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Sören Klemm
Sören Klemm
Postdoctoral Research Fellow, Federal Criminal Police Office
Bestätigte E-Mail-Adresse bei uni-muenster.de
Titel
Zitiert von
Zitiert von
Jahr
Barista-a Graphical Tool for Designing and Training Deep Neural Networks
S Klemm, A Scherzinger, D Drees, X Jiang
arXiv preprint arXiv:1802.04626, 2018
112018
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks.
S Hamid, A Derstroff, S Klemm, QQ Ngo, X Jiang, L Linsen
MLVis@ EuroVis, 19-23, 2019
72019
CNN-based background subtraction for long-term in-vial FIM imaging
A Scherzinger, S Klemm, D Berh, X Jiang
Computer Analysis of Images and Patterns: 17th International Conference …, 2017
72017
Robust Face Recognition using Key-point Descriptors
S Klemm, Y Andreu, P Henriquez, BJ Matuszewski
International Conference on Computer Vision Theory and Applications 2, 447-454, 2015
62015
Effects of central apneas on sympathovagal balance and hemodynamics at night: impact of underlying systolic heart failure
J Spiesshoefer, N Hegerfeld, MF Gerdes, S Klemm, M Gorbachevski, ...
Sleep and Breathing 25, 965-977, 2021
52021
A video processing pipeline for intraoperative analysis of cerebral blood flow
S Klemm, R Rexeisen, W Stummer, X Jiang, M Holling
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020
22020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
K Huesmann, S Klemm, L Linsen, B Risse
arXiv preprint arXiv:2002.09237, 2020
22020
Deploying deep learning into practice: a case study on fundus segmentation
S Klemm, RD Ortkemper, X Jiang
Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019 …, 2020
22020
Deep Distance Transform to Segment Visually Indistinguishable Merged Objects
S Klemm, X Jiang, B Risse
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
22019
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