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M Brendel

Showing results (171-180 of 202) with videos related to

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Radiologie (Heidelberg, Germany)|May 7, 2024
[Imaging of neuroendocrine tumors of the gastrointestinal tract : Value of (hybrid) imaging diagnostics in radiology]R Ebner, J Rübenthaler, J Ricke, et al.
Current Genetics|April 4, 1998
Low glutathione pools in the original pso3 mutant of Saccharomyces cerevisiae are responsible for its pleiotropic sensitivity phenotypeM Brendel, M Grey, A F Maris, et al.
Zentralblatt Fur Chirurgie|September 25, 1998
[Graft rejection in experimental xenogenic transplantation of isolated islands of Langerhans of the pig]H Jahr, D Brandhorst, H Brandhorst, et al.
Academic Radiology|January 16, 2025
Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric StudyReza Dehdab, Jan M Brendel, Sebastian Streich, et al.
The International Journal of Cardiovascular Imaging|May 21, 2021
Cardiac MRI findings to differentiate athlete's heart from hypertrophic (HCM), arrhythmogenic right ventricular (ARVC) and dilated (DCM) cardiomyopathyJ Kübler, C Burgstahler, J M Brendel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 1, 2022
Interplay of tau and functional network connectivity in progressive supranuclear palsy: a [<sup>18</sup>F]PI-2620 PET/MRI studyGayane Aghakhanyan, M Rullmann, J Rumpf, et al.
The International Journal of Cardiovascular Imaging|October 7, 2024
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitationsJens Kübler, Jan M Brendel, Thomas Küstner, et al.
Academic Radiology|July 2, 2024
Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRIJan M Brendel, Johann Jacoby, Reza Dehdab, et al.
Diagnostic and Interventional Imaging|October 4, 2024
Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiographyJan M Brendel, Jonathan Walterspiel, Florian Hagen, et al.
European Radiology|September 6, 2024
Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequencesSaif Afat, Julian Wohlers, Judith Herrmann, et al.
Pageof 21

Showing results (171-180 of 202) with videos related to

Sort By:
Pageof 21
Radiologie (Heidelberg, Germany)|May 7, 2024
[Imaging of neuroendocrine tumors of the gastrointestinal tract : Value of (hybrid) imaging diagnostics in radiology]R Ebner, J Rübenthaler, J Ricke, et al.
Current Genetics|April 4, 1998
Low glutathione pools in the original pso3 mutant of Saccharomyces cerevisiae are responsible for its pleiotropic sensitivity phenotypeM Brendel, M Grey, A F Maris, et al.
Zentralblatt Fur Chirurgie|September 25, 1998
[Graft rejection in experimental xenogenic transplantation of isolated islands of Langerhans of the pig]H Jahr, D Brandhorst, H Brandhorst, et al.
Academic Radiology|January 16, 2025
Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric StudyReza Dehdab, Jan M Brendel, Sebastian Streich, et al.
The International Journal of Cardiovascular Imaging|May 21, 2021
Cardiac MRI findings to differentiate athlete's heart from hypertrophic (HCM), arrhythmogenic right ventricular (ARVC) and dilated (DCM) cardiomyopathyJ Kübler, C Burgstahler, J M Brendel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 1, 2022
Interplay of tau and functional network connectivity in progressive supranuclear palsy: a [<sup>18</sup>F]PI-2620 PET/MRI studyGayane Aghakhanyan, M Rullmann, J Rumpf, et al.
The International Journal of Cardiovascular Imaging|October 7, 2024
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitationsJens Kübler, Jan M Brendel, Thomas Küstner, et al.
Academic Radiology|July 2, 2024
Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRIJan M Brendel, Johann Jacoby, Reza Dehdab, et al.
Diagnostic and Interventional Imaging|October 4, 2024
Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiographyJan M Brendel, Jonathan Walterspiel, Florian Hagen, et al.
European Radiology|September 6, 2024
Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequencesSaif Afat, Julian Wohlers, Judith Herrmann, et al.
Pageof 21