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Thomas Beyer

Showing results (161-170 of 201) with videos related to

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Frontiers in Oncology|October 28, 2022
Automated data preparation for <i>in vivo</i> tumor characterization with machine learningDenis Krajnc, Clemens P Spielvogel, Marko Grahovac, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 25, 2017
Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by <sup>18</sup>F-Fluoride and <sup>18</sup>F-FDGXiang Li, Daniel Heber, Jacobo Cal-Gonzalez, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 28, 2020
Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic <sup>18</sup>F-FDG PET Brain StudiesLalith Kumar Shiyam Sundar, David Iommi, Otto Muzik, et al.
Journal of Immunology (Baltimore, Md. : 1950)|March 7, 2008
Tumor cell killing mechanisms of epidermal growth factor receptor (EGFR) antibodies are not affected by lung cancer-associated EGFR kinase mutationsMatthias Peipp, Tanja Schneider-Merck, Michael Dechant, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 28, 2016
Quantitative assessment of atherosclerotic plaques on (18)F-FDG PET/MRI: comparison with a PET/CT hybrid systemXiang Li, Daniel Heber, Ivo Rausch, et al.
European Journal of Nuclear Medicine and Molecular Imaging|March 23, 2016
Erratum to: Quantitative assessment of atherosclerotic plaques on <sup>18</sup>F-FDG PET/MRI: comparison with a PET/CT hybrid systemXiang Li, Daniel Heber, Ivo Rausch, et al.
Nuklearmedizin. Nuclear Medicine|March 1, 2019
Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus RecommendationLale Umutlu, Thomas Beyer, Johannes Stefan Grueneisen, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|May 24, 2018
Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic ratesLalith Ks Sundar, Otto Muzik, Lucas Rischka, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|March 1, 2019
Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus RecommendationLale Umutlu, Thomas Beyer, Johannes Stefan Grueneisen, et al.
Frontiers in Oncology|February 23, 2023
Sex-specific radiomic features of L-[S-methyl-<sup>11</sup>C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictabilityLaszlo Papp, Sazan Rasul, Clemens P Spielvogel, et al.
Pageof 21

Showing results (161-170 of 201) with videos related to

Sort By:
Pageof 21
Frontiers in Oncology|October 28, 2022
Automated data preparation for <i>in vivo</i> tumor characterization with machine learningDenis Krajnc, Clemens P Spielvogel, Marko Grahovac, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 25, 2017
Association Between Osteogenesis and Inflammation During the Progression of Calcified Plaque Evaluated by <sup>18</sup>F-Fluoride and <sup>18</sup>F-FDGXiang Li, Daniel Heber, Jacobo Cal-Gonzalez, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 28, 2020
Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic <sup>18</sup>F-FDG PET Brain StudiesLalith Kumar Shiyam Sundar, David Iommi, Otto Muzik, et al.
Journal of Immunology (Baltimore, Md. : 1950)|March 7, 2008
Tumor cell killing mechanisms of epidermal growth factor receptor (EGFR) antibodies are not affected by lung cancer-associated EGFR kinase mutationsMatthias Peipp, Tanja Schneider-Merck, Michael Dechant, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 28, 2016
Quantitative assessment of atherosclerotic plaques on (18)F-FDG PET/MRI: comparison with a PET/CT hybrid systemXiang Li, Daniel Heber, Ivo Rausch, et al.
European Journal of Nuclear Medicine and Molecular Imaging|March 23, 2016
Erratum to: Quantitative assessment of atherosclerotic plaques on <sup>18</sup>F-FDG PET/MRI: comparison with a PET/CT hybrid systemXiang Li, Daniel Heber, Ivo Rausch, et al.
Nuklearmedizin. Nuclear Medicine|March 1, 2019
Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus RecommendationLale Umutlu, Thomas Beyer, Johannes Stefan Grueneisen, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|May 24, 2018
Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic ratesLalith Ks Sundar, Otto Muzik, Lucas Rischka, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|March 1, 2019
Whole-Body [18F]-FDG-PET/MRI for Oncology: A Consensus RecommendationLale Umutlu, Thomas Beyer, Johannes Stefan Grueneisen, et al.
Frontiers in Oncology|February 23, 2023
Sex-specific radiomic features of L-[S-methyl-<sup>11</sup>C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictabilityLaszlo Papp, Sazan Rasul, Clemens P Spielvogel, et al.
Pageof 21