Dual-Energy X-Ray Absorptiometry Method Using a Full Field Digital Mammography System. - Aurelie Laidevant; Serghei Malkov; Alfred Au; John Shepherd 002 (Digital Mammography / IWDM, 2008)

Improvements to Single Energy Absorptiometry Method for Digital Mammography to Quantify Breast Tissue Density. - Serghei Malkov; Jeff Wang; John Shepherd 002 (Digital Mammography / IWDM, 2008)

Cross-Calibration and Longitudinal Quality Control of Hologic Selenia Full-Field Digital Mammography Systems for Volumetric Breast Density Measurements. - Jeff Wang; Serghei Malkov; Bo Fan 001; John Shepherd 002 (Digital Mammography / IWDM, 2008)

Comparison of Subregional Breast Density with Whole Breast Density. - Serghei Malkov; Lin Ma; Karla Kerlikowske; Jeff Wang; Steve Cummings; John Shepherd 002 (Digital Mammography / IWDM, 2010)

Improvements and Performance of Diagnostic Compositional Imaging Using a Novel Dual-Energy X-ray Technique. - Fred Duewer; Chris I. Flowers; Karla Kerlikowske; Serghei Malkov; Bonnie N. Joe; John A. Shepherd 002 (Digital Mammography / IWDM, 2012)

A Calibration Approach for Single-Energy X-ray Absorptiometry Method to Provide Absolute Breast Tissue Composition Accuracy for the Long Term. - Serghei Malkov; Jeff Wang; Fred Duewer; John A. Shepherd 002 (Digital Mammography / IWDM, 2012)

Comparison of Hologic's Quantra Volumetric Assessment to MRI Breast Density. - Jeff Wang; Ania Aziz; David Newitt; Bonnie N. Joe; Nola Hylton; John A. Shepherd 002 (Digital Mammography / IWDM, 2012)

Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. - Serghei Malkov; Fred Duewer; Karla Kerlikowske; Karen Drukker; Maryellen L. Giger; John Shepherd 002 (Digital Mammography / IWDM, 2014)

Automated Volumetric Breast Density Derived by Statistical Model Approach. - Serghei Malkov; Amir Pasha Mahmoudzadeh; Karla Kerlikowske; John Shepherd 002 (Digital Mammography / IWDM, 2014)

Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. - Karen Drukker; Maryellen L. Giger; Fred Duewer; Serghei Malkov; Christopher I. Flowers; Bonnie N. Joe; Karla Kerlikowske; Jennifer S. Drukteinis; John Shepherd 002 (Computer-Aided Diagnosis, 2014)

Automated volumetric breast density derived by shape and appearance modeling. - Serghei Malkov; Karla Kerlikowske; John Shepherd 002 (Image Processing, 2014)

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. - Jesús Ávila; Serghei Malkov; Maryellen L. Giger; Karen Drukker; John A. Shepherd 002 (Digital Mammography / IWDM, 2016)

A Measure of Regional Mammographic Masking Based on the CDMAM Phantom. - Benjamin Hinton; Serghei Malkov; Jesús Ávila; Bo Fan 001; Bonnie N. Joe; Karla Kerlikowske; Lin Ma; Amir Pasha Mahmoudzadeh; John Shepherd 002 (Digital Mammography / IWDM, 2016)

Do Women with Low Breast Density Have Regionally High Breast Density? - Amir Pasha Mahmoudzadeh; Serghei Malkov; Benjamin Hinton; Brian Sprague; Karla Kerlikowske; John Shepherd 002 (Digital Mammography / IWDM, 2016)

Calibration Procedure of Three Component Mammographic Breast Imaging. - Serghei Malkov; Jesús Ávila; Bo Fan 001; Bonnie N. Joe; Karla Kerlikowske; Maryellen L. Giger; Karen Drukker; Jennifer S. Drukteinis; Leila Kazemi; Malesa Pereira; John Shepherd 002 (Digital Mammography / IWDM, 2016)

Identification, segmentation, and characterization of microcalcifications on mammography. - Karen Drukker; Serghei Malkov; Jesús Ávila; Karla Kerlikowske; Bonnie N. Joe; Gregor Krings; Jennifer Creasman; Jennifer S. Drukteinis; Malesa M. Pereira; Leila Kazemi; John Shepherd 002; Maryellen L. Giger (Computer-Aided Diagnosis, 2016)

