Imaging‐based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment-Reference-Cited by-同舟云学术

Imaging‐based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment

Published:2015-06-17 Issue:12 Volume:11 Page:1489-1499
ISSN:1552-5260
Container-title:Alzheimer's & Dementia
language:en
Short-container-title:Alzheimer's & Dementia

Author:

Ithapu Vamsi K.¹²,Singh Vikas¹²³,Okonkwo Ozioma C.²⁴,Chappell Richard J.³,Dowling N. Maritza²³,Johnson Sterling C.²⁴⁵,

Affiliation:

1. Department of Computer Sciences University of Wisconsin Madison Madison WI USA

2. Wisconsin Alzheimer's Disease Research Center University of Wisconsin Madison Madison WI USA

3. Department of Biostatistics and Medical Informatics University of Wisconsin Madison Madison WI USA

4. Department of Medicine University of Wisconsin Madison Madison WI USA

5. William S. Middleton Memorial Veterans Hospital University of Wisconsin Madison Madison WI USA

Funder

NIH

UW ICTR

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Clinical Neurology,Developmental Neuroscience,Health Policy,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1016/j.jalz.2015.01.010

Reference28 articles.

1. Estimating sample sizes for predementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative

2. Choosing Alzheimer's disease prevention clinical trial populations

3. Clinical trials in mild cognitive impairment: lessons for the future

4. Mild Cognitive Impairment: Current Research and Clinical Implications

5. Clinical trial methodologies for disease-modifying therapeutic approaches

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