Comparison of approaches for risk-modulated CAD. - Maryellen Lissak Giger; Li Lan; Zhimin Huo; Carl J. Vyborny; Hui Li 024 (Image Processing, 2003)

Computerized analysis of mammographic parenchymal patterns using fractal analysis. - Hui Li 024; Maryellen Lissak Giger; Zhimin Huo; Olufunmilayo I. Olopade; Michael R. Chinander; Li Lan; Ioana R. Bonta (Image Processing, 2003)

Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture. - Michael R. Chinander; Maryellen L. Giger; Vit Jaros; Tamara J. Vokes; Hui Li 024 (CARS, 2004)

Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Anna Margolis; Li Lan; Ioana Bonta (CARS, 2004)

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Kenji Suzuki 001; Andrew R. Jamieson; Laura Yarusso; Robert M. Nishikawa; Charlene A. Sennett (Digital Mammography / IWDM, 2006)

Power spectral analysis of mammographic parenchymal patterns. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade (Image Processing, 2006)

A two-stage method for lesion segmentation on digital mammograms. - Yading Yuan; Maryellen L. Giger; Kenji Suzuki 001; Hui Li 024; Andrew R. Jamieson (Image Processing, 2006)

Progress in Breast Cadx. - Maryellen L. Giger; Yading Yuan; Hui Li 024; Karen Drukker; Weijie Chen 007; Li Lan; Karla Horsch (ISBI, 2007)

Automatic selection of region of interest for radiographic texture analysis. - Li Lan; Maryellen L. Giger; Joel R. Wilkie; Tamara J. Vokes; Weijie Chen 007; Hui Li 024; Tracy Lyons; Michael R. Chinander; Ann Pham (Computer-Aided Diagnosis, 2007)

Performance of CADx on a Large Clinical Database of FFDM Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Correlative feature analysis of FFDM images. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2008)

Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Michael R. Chinander (J. Digit. Imaging, 2008)

Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. - Neha Bhooshan; Maryellen L. Giger; Darrin C. Edwards; Karen Drukker; Sanaz Jansen; Hui Li 024; Li Lan; Gillian Newstead (Computer-Aided Diagnosis, 2009)

Computerized breast parenchymal analysis on DCE-MRI. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Sanaz A. Jansen; Li Lan; Neha Bhooshan; Gillian M. Newstead (Computer-Aided Diagnosis, 2009)

Breast cancer classification with mammography and DCE-MRI. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2009)

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. - Neha Bhooshan; Maryellen L. Giger; Karen Drukker; Yading Yuan; Hui Li 024; Stephanie McCann; Gillian Newstead; Charlene A. Sennett (Digital Mammography / IWDM, 2010)

Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Li Lan (Digital Mammography / IWDM, 2010)

Effect of variable gain on computerized texture analysis on digitalized mammograms. - Hui Li 024; Maryellen L. Giger; Li Lan; Yading Yuan; Neha Bhooshan; Olufunmilayo I. Olopade (Computer-Aided Diagnosis, 2010)

Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets. - Hui Li 024; Maryellen L. Giger; Li Lan; Jeremy Bancroft Brown; Aoife MacMahon; Mary Mussman; Olufunmilayo I. Olopade; Charlene A. Sennett (J. Digit. Imaging, 2012)

Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes. - Maryellen L. Giger; Hui Li 024; Li Lan; Hiroyuki Abe; Gillian Newstead (Digital Mammography / IWDM, 2014)

Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations. - Kayla R. Mendel; Hui Li 024; Maryellen L. Giger (Computer-Aided Diagnosis, 2016)

Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. - Hui Li 024; Deepa Sheth; Kayla R. Mendel; Li Lan; Maryellen L. Giger (IWBI, 2018)

Variations in algorithm implementation among quantitative texture analysis software packages. - Joseph J. Foy; Prerana Mitta; Lauren R. Nowosatka; Kayla R. Mendel; Hui Li 024; Maryellen L. Giger; Hania A. Al-Hallaq; Samuel G. Armato III (Computer-Aided Diagnosis, 2018)

Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. - Hui Li 024; Kayla R. Mendel; John H. Lee; Li Lan; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Temporal assessment of radiomic features on clinical mammography in a high-risk population. - Kayla R. Mendel; Hui Li 024; Li Lan; Chun-Wai Chan; Lauren M. King; Nabihah Tayob; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. - Kayla R. Mendel; Hui Li 024; Deepa Sheth; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer. - Rachel Anderson; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment. - Kayla R. Mendel; Hui Li 024; Nabihah Tayob; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 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. - Heather M. Whitney; Yu Ji; Hui Li 024; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. - Madeleine S. Durkee; Bradie M. Ferguson; Rebecca Abraham; Li Lan; Hui Li 024; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2020)

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. - Heather M. Whitney; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Proc. IEEE, 2020)

Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. - Paul Amstutz; Karen Drukker; Hui Li 024; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney (Computer-Aided Diagnosis, 2021)

Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity. - Natalie M. Baughan; Hui Li 024; Li Lan; Chun-Wai Chan; Matthew Embury; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. - Jordan D. Fuhrman; Linnea Kremer; Yeqing Zhu; Rowena Yip; Feng Li 018; Li Lan; Hui Li 024; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease. - Bradie M. Ferguson; Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Hui Li 024; Li Lan; Julian Bertini; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2021)

Association between DCE MRI background parenchymal enhancement and mammographic texture features. - Natalie M. Baughan; Lindsay Douglas; Maya Ballard; Esther Seoyeon Lee; Alexandra Edwards; Li Lan; Hui Li 024; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

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 024; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound. - J. L. Cozzi; Hui Li 024; Julian Conn Busch; J. Williams; Li Lan; Xavier M. Keutgen; Maryellen L. Giger (Computer-Aided Diagnosis, 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. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. - Karen Drukker; Hui Li 024; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. - Heather M. Whitney; Hui Li 024; Karen Drukker; Michael Reeve; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. - Joseph L. Cozzi; Hui Li 024; Jordan D. Fuhrman; Li Lan; Jelani Williams; Brendan Finnerty; Thomas J. Fahey; Abhinay Tumati; Joshua Genender; Xavier M. Keutgen; Maryellen L. Giger (Int. J. Comput. Assist. Radiol. Surg., 2025)

AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs. - Heather M. Whitney; Hui Li 024; Karen Drukker; Elbert Huang; Maryellen L. Giger (CoRR, 2025)