A photo of Lili He.

Assistant Professor, UC Department of Pediatrics


Biography & Affiliation

Research Interests

Machine learning; deep learning; medical image processing and analysis

Academic Affiliation

Assistant Professor, UC Department of Pediatrics


Imaging, Developmental Biology, Neonatology

Science Blog


BS: Electrical Engineering, Tsinghua University, Beijing, China, 1998.

MS: Computer Science, University of Missouri, Columbia, MO, 2003.

PhD: Computer Science and Engineering, University of Connecticut, Storrs, CT, 2008.

Post-Doc: Massachusetts General Hospital, Harvard Medical School, Boston, MA, 2010.


Neonatal Functional and Structural Connectivity Are Associated with Cerebral Palsy at Two Years of Age. Merhar, SL; Gozdas, E; Tkach, JA; Parikh, NA; Kline-Fath, BM; He, L; Yuan, W; Altaye, M; Leach, JL; Holland, SK. American Journal of Perinatology: neonatal and maternal-fetal medicine. 2020; 37:137-145.

Retinopathy of Prematurity and Bronchopulmonary Dysplasia are Independent Antecedents of Cortical Maturational Abnormalities in Very Preterm Infants. Kline, JE; Illapani, VS P; He, L; Altaye, M; Parikh, NA. Scientific Reports. 2019; 9.

Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data. He, L; Li, H; Dudley, JA; Maloney, TC; Brady, SL; Somasundaram, E; Trout, AT; Dillman, JR. American Journal of Roentgenology. 2019; 213:592-601.

Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks. Li, H; Parikh, NA; Wang, J; Merhar, S; Chen, M; Parikh, M; Holland, S; He, L. Frontiers in Neuroscience. 2019; 13.

Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data. Parikh, MN; Li, H; He, L. Frontiers in Computational Neuroscience. 2019; 13.

Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?. Gozdas, E; Parikh, NA; Merhar, SL; Tkach, JA; He, L; Holland, SK. Brain Structure and Function. 2018; 223:3665-3680.

Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI. He, L; Wang, J; Lu, Z; Kline-Fath, BM; Parikh, NA. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2018; 48:1139-1151.

A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes. Li, H; Parikh, NA; He, L. Frontiers in Neuroscience. 2018; 12.

Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework. He, L; Li, H; Holland, SK; Yuan, W; Altaye, M; Parikh, NA. NeuroImage-Clinical. 2018; 18:290-297.

Improving structural brain images acquired with the 3D FLASH sequence. Wang, J; He, L; Zheng, H; Lu, Z. Magnetic Resonance Imaging. 2017; 38:224-232.