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Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

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Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction., , , and . ISBI, page 1962-1965. IEEE, (2021)Assessing Robustness to Noise: Low-Cost Head CT Triage., , , , , , and . CoRR, (2020)Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023)., , , , , , and . (April 2023)Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images., , , and . ISBI, page 693-696. IEEE, (2021)Window-Level Is a Strong Denoising Surrogate., , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 457-466. Springer, (2021)Personalized CT Organ Dose Estimation from Scout Images., , , , , , and . MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 488-498. Springer, (2021)Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose., , , , , and . MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 634-643. Springer, (2022)