Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data.
Saved in:
| Title: | Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data. |
|---|---|
| Authors: | Yaman B; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Hosseini SAH; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Moeller S; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Ellermann J; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Uğurbil K; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Akçakaya M; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA. |
| Source: | Magnetic resonance in medicine [Magn Reson Med] 2020 Dec; Vol. 84 (6), pp. 3172-3191. Date of Electronic Publication: 2020 Jul 02. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1522-2594 |
|---|---|
| DOI: | 10.1002/mrm.28378 |
