Santeri Kaupinmäki

Enabling self-supervised learned primal dual with Noise2Inverse

Antti Sällinen, Siiri Rautio, Santeri Kaupinmäki, Andreas Hauptmann

X-ray computed tomography reconstruction is an ill-posed inverse problem, particularly in low-dose and sparse-angle settings where measurements are noisy and incomplete. While learned reconstruction methods such as the Learned Primal-Dual algorithm achieve strong performance, the…Read more