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cs.CV2026
SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
Hongxu Yang, Levente Lippenszky, Edina Timko +1
Defective and inconsistent responses in CT detectors can cause ring and streak artifacts in the reconstructed images, making them unusable for clinical purposes. In recent years, s…
cs.CV2026
Low performing pixel correction in computed tomography with unrolled network and synthetic data training
Hongxu Yang, Levente Lippenszky, Edina Timko +2
Low performance pixels (LPP) in Computed Tomography (CT) detectors would lead to ring and streak artifacts in the reconstructed images, making them clinically unusable. In recent y…
cs.CV2024
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation
Elay Dahan, Hedda Cohen Indelman, Angeles M. Perez-Agosto +4
The use of synthetic images in medical imaging Artificial Intelligence (AI) solutions has been shown to be beneficial in addressing the limited availability of diverse, unbiased, a…