Radiology Verification of image quality improvement by deep learning reconstruction to 1.5 T MRI in T2-weighted images of the prostate gland. June 8, 2024
Radiology Usefulness of deep learning-based noise reduction for 1.5 T MRI brain images. September 18, 2022
Radiology Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image Quality. September 12, 2021