John A. Shepherd

Orcid: 0000-0003-2280-2541

Affiliations:
  • University of Hawaii, Cancer Center, Honolulu, HI, USA
  • University of California San Francisco, School of Medicine, San Francisco, CA, USA (1999 - 2018)


According to our database1, John A. Shepherd authored at least 24 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

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Online presence:

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Bibliography

2024
The DIRAC framework: Geometric structure underlies roles of <i>diversity</i> and <i>accuracy</i> in combining classifiers.
Patterns, March, 2024

2022
Ranks underlie outcome of combining classifiers: Quantitative roles for <i>diversity</i> and <i>accuracy</i>.
Patterns, 2022

Quantitative Imaging Principles Improves Medical Image Learning.
CoRR, 2022

2020
Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Hole Filling in 3D Scans for Digital Anthropometric Applications.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Crotch detection on 3D optical scans of human subjects.
Proceedings of the 3D Measurement and Data Processing 2019, 2019

2018
Deep learning methods aid in predicting risk of interval cancer.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Deep learning and three-compartment breast imaging in breast cancer diagnosis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Identification, segmentation, and characterization of microcalcifications on mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Calibration Procedure of Three Component Mammographic Breast Imaging.
Proceedings of the Breast Imaging, 2016

Do Women with Low Breast Density Have Regionally High Breast Density?
Proceedings of the Breast Imaging, 2016

A Measure of Regional Mammographic Masking Based on the CDMAM Phantom.
Proceedings of the Breast Imaging, 2016

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging.
Proceedings of the Breast Imaging, 2016

2014
Automated volumetric breast density derived by shape and appearance modeling.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Automated Volumetric Breast Density Derived by Statistical Model Approach.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2012
Comparison of Hologic's Quantra Volumetric Assessment to MRI Breast Density.
Proceedings of the Breast Imaging, 2012

A Calibration Approach for Single-Energy X-ray Absorptiometry Method to Provide Absolute Breast Tissue Composition Accuracy for the Long Term.
Proceedings of the Breast Imaging, 2012

Improvements and Performance of Diagnostic Compositional Imaging Using a Novel Dual-Energy X-ray Technique.
Proceedings of the Breast Imaging, 2012

2010
Comparison of Subregional Breast Density with Whole Breast Density.
Proceedings of the Digital Mammography, 2010

2008
Cross-Calibration and Longitudinal Quality Control of Hologic Selenia Full-Field Digital Mammography Systems for Volumetric Breast Density Measurements.
Proceedings of the Digital Mammography, 2008

Improvements to Single Energy Absorptiometry Method for Digital Mammography to Quantify Breast Tissue Density.
Proceedings of the Digital Mammography, 2008

Dual-Energy X-Ray Absorptiometry Method Using a Full Field Digital Mammography System.
Proceedings of the Digital Mammography, 2008


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