Perlman, OrZhu, BoZaiss, MoritzRosen, MatthewFarrar, Christian2022-05-132022-01-28Perlman, Or, Bo Zhu, Moritz Zaiss, Matthew Rosen, Christian Farrar. "An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)." Magnetic Resonance in Medicine 87, no. 6 (2022): 2792-2810. DOI: 10.1002/mrm.291730740-31941522-2594https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37371620The work was supported by the US National Institutes of Health Grants R01-CA203873, R01-EB031008 and P41-RR14075. The research was supported by a CERN openlab cloud computing grant. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 836752 (OncoViroMRI). This paper reflects only the author’s view and the European Research Executive Agency is not responsible for any use that may be made of the information it contains.en-USRadiology, Nuclear Medicine and imagingJournal Article2022-05-1310.1002/mrm.29173