Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer

Scheinost, D., Pollatou, A., Dufford, A. J., Jiang, R., Farruggia, M. C., Rosenblatt, M., Peterson, H., Rodriguez, R. X., Dadashkarimi, J., Liang, Q., Dai, W., Foster, M. L., Camp, C. C., Tejavibulya, L., Adkinson, B. D., Sun, H., Ye, J., Cheng, Q., Spann, M. N., … Westwater, M. L. (2023). Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry, 93(10), 893–904. https://doi.org/10.1016/j.biopsych.2022.10.014
Authors:
Dustin Scheinost
Angeliki Pollatou
Alexander J Dufford
Rongtao Jiang
Michael C Farruggia
Matthew Rosenblatt
Hannah Peterson
Raimundo X Rodriguez
Javid Dadashkarimi
Qinghao Liang
Wei Dai
Maya L Foster
Chris C Camp
Link Tejavibulya
Brendan D Adkinson
Huili Sun
Jean Ye
Qi Cheng
Marisa N Spann
Max Rolison
Stephanie Noble
Margaret L Westwater
Affiliated Authors:
Angeliki Pollatou
Marisa N Spann
Subjects:
Author Keywords:
deep learning
electroencephalogy
functional magnetic resonance imaging
functional near-infrared spectroscopy
magnetoencephalography
neonates
Publication Type:
Article
Unique ID:
10.1016/j.biopsych.2022.10.014
PMID:
Publication Date:
Data Source:
PubMed

Record Created: