M. Vinding

activity

20202022

most citedDeepControl: 2D RF pulses facilitating

B_{1}^{+}

inhomogeneity and

B_{0}

off-resonance compensation in vivo at 7T

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2022

Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer

Mads Sloth Vinding, Torben Ellegaard Lund

Advanced radio-frequency pulse design used in magnetic resonance imaging has recently been demonstrated with deep learning of (convolutional) neural networks and reinforcement lear…

physics.med-ph2021

Optimal control gradient precision trade-offs: application to fast generation of DeepControl libraries for MRI

Mads Sloth Vinding, David L. Goodwin, Ilya Kuprov +1

We have recently demonstrated supervised deep learning methods for rapid generation of radiofrequency pulses in magnetic resonance imaging (https://doi.org/10.1002/mrm.27740, https…

physics.med-ph2020★ 2 cited

DeepControl: 2D RF pulses facilitating $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation in vivo at 7T

Mads Sloth Vinding, Christoph Stefan Aigner, Sebastian Schmitter +1

Purpose: Rapid 2D RF pulse design with subject specific $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation at 7 T predicted from convolutional neural networks is presented.…

Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer

Optimal control gradient precision trade-offs: application to fast generation of DeepControl libraries for MRI

DeepControl: 2D RF pulses facilitating B1+​ inhomogeneity and B0​ off-resonance compensation in vivo at 7T

DeepControl: 2D RF pulses facilitating $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation in vivo at 7T