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Max Lutz
Max Lutz
PhD Student @ PTB Berlin, Germany
在 ptb.de 的电子邮件经过验证
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Rapid estimation of 2D relative B 1+‐maps from localizers in the human heart at 7T using deep learning
F Krueger, CS Aigner, K Hammernik, S Dietrich, M Lutz, J Schulz‐Menger, ...
Magnetic Resonance in Medicine 89 (3), 1002-1015, 2023
112023
Low power free-breathing absolute B+ 1 mapping in the human body at 7T using magnetic resonance fingerprinting
M Lutz, CS Aigner, S Dietrich, S Flassbeck, CGF Gatefait, C Kolbitsch, ...
Proceedings Annual Meeting ISMRM 386, 2022
22022
Respiration robust universal pulses in the human heart at 7T for shallow and deep breathing
CS Aigner, S Dietrich, F Krüger, M Lutz, S Schmitter
In Proceedings of the 30th Annual Meeting of ISMRM, 0
2
Tailored and universal parallel transmit broadband pulses for homogeneous 3D excitation of the human heart at 7T
CS Aigner, S Dietrich‐Conzelmann, M Lutz, F Krüger, S Schmitter
Magnetic resonance in medicine 92 (2), 730-740, 2024
12024
MRF-based channel-wise absolute B mapping at low RF power in the human abdomen at 7T
M Lutz, CS Aigner, S Flassbeck, F Krüger, CGF Gatefait, T Schaeffter, ...
12023
B1‐MRF: Large dynamic range MRF‐based absolute mapping in the human body at 7T
M Lutz, CS Aigner, S Flassbeck, F Krueger, CGF Gatefait, C Kolbitsch, ...
Magnetic Resonance in Medicine, 2024
2024
B1-MRF: Large dynamic range MRF-based absolute [Formula: see text] mapping in the human body at 7T
M Lutz, CS Aigner, S Flassbeck, F Krueger, CGF Gatefait, C Kolbitsch, ...
Magnetic resonance in medicine, 0
Rapid multi-slice whole-brain B-mapping at 7T using deep learning
F Krueger, CS Aigner, M Lutz, LT Riemann, K Degenhardt, B Ittermann, ...
Reproducibility and variability of tailored and universal nonselective excitation pulses at 7T for human body imaging: Re-scans after one year
CS Aigner, JP Bassenge, S Dietrich, M Lutz, F Krüger, S Schmitter
Towards frequency robust tailored and universal pulses in the human heart at 7T
CS Aigner, S Dietrich, F Krüger, M Lutz, S Schmitter
Design of slice-selective RF pulses using deep learning
F Krüger, M Lutz, CS Aigner, S Schmitter
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