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13OCT 2023
AG Zaiss
New paper: Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T
Congratulations to Junaid Rajput! The paper “Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T“ by Junaid Rajput et al. was recently accepted for publication and is now available online. Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T | SpringerLink Junaids work solves the B1 inhomogeneity issue of 7T MRI: during training […]Congratulations to Junaid Rajput! The paper “Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T“ by Junaid Rajput et al. was recently accepted for publication and is now available online. Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T | SpringerLink Junaids work solves the B1 inhomogeneity issue of 7T MRI: during training […]
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29SEP 2023
AG Nagel
New paper: Multi-echo–based fat artifact correction for CEST MRI at 7 T
Congratulations to Katharina Tkotz! The paper “Multi-echo–based fat artifact correction for CEST MRI at 7 T“ by Katharina Tkotz et al. was recently accepted for publication by Magnetic Resonance in Medicine and is now available online. https://onlinelibrary.wiley.com/doi/10.1002/mrm.29863
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21SEP 2023
AG Laun
3rd place at the Gorter Award 2023
At the 25th annual meeting of the German Section of the ISMRM in Berlin, the Gorter Award was again awarded to young scientists for their outstanding scientific work in the field of magnetic resonance. Dr. Jannis Hanspach from the research group Laun won the third place, endowed with 250€. He was awarded for his paper […]
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04AUG 2023
AG Laun
New Paper: Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver
Congratulations to Tobit Führes! The paper „Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver“ by Tobit Führes et al. was recently accepted for publication by Zeitschrift für Medizinische Physik and is now available online. https://www.sciencedirect.com/science/article/pii/S0939388923000879
Read more about New Paper: Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver
28JUN 2023
AG Laun
New DFG Research Group: “Fast mapping of quantitative and metabolic MRI-fingerprints in ultra-high magnetic field”
The MR physics research groups led by Prof. Armin Nagel, Prof. Frederik Laun and Prof. Moritz Zaiss are funded within a research group by the German Research Foundation (DFG) for the next 4 years! The goal is to develop a “magnetic resonance biosignature” at 7 Tesla that will provide information beyond anatomical imaging. This includes, […]
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25JUN 2023
AG Zaiss
New paper: MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2-induced blurring in spin echo sequences
Congratulations to Hoai Nam Dang! The paper „MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2-induced blurring in spin echo sequences“ by Hoai Nam Dang et al. was recently accepted for publication by Magnetic Resonance in Medicine and is now available online. Most interestingly, MR-zero generates sharpest point […]
Read more about New paper: MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2-induced blurring in spin echo sequences