Jeff Wang

发表

Single x-ray absorptiometry method for the quantitative mammographic measure of fibroglandular tissue volume.

S. Cummings, K. Kerlikowske, J. Shepherd, 2009, Medical physics.

Agreement of Mammographic Measures of Volumetric Breast Density to MRI

Karla Kerlikowske, Serghei Malkov, Bo Fan, 2013, PloS one.

Volume of Mammographic Density and Risk of Breast Cancer

Karla Kerlikowske, Serghei Malkov, Bo Fan, 2011, Cancer Epidemiology, Biomarkers & Prevention.

Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study

Hiroko Yamashita, Ruijiang Li, Hiroki Shirato, 2015, PloS one.

Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

Andrew H. Beck, Gretchen L. Gierach, Jason M. Johnson, 2019, npj Breast Cancer.

Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI.

H. Shirato, F. Kato, M. Hosoda, 2016, European journal of radiology.

Morphological features compared among invasive breast cancer subtypes using 3-tesla MRI

H. Shirato, F. Kato, M. Hosoda, 2014 .

Relationship of Serum Progesterone and Progesterone Metabolites with Mammographic Breast Density and Terminal Ductal Lobular Unit Involution among Women Undergoing Diagnostic Breast Biopsy

Gretchen L. Gierach, M. Sherman, L. Brinton, 2020, Journal of clinical medicine.

Running title: Dense breast volume and risk

S. Cummings, E. Vittinghoff, K. Kerlikowske, 2011 .

Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer

Hiroko Yamashita, Hiroki Shirato, Ruijiang Li, 2017, Journal of Digital Imaging.

Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation

Ruijiang Li, Hiroki Shirato, Yi Cui, 2017, Journal of magnetic resonance imaging : JMRI.

Circulating insulin-like growth factor-I, insulin-like growth factor binding protein-3 and terminal duct lobular unit involution of the breast: a cross-sectional study of women with benign breast disease

Gretchen L. Gierach, M. Sherman, L. Brinton, 2016, Breast Cancer Research.

Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

Andrew H. Beck, Gretchen L. Gierach, Jason M. Johnson, 2019, npj Breast Cancer.

Relationship of circulating insulin-like growth factor-I and binding proteins 1–7 with mammographic density among women undergoing image-guided diagnostic breast biopsy

Gretchen L. Gierach, M. Sherman, L. Brinton, 2019, Breast Cancer Research.

Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images.

Lei Xing, Ruijiang Li, Hiroki Shirato, 2016, Radiology.

Comparison of Mammographic Density Assessed as Volumes and Areas among Women Undergoing Diagnostic Image-Guided Breast Biopsy

Donald L Weaver, Bo Fan, Amir Pasha Mahmoudzadeh, 2014, Cancer Epidemiology, Biomarkers & Prevention.

Relationship of Serum Estrogens and Metabolites with Area and Volume Mammographic Densities

Gretchen L. Gierach, T. Veenstra, M. Sherman, 2015, Hormones and Cancer.

Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities

Gretchen L. Gierach, Jason M. Johnson, M. Sherman, 2015, Cancer Prevention Research.

Fast spot-scanning proton dose calculation method with uncertainty quantification using a three-dimensional convolutional neural network

Shinichi Shimizu, Hiroki Shirato, Lei Xing, 2020, Physics in medicine and biology.

Relationships between mammographic density, tissue microvessel density, and breast biopsy diagnosis

Gretchen L. Gierach, Jason M. Johnson, P. Lenz, 2016, Breast Cancer Research.

Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy

Gretchen L. Gierach, Jason M. Johnson, M. Sherman, 2019, Cancer Prevention Research.

Relationships between mammographic density, tissue microvessel density, and breast biopsy diagnosis

Gretchen L. Gierach, Jason M. Johnson, P. Lenz, 2016, Breast Cancer Research.

Volume of Mammographic Density and Risk of Breast Cancer

S. Cummings, E. Vittinghoff, K. Kerlikowske, 2011, Cancer Epidemiology, Biomarkers & Prevention.