Noise-resilient approach for deep tomographic imaging

This addresses noise issues in medical or industrial imaging, but appears incremental as it builds on existing deep reconstruction methods.

The paper tackles the problem of noise in X-ray tomography by proposing a noise-resilient deep reconstruction algorithm, achieving strong noise resilience without requiring noisy training examples, which could enable low-photon imaging.