U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network that Disentangles MRI Phase Contrast Mechanisms.

Conference

Jochmann T, Haueisen J, Zivadinov R, Schweser F
Proc Intl Soc Mag Reson Med, Montreal, QC, Canada, 2019, p. 320

Cite

APA Click to copy
T, J., J, H., R, Z., & F, S. (2019). U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network that Disentangles MRI Phase Contrast Mechanisms. (p. 320). Montreal, QC, Canada.

Chicago/Turabian Click to copy
T, Jochmann, Haueisen J, Zivadinov R, and Schweser F. “U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network That Disentangles MRI Phase Contrast Mechanisms. .” In , 320. Proc Intl Soc Mag Reson Med. Montreal, QC, Canada, 2019.

MLA Click to copy
T, Jochmann, et al. U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network That Disentangles MRI Phase Contrast Mechanisms. . 2019, p. 320.

BibTeX Click to copy

@conference{jochmann2019a,
  title = {U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network that Disentangles MRI Phase Contrast Mechanisms. },
  year = {2019},
  address = {Montreal, QC, Canada},
  pages = {320},
  series = {Proc Intl Soc Mag Reson Med},
  author = {T, Jochmann and J, Haueisen and R, Zivadinov and F, Schweser}
}