%0 Journal Article %1 zhang2022multiparametric %A Zhang, Cecilia %A Schwartz, Martin %A Küstner, Thomas %A Martirosian, Petros %A Seith, Ferdinand %D 2022 %I Thieme %J RöFo %K %N 09 %P 983-992 %R 10.1055/a-1775-8633 %T Multiparametric Functional MRI of the Kidney : Current State and Future Trends with Deep Learning Approaches %V 194

@article{zhang2022multiparametric, added-at = {2023-08-31T15:18:03.000+0200}, affiliation = {Zhang, C (Corresponding Author), Univ Klinikum Tubingen, Radiol, Hoppe Seyler Str 3, D-72076 Tubingen, Germany. Zhang, Cecilia; Schwartz, Martin; Seith, Ferdinand, Univ Tubingen Hosp, Dept Diagnost & Intervent Radiol, Tubingen, Germany. Schwartz, Martin, Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Kuestner, Thomas, Univ Tubingen Hosp, Dept Diagnost & Intervent Radiol, Med Image & Data Anal MIDAS Lab, Tubingen, Germany. Martirosian, Petros, Univ Tubingen Hosp, Sect Expt Radiol, Tubingen, Germany.}, author = {Zhang, Cecilia and Schwartz, Martin and Küstner, Thomas and Martirosian, Petros and Seith, Ferdinand}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25106462dd10de729d618ceaa0964d8e4/puma-wartung}, doi = {10.1055/a-1775-8633}, interhash = {5a43a288256b2e1e5c08a652408ea580}, intrahash = {5106462dd10de729d618ceaa0964d8e4}, issn = {{1438-9029} and {1438-9010}}, journal = {RöFo}, keywords = {}, language = {eng}, number = 09, pages = {983-992}, publisher = {Thieme}, research-areas = {Radiology, Nuclear Medicine & Medical Imaging}, timestamp = {2023-08-31T13:18:03.000+0200}, title = {Multiparametric Functional MRI of the Kidney : Current State and Future Trends with Deep Learning Approaches}, unique-id = {WOS:000783874000003}, volume = 194, year = 2022 }