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Scientific Reports|September 16, 2020
A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infantsLili He, Hailong Li, Jinghua Wang, et al.
Pediatric Radiology|September 21, 2022
A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome dataRedha Ali, Hailong Li, Jonathan R Dillman, et al.
Frontiers in Neuroscience|October 22, 2021
Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm InfantsLili He, Hailong Li, Ming Chen, et al.
Medical Image Analysis|May 2, 2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysisJunqi Wang, Hailong Li, Gang Qu, et al.
Archives of Disease in Childhood. Fetal and Neonatal Edition|November 10, 2019
Early cortical maturation predicts neurodevelopment in very preterm infantsJulia E Kline, Venkata Sita Priyanka Illapani, Lili He, et al.
Frontiers in Neuroscience|July 6, 2019
Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural NetworksHailong Li, Nehal A Parikh, Jinghua Wang, et al.
The Journal of Pediatrics|March 10, 2020
Objectively Diagnosed Diffuse White Matter Abnormality at Term Is an Independent Predictor of Cognitive and Language Outcomes in Infants Born Very PretermNehal A Parikh, Lili He, Venkata Sita Priyanka Illapani, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Structural and functional connectivity in infancy relate to communication skills at age 2 in children born very pretermJennifer Vannest, Mekibib Altaye, Junqi Wang, et al.
Pediatric Neurology|October 22, 2013
Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm infantsNehal A Parikh, Lili He, Eliana Bonfante-Mejia, et al.
American Journal of Obstetrics & Gynecology MFM|January 2, 2023
Prenatal tobacco smoke exposure and risk of brain abnormalities on magnetic resonance imaging at term in infants born very pretermE Melinda Mahabee-Gittens, Beth M Kline-Fath, Nusrat Harun, et al.
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