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Rongping Zeng

Showing results (31-40 of 42) with videos related to

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IEEE Transactions on Medical Imaging|April 6, 2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image StatisticsVarun A Kelkar, Dimitrios S Gotsis, Frank J Brooks, et al.
JAMA Network Open|January 16, 2019
Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging TrialAldo Badano, Christian G Graff, Andreu Badal, et al.
Medical Physics|October 24, 2024
Report on the AAPM grand challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Arxiv|May 15, 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 3, 2020
Computational reader design and statistical performance evaluation of an <i>in-silico</i> imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammographyRongping Zeng, Frank W Samuelson, Diksha Sharma, et al.
Academic Radiology|October 8, 2018
Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose ProtocolsMarios A Gavrielides, Qin Li, Rongping Zeng, et al.
Physics in Medicine and Biology|August 14, 2018
Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scansQin Li, Benjamin P Berman, Tomoe Hagio, et al.
Optics Express|July 20, 2010
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantomMarios A Gavrielides, Lisa M Kinnard, Kyle J Myers, et al.
Nature Machine Intelligence|March 20, 2023
Development of metaverse for intelligent healthcareGe Wang, Andreu Badal, Xun Jia, et al.
Academic Radiology|December 17, 2013
Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom imagesNicholas Petrick, Hyun J Grace Kim, David Clunie, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Medical Imaging|April 6, 2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image StatisticsVarun A Kelkar, Dimitrios S Gotsis, Frank J Brooks, et al.
JAMA Network Open|January 16, 2019
Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging TrialAldo Badano, Christian G Graff, Andreu Badal, et al.
Medical Physics|October 24, 2024
Report on the AAPM grand challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Arxiv|May 15, 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsRucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 3, 2020
Computational reader design and statistical performance evaluation of an <i>in-silico</i> imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammographyRongping Zeng, Frank W Samuelson, Diksha Sharma, et al.
Academic Radiology|October 8, 2018
Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose ProtocolsMarios A Gavrielides, Qin Li, Rongping Zeng, et al.
Physics in Medicine and Biology|August 14, 2018
Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scansQin Li, Benjamin P Berman, Tomoe Hagio, et al.
Optics Express|July 20, 2010
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantomMarios A Gavrielides, Lisa M Kinnard, Kyle J Myers, et al.
Nature Machine Intelligence|March 20, 2023
Development of metaverse for intelligent healthcareGe Wang, Andreu Badal, Xun Jia, et al.
Academic Radiology|December 17, 2013
Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom imagesNicholas Petrick, Hyun J Grace Kim, David Clunie, et al.
Pageof 5