Brad M. Keller

1.5k total citations
41 papers, 1.1k citations indexed

About

Brad M. Keller is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Brad M. Keller has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 27 papers in Artificial Intelligence and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Brad M. Keller's work include AI in cancer detection (27 papers), Digital Radiography and Breast Imaging (25 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Brad M. Keller is often cited by papers focused on AI in cancer detection (27 papers), Digital Radiography and Breast Imaging (25 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Brad M. Keller collaborates with scholars based in United States, United Kingdom and China. Brad M. Keller's co-authors include Emily F. Conant, Despina Kontos, Yuanjie Zheng, James C. Gee, Jinbo Chen, Anthony P. Reeves, Yan Wang, R. Graham Barr, John H. M. Austin and Sonia Mesía-Vela and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Brad M. Keller

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brad M. Keller United States 17 757 575 454 309 86 41 1.1k
Olga Melnichouk Canada 10 417 0.6× 299 0.5× 176 0.4× 386 1.2× 15 0.2× 10 813
Alexi Baidoshvili Netherlands 15 89 0.1× 492 0.9× 346 0.8× 149 0.5× 90 1.0× 22 920
Jennifer S. Drukteinis United States 12 144 0.2× 161 0.3× 490 1.1× 151 0.5× 137 1.6× 30 977
Tafadzwa L. Chaunzwa United States 10 379 0.5× 175 0.3× 428 0.9× 95 0.3× 201 2.3× 21 827
Olorunsola F. Agbaje United Kingdom 15 171 0.2× 201 0.3× 176 0.4× 438 1.4× 25 0.3× 26 971
Giulia Picozzi Italy 16 975 1.3× 62 0.1× 652 1.4× 197 0.6× 22 0.3× 36 1.2k
Catherine Klifa United States 17 353 0.5× 187 0.3× 593 1.3× 263 0.9× 5 0.1× 38 1.0k
Barbara Galen United States 5 661 0.9× 71 0.1× 554 1.2× 242 0.8× 11 0.1× 5 1.0k
Amir Pasha Mahmoudzadeh United States 13 322 0.4× 262 0.5× 148 0.3× 238 0.8× 9 0.1× 23 495
Cheng Jin China 13 160 0.2× 212 0.4× 577 1.3× 169 0.5× 10 0.1× 33 901

Countries citing papers authored by Brad M. Keller

Since Specialization
Citations

This map shows the geographic impact of Brad M. Keller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brad M. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad M. Keller more than expected).

Fields of papers citing papers by Brad M. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad M. Keller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brad M. Keller. The network helps show where Brad M. Keller may publish in the future.

Co-authorship network of co-authors of Brad M. Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Brad M. Keller. A scholar is included among the top collaborators of Brad M. Keller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brad M. Keller. Brad M. Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Gastounioti, Aimilia, Andrew Oustimov, Brad M. Keller, et al.. (2016). Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations. Medical Physics. 43(11). 5862–5877. 24 indexed citations
3.
Chen, Lin, Shonket Ray, Brad M. Keller, et al.. (2016). The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006. Radiology. 280(3). 693–700. 1 indexed citations
4.
Zuckerman, Samantha P., Emily F. Conant, Brad M. Keller, et al.. (2016). Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program. Radiology. 281(3). 730–736. 116 indexed citations
5.
McCarthy, Anne Marie, Brad M. Keller, Lauren Pantalone, et al.. (2016). Racial Differences in Quantitative Measures of Area and Volumetric Breast Density. JNCI Journal of the National Cancer Institute. 108(10). djw104–djw104. 69 indexed citations
6.
McCarthy, Anne Marie, Brad M. Keller, Despina Kontos, et al.. (2015). The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms. Breast Cancer Research. 17(1). 1–1. 85 indexed citations
7.
Zheng, Yuanjie, Brad M. Keller, Shonket Ray, et al.. (2015). Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment. Medical Physics. 42(7). 4149–4160. 90 indexed citations
8.
Sussman, Betsy L., Mercedes Rincón, Despina Kontos, et al.. (2015). The influence of inflammation on mammographic breast density in women at increased risk of breast cancer.. Journal of Clinical Oncology. 33(15_suppl). 1566–1566. 2 indexed citations
9.
Keller, Brad M., Anne Marie McCarthy, Jinbo Chen, et al.. (2015). Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography. BMC Cancer. 15(1). 143–143. 15 indexed citations
10.
11.
McAllister, David, Firas S. Ahmed, John H. M. Austin, et al.. (2014). Emphysema Predicts Hospitalisation and Incident Airflow Obstruction among Older Smokers: A Prospective Cohort Study. PLoS ONE. 9(4). e93221–e93221. 24 indexed citations
12.
Keller, Brad M., Jinbo Chen, Emily F. Conant, & Despina Kontos. (2014). Breast density and parenchymal texture measures as potential risk factors for estrogen-receptor positive breast cancer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90351D–90351D. 17 indexed citations
13.
Wang, Yan, Brad M. Keller, Yuanjie Zheng, et al.. (2013). Texture feature standardization in digital mammography for improving generalizability across devices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 2 indexed citations
14.
Keller, Brad M., et al.. (2013). Reader Variability in Breast Density Estimation from Full-Field Digital Mammograms. Academic Radiology. 20(5). 560–568. 22 indexed citations
15.
Keller, Brad M., Yan Wang, Yuanjie Zheng, et al.. (2012). Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation. Medical Physics. 39(8). 4903–4917. 142 indexed citations
16.
Wang, Yan, Brad M. Keller, Yuanjie Zheng, et al.. (2012). A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features. Lecture notes in computer science. 7361. 604–610. 5 indexed citations
17.
Keller, Brad M., Yan Wang, Yuanjie Zheng, et al.. (2011). Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography. Lecture notes in computer science. 14(Pt 3). 562–569. 22 indexed citations
18.
Biancardi, Alberto, David Yankelevitz, Sergei V. Fotin, et al.. (2009). A public image database to support research in computer aided diagnosis. PubMed. 2009. 3715–3718. 28 indexed citations
19.
Judkins, David C., et al.. (2008). Early Outcomes of the GEAR UP Program. Final Report.. 19 indexed citations
20.
Barr, R. Graham, Sonia Mesía-Vela, John H. M. Austin, et al.. (2007). Impaired Flow-mediated Dilation is Associated with Low Pulmonary Function and Emphysema in Ex-smokers. American Journal of Respiratory and Critical Care Medicine. 176(12). 1200–1207. 191 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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