Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-informed Deep Learning.


Conference paper


Jochmann T, Schweser F, Küchler N, Jakimovski D, Zivadinov R, Haueisen J
16th International Workshop on Optimization and Inverse Problems in Electromagnetism, 2021

Cite

Cite

APA   Click to copy
T, J., F, S., N, K., D, J., R, Z., & J, H. (2021). Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-informed Deep Learning.


Chicago/Turabian   Click to copy
T, Jochmann, Schweser F, Küchler N, Jakimovski D, Zivadinov R, and Haueisen J. “Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-Informed Deep Learning.” 16th International Workshop on Optimization and Inverse Problems in Electromagnetism, 2021.


MLA   Click to copy
T, Jochmann, et al. Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-Informed Deep Learning. 2021.


BibTeX   Click to copy

@inproceedings{jochmann2021a,
  title = {Mapping Magnetic Susceptibility and Non-Susceptibility Sources from MRI Frequency Shift with Physics-informed Deep Learning.},
  year = {2021},
  series = {16th International Workshop on Optimization and Inverse Problems in Electromagnetism},
  author = {T, Jochmann and F, Schweser and N, Küchler and D, Jakimovski and R, Zivadinov and J, Haueisen}
}





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