27 citations · 27 across the 4 of their papers we have counts for
4 papers
Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
Ivo Herzig, Pascal Paysan, Daniel Barco +8
Four-dimensional cone beam CT (4D CBCT) is important for image-guided radiation therapy of thoracic cancers, but its use is limited by long scan times, causing high patient dose an…
Projected Energy Matching for Generative 3D Priors
Daniel Barco, Michal Balcerak, Suprosanna Shit +4
Transport-based generative models, which learn a time-dependent vector field that moves noise to data, have become a dominant paradigm. However, these models typically do not expli…
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
Daniel Barco, Marc Stadelmann, Martin Oswald +7
We present MInDI-3D (Medical Inversion by Direct Iteration in 3D), the first 3D conditional diffusion-based model for real-world sparse-view Cone Beam Computed Tomography (CBCT) ar…
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
Mohammadreza Amirian, Daniel Barco, Ivo Herzig +1
Deep learning based approaches have been used to improve image quality in cone-beam computed tomography (CBCT), a medical imaging technique often used in applications such as image…