Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

31 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Diagnostic Accuracy of Multiparametric MRI versus 68Ga-PSMA-11 PET/MRI for Extracapsular Extension and Seminal Vesicle Invasion in Patients with Prostate Cancer.
Muehlematter UJ, Burger IA, Becker AS, Schawkat K, Hötker AM, Reiner CS, Müller J, Rupp NJ, Rüschoff JH, Eberli D, Donati OF. Muehlematter UJ, et al. Among authors: schawkat k. Radiology. 2019 Nov;293(2):350-358. doi: 10.1148/radiol.2019190687. Epub 2019 Sep 10. Radiology. 2019. PMID: 31502937 Free article.
Role of intravoxel incoherent motion parameters in gastroesophageal cancer: relationship with 18F-FDG-positron emission tomography, computed tomography perfusion and magnetic resonance perfusion imaging parameters.
Schawkat K, Sah BR, Ter Voert EE, Delso G, Wurnig M, Becker AS, Leibl S, Schneider PM, Reiner CS, Huellner MW, Veit-Haibach P. Schawkat K, et al. Q J Nucl Med Mol Imaging. 2021 Jun;65(2):178-186. doi: 10.23736/S1824-4785.19.03153-4. Epub 2019 Sep 5. Q J Nucl Med Mol Imaging. 2021. PMID: 31496202
Preoperative Evaluation of Pancreatic Fibrosis and Lipomatosis: Correlation of Magnetic Resonance Findings With Histology Using Magnetization Transfer Imaging and Multigradient Echo Magnetic Resonance Imaging.
Schawkat K, Eshmuminov D, Lenggenhager D, Endhardt K, Vrugt B, Boss A, Petrowsky H, Clavien PA, Reiner CS. Schawkat K, et al. Invest Radiol. 2018 Dec;53(12):720-727. doi: 10.1097/RLI.0000000000000496. Invest Radiol. 2018. PMID: 30247172 Free article.
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application.
Hsu TH, Schawkat K, Berkowitz SJ, Wei JL, Makoyeva A, Legare K, DeCicco C, Paez SN, Wu JSH, Szolovits P, Kikinis R, Moser AJ, Goehler A. Hsu TH, et al. Among authors: schawkat k. Eur J Radiol. 2021 Sep;142:109834. doi: 10.1016/j.ejrad.2021.109834. Epub 2021 Jun 24. Eur J Radiol. 2021. PMID: 34252866
31 results