Jeffrey M. Boone, Ph.D.
Affiliations: | 2010 | Applied Statistics | The University of Alabama, Tuscaloosa, AL |
Area:
Statistics, Industrial EngineeringGoogle:
"Jeffrey Boone"Parents
Sign in to add mentorSubhabrata Chakraborti | grad student | 2010 | University of Alabama | |
(Contributions to multivariate control charting: Studies of the Z chart and four nonparametric charts.) |
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Publications
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Caballo M, Pangallo DR, Sanderink W, et al. (2020) Multi-Marker Quantitative Radiomics for Mass Characterization in Dedicated Breast CT Imaging. Medical Physics |
Ghazi P, Hernandez AM, Abbey C, et al. (2019) Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum likelihood polynomial fitting approach. Medical Physics |
Mettivier G, Bliznakova K, Sechopoulos I, et al. (2017) Evaluation of the BreastSimulator software platform for breast tomography. Physics in Medicine and Biology |
Gazi PM, Aminololama-Shakeri S, Yang K, et al. (2016) Temporal subtraction contrast-enhanced dedicated breast CT. Physics in Medicine and Biology. 61: 6322-6346 |
Lee J, Nishikawa R, Reiser I, et al. (2015) WE-G-207-05: Relationship Between CT Image Quality, Segmentation Performance, and Quantitative Image Feature Analysis. Medical Physics. 42: 3697 |
Chen L, Boone JM, Abbey CK, et al. (2015) Simulated lesion, human observer performance comparison between thin-section dedicated breast CT images versus computed thick-section simulated projection images of the breast. Physics in Medicine and Biology. 60: 3347-58 |
Hernandez A, Gazi P, Seibert J, et al. (2015) TU-CD-207-11: Patient-Driven Automatic Exposure Control for Dedicated Breast CT Medical Physics. 42: 3612-3612 |
Gazi P, Boone J. (2015) TU-CD-BRA-10: Hybridized Deformable Registration Framework for Contrast-Enhanced Dedicated Breast CT Medical Physics. 42: 3608-3608 |
Boone J. (2015) TU-AB-204-04: Advances in CBCT for Breast Imaging Medical Physics. 42: 3592-3593 |
Sidky EY, Chartrand R, Boone JM, et al. (2014) Constrained TpV Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction. Ieee Journal of Translational Engineering in Health and Medicine. 2 |