Name
Affiliation
Papers
HUI LI
Univ Chicago, Chicago, IL 60637 USA
31
Collaborators
Citations 
PageRank 
62
45
15.48
Referers 
Referees 
References 
179
80
41
Search Limit
100179
Title
Citations
PageRank
Year
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method20.442020
Preliminary Radiomic Texture Analysis Of High-Channel Fluorescence Confocal Images Of Triple-Negative Breast Cancer Biopsies00.342020
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer.00.342019
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.00.342019
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment.00.342019
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis.00.342018
Variations in algorithm implementation among quantitative texture analysis software packages.00.342018
Temporal assessment of radiomic features on clinical mammography in a high-risk population.00.342018
Deep Learning In Computer-Aided Diagnosis Incorporating Mammographic Characteristics Of Both Tumor And Parenchyma Stroma00.342018
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs.00.342018
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes.00.342014
Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets.30.752012
Performance of triple-modality CADx on breast cancer diagnostic classification10.392010
Validation of mammographic texture analysis for assessment of breast cancer risk20.422010
Effect of variable gain on computerized texture analysis on digitalized mammograms00.342010
Computerized breast parenchymal analysis on DCE-MRI00.342009
Breast cancer classification with mammography and DCE-MRI00.342009
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI00.342009
Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.112.272008
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis10.382008
Performance of CADx on a Large Clinical Database of FFDM Images00.342008
Correlative feature analysis of FFDM images20.392008
PROGRESS IN BREAST CADx00.342007
Automatic selection of region of interest for radiographic texture analysis10.442007
A two-stage method for lesion segmentation on digital mammograms20.582006
Power spectral analysis of mammographic parenchymal patterns00.342006
Comparison of computerized image analyses for digitized screen-film mammograms and full-field digital mammography images20.482006
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.182.172004
Texture Analysis Of Peripheral Bone Densitometry Images To Aid The Assessment Of Risk For Fracture00.342004
Computerized analysis of mammographic parenchymal patterns using fractal analysis00.342003
Comparison of approaches for risk-modulated CAD00.342003