Distance-driven projection and backprojection in three dimensions von Man, Bruno De, Basu, Samit

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Deep learning for tomographic image reconstruction von Wang, Ge, Ye, Jong Chul, De Man, Bruno

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Monochromatic image reconstruction via machine learning von Cong, Wenxiang, Xi, Yan, De Man, Bruno, Wang, Ge

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Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction von Giantsoudi, Drosoula, De Man, Bruno, Verburg, Joost, Trofimov, Alexei, Jin, Yannan, Wang, Ge, Gjesteby, Lars, Paganetti, Harald

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Metal Artifact Reduction in CT: Where Are We After Four Decades? von Gjesteby, Lars, De Man, Bruno, Jin, Yannan, Paganetti, Harald, Verburg, Joost, Giantsoudi, Drosoula, Wang, Ge

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Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms von Fu, Lin, De Man, Bruno

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Quest for the ultimate cardiac CT scanner von FitzGerald, Paul, Edic, Peter, Gao, Hewei, Jin, Yannan, Wang, Jiao, Wang, Ge, Man, Bruno De

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Virtual Monoenergetic CT Imaging via Deep Learning von Cong, Wenxiang, Xi, Yan, Fitzgerald, Paul, De Man, Bruno, Wang, Ge

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Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction von Fu, Lin, Lee, Tzu-Cheng, Kim, Soo Mee, Alessio, Adam M., Kinahan, Paul E., Chang, Zhiqian, Sauer, Ken, Kalra, Mannudeep K., De Man, Bruno

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Iterative reconstruction for helical CT: a simulation study von Nuyts, John, Man, Bruno De, Dupont, Patrick, Defrise, Michel, Suetens, Paul, Mortelmans, Luc

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Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions von Pack, Jed D., Xu, Mufeng, Wang, Ge, Baskaran, Lohendran, Min, James, De Man, Bruno

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Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction von Wiedeman, Christopher, Lorraine, Peter, Wang, Ge, Do, Richard, Simpson, Amber, Peoples, Jacob, De Man, Bruno

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Direct Reconstruction of CT-Based Attenuation Correction Images for PET With Cluster-Based Penalties von Kim, Soo Mee, Alessio, Adam M., De Man, Bruno, Kinahan, Paul E.

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High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography von Xi, Yan, Jin, Yannan, De Man, Bruno, Wang, Ge

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Multisource X-Ray and CT: Lessons Learned and Future Outlook von Neculaes, Vasile Bogdan, Edic, Peter M., Frontera, Mark, Caiafa, Antonio, Wang, Ge, De Man, Bruno

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An outlook on x-ray CT research and development von Wang, Ge, Yu, Hengyong, De Man, Bruno

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A dual-stream deep convolutional network for reducing metal streak artifacts in CT images von Gjesteby, Lars, Shan, Hongming, Yang, Qingsong, Xi, Yan, Jin, Yannan, Giantsoudi, Drosoula, Paganetti, Harald, De Man, Bruno, Wang, Ge

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Semiempirical, parameterized spectrum estimation for x‐ray computed tomography von FitzGerald, Paul, Araujo, Stephen, Wu, Mingye, De Man, Bruno

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Modelling the physics in the iterative reconstruction for transmission computed tomography von Nuyts, Johan, De Man, Bruno, Fessler, Jeffrey A, Zbijewski, Wojciech, Beekman, Freek J

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Development and tuning of models for accurate simulation of CT spatial resolution using CatSim von Zhang, Jiayong, Wu, Mingye, FitzGerald, Paul, Araujo, Stephen, De Man, Bruno

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