Mathematical Image Analysis Group, Saarland University

Welcome to the homepage of

Sabine Müller

Research Assistant

Position: Research Assistant

Phone: +49-681-302-57353

Fax: +49-681-302-57342

E-mail: smueller -at- mia.uni-saarland.de

Address: Mathematical Image Analysis Group

Faculty of Mathematics and Computer Science, Campus E1.7

66123 Saarbrücken, Germany

Office: Room 4.04
Building E1.7, Saarbrücken Campus

see also Contact

Research Interests

Publications

Conference Publications

S. Müller, J. Weickert, N. Graf:
Wilms' tumor in childhood: Can pattern recognition help for classification?
In Y. Zheng, B.M. Williams, K. Chen (Eds.): Medical Image Understandingand Analysis. Communications in Computer and Information Science, Vol.1065, 38-47, Springer, 2020.

S. Müller, P. Ochs, J. Weickert, N. Graf:
Robust interactive multi-label segmentation with an advanced edge detector.
In B. Andres, B. Rosenhahn (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 9796, 117-128, Springer, Cham, 2016.

S. Müller, J. Weickert, N. Graf:
Automatic brain tumor segmentation with a fast Mumford-Shah algorithm.
In M. A. Styner, E. D. Angelini (Eds.): Medical Imaging 2016: Image Processing (San Diego, CA, February 2016), SPIE Vol. 9784, 97842S, 2016.

H. Sattar, S. Müller, M. Fritz, A. Bulling:
Prediction of Search Targets From Fixations in Open-World Settings.
Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2015, Boston, MA, June 2015).

Journal Publications

S. Müller, I. Farag, J. Weickert, Y. Braun, J. Dobberstein, A. Lollert, A. Hötker, N. Graf:
Benchmarking Wilms' tumor in multi-sequence MRI data: Why does current clinical practice fail? Which popular segmentation algorithms perform well? Journal of Medical Imaging, Vol. 6, No. 3, 0344001, July 2019.

Technical Reports

S. Müller, Iva Farag, Joachim Weickert, Yvonne Braun, Jonas Dobberstein, André Lollert, Andreas Hötker, Norbert Graf:
Benchmarking Wilms' Tumor in Multi-Sequence MRI Data: Why Does Current Clinical Practice Fail? Which Popular Segmentation Algorithms Perform Well?.
Technical Report No. 393, Department of Mathematics, Saarland University, Saarbrücken, Germany, revised May 2019.

Theses

S. Müller
Image Processing Methods for Analysing Glioblastoma Multiforme in MRI Data.
Master's Thesis in Visual Computing,
Saarland University, Saarbrücken, Germany, February 2014.
S. Müller
Preprocessing of Three Dimensional Cell Images.
Bachelor's Thesis in Computer Science,
Saarland University, Saarbrücken, Germany, August 2011.

Reviewing Activities

Journals