6 citations · 7 across the 2 of their papers we have counts for
3 papers · 1 filter
Sparse-View Spectral CT Reconstruction Using Deep Learning
Wail Mustafa, Christian Kehl, Ulrik Lund Olsen +4
Spectral computed tomography (CT) is an emerging technology capable of providing high chemical specificity, which is crucial for many applications such as detecting threats in lugg…
Shape from Projections via Differentiable Forward Projector for Computed Tomography
Jakeoung Koo, Anders B. Dahl, J. Andreas Bærentzen +3
In computed tomography, the reconstruction is typically obtained on a voxel grid. In this work, however, we propose a mesh-based reconstruction method. For tomographic problems, 3D…
Guiding 3D U-nets with signed distance fields for creating 3D models from images
Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Anders Bjorholm Dahl +4
Morphological analysis of the left atrial appendage is an important tool to assess risk of ischemic stroke. Most deep learning approaches for 3D segmentation is guided by binary la…