Deep learning methods for limited data problems in X-ray tomography

DOI10.1007/978-3-030-98661-2_82zbMATH Open1544.92097MaRDI QIDQ6606476

Johannes Schwab

Publication date: 16 September 2024

zbMATH Keywords

inverse problemregularizationcomputed tomographydeep learninglimited data

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55)

Cites Work

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• NETT: solving inverse problems with deep neural networks
• Solving inverse problems using data-driven models
• Deep Learning: An Introduction for Applied Mathematicians
• Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
• Characterization and reduction of artifacts in limited angle tomography
• An Iteration Formula for Fredholm Integral Equations of the First Kind
• The Elements of Statistical Learning

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