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Moritz Schwyzer

Showing results (21-30 of 34) with videos related to

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European Radiology|August 29, 2023
Fully automated computational measurement of noise in positron emission tomographyThomas Sartoretti, Stephan Skawran, Antonio G Gennari, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Diagnostic Value of Fully Automated Artificial Intelligence Powered Coronary Artery Calcium Scoring from 18F-FDG PET/CTClaudia Morf, Thomas Sartoretti, Antonio G Gennari, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|April 25, 2018
Sex and age differences in the association of heart rate responses to adenosine and myocardial ischemia in patients undergoing myocardial perfusion imagingCatherine Gebhard, Michael Messerli, Christine Lohmann, et al.
Academic Radiology|November 14, 2020
Impact of Adaptive Statistical Iterative Reconstruction-V on Coronary Artery Calcium Scores Obtained From Low-Tube-Voltage Computed Tomography - A Patient StudyChristel H Kamani, Wenjie Huang, Joel Lutz, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|January 7, 2021
Splenic switch-off as a predictor for coronary adenosine response: validation against 13N-ammonia during co-injection myocardial perfusion imaging on a hybrid PET/CMR scannerDimitri Patriki, Elia von Felten, Adam Bakula, et al.
Journal of Computer Assisted Tomography|March 21, 2020
Potential of Radiation Dose Reduction by Optimizing Z-Axis Coverage in Coronary Computed Tomography Angiography on a Latest-Generation 256-Slice ScannerElia von Felten, Michael Messerli, Andreas A Giannopoulos, et al.
Nature Communications|September 27, 2024
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networksErtunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
Nature Communications|November 20, 2024
Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networksErtunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
The International Journal of Cardiovascular Imaging|January 10, 2019
Association between beta-adrenoceptor antagonist-induced sympathicolysis and severity of coronary artery disease as assessed by coronary computed tomography angiography (CCTA)Michael Messerli, Monika Maredziak, Susan Bengs, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 17, 2019
Heart rate reserve during pharmacological stress is a significant negative predictor of impaired coronary flow reserve in womenAchi Haider, Susan Bengs, Monika Maredziak, et al.
Pageof 4

Showing results (21-30 of 34) with videos related to

Sort By:
Pageof 4
European Radiology|August 29, 2023
Fully automated computational measurement of noise in positron emission tomographyThomas Sartoretti, Stephan Skawran, Antonio G Gennari, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Diagnostic Value of Fully Automated Artificial Intelligence Powered Coronary Artery Calcium Scoring from 18F-FDG PET/CTClaudia Morf, Thomas Sartoretti, Antonio G Gennari, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|April 25, 2018
Sex and age differences in the association of heart rate responses to adenosine and myocardial ischemia in patients undergoing myocardial perfusion imagingCatherine Gebhard, Michael Messerli, Christine Lohmann, et al.
Academic Radiology|November 14, 2020
Impact of Adaptive Statistical Iterative Reconstruction-V on Coronary Artery Calcium Scores Obtained From Low-Tube-Voltage Computed Tomography - A Patient StudyChristel H Kamani, Wenjie Huang, Joel Lutz, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|January 7, 2021
Splenic switch-off as a predictor for coronary adenosine response: validation against 13N-ammonia during co-injection myocardial perfusion imaging on a hybrid PET/CMR scannerDimitri Patriki, Elia von Felten, Adam Bakula, et al.
Journal of Computer Assisted Tomography|March 21, 2020
Potential of Radiation Dose Reduction by Optimizing Z-Axis Coverage in Coronary Computed Tomography Angiography on a Latest-Generation 256-Slice ScannerElia von Felten, Michael Messerli, Andreas A Giannopoulos, et al.
Nature Communications|September 27, 2024
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networksErtunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
Nature Communications|November 20, 2024
Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networksErtunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
The International Journal of Cardiovascular Imaging|January 10, 2019
Association between beta-adrenoceptor antagonist-induced sympathicolysis and severity of coronary artery disease as assessed by coronary computed tomography angiography (CCTA)Michael Messerli, Monika Maredziak, Susan Bengs, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 17, 2019
Heart rate reserve during pharmacological stress is a significant negative predictor of impaired coronary flow reserve in womenAchi Haider, Susan Bengs, Monika Maredziak, et al.
Pageof 4