S2DNets corrects MRI bias fields with two self-supervised networks trained by structural and smoothness constraints, reporting better scores than prior methods on most comparisons.
K., Agrawal, S., Panda, R., Dora, L., Abraham, A.: Intensity inhomo- geneity correction in brain MRI: a systematic review of techniques, current trends and future challenges
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
S2DNets corrects MRI bias fields with two self-supervised networks trained by structural and smoothness constraints, reporting better scores than prior methods on most comparisons.