Martin Krämer
Martin Krämer
Ukendt tilknytning
Verificeret mail på med.uni-jena.de
Citeret af
Citeret af
3D printing of MRI compatible components: Why every MRI research group should have a low-budget 3D printer
KH Herrmann, C Gärtner, D Güllmar, M Krämer, JR Reichenbach
Medical engineering & physics 36 (10), 1373-1380, 2014
Time efficient 3D radial UTE sampling with fully automatic delay compensation on a clinical 3T MR scanner
KH Herrmann, M Krämer, JR Reichenbach
PLoS One 11 (3), e0150371, 2016
Cardiac 4D phase-contrast CMR at 9.4 T using self-gated ultra-short echo time (UTE) imaging
M Krämer, AG Motaal, KH Herrmann, B Löffler, JR Reichenbach, ...
Journal of Cardiovascular Magnetic Resonance 19 (1), 39, 2016
Retrospective reconstruction of cardiac cine images from golden‐ratio radial MRI using one‐dimensional navigators
M Krämer, KH Herrmann, J Biermann, JR Reichenbach
Journal of Magnetic Resonance Imaging 40 (2), 413-422, 2014
Ultrashort echo time MRI of the lung in children and adolescents: comparison with non-enhanced computed tomography and standard post-contrast T1w MRI sequences
DM Renz, KH Herrmann, M Kraemer, J Boettcher, M Waginger, ...
European radiology, 1-10, 2022
T1 and T2* mapping of the human quadriceps and patellar tendons using ultra-short echo-time (UTE) imaging and bivariate relaxation parameter-based volumetric visualization
M Krämer, MB Maggioni, NM Brisson, S Zachow, U Teichgräber, ...
Magnetic resonance imaging 63, 29-36, 2019
Intrinsic correction of system delays for radial magnetic resonance imaging
M Krämer, J Biermann, JR Reichenbach
Magnetic Resonance Imaging 33 (4), 491-496, 2015
Self‐gated cardiac Cine MRI of the rat on a clinical 3 T MRI system
M Krämer, KH Herrmann, J Biermann, S Freiburger, M Schwarzer, ...
NMR in Biomedicine 28 (2), 162-167, 2015
Functional magnetic resonance imaging using PROPELLER‐EPI
M Krämer, TH Jochimsen, JR Reichenbach
Magnetic Resonance in Medicine 68 (1), 140-151, 2012
Segmentation and visualization of the human cranial bone by T2* approximation using ultra-short echo time (UTE) magnetic resonance imaging
M Krämer, B Herzau, JR Reichenbach
Zeitschrift für Medizinische Physik 30 (1), 51-59, 2020
Comparison of metabolic adaptations between endurance‐and sprint‐trained athletes after an exhaustive exercise in two different calf muscles using a multi‐slice 31P‐MR …
K Moll, A Gussew, M Nisser, S Derlien, M Krämer, JR Reichenbach
NMR in Biomedicine 31 (4), e3889, 2018
Difference optimization: automatic correction of relative frequency and phase for mean non-edited and edited GABA 1H MEGA-PRESS spectra
M Cleve, M Krämer, A Gussew, JR Reichenbach
Journal of Magnetic Resonance 279, 16-21, 2017
Conductivity mapping using ultrashort echo time (UTE) imaging
F Schweser, L Huang, KH Herrmann, M Krämer, A Deistung, ...
Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, UT, 4190, 2013
High resolution T2*-weighted magnetic resonance imaging at 3 Tesla using PROPELLER-EPI
M Krämer, JR Reichenbach
Zeitschrift für Medizinische Physik 24 (2), 164-173, 2014
Preliminary results of abdominal simultaneous multi-slice accelerated diffusion-weighted imaging with motion-correction in patients with cystic fibrosis and impaired compliance
K Glutig, PC Krüger, T Oberreuther, MD Nickel, U Teichgräber, M Lorenz, ...
Abdominal Radiology 47 (8), 2783-2794, 2022
Optimized gradient spoiling of UTE VFA-AFI sequences for robust T1 estimation with B1-field correction
MB Maggioni, M Krämer, JR Reichenbach
Magnetic Resonance Imaging 82, 1-8, 2021
Der Volksaufstand vom 17
M Krämer
Juni 1953 und sein politisches Echo in der, 1953
Perfusion and T2 Relaxation Time as Predictors of Severity and Outcome in Sepsis‐Associated Acute Kidney Injury: A Preclinical MRI Study
WT Zhao, KH Herrmann, R Sibgatulin, A Nahardani, M Krämer, ...
Journal of Magnetic Resonance Imaging 58 (6), 1954-1963, 2023
Immersion of Achilles tendon in phosphate‐buffered saline influences T1 and T2* relaxation times: An ex vivo study
M Krämer, MR Kollert, NM Brisson, MB Maggioni, GN Duda, ...
NMR in Biomedicine 33 (6), e4288, 2020
Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: A retrospective university network study
M Krämer, M Ingwersen, U Teichgräber, F Güttler
European Journal of Radiology 163, 110827, 2023
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