1 code implementation • 27 Aug 2022 • Yamin Arefeen, Junshen Xu, Molin Zhang, Zijing Dong, Fuyixue Wang, Jacob White, Berkin Bilgic, Elfar Adalsteinsson
Purpose: Training auto-encoders on simulated signal evolution and inserting the decoder into the forward model improves reconstructions through more compact, Bloch-equation-based representations of signal in comparison to linear subspaces.
no code implementations • 10 Mar 2022 • Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov
Image corruption by motion artifacts is an ingrained problem in Magnetic Resonance Imaging (MRI).
