3 papers
cs.CV2026
TomoTransformer: Towards a Foundation Model for CT Reconstruction
AmirEhsan Khorashadizadeh, Benjamín Béjar
Supervised deep learning has advanced sparse-view tomographic reconstruction. However, conventional models, which typically map filtered back-projection (FBP) images or sinograms t…
cs.LG2025
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography
Luis Barba, Johannes Kirschner, Tomas Aidukas +2
We introduce Diffusion Active Learning, a novel approach that combines generative diffusion modeling with data-driven sequential experimental design to adaptively acquire data for…
cs.LG2019
The fastest prox in the west
Benjamín Béjar, Ivan Dokmanić, René Vidal
Proximal operators are of particular interest in optimization problems dealing with non-smooth objectives because in many practical cases they lead to optimization algorithms whose…