Hui Li

Hui Li

University of Chicago

H-index: 38

North America-United States

About Hui Li

Hui Li, With an exceptional h-index of 38 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Artificial Intelligence, Machine Learning, Quantitative Image Analysis, Radiomics, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound

MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography

Differences in molecular subtype reference standards impact AI-based breast cancer classification with dynamic contrast-enhanced MRI

Hui Li Information

University

Position

___

Citations(all)

5550

Citations(since 2020)

3278

Cited By

3640

hIndex(all)

38

hIndex(since 2020)

29

i10Index(all)

59

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Hui Li Skills & Research Interests

Artificial Intelligence

Machine Learning

Quantitative Image Analysis

Radiomics

Deep Learning

Top articles of Hui Li

Title

Journal

Author(s)

Publication Date

Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data

Arden Frantzen

Heather M Whitney

Hui Li

Karen Drukker

Alexandra Edwards

...

2024/4/3

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

Cancers

Hui Li

Kayla Robinson

Li Lan

Natalie Baughan

Chun-Wai Chan

...

2023/4/4

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction

Karen Drukker

Hui Li

Maryellen L Giger

2023/4/3

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction

Heather M Whitney

Hui Li

Karen Drukker

Michael Reeve

Maryellen L Giger

2023/4/3

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound

Investigative and Clinical Urology

Matthew Sloan

Hui Li

Hernan A Lescay

Clark Judge

Li Lan

...

2023/11

MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models

Physics in Medicine & Biology

Naveena Gorre

Eduardo Carranza

Jordan Fuhrman

Hui Li

Ravi K Madduri

...

2023/3/23

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography

Journal of Medical Imaging

Hui Li

Karen Drukker

Qiyuan Hu

Heather M Whitney

Jordan D Fuhrman

...

2023/8

Differences in molecular subtype reference standards impact AI-based breast cancer classification with dynamic contrast-enhanced MRI

Radiology

Yu Ji

Heather M Whitney

Hui Li

Peifang Liu

Maryellen L Giger

...

2023/1/3

Role of machine learning in differentiating benign from malignant indeterminate thyroid nodules: A literature review

Julian M Conn Busch

Joseph L Cozzi

Hui Li

Li Lan

Maryellen L Giger

...

2023/6/1

A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features

Journal of Medical Imaging

Xavier M Keutgen

Hui Li

Kelvin Memeh

Julian Conn Busch

Jelani Williams

...

2022/5/1

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

Journal of Medical Imaging

Hui Li

Heather M Whitney

Yu Ji

Alexandra Edwards

John Papaioannou

...

2022/5/1

Association between DCE MRI background parenchymal enhancement and mammographic texture features

Natalie Baughan

Lindsay Douglas

Maya Ballard

Esther Seoyeon Lee

Alexandra Edwards

...

2022/4/4

Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers

Heather M Whitney

Yu Ji

Hui Li

Peifang Liu

Maryellen L Giger

2022/4/4

A review of explainable and interpretable AI with applications in COVID‐19 imaging

Jordan D Fuhrman

Naveena Gorre

Qiyuan Hu

Hui Li

Issam El Naqa

...

2022/1

MP17-04 PILOT STUDY OF MACHINE LEARNING IN THE TASK OF DISTINGUISHING HIGH AND LOW GRADE HYDRONEPHROSIS IN CHILDREN ON ULTRASOUND

The Journal of Urology

Matthew Sloan

Clark Judge

Hui Li

Li Lan

Mason Vierra

...

2022/5

Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease

Bradie Ferguson

Madeleine S Durkee

Rebecca Abraham

Junting Ai

Hui Li

...

2021/2/15

Multi-stage harmonization for robust AI across breast MR databases

Cancers

Heather M Whitney

Hui Li

Yu Ji

Peifang Liu

Maryellen L Giger

2021/1

Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions

Paul Amstutz

Karen Drukker

Hui Li

Hiroyuki Abe

Maryellen L Giger

...

2021/2/15

Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment

Journal of Medical Imaging

Karen Drukker

Despina Kontos

Hui Li

2021/5

The Journal of Medical Imaging would like to sincerely thank the following individuals who served as Associate Editors in 2020. The success of our publication hinges on the …

Journal of Medical Imaging

Katherine P Andriole

Susan M Astley

Stephen Aylward

François O Bochud

Jovan G Brankov

...

2021/2

See List of Professors in Hui Li University(University of Chicago)

Co-Authors

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