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eess.IV2026
Enabling self-supervised learned primal dual with Noise2Inverse
Antti Sällinen, Siiri Rautio, Santeri Kaupinmäki +1
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 lear…
eess.IV2025
Learned enclosure method for experimental EIT data
Sara Sippola, Siiri Rautio, Andreas Hauptmann +2
Electrical impedance tomography (EIT) is a non-invasive imaging method with diverse applications, including medical imaging and non-destructive testing. The inverse problem of reco…
eess.IV2022
Learning a microlocal prior for limited-angle tomography
Siiri Rautio, Rashmi Murthy, Tatiana A. Bubba +2
Limited-angle tomography is a highly ill-posed linear inverse problem. It arises in many applications, such as digital breast tomosynthesis. Reconstructions from limited-angle data…