Hui Li
Cytowane przez
Cytowane przez
Digital mammographic tumor classification using transfer learning from deep convolutional neural networks
BQ Huynh, H Li, ML Giger
Journal of Medical Imaging 3 (3), 034501, 2016
Volumetric texture analysis of breast lesions on contrast‐enhanced magnetic resonance images
W Chen, ML Giger, H Li, U Bick, GM Newstead
Magnetic Resonance in Medicine: An Official Journal of the International …, 2007
MR imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of MammaPrint, Oncotype DX, and PAM50 gene assays
H Li, Y Zhu, ES Burnside, K Drukker, KA Hoadley, C Fan, SD Conzen, ...
Radiology 281 (2), 382-391, 2016
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
H Li, Y Zhu, ES Burnside, E Huang, K Drukker, KA Hoadley, C Fan, ...
NPJ breast cancer 2 (1), 1-10, 2016
Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers
N Bhooshan, ML Giger, SA Jansen, H Li, L Lan, GM Newstead
Radiology 254 (3), 680-690, 2010
Using selective withdrawal to coat microparticles
I Cohen, H Li, JL Hougland, M Mrksich, SR Nagel
Science 292 (5515), 265-267, 2001
Catalytic asymmetric dihydroxylation by gold colloids functionalized with self-assembled monolayers
H Li, YY Luk, M Mrksich
Langmuir 15 (15), 4957-4959, 1999
A dual‐stage method for lesion segmentation on digital mammograms
Y Yuan, ML Giger, H Li, K Suzuki, C Sennett
Medical physics 34 (11), 4180-4193, 2007
Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and‐SNE
AR Jamieson, ML Giger, K Drukker, H Li, Y Yuan, N Bhooshan
Medical physics 37 (1), 339-351, 2010
Computerized Texture Analysis of Mammographic Parenchymal Patterns of Digitized Mammograms1
H Li, ML Giger, OI Olopade, A Margolis, L Lan, MR Chinander
Academic Radiology 12 (7), 863-873, 2005
Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location
H Li, ML Giger, Z Huo, OI Olopade, L Lan, BL Weber, I Bonta
Medical Physics 31 (3), 549-555, 2004
Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma
Y Zhu, H Li, W Guo, K Drukker, L Lan, ML Giger, Y Ji
Scientific reports 5 (1), 1-10, 2015
Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment
H Li, ML Giger, OI Olopade, L Lan
Academic radiology 14 (5), 513-521, 2007
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
W Guo, H Li, Y Zhu, L Lan, S Yang, K Drukker, EA Morris, ES Burnside, ...
Journal of Medical Imaging 2 (4), 041007, 2015
Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI
Y Yuan, ML Giger, H Li, N Bhooshan, CA Sennett
Academic radiology 17 (9), 1158-1167, 2010
Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment
H Li, ML Giger, OI Olopade, MR Chinander
Journal of digital imaging 21 (2), 145-152, 2008
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
ES Burnside, K Drukker, H Li, E Bonaccio, M Zuley, M Ganott, JM Net, ...
Cancer 122 (5), 748-757, 2016
Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms
H Li, ML Giger, BQ Huynh, NO Antropova
Journal of Medical Imaging 4 (4), 041304, 2017
Method, system, software and medium for advanced intelligent image analysis and display of medical images and information
ML Giger, R Tomek, JB Brown, AR Jamieson, L Lan, MR Chinander, ...
US Patent 9,208,556, 2015
Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study
GL Gierach, H Li, JT Loud, MH Greene, CK Chow, L Lan, SA Prindiville, ...
Breast Cancer Research 16 (4), 1-16, 2014
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