7 citations · 22 across the 5 of their papers we have counts for
5 papers
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images
Tomasz Konopczyński, Thorben Kröger, Lei Zheng +2
We address the vessel segmentation problem by building upon the multiscale feature learning method of Kiros et al., which achieves the current top score in the VESSEL12 MICCAI chal…
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans
Tomasz Konopczyński, Danish Rathore, Jitendra Rathore +5
We present the first attempt to perform short glass fiber semantic segmentation from X-ray computed tomography volumetric datasets at medium (3.9 μm isotropic) and low (8.3 μm isot…
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning
Tomasz Konopczyński, Thorben Kröger, Lei Zheng +1
We propose a novel approach for automatic extraction (instance segmentation) of fibers from low resolution 3D X-ray computed tomography scans of short glass fiber reinforced polyme…
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…
How to Extract the Geometry and Topology from Very Large 3D Segmentations
Bjoern Andres, Ullrich Koethe, Thorben Kroeger +1
Segmentation is often an essential intermediate step in image analysis. A volume segmentation characterizes the underlying volume image in terms of geometric information--segments,…