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Thorben Kröger
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2020 – today
- 2021
- [j3]Patrick Fuchs, Thorben Kröger, Christoph S. Garbe:
Defect detection in CT scans of cast aluminum parts: A machine vision perspective. Neurocomputing 453: 85-96 (2021)
2010 – 2019
- 2019
- [i7]Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Jürgen Hesser:
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. CoRR abs/1901.01034 (2019) - [i6]Tomasz K. Konopczynski, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. CoRR abs/1901.01210 (2019) - [i5]Tomasz K. Konopczynski, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. CoRR abs/1901.01211 (2019) - [i4]Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser:
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images. CoRR abs/1901.01562 (2019) - 2018
- [c7]Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Jürgen Hesser:
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. BMVC 2018: 268 - 2015
- [j2]Jörg H. Kappes, Björn 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:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - 2014
- [b1]Thorben Kröger:
Learning-based Segmentation for Connectomics. Heidelberg University, Germany, 2014 - [c6]Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht:
Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. CVPR 2014: 73-80 - [c5]Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe
, Fred A. Hamprecht:
Asymmetric Cuts: Joint Image Labeling and Partitioning. GCPR 2014: 199-211 - [c4]Faik Boray Tek, Thorben Kröger, Shawn Mikula, Fred A. Hamprecht:
Automated cell nucleus detection for large-volume electron microscopy of neural tissue. ISBI 2014: 69-72 - [i3]Jörg H. Kappes, Björn 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:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR abs/1404.0533 (2014) - 2013
- [c3]Thorben Kröger, Shawn Mikula, Winfried Denk, Ullrich Köthe
, Fred A. Hamprecht:
Learning to Segment Neurons with Non-local Quality Measures. MICCAI (2) 2013: 419-427 - 2012
- [j1]Björn Andres
, Ullrich Köthe
, Thorben Kröger, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht:
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries. Medical Image Anal. 16(4): 796-805 (2012) - [c2]Björn Andres
, Thorben Kröger, Kevin L. Briggman, Winfried Denk, Natalya Korogod, Graham Knott
, Ullrich Köthe
, Fred A. Hamprecht:
Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV (3) 2012: 778-791 - 2010
- [c1]Ullrich Köthe, Björn Andres
, Thorben Kröger, Fred A. Hamprecht:
Geometric Analysis of 3D Electron Microscopy Data. WADGMM 2010: 93-108 - [i2]Björn Andres, Ullrich Köthe, Thorben Kröger, Fred A. Hamprecht:
Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x. CoRR abs/1008.2909 (2010) - [i1]Björn Andres, Ullrich Köthe, Thorben Kröger, Fred A. Hamprecht:
How to Extract the Geometry and Topology from Very Large 3D Segmentations. CoRR abs/1009.6215 (2010)
Coauthor Index
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