Shen L, Siuciak JA, Soares H, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2013 Sep;9(5):e111-94. doi: 10.1016/j.jalz.2013.05.1769. Epub 2013 Aug 7. Review.

9.

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.

10.

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.

11.

11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment.

Jack CR Jr, Lowe VJ, Senjem ML, Weigand SD, Kemp BJ, Shiung MM, Knopman DS, Boeve BF, Klunk WE, Mathis CA, Petersen RC.

Brain. 2008 Mar;131(Pt 3):665-80. doi: 10.1093/brain/awm336. Epub 2008 Feb 7.

12.

Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers.

Shaffer JL, Petrella JR, Sheldon FC, Choudhury KR, Calhoun VD, Coleman RE, Doraiswamy PM; Alzheimer’s Disease Neuroimaging Initiative.

Radiology. 2013 Feb;266(2):583-91. doi: 10.1148/radiol.12120010. Epub 2012 Dec 11.

13.

Integrating ADNI results into Alzheimer's disease drug development programs.

Cummings JL.

Neurobiol Aging. 2010 Aug;31(8):1481-92. doi: 10.1016/j.neurobiolaging.2010.03.016. Epub 2010 May 5. Review.

14.

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.

15.

Predicting missing biomarker data in a longitudinal study of Alzheimer disease.

Lo RY, Jagust WJ; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2012 May 1;78(18):1376-82. doi: 10.1212/WNL.0b013e318253d5b3. Epub 2012 Apr 4.

16.

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.

17.

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.

18.

Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction.

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

Front Aging Neurosci. 2014 Oct 17;6:260. doi: 10.3389/fnagi.2014.00260. eCollection 2014.

19.

Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects.

Trojanowski JQ, Vandeerstichele H, Korecka M, Clark CM, Aisen PS, Petersen RC, Blennow K, Soares H, Simon A, Lewczuk P, Dean R, Siemers E, Potter WZ, Weiner MW, Jack CR Jr, Jagust W, Toga AW, Lee VM, Shaw LM; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2010 May;6(3):230-8. doi: 10.1016/j.jalz.2010.03.008. Review.

20.

Transforming cerebrospinal fluid Aβ42 measures into calculated Pittsburgh Compound B units of brain Aβ amyloid.

Weigand SD, Vemuri P, Wiste HJ, Senjem ML, Pankratz VS, Aisen PS, Weiner MW, Petersen RC, Shaw LM, Trojanowski JQ, Knopman DS, Jack CR Jr; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2011 Mar;7(2):133-41. doi: 10.1016/j.jalz.2010.08.230. Epub 2011 Feb 1.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk