most citedMulti-Label Segmentation via Residual-Driven Adaptive Regularization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020

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…

cs.CV2017★ 2 cited

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…