Hailong Li

Cincinnati Children's Hospital Medical Center

Also affiliated with University of South Carolina, Nankai University, Sichuan University, West China Hospital of Sichuan University, Predict (France), People's Hospital of Xinjiang Uygur Autonomous Region, Perinatal Institute, University of Cincinnati Medical Center

MedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile

0.765Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01253-0

Top 38%

0.499DataRank

Top 38%13 citations

Hailong Li, Redha Ali, Krishna Shanbhogue, William R. Masch, Anum Aslam +5 more

Papers

Driven by 34 papers — median percentile 52. Top paper: “Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data”.

Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01253-0

Top 38%

0.499DataRank

Top 38%13 citations

Hailong Li, Redha Ali, Krishna Shanbhogue, William R. Masch, Anum Aslam +5 more

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

Journal of Computer Assisted Tomography(2024)10.1097/rct.0000000000001648

Top 59%

0.266DataRank

Top 59%4 citations

Vinicius Vieira Alves, Amol Pednekar, Mary Kate Manhard, Joshua S. Greer, Andrew T. Trout +3 more

Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age Magnetic Resonance Imaging in Infants Born Very Preterm

The Journal of Pediatrics(2020)10.1016/j.jpeds.2020.11.058

N/A

0DataRank · unranked

44 citations

Puneet Sharma, Lili He, Hailong Li, Mekibib Altaye, Venkata Sita Priyanka Illapani +33 more

Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00858

N/A

0DataRank · unranked

31 citations

Hailong Li, Jinghua Wang, Weihong Yuan, Mekbib Altaye, Nehal A. Parikh +2 more

Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age MRI in Infants Born Very Preterm

medRxiv(2020)10.1101/2020.08.01.20166488

N/A

0DataRank · unranked

2 citations

Puneet Sharma, Lili He, Hailong Li, Mekibib Altaye, Venkata Sita Priyanka Illapani +2 more

Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants

Frontiers in Neuroscience(2021)10.3389/fnins.2021.753033

N/A

0DataRank · unranked

47 citations

Hailong Li, Ming Chen, Jinghua Wang, Mekibib Altaye, Jonathan R. Dillman +2 more

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

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200166

N/A

0DataRank · unranked

13 citations

Ming Chen, Jinghua Wang, Venkata Sita Priyanka Illapani, Nehal A. Parikh, Lili He +1 more

Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency

NeuroImage Clinical(2021)10.1016/j.nicl.2021.102739

N/A

0DataRank · unranked

13 citations

Venkata Sita Priyanka Illapani, Hailong Li, Lili He, Weihong Yuan, Nehal A. Parikh +1 more

Neurodevelopmental processes in the prefrontal cortex derailed by chronic HIV-1 viral protein exposure

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.02.458765

N/A

0DataRank · unranked

2 citations

Hailong Li, Rosemarie M. Booze, Charles F. Mactutus, Kristen A. McLaurin

SYNAPTIC DYSFUNCTION UNDERLIES ALTERATIONS IN THE INITIATION OF GOAL-DIRECTED BEHAVIORS: IMPLICATIONS FOR HIV-1 ASSOCIATED APATHY

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.02.458761

N/A

0DataRank · unranked

0 citations

Michael N. Cranston, Hailong Li, Charles F. Mactutus, Steven B. Harrod, Rosemarie M. Booze +1 more

Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks

Diagnostics(2022)10.3390/diagnostics12040816

N/A

0DataRank · unranked

37 citations

Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, Lili He, Huixian Zhang

ConCeptCNN: A novel multi‐filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome

Medical Physics(2022)10.1002/mp.15545

N/A

0DataRank · unranked

31 citations

Hailong Li, Howard Fan, Jonathan R. Dillman, Hui Wang, Mekibib Altaye +4 more

Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients

Frontiers in Molecular Biosciences(2022)10.3389/fmolb.2022.822810

N/A

0DataRank · unranked

25 citations

Naian Xiao, Hailong Li, Lili He, Qiyuan Li, Ting Wu +6 more

A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy

Frontiers in Neuroinformatics(2022)10.3389/fninf.2022.771965

N/A

0DataRank · unranked

7 citations

Xueping Peng, Ke Niu, Hailong Li, Lili He, Feng Yang +7 more

A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants

NeuroImage(2022)10.1016/j.neuroimage.2022.119484

N/A

0DataRank · unranked

7 citations

Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

Medical Image Analysis(2023)10.1016/j.media.2023.102828

N/A

0DataRank · unranked

58 citations

Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh +2 more

Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging

Diagnostics(2023)10.3390/diagnostics13091571

N/A

0DataRank · unranked

50 citations

Hailong Li, Junqi Wang, Lili He, Jinzhao Qian

Machine Learning Diagnosis of Small-Bowel Crohn Disease Using T2-Weighted MRI Radiomic and Clinical Data

