2 papers
physics.med-ph2022
Data Adaptive Regularization for Abdominal Quantitative Susceptibility Mapping
Julia V. Velikina, Ruiyang Zhao, Collin J. Buelo +3
Purpose: To improve repeatability and reproducibility across acquisition parameters and reduce bias in quantitative susceptibility mapping (QSM) of the liver, through development o…
physics.med-ph2018
Deep learning-based fully automatic segmentation of wrist cartilage in MR images
Ekaterina Brui, Aleksandr Y. Efimtcev, Vladimir A. Fokin +8
The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized…