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cs.CV2026
Improving Medical Image Generative Models with Fréchet Distance Loss
Andrew Marshall, Xuanang Xu, Xiaoran Zhang +3
Diffusion generative models have demonstrated immense potential for synthetic medical image generation. However, these models often struggle to capture complex morphological charac…
eess.IV2026
Subject-Specific Low-Field MRI Synthesis via a Neural Operator
Ziqi Gao, Nicha Dvornek, Xiaoran Zhang +3
Low-field (LF) magnetic resonance imaging (MRI) improves accessibility and reduces costs but generally has lower signal-to-noise ratios and degraded contrast compared to high field…