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X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks

CVPR 2019 · 3D vision › Face and shape · approach: Generative textures for 3D humans · 253 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use biplanar rather than single-view X-rays (ablation)X2CT-CNN · LIDC-IDRI testPSNR (dB): 23.12($\pm$0.02) -> 27.29($\pm$0.04)Helped
Use biplanar rather than single-view X-rays (ablation)X2CT-GAN · LIDC-IDRI testPSNR (dB): 22.30($\pm$0.10) -> 26.19($\pm$0.13)Helped
Add adversarial training to the MSE-only X2CT-CNN (ablation)X2CT-GAN+B · LIDC-IDRI testPSNR (dB): 27.29($\pm$0.04) -> 26.19($\pm$0.13)Hurt
Add adversarial training to the MSE-only X2CT-CNN (ablation)X2CT-GAN+B · LIDC-IDRI testSSIM: 0.721($\pm$0.001) -> 0.656($\pm$0.008)Hurt
Add Connection-B to single-view XC (ablation)X2CT-CNN · LIDC-IDRI testPSNR (dB): 22.46($\pm$0.02) -> 23.12($\pm$0.02)Helped
Add Connection-B and Connection-C to biplanar XC (ablation)X2CT-CNN · LIDC-IDRI testPSNR (dB): 24.84($\pm$0.05) -> 27.29($\pm$0.04)Helped
Add reconstruction loss to adversarial loss (ablation)X2CT-GAN · LIDC-IDRI testPSNR (dB): 17.38($\pm$0.36) -> 25.82($\pm$0.08)Helped
Add projection loss to adversarial plus reconstruction loss (ablation)X2CT-GAN · LIDC-IDRI testPSNR (dB): 25.82($\pm$0.08) -> 26.05($\pm$0.02)Helped
Condition the discriminator on input X-rays (ablation)X2CT-GAN · LIDC-IDRI testSSIM: 0.645($\pm$0.002) -> 0.656($\pm$0.008)Helped
Use adversarial loss alone without reconstruction or projection constraints (ablation)X2CT-GAN · LIDC-IDRI testPSNR (dB): 17.38($\pm$0.36) vs 26.19($\pm$0.13)Hurt

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