-
Notifications
You must be signed in to change notification settings - Fork 0
/
credits.txt
11 lines (10 loc) · 1.16 KB
/
credits.txt
1
2
3
4
5
6
7
8
9
10
11
[1] Tustison, Nicholas J et al. “The ANTsX ecosystem for quantitative biological and medical imaging.” Scientific reports vol. 11,1 9068. 27 Apr. 2021, doi:10.1038/s41598-021-87564-6
[2] Reinhold, Jacob C., et al. "Evaluating the impact of intensity normalization on MR image synthesis." Medical Imaging 2019: Image Processing. Vol. 10949. SPIE, 2019.
[3] Isensee F, Schell M, Pflueger I, et al. Automated brain extraction of multisequence MRI using artificial neural networks. Hum Brain Mapp. 2019; 40: 4952–4964. https://doi.org/10.1002/hbm.24750
[4] https://github.com/LemuelPuglisi/turboprep
Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging
Initiative (ADNI) database (adni.loni.usc.edu). The ADNI was launched in 2003 as a public-private
partnership, led by Principal Investigator Michael W. Weiner, MD. The primary goal of ADNI has been to
test whether serial magnetic resonance imaging (MRI), positron emission tomography (PET), other
biological markers, and clinical and neuropsychological assessment can be combined to measure the
progression of mild cognitive impairment (MCI) and early Alzheimer’s disease (AD).