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Description: This data and code are available to reproduce the results of the paper Abbasi‐Rad, Shahrokh, Kieran O’Brien, Samuel Kelly, Viktor Vegh, Anders Rodell, Yasvir Tesiram, Jin Jin, Markus Barth, and Steffen Bollmann. ‘Improving FLAIR SAR Efficiency at 7T by Adaptive Tailoring of Adiabatic Pulse Power through Deep Learning Estimation’. Magnetic Resonance in Medicine n/a, no. n/a (2020). https://doi.org/10.1002/mrm.28590. (preprint: Abbasi-Rad, S., O’Brien, K., Kelly, S., Vegh, V., Rodell, A., Tesiram, Y., Jin, J., Barth, M., Bollmann, S., 2019. Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks. arXiv:1911.08118 [physics].)

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