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Carola-Bibiane Schönlieb

3 papers indexed

arxivphysics.med-phcs.CV2026-07-31

CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking

Sepideh Hatamikia, Anna Breger, Clemens Karner, Birgit Pohn, Poorya MohammadiNasab, Martin Buschmann, et al.

Medical image quality plays a critical role in diagnostic accuracy, especially in X-ray-based imaging modalities such as cone-beam computed tomography (CBCT), where image quality must be balanced against radiation dose. While expert visual evaluation remains the clinical standard…

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arxivmath.NAcs.LG2026-07-21

1-Lipschitz Neural Networks on Hadamard Manifolds

Davide Murari, Marta Ghirardelli, Ben Adcock, Elena Celledoni, Brynjulf Owren, Carola-Bibiane Schönlieb

Controlling the Lipschitz constant of a neural network is a standard way to promote robustness and stability. Most existing constraining strategies are designed for Euclidean spaces. In this work, we construct and analyze a class of 1-Lipschitz neural networks on Hadamard manifol…

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arxivcond-mat.mtrl-scicond-mat.str-elcs.LG2026-07-14

DeepCormack: Fermi surface tomography using model-based data-driven algorithms

Georg F. B. Lovric, Bryn Drury, Carola-Bibiane Schönlieb, Stephen B. Dugdale, Ander Biguri

The experimental reconstruction of the 3D two-photon momentum density (TPMD) via angular correlation of electron-positron annihilation radiation (ACAR) is a particularly useful method for studying material Fermi surfaces. It does not rely on low temperatures, UHV conditions, or s…

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