%0 Journal Article %1 journals/bmcmi/ZhaoPWLM22 %A Zhao, Yanjie %A Peng, Chengdong %A Wang, Shaofang %A Liang, Xinyue %A Meng, Xiaoyan %D 2022 %J BMC Medical Imaging %K dblp %N 1 %P 119 %T The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology. %U http://dblp.uni-trier.de/db/journals/bmcmi/bmcmi22.html#ZhaoPWLM22 %V 22

@article{journals/bmcmi/ZhaoPWLM22, added-at = {2022-07-28T00:00:00.000+0200}, author = {Zhao, Yanjie and Peng, Chengdong and Wang, Shaofang and Liang, Xinyue and Meng, Xiaoyan}, biburl = {https://www.bibsonomy.org/bibtex/23d45343b5c6e044d36a35a3a83052b53/dblp}, ee = {https://doi.org/10.1186/s12880-022-00842-1}, interhash = {1ed93a59955c266eeb4dbd3c5d828002}, intrahash = {3d45343b5c6e044d36a35a3a83052b53}, journal = {BMC Medical Imaging}, keywords = {dblp}, number = 1, pages = 119, timestamp = {2024-04-09T07:14:14.000+0200}, title = {The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology.}, url = {http://dblp.uni-trier.de/db/journals/bmcmi/bmcmi22.html#ZhaoPWLM22}, volume = 22, year = 2022 }