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math.OC2024
Derivative-free stochastic bilevel optimization for inverse problems
Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
Inverse problems are key issues in several scientific areas, including signal processing and medical imaging. Data-driven approaches for inverse problems aim for learning model and…
eess.IV2024
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution
Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen +1
Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high-qual…