A Fourier transformation based convolutional neural network layer for physics-informed deep learning of magnetic dipole inversion


Conference paper


Küchler N, Haueisen J, Schweser F, Jochmann T
German Society for Biomedical Engineering , 2020, p1570638759

Cite

Cite

APA   Click to copy
N, K., J, H., F, S., & T, J. (2020). A Fourier transformation based convolutional neural network layer for physics-informed deep learning of magnetic dipole inversion (p. p1570638759).


Chicago/Turabian   Click to copy
N, Küchler, Haueisen J, Schweser F, and Jochmann T. “A Fourier Transformation Based Convolutional Neural Network Layer for Physics-Informed Deep Learning of Magnetic Dipole Inversion.” In , p1570638759. German Society for Biomedical Engineering , 2020.


MLA   Click to copy
N, Küchler, et al. A Fourier Transformation Based Convolutional Neural Network Layer for Physics-Informed Deep Learning of Magnetic Dipole Inversion. 2020, p. p1570638759.


BibTeX   Click to copy

@inproceedings{kuechler2020a,
  title = {A Fourier transformation based convolutional neural network layer for physics-informed deep learning of magnetic dipole inversion},
  year = {2020},
  pages = {p1570638759},
  series = {German Society for Biomedical Engineering },
  author = {N, Küchler and J, Haueisen and F, Schweser and T, Jochmann}
}



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