8 citations · 10 across the 3 of their papers we have counts for
3 papers
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…
Multi-Label Segmentation via Residual-Driven Adaptive Regularization
Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto
We present a variational multi-label segmentation algorithm based on a robust Huber loss for both the data and the regularizer, minimized within a convex optimization framework. We…
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks +1
We propose an adaptive regularization scheme in a variational framework where a convex composite energy functional is optimized. We consider a number of imaging problems including…