Hui Li
Orcid: 0000-0003-3139-2898Affiliations:
- University of Chicago, Department of Radiology, IL, USA
According to our database1,
Hui Li
authored at least 42 papers
between 2003 and 2023.
Collaborative distances:
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on orcid.org
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Bibliography
2023
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Association between DCE MRI background parenchymal enhancement and mammographic texture features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method.
Proc. IEEE, 2020
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Temporal assessment of radiomic features on clinical mammography in a high-risk population.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Variations in algorithm implementation among quantitative texture analysis software packages.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2016
Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2014
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2012
Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets.
J. Digit. Imaging, 2012
2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Digital Mammography, 2010
Proceedings of the Digital Mammography, 2010
2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment.
J. Digit. Imaging, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis.
Proceedings of the Digital Mammography, 2008
Proceedings of the Digital Mammography, 2008
2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Proceedings of the Digital Mammography, 2006
2004
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003