Fethallah Benmansour

According to our database1, Fethallah Benmansour authored at least 16 papers between 2007 and 2016.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2016
Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2014
On the relevance of sparsity for image classification.
Comput. Vis. Image Underst., 2014

2013
Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Reconstructing Loopy Curvilinear Structures Using Integer Programming.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Automated reconstruction of tree structures using path classifiers and Mixed Integer Programming.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.
Medical Image Anal., 2011

Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement.
Int. J. Comput. Vis., 2011

2010
Derivatives with respect to metrics and applications: subgradient marching algorithm.
Numerische Mathematik, 2010

2009
Numerical approximation of continuous traffic congestion equilibria.
Networks Heterog. Media, 2009

Fast Object Segmentation by Growing Minimal Paths from a Single Point on 2D or 3D Images.
J. Math. Imaging Vis., 2009

From a Single Point to a Surface Patch by Growing Minimal Paths.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Tubular Anisotropy Segmentation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

A New Interactive Method for Coronary Arteries Segmentation Based on Tubular Anisotropy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Tubular anisotropy for 2D vessel segmentation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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