136 citations · 147 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 11 cited
Review: Noise and artifact reduction for MRI using deep learning
Daiki Tamada
For several years, numerous attempts have been made to reduce noise and artifacts in MRI. Although there have been many successful methods to address these problems, practical impl…
cs.CV2018★ 136 cited
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver
Daiki Tamada, Marie-Luise Kromrey, Hiroshi Onishi +1
Purpose: To improve the quality of images obtained via dynamic contrast-enhanced MRI (DCE-MRI) that include motion artifacts and blurring using a deep learning approach. Methods: A…