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

January 1, 2022·
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
Huili Sun
,
Jean Ye
,
Qi Cheng
,
Marisa N. Spann
,
Max Rolison
,
Stephanie Noble
,
Margaret L. Westwater
· 0 min read
publication
Huili Sun
Authors
Huili Sun (she/her)
Postdoctoral Researcher
I am a Postdoctoral Researcher in the Department of Bioengineering at the University of Pennsylvania, working with Dr. Dani Bassett. My research uses computational and network-based approaches to understand how the human brain develops during the earliest stages of life — from the fetal period through infancy and toddlerhood.