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eess.IV2021★ 37 cited
Deep reinforcement learning-designed radiofrequency waveform in MRI
Dongmyung Shin, Younghoon Kim, Chungseok Oh +4
Carefully engineered radiofrequency (RF) pulses play a key role in a number of systems such as mobile phone, radar, and magnetic resonance imaging. The design of an RF waveform, ho…
eess.IV2021
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
Juhung Park, Woojin Jung, Eun-Jung Choi +4
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, the inputs of the networks were designed for a specific diffusion gradient schem…