The first paired POCUS-to-high-end ultrasound dataset is released and a cGAN baseline raises SSIM from 0.29 to 0.54 and PSNR from 19.16 dB to 22.41 dB on 1064 test pairs.
and Ecker, Alexander S
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MIRA is a new analytic score for conditional distribution accuracy derived from equal probability mass assignment, enabling Bayesian model comparison via direct posterior validation.
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A Paired Point-of-Care Ultrasound Dataset for Image Quality Enhancement and Benchmarking via a cGAN Baseline
The first paired POCUS-to-high-end ultrasound dataset is released and a cGAN baseline raises SSIM from 0.29 to 0.54 and PSNR from 19.16 dB to 22.41 dB on 1064 test pairs.
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MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
MIRA is a new analytic score for conditional distribution accuracy derived from equal probability mass assignment, enabling Bayesian model comparison via direct posterior validation.