Zaiss, M Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society; Max Planck Institute for Biological Cybernetics, Max Planck Society;
https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.29173 (Verlagsversion)
Perlman, O., Zhu, B., Zaiss, M., Rosen, M., & Farrar, C. (2022). 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(6), 2792-2810. doi:10.1002/mrm.29173.