%0 Journal Article %1 journals/spm/ZhuCCZYL23 %A Zhu, Yanjie %A Cheng, Jing %A Cui, Zhuo-Xu %A Zhu, Qingyong %A Ying, Leslie %A Liang, Dong %D 2023 %J IEEE Signal Process. Mag. %K dblp %N 2 %P 116-128 %T Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. %U http://dblp.uni-trier.de/db/journals/spm/spm40.html#ZhuCCZYL23 %V 40

@article{journals/spm/ZhuCCZYL23, added-at = {2023-03-03T00:00:00.000+0100}, author = {Zhu, Yanjie and Cheng, Jing and Cui, Zhuo-Xu and Zhu, Qingyong and Ying, Leslie and Liang, Dong}, biburl = {https://www.bibsonomy.org/bibtex/2f1a3e3b5a66dcd1cc43c7ef9fa4eb68f/dblp}, ee = {https://doi.org/10.1109/MSP.2023.3236483}, interhash = {9d87994d9375fe9882d029ef5dbf3d96}, intrahash = {f1a3e3b5a66dcd1cc43c7ef9fa4eb68f}, journal = {IEEE Signal Process. Mag.}, keywords = {dblp}, month = {March}, number = 2, pages = {116-128}, timestamp = {2024-04-09T02:30:42.000+0200}, title = {Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.}, url = {http://dblp.uni-trier.de/db/journals/spm/spm40.html#ZhuCCZYL23}, volume = 40, year = 2023 }