SOJU-Net—Denoising MR phase images with physics-informed deep learning using artificial Rician noise augmentation

Conference paper

Jochmann T, Kuechler N, Haueisen J, Schweser F
Proc Intl Soc Mag Reson Med, 2020, p. 3196

Cite

APA Click to copy
T, J., N, K., J, H., & F, S. (2020). SOJU-Net—Denoising MR phase images with physics-informed deep learning using artificial Rician noise augmentation (p. 3196).

Chicago/Turabian Click to copy
T, Jochmann, Kuechler N, Haueisen J, and Schweser F. “SOJU-Net—Denoising MR Phase Images with Physics-Informed Deep Learning Using Artificial Rician Noise Augmentation.” In , 3196. Proc Intl Soc Mag Reson Med, 2020.

MLA Click to copy
T, Jochmann, et al. SOJU-Net—Denoising MR Phase Images with Physics-Informed Deep Learning Using Artificial Rician Noise Augmentation. 2020, p. 3196.

BibTeX Click to copy

@inproceedings{jochmann2020a,
  title = {SOJU-Net—Denoising MR phase images with physics-informed deep learning using artificial Rician noise augmentation},
  year = {2020},
  pages = {3196},
  series = {Proc Intl Soc Mag Reson Med},
  author = {T, Jochmann and N, Kuechler and J, Haueisen and F, Schweser}
}