Brad M. Keller

Baxter (United States) — United States

Medicine · Health Sciences

19h-index1.5kcitations62works2.52yr avg
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Research Topics

Digital Radiography and Breast Imaging(32), AI in cancer detection(30), Radiomics and Machine Learning in Medical Imaging(14), Chronic Obstructive Pulmonary Disease (COPD) Research(13), Global Cancer Incidence and Screening(9)

Publications62 total

Comparison of middle molecule removal with expanded hemodialysis versus haemodiafiltration among Chinese hemodialysis patients
Renal Failure·2025· 1 citedOpen Access
A Randomized Trial of Middle Molecule Clearance in Patients on Chronic Hemodialysis: Results from the ROCKeT Study
Journal of the American Society of Nephrology·2024
Dosimetric Outcomes of SBRT to Ultracentral Lung Tumors: Lessons from the SUNSET Trial
International Journal of Radiation Oncology*Biology*Physics·2024
Performance Evaluation of an Automated Peritoneal Dialysis Solution Generation System in Patients Using Automated Peritoneal Dialysis
Kidney International Reports·2024· 9 citedOpen Access
Successful Measurement of Intraperitoneal Pressure (IPP) in Peritoneal Dialysis Patients With a Pressure Transducer Demonstrates Significant Interindividual Variation and a Complex Relationship With IP Volume
Journal of the American Society of Nephrology·2022
Advancing the Diagnostic Cockpit of the Future: An Opportunity to Improve Diagnostic Accuracy and Efficiency
Academic Radiology·2018· 9 cited
Assessment of disease extent on contrast-enhanced MRI in breast cancer detected at digital breast tomosynthesis versus digital mammography alone
Clinical Radiology·2017· 23 citedOpen Access
Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures
Radiology·2017· 29 cited
Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations
Medical Physics·2016· 32 citedOpen Access
Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program
Radiology·2016· 143 citedOpen Access
Association between Breast Parenchymal Complexity and False-Positive Recall From Digital Mammography Versus Breast Tomosynthesis
Academic Radiology·2016· 4 citedOpen Access
Racial Differences in Quantitative Measures of Area and Volumetric Breast Density
JNCI Journal of the National Cancer Institute·2016· 93 citedOpen Access
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016· 1 cited
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016· 3 cited
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016· 2 cited
The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006
Radiology·2016· 1 citedOpen Access
Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case–control study with digital mammography
Breast Cancer Research·2015· 117 citedOpen Access
Abstract 2770: Racial differences in quantitative measures of area and volumetric breast density
Cancer Research·2015
Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment
Medical Physics·2015· 114 citedOpen Access
The influence of inflammation on mammographic breast density in women at increased risk of breast cancer.
Journal of Clinical Oncology·2015· 2 cited
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Frequent Co-authors

Despina Kontos(31), Emily F. Conant(26), Yuanjie Zheng(9), James C. Gee(9), Anthony P. Reeves(8), Andrew D. A. Maidment(8), Jinbo Chen(8), Shonket Ray(7), Claudia I. Henschke(7), David F. Yankelevitz(7), R. Graham Barr(5), Yan Wang(5), Susan P. Weinstein(5), D. Nathan(4), Elizabeth S. McDonald(4), Aimilia Gastounioti(4), Raymond J. Acciavatti(4), Marie Synnestvedt(3), Yan Wang(3), Anne Marie McCarthy(3)