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International Journal of Alzheimer’s Disease
Volume 2011, Article ID 914085, 8 pages
http://dx.doi.org/10.4061/2011/914085
Research Article

Morphological Factor Estimation via High-Dimensional Reduction: Prediction of MCI Conversion to Probable AD

1Départment de Radiologie, Faculté de Médecine, Université Laval, Québec, Canada G1K 7P4
2Centre de Recherche Université Laval Robert-Giffard, Québec, Canada G1J 2G3

Received 24 December 2010; Accepted 27 April 2011

Academic Editor: Katsuya Urakami

Copyright © 2011 Simon Duchesne and Abderazzak Mouiha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Thomas van Bruggen, Bram Stieltjes, Philipp A. Thomann, Peter Parzer, Hans-Peter Meinzer, and Klaus H. Fritzsche, “Do Alzheimer-specific microstructural changes in mild cognitive impairment predict conversion?,” Psychiatry Research: Neuroimaging, vol. 203, no. 2-3, pp. 184–193, 2012. View at Publisher · View at Google Scholar
  • Simon Duchesne, Fernando Valdivia, Abderazzak Mouiha, and Nicolas Robitaille, “Test-Retest Reliability of a New Medial Temporal Atrophy Morphological Metric,” International Journal of Alzheimer's Disease, vol. 2012, pp. 1–6, 2012. View at Publisher · View at Google Scholar
  • Bo Cheng, Daoqiang Zhang, Biao Jie, and Dinggang Shen, “Sparse multimodal manifold-regularized transfer learning for MCI conversion prediction,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8184, pp. 251–259, 2013. View at Publisher · View at Google Scholar
  • Simon Duchesne, Fernando Valdivia, Abderazzak Mouiha, and Nicolas Robitaille, “Single Timepoint High-Dimensional Morphometry in Alzheimer’s Disease: Group Statistics on Longitudinally Acquired Data,” Neurobiology of Aging, 2014. View at Publisher · View at Google Scholar
  • Simon Duchesne, Fernando Valdivia, Abderazzak Mouiha, and Nicolas Robitaille, “High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria,” International Journal of Alzheimer's Disease, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, and Dinggang Shen, “Domain Transfer Learning for MCI Conversion Prediction,” Ieee Transactions On Biomedical Engineering, vol. 62, no. 7, pp. 1805–1817, 2015. View at Publisher · View at Google Scholar
  • Bo Cheng, Mingxia Liu, Heung-Il Suk, Dinggang Shen, and Daoqiang Zhang, “Multimodal manifold-regularized transfer learning for MCI conversion prediction,” Brain Imaging And Behavior, vol. 9, no. 4, pp. 913–926, 2015. View at Publisher · View at Google Scholar
  • Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, and Daoqiang Zhang, “Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease,” Neuroinformatics, 2016. View at Publisher · View at Google Scholar
  • Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, and Dinggang Shen, “Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 1, pp. 238–249, 2017. View at Publisher · View at Google Scholar