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J W Stayman

Showing results (51-60 of 81) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|June 30, 2021
Noise Reduction in Material Decomposition for Low-Dose Dual-Energy Cone-Beam CTW Zbijewski, G Gang, A S Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 22, 2021
3D-2D Image Registration in Virtual Long-Film Imaging: Application to Spinal Deformity CorrectionA Uneri, X Zhang, J W Stayman, et al.
Physics in Medicine and Biology|November 28, 2015
Volumetric CT with sparse detector arrays (and application to Si-strip photon counters)A Sisniega, W Zbijewski, J W Stayman, et al.
Medical Physics|May 3, 2013
Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributionsA Sisniega, W Zbijewski, A Badal, et al.
Physics in Medicine and Biology|August 7, 2012
Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgeryY Otake, S Schafer, J W Stayman, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 6, 2013
The Generalized NEQ and Detectability Index for Tomosynthesis and Cone-Beam CT: From Cascaded Systems Analysis to Human ObserversG J Gang, J Lee, J W Stayman, et al.
Medical Physics|October 14, 2011
Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imagingP Prakash, W Zbijewski, G J Gang, et al.
Physics in Medicine and Biology|January 23, 2015
High-fidelity artifact correction for cone-beam CT imaging of the brainA Sisniega, W Zbijewski, J Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 14, 2015
Incorporation of Prior Knowledge for Region of Change Imaging from Sparse Scan Data in Image-Guided SurgeryJ Lee, J W Stayman, Y Otake, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 25, 2015
Cone-Beam CT of Traumatic Brain Injury Using Statistical Reconstruction with a Post-Artifact-Correction Noise ModelH Dang, J W Stayman, A Sisniega, et al.
Pageof 9

Showing results (51-60 of 81) with videos related to

Sort By:
Pageof 9
Proceedings of Spie--The International Society for Optical Engineering|June 30, 2021
Noise Reduction in Material Decomposition for Low-Dose Dual-Energy Cone-Beam CTW Zbijewski, G Gang, A S Wang, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 22, 2021
3D-2D Image Registration in Virtual Long-Film Imaging: Application to Spinal Deformity CorrectionA Uneri, X Zhang, J W Stayman, et al.
Physics in Medicine and Biology|November 28, 2015
Volumetric CT with sparse detector arrays (and application to Si-strip photon counters)A Sisniega, W Zbijewski, J W Stayman, et al.
Medical Physics|May 3, 2013
Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributionsA Sisniega, W Zbijewski, A Badal, et al.
Physics in Medicine and Biology|August 7, 2012
Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgeryY Otake, S Schafer, J W Stayman, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 6, 2013
The Generalized NEQ and Detectability Index for Tomosynthesis and Cone-Beam CT: From Cascaded Systems Analysis to Human ObserversG J Gang, J Lee, J W Stayman, et al.
Medical Physics|October 14, 2011
Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imagingP Prakash, W Zbijewski, G J Gang, et al.
Physics in Medicine and Biology|January 23, 2015
High-fidelity artifact correction for cone-beam CT imaging of the brainA Sisniega, W Zbijewski, J Xu, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 14, 2015
Incorporation of Prior Knowledge for Region of Change Imaging from Sparse Scan Data in Image-Guided SurgeryJ Lee, J W Stayman, Y Otake, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 25, 2015
Cone-Beam CT of Traumatic Brain Injury Using Statistical Reconstruction with a Post-Artifact-Correction Noise ModelH Dang, J W Stayman, A Sisniega, et al.
Pageof 9