%0 Journal Article %1 journals/jstsp/ChaOY20 %A Cha, Eunju %A Oh, Gyutaek %A Ye, Jong Chul %D 2020 %J IEEE J. Sel. Top. Signal Process. %K dblp %N 6 %P 1292-1305 %T Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. %U http://dblp.uni-trier.de/db/journals/jstsp/jstsp14.html#ChaOY20 %V 14

@article{journals/jstsp/ChaOY20, added-at = {2020-10-20T00:00:00.000+0200}, author = {Cha, Eunju and Oh, Gyutaek and Ye, Jong Chul}, biburl = {https://www.bibsonomy.org/bibtex/28b3b907869570d1e851b4dc2b4f94378/dblp}, ee = {https://doi.org/10.1109/JSTSP.2020.2982777}, interhash = {dfa2eece6ae0a2cfded15bb240a83ae3}, intrahash = {8b3b907869570d1e851b4dc2b4f94378}, journal = {IEEE J. Sel. Top. Signal Process.}, keywords = {dblp}, number = 6, pages = {1292-1305}, timestamp = {2020-10-21T11:36:59.000+0200}, title = {Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.}, url = {http://dblp.uni-trier.de/db/journals/jstsp/jstsp14.html#ChaOY20}, volume = 14, year = 2020 }