Hailong Li

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Venues

Diagnostics (Basel, Switzerland)

Radiology. Artificial intelligence

Journal of computer assisted tomography

Cincinnati Children's Hospital Medical Center

University of Cincinnati (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Cincinnati Children's Hospital Medical Center Dec 10 2016

United States

Research Associate :: Neonatology and Pulmonary Biology

Cincinnati Children's Hospital Medical Center Mar 11 2013 - Dec 09 2016

United States

Research Fellow :: Division of Biomedical Informatics

Education History

University of Cincinnati Sep 10 2007 - Mar 01 2013

United States

PHD :: Computer Science

Publications

Hailong Li, Vinicius Vieira Alves, Amol Pednekar, Mary Kate Manhard, Joshua Greer, Andrew T Trout, Lili He, Jonathan R Dillman
Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features. Journal of computer assisted tomography (2024)
Hailong Li, Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A Parikh, Lili He
A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants. Diagnostics (Basel, Switzerland) 13 (8) (2023)
Hailong Li, Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A Parikh, Lili He
A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants. Diagnostics (Basel, Switzerland) 13 (8) (2023)
Jinzhao Qian, Hailong Li, Junqi Wang, Lili He
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Jinzhao Qian, Hailong Li, Junqi Wang, Lili He
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Hailong Li, Ming Chen, Jinghua Wang, Venkata Sita Priyanka Illapani, Nehal A Parikh, Lili He
Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants. Radiology. Artificial intelligence 3 (3) (2021)
Ming Chen, Hailong Li, Jinghua Wang, Jonathan R Dillman, Nehal A Parikh, Lili He
A Multichannel Deep Neural Network Model Analyzing Multiscale Functional Brain Connectome Data for Attention Deficit Hyperactivity Disorder Detection. Radiology. Artificial intelligence 2 (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hailong Li