Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

@article{Cuingnet2011AutomaticCO,
  title={Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database},
  author={R{\'e}mi Cuingnet and Emilie Gerardin and J{\'e}r{\^o}me Tessieras and Guillaume Auzias and St{\'e}phane Leh{\'e}ricy and Marie Odile Habert and Marie Chupin and Habib Benali and Olivier Colliot},
  journal={NeuroImage},
  year={2011},
  volume={56},
  pages={766-781}
}
Recently, several high dimensional classification methods have been proposed to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls (CN) based on T1-weighted MRI. However, these methods were assessed on different populations, making it difficult to compare their performance. In this paper, we evaluated the performance of ten approaches (five voxel-based methods, three methods based on cortical thickness and two… CONTINUE READING
BETA

Citations

Publications citing this paper.
SHOWING 1-10 OF 346 CITATIONS, ESTIMATED 29% COVERAGE

FILTER CITATIONS BY YEAR

2011
2019

CITATION STATISTICS

  • 72 Highly Influenced Citations

  • Averaged 40 Citations per year over the last 3 years

  • 4% Increase in citations per year in 2018 over 2017

References

Publications referenced by this paper.
SHOWING 1-10 OF 96 REFERENCES

Automatic differentiation of anatomical patterns in Please cite this article as: Cuingnet, R., et al., Automatic classification of p of ten methods using the ADNI

  • C. D. Good, R. I. Scahill, +6 authors R. S. Frackowiak
  • 2002
Highly Influential
21 Excerpts

Similar Papers

Loading similar papers…