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IEEE Transactions on Neural Networks and Learning Systems|May 28, 2025
RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image PretrainingZhixiu Lu, Hailong Li, Nehal A Parikh, et al.
Neuroimage. Clinical|January 5, 2021
Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infantsJulia E Kline, Venkata Sita Priyanka Illapani, Lili He, et al.
Diagnostics (Basel, Switzerland)|May 16, 2023
A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm InfantsHailong Li, Zhiyuan Li, Kevin Du, et al.
Neuroimage|November 23, 2025
Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) studyHailong Li, Yuwen Hung, Junqi Wang, et al.
Artificial Intelligence and Applications (Commerce, Calif.)|April 23, 2026
Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic ReviewJinzhao Qian, Ankita Joshi, Hailong Li, et al.
Scientific Reports|December 25, 2019
Retinopathy of Prematurity and Bronchopulmonary Dysplasia are Independent Antecedents of Cortical Maturational Abnormalities in Very Preterm InfantsJulia E Kline, Venkata Sita Priyanka Illapani, Lili He, et al.
Pediatric Neurology|March 7, 2020
Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm InfantsNehal A Parikh, Lili He, Hailong Li, et al.
Computer Methods and Programs in Biomedicine|November 3, 2024
DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infantsJunqi Wang, Hailong Li, Kim M Cecil, et al.
Neuroimage. Clinical|June 8, 2018
Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network frameworkLili He, Hailong Li, Scott K Holland, et al.
Neuroimage|July 19, 2022
A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infantsZhiyuan Li, Hailong Li, Adebayo Braimah, et al.
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