Stefan Schmidt

Orcid: 0000-0001-7954-4542

Affiliations:
  • University of Heidelberg, Heidelberg Collaboratory for Image Processing, Germany


According to our database1, Stefan Schmidt authored at least 11 papers between 2007 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2014
Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization.
Medical Image Anal., 2014

2013
Getting Feasible Variable Estimates from Infeasible Ones: MRF Local Polytope Study.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Study of Parts-Based Object Class Detection Using Complete Graphs.
Int. J. Comput. Vis., 2010

MRF Inference by <i>k</i>-Fan Decomposition and Tight Lagrangian Relaxation.
Proceedings of the Computer Vision, 2010

2009
Local motion analysis in 4D lung CT using fast groupwise registration.
Proceedings of the International Conference on Image Processing, 2009

2007
Automated Planning of Scan Geometries in Spine MRI Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Spine Detection and Labeling Using a Parts-Based Graphical Model.
Proceedings of the Information Processing in Medical Imaging, 2007


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