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Proceedings of Spie--The International Society for Optical Engineering
|
June 3, 2022
Control of Variance and Bias in CT Image Processing with Variational Training of Deep Neural Networks
Matthew Tivnan, Wenying Wang, Grace Gang, et al.
Applied Optics
|
February 24, 2022
Static coded illumination strategies for low-dose x-ray material decomposition
Angela P Cuadros, Carlos M Restrepo, Peter Noël, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
November 4, 2022
Tunable Neural Networks for Multi-Material Image Formation from Spectral CT Measurements
Matthew Tivnan, Grace Gang, Ruoqiao Zhang, et al.
Optics Express
|
May 27, 2018
Analysis and correction of bias induced by phase stepping jitter in grating-based X-ray phase-contrast imaging
Fabio De Marco, Mathias Marschner, Lorenz Birnbacher, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
December 10, 2020
Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition
Matthew Tivnan, Wenying Wang, Grace J Gang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
May 8, 2023
Tunable neural networks for CT image formation
Matthew Tivnan, Grace J Gang, Wenying Wang, et al.
Biomedical Optics Express
|
July 23, 2016
X-ray deconvolution microscopy
Sebastian Ehn, Franz Michael Epple, Andreas Fehringer, et al.
Scientific Reports
|
December 13, 2022
Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans
Apurva Singh, Hannah Horng, Rhea Chitalia, et al.
Optics Express
|
January 22, 2015
Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography
Karin Burger, Thomas Koehler, Michael Chabior, et al.
Plos One
|
March 23, 2016
Quantitative Three-Dimensional Imaging of Lipid, Protein, and Water Contents via X-Ray Phase-Contrast Tomography
Marian Willner, Manuel Viermetz, Mathias Marschner, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Proceedings of Spie--The International Society for Optical Engineering
|
June 3, 2022
Control of Variance and Bias in CT Image Processing with Variational Training of Deep Neural Networks
Matthew Tivnan, Wenying Wang, Grace Gang, et al.
Applied Optics
|
February 24, 2022
Static coded illumination strategies for low-dose x-ray material decomposition
Angela P Cuadros, Carlos M Restrepo, Peter Noël, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
November 4, 2022
Tunable Neural Networks for Multi-Material Image Formation from Spectral CT Measurements
Matthew Tivnan, Grace Gang, Ruoqiao Zhang, et al.
Optics Express
|
May 27, 2018
Analysis and correction of bias induced by phase stepping jitter in grating-based X-ray phase-contrast imaging
Fabio De Marco, Mathias Marschner, Lorenz Birnbacher, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
December 10, 2020
Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition
Matthew Tivnan, Wenying Wang, Grace J Gang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
May 8, 2023
Tunable neural networks for CT image formation
Matthew Tivnan, Grace J Gang, Wenying Wang, et al.
Biomedical Optics Express
|
July 23, 2016
X-ray deconvolution microscopy
Sebastian Ehn, Franz Michael Epple, Andreas Fehringer, et al.
Scientific Reports
|
December 13, 2022
Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans
Apurva Singh, Hannah Horng, Rhea Chitalia, et al.
Optics Express
|
January 22, 2015
Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography
Karin Burger, Thomas Koehler, Michael Chabior, et al.
Plos One
|
March 23, 2016
Quantitative Three-Dimensional Imaging of Lipid, Protein, and Water Contents via X-Ray Phase-Contrast Tomography
Marian Willner, Manuel Viermetz, Mathias Marschner, et al.
Page
of 3