SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training | ScienceToStartup | ScienceToStartup

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References (29)

[1]

Low performing pixel correction in computed tomography with unrolled network and synthetic data training

2026Hongxu Yang, Levente Lippenszky et al.

[2]

Display Field-of-View Agnostic Robust Ct Kernel Synthesis Using Model-Based Deep Learning

2025H. Aggarwal, Antony Jerald et al.

[3]

An efficient deep unrolling network for sparse-view CT reconstruction via alternating optimization of dense-view sinograms and images

Founder's Pitch

"Develop a software tool for reducing ring artifacts in CT images using an unrolled network trained on synthetic data."

Medical AI•Score: 6•View PDF ↗

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SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training

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References (29)

Founder's Pitch

"Develop a software tool for reducing ring artifacts in CT images using an unrolled network trained on synthetic data."

Commercial Viability Breakdown

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SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training

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References (29)

Founder's Pitch

"Develop a software tool for reducing ring artifacts in CT images using an unrolled network trained on synthetic data."

Commercial Viability Breakdown

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