108 citations · 108 across the 3 of their papers we have counts for
3 papers
Medical Foundation Model Features as Perceptual Loss for Brain MRI Contrast Dose Simulation
Changsheng Fang, Dayang Wang, T. Campbell Arnold +2
Perceptual losses are widely used in medical image synthesis because they encourage agreement in high-level structure beyond voxel-wise intensity similarity. In practice, most perc…
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk +1
Deep learning (DL) based contrast dose reduction and elimination in MRI imaging is gaining traction, given the detrimental effects of Gadolinium-based Contrast Agents (GBCAs). Thes…
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu, Srivathsa Pasumarthi, Ben Duffy +3
Multi-contrast magnetic resonance imaging (MRI) is widely used in clinical practice as each contrast provides complementary information. However, the availability of each imaging c…