Deep learning and three-compartment breast imaging in breast cancer diagnosis. - Karen Drukker; Benjamin Q. Huynh; Maryellen L. Giger; Serghei Malkov; Jesús I. Ávila; Bo Fan 001; Bonnie N. Joe; Karla Kerlikowske; Jennifer S. Drukteinis; Leila Kazemi; Malesa M. Pereira; John Shepherd 002 (Computer-Aided Diagnosis, 2017)

Deep learning methods aid in predicting risk of interval cancer. - Benjamin Hinton; Heather Greenwood; Bonnie N. Joe; Karla Kerlikowske; Lin Ma; John Shepherd 002 (IWBI, 2018)

Crotch detection on 3D optical scans of human subjects. - Sima Sobhiyeh; Alexander Dunkel; Marcelline Dechenaud; Samantha Kennedy; John Shepherd 002; Steven B. Heymsfield; Peter R. Wolenski (3DMPD, 2019)

Hole Filling in 3D Scans for Digital Anthropometric Applications. - Sima Sobhiyeh; Marcelline Dechenaud; Alexander Dunkel; Margarite L. LaBorde; Samantha Kennedy; John Shepherd 002; Steven B. Heymsfield; Peter R. Wolenski (EMBC, 2019)

Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up Study. - Sima Sobhiyeh; Nathan Borel; Marcelline Dechenaud; Clinten A. Graham; Michael C. Wong; Peter R. Wolenski; John Shepherd 002; Steven B. Heymsfield (EMBC, 2020)

Quantitative Imaging Principles Improves Medical Image Learning. - Lambert T. Leong; Michael C. Wong; Yannik Glaser; Thomas K. Wolfgruber; Steven B. Heymsfield; Peter Sadwoski; John A. Shepherd 002 (CoRR, 2022)

Ranks underlie outcome of combining classifiers: Quantitative roles for diversity and accuracy. - Matthew J. Sniatynski; John A. Shepherd 002; Thomas Ernst; Lynne R. Wilkens; D. Frank Hsu; Bruce S. Kristal (Patterns, 2022)

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound. - Arianna Bunnell; Yannik Glaser; Dustin Valdez; Thomas K. Wolfgruber; Aleen Altamirano; Carol Zamora González; Brenda Y. Hernandez; Peter Sadowski; John A. Shepherd 002 (MICCAI (3), 2024)

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI. - Arianna Bunnell; Kailee Hung; John A. Shepherd 002; Peter Sadowski (CoRR, 2024)

Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images. - Arianna Bunnell; Dustin Valdez; Thomas K. Wolfgruber; Brandon Quon; Kailee Hung; Brenda Y. Hernandez; Todd B. Seto; Jeffrey Killeen; Marshall Miyoshi; Peter Sadowski; John A. Shepherd 002 (CoRR, 2024)

Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy. - Arianna Bunnell; Dustin Valdez; Fredrik Strand; Yannik Glaser; Peter Sadowski; John A. Shepherd 002 (CoRR, 2024)

Prediction of total and regional body composition from 3D body shape. - Chexuan Qiao; Emanuella De Lucia Rolfe; Ethan Mak; Akash Sengupta; Richard Powell; Laura P. E. Watson; Steven B. Heymsfield; John A. Shepherd 002; Nicholas J. Wareham; Søren Brage; Roberto Cipolla (npj Digit. Medicine, 2024)

The DIRAC framework: Geometric structure underlies roles of diversity and accuracy in combining classifiers. - Matthew J. Sniatynski; John A. Shepherd 002; Lynne R. Wilkens; D. Frank Hsu; Bruce S. Kristal (Patterns, 2024)

3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. - Isaac Y. Tian; Jason Liu; Michael C. Wong; Nisa N. Kelly; Yong E. Liu; Andrea K. Garber; Steven B. Heymsfield; Brian Curless; John A. Shepherd 002 (npj Digit. Medicine, 2025)

Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging. - Arianna Bunnell; Devon Cataldi; Yannik Glaser; Thomas K. Wolfgruber; Steven B. Heymsfield; Alan B. Zonderman; Thomas L. Kelly; Peter Sadowski; John A. Shepherd 002 (CoRR, 2025)