58 citations · 59 across the 2 of their papers we have counts for
2 papers
physics.med-ph2020★ 58 cited
MRzero -- Fully automated discovery of MRI sequences using supervised learning
Alexander Loktyushin, Kai Herz, Nam Dang +7
Purpose: A supervised learning framework is proposed to automatically generate MR sequences and corresponding reconstruction based on the target contrast of interest. Combined with…
physics.med-ph2018★ 1 cited
DeepCEST: 9.4 T Chemical Exchange Saturation Transfer MRI contrast predicted from 3 T data - a proof of concept study
Moritz Zaiss, Anagha Deshmane, Mark Schuppert +6
Purpose: Separation of different CEST signals in the Z-spectrum is a challenge especially at low field strengths where amide, amine, and NOE peaks coalesce with each other or with…