Great news! Michael Hock's paper https://t.co/iHeIZKF6ON is a #TopDownloadedArticle, i.e. under the top 10 downloaded papers 2019-2020 in that journal. Thanks to Michael and colleagues from #Wuerzburg and #ColumbiaNewYork
We are excited: after years of work, our first #cardiac#ultrahighfield (7T) #MRI study in humans is out:
#PLOSONE: On the way to routine cardiac MRI at 7 Tesla - a pilot study on consecutive 84 examinations https://t.co/Vm4bJVvVHC
Markus Ankenbrand's and David Lohr's paper on deep-learning-based image analysis of cardiac ultrahighfield MRI is out:
Deep learning‐based cardiac cine segmentation: Transfer learning application to 7T ultrahigh‐field MRI https://t.co/rg3FQyyVFJ
Save the date: Next Tuesday at 12:50 UT (14:50 Berlin time) at the virtual #ISMRM20 meeting Laura Schreiber will give a plenary talk on interdisciplinary collaboration entitled "Learning Each Other's Language: Sometimes We Literally Speak Two Languages" https://t.co/idVKUVuV8U
Recent manuscript by our head of the RF coil lab, Dr. Ibrahim Elabyad, on innovative parallel transmit technology for #cardiacimaging using #MRI at #7Tesla: https://t.co/UA6Bg9qXnW
Latest manuscript by our former PhD student Johannes Martens on systematic errors in quantitative cardiac perfusion #MRI is printed now: https://t.co/I6yC3SfRDO . These simulation were instrumental for our earlier contribution to Nature Reviews Cardiology https://t.co/OR6Rsr5sFn.