Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning and Random Forest-Reference-Cited by-同舟云学术

Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning and Random Forest

Published:2011 Issue: Volume: Page:59-67
ISSN:0302-9743
Container-title:New Challenges on Bioinspired Applications
language:
Short-container-title:

Author:

Chaves R.,Ramírez J.,Górriz J. M.,Illán I.,Segovia F.,Olivares A.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-21326-7_7

Reference14 articles.

1. Evans, D., Funkenstein, H., Albert, M., Scherr, P., Cook, N., Chown, M., Hebert, L., Hennekens, C., Taylor, J.: Prevalence of Alzheimer’s disease in a Community Population of older persons. Journal of the American Medical Association 262(18), 2551 (1989)

2. Petrella, J.R., Coleman, R.E., Doraiswamy, P.M.: Neuroimaging and Early Diagnosis of Alzheimer’s Disease: A Look to the Future. Radiology 226, 315–336 (2003)

3. English, R.J., Childs, J.: SPECT: Single-Photon Emission Computed Tomography: A Primer. Society of Nuclear Medicine (1996)

4. Fung, G., Stoeckel, J.: SVM feature selection for classification of SPECT images of Alzheimer’s disease using spatial information. Knowledge and Information Systems 11(2), 243–258 (2007)

5. Weinberger, K.Q., Blitzer, J., Saul, L.K.: Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research 10, 207–244 (2009)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases;Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging;2017

2. Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease;Expert Systems with Applications;2013-06