Hailong Li

Assistant Professor

Cincinnati Children's Hospital Medical Center

United States

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Hailong Li is an Assistant Professor at Cincinnati Children's Hospital Medical Center in the United States. His research focuses on advanced imaging techniques and machine learning applications in neurodevelopment, particularly in very preterm infants. Recent work includes the development of frameworks for identifying neurodevelopmental biomarkers and enhancing MRI image analysis through deep learning methodologies.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2021

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2021

Collaborators (3)

Jonathan Dillman

department of pediatrics university of cincinnati college of medicine cincinnati ohio usa

UNITED STATES

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Nehal Parikh

Professor of Pediatrics

Cincinnati Children's Hospital Medical Center

UNITED STATES

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Jing Xiang

Associate Professor

Cincinnati Children's Hospital Medical Center

UNITED STATES

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Hailong Li

Research Interests

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Articles (10)

RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language–Image Pretraining

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants

Impact of Emerging Deep Learning–Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants

Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging

Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants

Detecting High Frequency Oscillations for Stereoelectroencephalography in Epilepsy via Hypergraph Learning

Collaborators (3)

Jonathan Dillman

Nehal Parikh

Jing Xiang

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