Hui Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Diffusion Weighted Imaging

Machine Learning

Magnetic Resonance

Top Venues

Journal of medical imaging (Bellingham, Wash.)

Radiology. Artificial intelligence

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

Publications

Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Hui Li, Kayla Robinson, Li Lan, Natalie Baughan, Chun-Wai Chan, Matthew Embury, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger
Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction. Cancers 15 (7) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Natalie Baughan, Hui Li, Li Lan, Matthew Embury, Isaiah Yim, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger
Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Hui Li, Kenny H Cha, Qiyuan Hu, Heather M Whitney, Jordan D Fuhrman, Maryellen L Giger
Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Matthew Sloan, Hui Li, Hernan A Lescay, Clark Judge, Li Lan, Parviz Hajiyev, Maryellen L Giger, Mohan S Gundeti
Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investigative and clinical urology 64 (6) (2023)
Hui Li, Heather M Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L Giger
Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Xavier M Keutgen, Hui Li, Kelvin Memeh, Julian Conn Busch, Jelani Williams, Li Lan, David Sarne, Brendan Finnerty, Peter Angelos, Thomas J Fahey, Maryellen L Giger
A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Multi-Stage Harmonization for Robust AI across Breast MR Databases. Cancers 13 (19) (2021)
Issam El Naqa, Hui Li, Jordan Fuhrman, Qiyuan Hu, Naveena Gorre, Weijie Chen, Maryellen L Giger
Lessons learned in transitioning to AI in the medical imaging of COVID-19. Journal of medical imaging (Bellingham, Wash.) 8 (Suppl 1) (2021)
Qiyuan Hu, Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI. Radiology. Artificial intelligence 3 (3) (2021)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Harmonization of radiomic features of breast lesions across international DCE-MRI datasets. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2020)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers 108 (1) (2019)
Hui Li, Kayla R Robinson, Li Lan, Deepa Sheth, Maryellen L Giger
Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology 291 (1) (2019)
Joseph J Foy, Kayla R Robinson, Hui Li, Maryellen L Giger, Hania A Al-Hallaq, Samuel G Armato
Variation in algorithm implementation across radiomics software. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Natalia Antropova, Benjamin Huynh, Hui Li, Maryellen L Giger
Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks. Journal of medical imaging (Bellingham, Wash.) 6 (1) (2018)