Search Results for author: Thorben Kröger

Found 5 papers, 0 papers with code

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

no code implementations6 Jan 2019 Tomasz Konopczyński, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser

Following their idea of feature learning instead of hand-crafted filters, we have extended the method to learn 3D features.

Dictionary Learning

Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans

no code implementations4 Jan 2019 Tomasz Konopczyński, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser

We present the first attempt to perform short glass fiber semantic segmentation from X-ray computed tomography volumetric datasets at medium (3. 9 {\mu}m isotropic) and low (8. 3 {\mu}m isotropic) resolution using deep learning architectures.

Semantic Segmentation

Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning

no code implementations4 Jan 2019 Tomasz Konopczyński, Thorben Kröger, Lei Zheng, Jürgen Hesser

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 polymers.

3D Instance Segmentation Semantic Segmentation

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

no code implementations2 Apr 2014 Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother

However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.

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