Author

Markus Haltmeier

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Preprint Sep 2026

ELIPPS: Exact Learning for Inverse Problems from Partial Self-supervision

In undersampled inverse problems (such as sparse-view computed tomography), only a small number of measurements are collected, which reduces radiation exposure and acquisition time and cost, and can also address the inaccessibility of certain acquisition arrangements. Most learning-based methods for such problems requi...

Benjamin Walder, Markus Haltmeier, Lukas Neumann et al. · 0 citations

Jul 2026

Design Choices in Splitting-Based Self-Supervised Sparse-View CT Reconstruction

A unified framework that decomposes splitting-based reconstruction into these three components is introduced, enabling controlled comparison of existing methods and two incremental extensions: multi-partition splitting and an alternative inference strategy.

Nadja Gruber, Lukas Neumann, A. Biguri et al. · arXiv.org · 0 citations