Dr. Sören Klemm

Wissenschaftlicher Mitarbeiter
Klemm
© Privat

Tel: +49 251 83 - 32751
s.klemm(AT)uni-muenster.de

Institut für Informatik
Westfälische Wilhelms-Universität Münster
Einsteinstrasse 62
D-48149 Münster

Raum 602b
Sprechstunde: nach Vereinbarung

 

  • Publikationen

    • Huesmann K, Klemm S, Linsen L, 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; Holling, M. . ‘A video processing pipeline for intraoperative analysis of cerebral blood flow.’ Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 8, Nr. 4: 356–366. doi: 10.1080/21681163.2018.1559771.

    • Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, 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 Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko. Eindhoven: Eurographics Association. doi: 10.2312/mlvis.20191160.
    • Klemm S, Ortkemper RD, Jiang X. . ‘Deploying Deep Learning into practice: A case study on fundus segmentation.’ Contributed to the Proc. of 23rd Conference in Medical Imaging, Understanding and Analysis, Liverpool, UK.

    • Klemm S, Scherzinger A, Drees D, Jiang X. . Barista - a graphical tool for designing and training deep neural networks. arXiv e-print:1802.04626: CoRR.
    • Klemm S, Jiang X, Risse B. . ‘Deep distance transform to segment visually indistinguishable merged objects.’ Contributed to the Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart.

    • Scherzinger A, Klemm S, Berh D, Jiang X. . ‘CNN-based background subtraction for long-term in-vial FIM imaging.’ Contributed to the Proc. of 17th Int. Conf. on Computer Analysis of Images and Patterns (CAIP), Ystad, Sweden.

    • Klemm S, Andreu Y, Henriquez P, 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 Braz José, Battiato Sebastiano, Imai Francisco H., 447–454. Setúbal: SciTePress.