%0 Journal Article %1 kustner2016image %A Küstner, Thomas %A Würslin, Christian %A Gatidis, S. %A Martirosian, P. %A Nikolaou, K. %A Schwenzer, Nf %A Schick, F. %A Yang, Bin %A Schmidt, H. %D 2016 %I IEEE %J IEEE transactions on medical imaging %K %N 11 %P 2447-2458 %R 10.1109/TMI.2016.2577642 %T MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo %V 35

@article{kustner2016image, added-at = {2023-08-31T16:20:00.000+0200}, affiliation = {Kustner, T (Reprint Author), Univ Hosp Tubingen, Dept Diagnost & Intervent Radiol, Dept Radiol, D-72076 Tubingen, Germany. Kuestner, T.; Gatidis, S.; Nikolaou, K.; Schwenzer, Nf; Schmidt, H., Univ Hosp Tubingen, Dept Diagnost & Intervent Radiol, Dept Radiol, D-72076 Tubingen, Germany. Kuestner, T.; Wuerslin, C., Univ Stuttgart, Inst Signal Proc & Syst Theory, D-70550 Stuttgart, Germany. Wuerslin, C., Stanford Univ, Dept Radiol, Stanford, CA 94305 USA. Martirosian, P.; Schick, F., Univ Hosp Tubingen, Sect Expt Radiol, Dept Radiol, D-72076 Tubingen, Germany. Yang, B., Univ Stuttgart, Inst Signal Proc & Syst Theory, D-70550 Stuttgart, Germany.}, author = {Küstner, Thomas and Würslin, Christian and Gatidis, S. and Martirosian, P. and Nikolaou, K. and Schwenzer, Nf and Schick, F. and Yang, Bin and Schmidt, H.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2133bf4ed81c4bfeb7d441a55c6b7ad53/puma-wartung}, doi = {10.1109/TMI.2016.2577642}, interhash = {0a5bbbd51b9f1b13a18736e96126fc98}, intrahash = {133bf4ed81c4bfeb7d441a55c6b7ad53}, issn = {{0278-0062} and {1558-254X}}, journal = {IEEE transactions on medical imaging}, keywords = {}, language = {eng}, number = 11, pages = {2447-2458}, publisher = {IEEE}, research-areas = {Computer Science; Engineering; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging}, timestamp = {2023-08-31T14:20:00.000+0200}, title = {MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo}, unique-id = {ISI:000388503400008}, volume = 35, year = 2016 }