Journal article
Cognitive neurodynamics, vol. 20, Springer, 2026, p. 51
APA
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Moallemian, S., Saghafi, A., Deshpande, R., Perez, J. M., Budak, M., Fausto, B. A., … Gluck, M. A. (2026). Machine learning for missing data imputation in Alzheimer’s research: predicting medial temporal lobe dynamic flexibility. Cognitive Neurodynamics, 20, 51.
Chicago/Turabian
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Moallemian, Soodeh, Abolfazl Saghafi, Rutvik Deshpande, Jose M Perez, Miray Budak, Bernadette A Fausto, Fanny M Elahi, and Mark A Gluck. “Machine Learning for Missing Data Imputation in Alzheimer’s Research: Predicting Medial Temporal Lobe Dynamic Flexibility.” Cognitive neurodynamics 20 (2026): 51.
MLA
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Moallemian, Soodeh, et al. “Machine Learning for Missing Data Imputation in Alzheimer’s Research: Predicting Medial Temporal Lobe Dynamic Flexibility.” Cognitive Neurodynamics, vol. 20, Springer, 2026, p. 51.
BibTeX Click to copy
@article{moallemian2026a,
title = {Machine learning for missing data imputation in Alzheimer’s research: predicting medial temporal lobe dynamic flexibility},
year = {2026},
journal = {Cognitive neurodynamics},
pages = {51},
publisher = {Springer},
volume = {20},
author = {Moallemian, Soodeh and Saghafi, Abolfazl and Deshpande, Rutvik and Perez, Jose M and Budak, Miray and Fausto, Bernadette A and Elahi, Fanny M and Gluck, Mark A}
}