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Bruno De Man

Showing results (41-50 of 58) with videos related to

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Journal of X-Ray Science and Technology|January 13, 2024
Deep-silicon photon-counting x-ray projection denoising through reinforcement learningMd Sayed Tanveer, Christopher Wiedeman, Mengzhou Li, et al.
IEEE Transactions on Medical Imaging|July 4, 2024
A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CTGrigorios M Karageorgos, Jiayong Zhang, Nils Peters, et al.
Medical Physics|October 16, 2024
Bolus tracking from pulsed x-ray projections: A feasibility study using a five-dimensional cardiac CT contrast dynamics modelEri Haneda, Isabelle M Heukensfeldt Jansen, Pengwei Wu, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|March 9, 2026
Dual-Domain Denoising Diffusion Probabilistic Model for Metal Artifact ReductionWenjun Xia, Chuang Niu, Grigorios M Karageorgos, et al.
Physics in Medicine and Biology|October 19, 2016
Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correctionXue Rui, Yannan Jin, Paul F FitzGerald, et al.
Physics in Medicine and Biology|October 17, 2019
A dual-stream deep convolutional network for reducing metal streak artifacts in CT imagesLars Gjesteby, Hongming Shan, Qingsong Yang, et al.
Medical Physics|October 8, 2025
A hybrid training database and evaluation benchmark for assessing metal artifact reduction methods for X-ray CT imagingNils Peters, Eri Haneda, Jiayong Zhang, et al.
Medical Physics|September 25, 2024
Coronary atherosclerotic plaque characterization with silicon-based photon-counting computed tomography (CT): A simulation-based feasibility studyMengzhou Li, Mingye Wu, Jed Pack, et al.
Medical Physics|May 22, 2026
Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastasesMamatha Venugopal, Sathish Ramani, Jacob J Peoples, et al.
Physics in Medicine and Biology|September 10, 2015
Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithmsXue Rui, Lishui Cheng, Yong Long, et al.
Pageof 6

Showing results (41-50 of 58) with videos related to

Sort By:
Pageof 6
Journal of X-Ray Science and Technology|January 13, 2024
Deep-silicon photon-counting x-ray projection denoising through reinforcement learningMd Sayed Tanveer, Christopher Wiedeman, Mengzhou Li, et al.
IEEE Transactions on Medical Imaging|July 4, 2024
A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CTGrigorios M Karageorgos, Jiayong Zhang, Nils Peters, et al.
Medical Physics|October 16, 2024
Bolus tracking from pulsed x-ray projections: A feasibility study using a five-dimensional cardiac CT contrast dynamics modelEri Haneda, Isabelle M Heukensfeldt Jansen, Pengwei Wu, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|March 9, 2026
Dual-Domain Denoising Diffusion Probabilistic Model for Metal Artifact ReductionWenjun Xia, Chuang Niu, Grigorios M Karageorgos, et al.
Physics in Medicine and Biology|October 19, 2016
Fast analytical approach of application specific dose efficient spectrum selection for diagnostic CT imaging and PET attenuation correctionXue Rui, Yannan Jin, Paul F FitzGerald, et al.
Physics in Medicine and Biology|October 17, 2019
A dual-stream deep convolutional network for reducing metal streak artifacts in CT imagesLars Gjesteby, Hongming Shan, Qingsong Yang, et al.
Medical Physics|October 8, 2025
A hybrid training database and evaluation benchmark for assessing metal artifact reduction methods for X-ray CT imagingNils Peters, Eri Haneda, Jiayong Zhang, et al.
Medical Physics|September 25, 2024
Coronary atherosclerotic plaque characterization with silicon-based photon-counting computed tomography (CT): A simulation-based feasibility studyMengzhou Li, Mingye Wu, Jed Pack, et al.
Medical Physics|May 22, 2026
Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastasesMamatha Venugopal, Sathish Ramani, Jacob J Peoples, et al.
Physics in Medicine and Biology|September 10, 2015
Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithmsXue Rui, Lishui Cheng, Yong Long, et al.
Pageof 6