October 19, 2023

Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value

https://www.ejradiology.com/article/S0720-048X(23)00463-1/fulltext Published Date: 2023-10  

Read more

July 21, 2023

Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data

https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.29265 Published Date: 2022-Mar

Read more

July 11, 2023

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series

https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hoppe17-DLF.pdf Published Date: 2017-Jan

Read more