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Mark A Anastasio

Showing results (61-70 of 188) with videos related to

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IEEE Transactions on Medical Imaging|June 17, 2005
Weighted expectation maximization reconstruction algorithms for thermoacoustic tomographyJin Zhang, Mark A Anastasio, Xiaochuan Pan, et al.
Physics in Medicine and Biology|April 30, 2014
Sparsity-regularized image reconstruction of decomposed K-edge data in spectral CTQiaofeng Xu, Alex Sawatzky, Mark A Anastasio, et al.
Contrast Media & Molecular Imaging|January 29, 2014
Spectral CT: a technology primer for contrast agent developmentCarsten O Schirra, Bernhard Brendel, Mark A Anastasio, et al.
Optics Express|June 24, 2009
Image reconstruction in quantitative X-ray phase-contrast imaging employing multiple measurementsCheng-Ying Chou, Yin Huang, Daxin Shi, et al.
Physics in Medicine and Biology|March 8, 2023
Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditionsRucha Deshpande, Ashish Avachat, Frank J Brooks, et al.
IEEE Transactions on Medical Imaging|May 8, 2014
Proximal ADMM for multi-channel image reconstruction in spectral X-ray CTAlex Sawatzky, Qiaofeng Xu, Carsten O Schirra, et al.
Physics in Medicine and Biology|February 20, 2004
Analytic image reconstruction in local phase-contrast tomographyMark A Anastasio, Daxin Shi, Francesco De Carlo, et al.
Physics in Medicine and Biology|January 3, 2020
A partial-dithering strategy for edge-illumination x-ray phase-contrast tomography enabled by a joint reconstruction methodYujia Chen, Charlotte K Hagen, Alessandro Olivo, et al.
Physics in Medicine and Biology|January 15, 2020
Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equationJoemini Poudel, Shuai Na, Lihong V Wang, et al.
Photoacoustics|February 2, 2026
Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomographyRefik Mert Cam, Seonyeong Park, Umberto Villa, et al.
Pageof 19

Showing results (61-70 of 188) with videos related to

Sort By:
Pageof 19
IEEE Transactions on Medical Imaging|June 17, 2005
Weighted expectation maximization reconstruction algorithms for thermoacoustic tomographyJin Zhang, Mark A Anastasio, Xiaochuan Pan, et al.
Physics in Medicine and Biology|April 30, 2014
Sparsity-regularized image reconstruction of decomposed K-edge data in spectral CTQiaofeng Xu, Alex Sawatzky, Mark A Anastasio, et al.
Contrast Media & Molecular Imaging|January 29, 2014
Spectral CT: a technology primer for contrast agent developmentCarsten O Schirra, Bernhard Brendel, Mark A Anastasio, et al.
Optics Express|June 24, 2009
Image reconstruction in quantitative X-ray phase-contrast imaging employing multiple measurementsCheng-Ying Chou, Yin Huang, Daxin Shi, et al.
Physics in Medicine and Biology|March 8, 2023
Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditionsRucha Deshpande, Ashish Avachat, Frank J Brooks, et al.
IEEE Transactions on Medical Imaging|May 8, 2014
Proximal ADMM for multi-channel image reconstruction in spectral X-ray CTAlex Sawatzky, Qiaofeng Xu, Carsten O Schirra, et al.
Physics in Medicine and Biology|February 20, 2004
Analytic image reconstruction in local phase-contrast tomographyMark A Anastasio, Daxin Shi, Francesco De Carlo, et al.
Physics in Medicine and Biology|January 3, 2020
A partial-dithering strategy for edge-illumination x-ray phase-contrast tomography enabled by a joint reconstruction methodYujia Chen, Charlotte K Hagen, Alessandro Olivo, et al.
Physics in Medicine and Biology|January 15, 2020
Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equationJoemini Poudel, Shuai Na, Lihong V Wang, et al.
Photoacoustics|February 2, 2026
Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomographyRefik Mert Cam, Seonyeong Park, Umberto Villa, et al.
Pageof 19