Dr. Sören Klemm
Research Assistant
Phone: +49 251 83 - 32751
s.klemm(AT)uni-muenster.de
University of Münster
Department of Computer Science
Einsteinstrasse 62
D-48149 Münster
Office 602b
Consultation hour: by appointment
Publications
- Huesmann, K, Klemm, S, Linsen, L, and Risse, B. . Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization arXiv e-print:2002.09237: CoRR.
- Klemm, S, Rexeisen, R, Stummer, W, Jiang, X, and Holling, M. . “A video processing pipeline for intraoperative analysis of cerebral blood flow.” Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 8 (4): 356–366. doi: 10.1080/21681163.2018.1559771.
- Hamid, S, Derstroff, A, Klemm, S, Ngo, Q.Q., Jiang, X, and Linsen, L. . “Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks.” in Machine Learning Methods in Visualisation for Big Data, edited by Daniel and Nabney Archambault and Jaakko Ian and Peltonen. Eurographics Association. doi: 10.2312/mlvis.20191160.
- Klemm, S, Ortkemper, RD, and Jiang, X. . “Deploying Deep Learning into practice: A case study on fundus segmentation.” contribution to the Proc. of 23rd Conference in Medical Imaging, Understanding and Analysis, Liverpool, UK
- Klemm, S, Scherzinger, A, Drees, D, and Jiang, X. . Barista - a graphical tool for designing and training deep neural networks arXiv e-print:1802.04626: CoRR.
- Klemm, S, Jiang, X, and Risse, B. . “Deep distance transform to segment visually indistinguishable merged objects.” contribution to the Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart
- Scherzinger, A, Klemm, S, Berh, D, and Jiang, X. . “CNN-based background subtraction for long-term in-vial FIM imaging.” contribution to the Proc. of 17th Int. Conf. on Computer Analysis of Images and Patterns (CAIP), Ystad, Sweden
- Klemm, S, Andreu, Y, Henriquez, P, and Matuszewski, B. . “Robust Face Recognition using Key-point Descriptors.” in VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015, edited by José Braz, Sebastiano Battiato and Francisco H. Imai. SciTePress.