Michael Messerli - Concepedia

Author

Michael Messerli

Also Known As

Aju P. Pazhenkottil, M M Messerli, M Messerli, M. Messerli, Messerli, Michael Simon, Michael Messerli, Michael Simon Messerli

123

Publications

2.2K

Citations

H-Index

Concepts

All Affiliations

University Hospital of Zurich University of Zurich Kantonsspital St. Gallen University of St.Gallen Kantonsspital Baden

About

Michael Messerli is an author at University Hospital of Zurich specializing in radiology, medical imaging, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	14	16	461
2	Health Sciences	12	13	596
3	Engineering	6	6	421
4	Arts	1	1	30
5	Management	1	1	30

Michael Messerli

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy Dominik C. Benz, Georgios Benetos, Georgios Rampidis, Journal of cardiovascular computed tomography Computed TomographyImage ReconstructionDeep-learning Image ReconstructionImage AnalysisMachine Learning	2020	163
Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks – Initial results Moritz Schwyzer, Daniela A. Ferraro, Urs J. Muehlematter, Lung Cancer Deep Neural NetworksEngineeringMedical ImagingMedical Image ComputingBiomedical Imaging	2018	117
Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose – a prospective intra-individual comparative study Michael Messerli, Thomas Kluckert, Meinhard Knitel, European Radiology Computed TomographyHealth SciencesMedical ImagingPulmonary Nodule DetectionCt Scan	2017	89
Diagnostic performance of 68Ga-PSMA-11 PET/MRI-guided biopsy in patients with suspected prostate cancer: a prospective single-center study Daniela A. Ferraro, Anton S. Becker, Benedikt Kranzbühler, European Journal of Nuclear Medicine and Molecular Imaging	2021	83
First Performance Evaluation of an Artificial Intelligence-Based Computer-Aided Detection System for Pulmonary Nodule Evaluation in Dual-Source Photon-Counting Detector CT at Different Low-Dose Levels Lisa Jungblut, Christian Blüthgen, Malgorzata Polacin, Investigative Radiology	2021	72
Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction Fabian Laumer, Davide Di Vece, Victoria L. Cammann, JAMA Cardiology	2022	68
Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors Michael Messerli, Paul Stolzmann, Michèle Egger-Sigg, EJNMMI Physics	2018	66
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography Dominik C. Benz, Sara Ersözlü, François L. A. Mojon, European Radiology	2021	65
Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance Moritz Schwyzer, Katharina Martini, Dominik C. Benz, European Radiology Artificial IntelligenceEngineeringMedical ImagingMultiple Pulmonary NoduleBiomedical Imaging	2019	63
68Ga-PSMA-11 PET has the potential to improve patient selection for extended pelvic lymph node dissection in intermediate to high-risk prostate cancer Daniela A. Ferraro, Urs J. Muehlematter, Helena Garcia Schüler, European Journal of Nuclear Medicine and Molecular Imaging 68Ga-psma-11 PetUrologySurgical OncologyHigh-risk Prostate CancerGenitourinary Cancer	2019	59

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