American Journal of Roentgenology(2023)10.2214/ajr.23.29812

N/A

0DataRank · unranked

28 citations

Hailong Li, Alexander J. Towbin, Nadeen Abu Ata, Ethan A. Smith, Jean A. Tkach +4 more

A novel collaborative self-supervised learning method for radiomic data

NeuroImage(2023)10.1016/j.neuroimage.2023.120229

N/A

0DataRank · unranked

15 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

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

Diagnostics(2023)10.3390/diagnostics13081508

N/A

0DataRank · unranked

7 citations

Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A. Parikh, Lili He +1 more

A Novel Collaborative Self-Supervised Learning Method for Radiomic Data

arXiv (Cornell University)(2023)10.48550/arxiv.2302.09807

N/A

0DataRank · unranked

0 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment

arXiv (Cornell University)(2023)10.48550/arxiv.2312.15064

N/A

0DataRank · unranked

0 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil +3 more

Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01362-w

N/A

0DataRank · unranked

6 citations

Hailong Li, Redha Ali, Wei Jia, Wen‐Chi Pan, Scott B. Reeder +8 more

A systematic review of automated methods to perform white matter tract segmentation

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1376570

N/A

0DataRank · unranked

9 citations

Hailong Li, Nehal A. Parikh, Lili He, Ankita Joshi

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

NeuroImage(2024)10.1016/j.neuroimage.2024.120579

N/A

0DataRank · unranked

8 citations

Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman +3 more

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

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.102993

N/A

0DataRank · unranked

6 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil +3 more

Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years’ Corrected Age in Infants Born Very Preterm

The Journal of Pediatrics Clinical Practice(2024)10.1016/j.jpedcp.2024.200101

N/A

0DataRank · unranked

3 citations

Julia E. Kline, Mekibib Altaye, Beth M. Kline‐Fath, Nehal A. Parikh, Armin Allahverdy +35 more

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

Computer Methods and Programs in Biomedicine(2024)10.1016/j.cmpb.2024.108479

N/A

0DataRank · unranked

2 citations

Hailong Li, Kim M. Cecil, Mekibib Altaye, Nehal A. Parikh, Lili He +1 more

Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI

European Radiology(2025)10.1007/s00330-024-11312-3

N/A

0DataRank · unranked

8 citations

Hailong Li, Huixian Zhang, Wen‐Chi Pan, Scott B. Reeder, David Harris +9 more

Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) study

NeuroImage(2025)10.1016/j.neuroimage.2025.121600

N/A

0DataRank · unranked

2 citations

Yuwen Hung, Junqi Wang, Nicole Rudberg, Nehal A. Parikh, Lili He +1 more

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

IEEE Transactions on Neural Networks and Learning Systems(2025)10.1109/tnnls.2025.3568036

N/A

0DataRank · unranked

4 citations

Hailong Li, Nehal A. Parikh, Jonathan R. Dillman, Lili He, Zhixiu Lu

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants

Scientific Reports(2020)10.1038/s41598-020-71914-x

N/A

0DataRank · unranked

69 citations

Hailong Li, Jinghua Wang, Ming Chen, Elveda Gozdas, Jonathan R. Dillman +2 more

Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic Review

Artificial Intelligence and Applications(2025)10.47852/bonviewaia52026392

N/A

0DataRank · unranked

0 citations

Ankita Joshi, Hailong Li, Nehal A. Parikh, James F. Dillman, Lili He +1 more

Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm Infants

Pediatric Neurology(2020)10.1016/j.pediatrneurol.2020.01.011

N/A

0DataRank · unranked

13 citations

Lili He, Hailong Li, Venkata Sita Priyanka Illapani, Mark A. Klebanoff, Nehal A. Parikh

Hailong Li

Indexed papers

Top data-sharing exemplar

Papers