265 citations · 433 across the 13 of their papers we have counts for
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cs.LG2026
Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning
Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3
Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning framew…
cs.CV2026
DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5
Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 m…