Hui Li

发表

Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2010, Digital Mammography / IWDM.

Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2018, Medical Imaging.

Performance of CADx on a Large Clinical Database of FFDM Images

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture

Maryellen L. Giger, Hui Li, Michael R. Chinander, 2004, CARS.

Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma

Maryellen L. Giger, Hui Li, Li Lan, 2018, Other Conferences.

Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2019, Medical Imaging.

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images

Robert M. Nishikawa, Maryellen L. Giger, Kenji Suzuki, 2006, Digital Mammography / IWDM.

An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records

Wei Guo, Lanju Kong, Hui Li, 2019, IEEE Access.

Power spectral analysis of mammographic parenchymal patterns

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2006, SPIE Medical Imaging.

Correlative feature analysis of FFDM images

Maryellen L. Giger, Hui Li, Yading Yuan, 2008, SPIE Medical Imaging.

Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2004, CARS.

Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2016, SPIE Medical Imaging.

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification

Maryellen L. Giger, Karen Drukker, Hui Li, 2010, Digital Mammography / IWDM.

Effect of variable gain on computerized texture analysis on digitalized mammograms

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2010, Medical Imaging.

PROGRESS IN BREAST CADx

Maryellen L. Giger, Karen Drukker, Hui Li, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Computerized analysis of mammographic parenchymal patterns using fractal analysis

Hui Li, Olufunmilayo I. Olopade, Li Lan, 2003, SPIE Medical Imaging.

Temporal assessment of radiomic features on clinical mammography in a high-risk population

Maryellen L. Giger, Hui Li, Li Lan, 2018, Medical Imaging.

Computerized breast parenchymal analysis on DCE-MRI

Maryellen L. Giger, Hui Li, Li Lan, 2009, Medical Imaging.

Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes

Maryellen L. Giger, Hiroyuki Abe, Hui Li, 2014, Digital Mammography / IWDM.

Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2012, Journal of Digital Imaging.

Comparison of approaches for risk-modulated CAD

Hui Li, Li Lan, Maryellen Lissak Giger, 2003, SPIE Medical Imaging.

Breast cancer classification with mammography and DCE-MRI

Maryellen L. Giger, Hui Li, Yading Yuan, 2009, Medical Imaging.

Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI

Maryellen L. Giger, Karen Drukker, Hui Li, 2009, Medical Imaging.

Variations in algorithm implementation among quantitative texture analysis software packages

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2018, Medical Imaging.

Correlative Analysis of FFDM and DCE-MRI for Improved Breast CADx

Maryellen L. Giger, Hui Li, Charlene A. Sennett, 2012 .

Automatic selection of region of interest for radiographic texture analysis

Maryellen L. Giger, Hui Li, Li Lan, 2007, SPIE Medical Imaging.

Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs

Maryellen L. Giger, Hui Li, Li Lan, 2018, Medical Imaging.

A two-stage method for lesion segmentation on digital mammograms

Maryellen L. Giger, Kenji Suzuki, Hui Li, 2006, SPIE Medical Imaging.

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2008, Journal of Digital Imaging.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.