2026
An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images
This work introduces an unsupervised and interpretable QA framework for multi-contrast MR images that quantifies artifact severity, and employs an unsupervised contrastive learning approach to train the model without requiring manual labels or preprocessing.
Savannah P. Hays, Lianrui Zuo, Blake E. Dewey et al.
· Proceedings of machine learn... · 2 citations