Beyond qMRI: Biological tissue properties forom single-subject unsupervised deep learning with theoretical signal constraints


Conference paper


Benslimane I, Grabner G, Hametner S, Jochmann T, Zivadinov R, Schweser F
Proc Intl Soc Mag Reson Med, 2022, p. 370

Cite

Cite

APA
I, B., G, G., S, H., T, J., R, Z., & F, S. (2022). Beyond qMRI: Biological tissue properties forom single-subject unsupervised deep learning with theoretical signal constraints (p. 370).

Chicago/Turabian
I, Benslimane, Grabner G, Hametner S, Jochmann T, Zivadinov R, and Schweser F. “Beyond QMRI: Biological Tissue Properties Forom Single-Subject Unsupervised Deep Learning with Theoretical Signal Constraints.” In , 370. Proc Intl Soc Mag Reson Med, 2022.

MLA
I, Benslimane, et al. Beyond QMRI: Biological Tissue Properties Forom Single-Subject Unsupervised Deep Learning with Theoretical Signal Constraints. 2022, p. 370.