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 | 14 | 2018 |
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 | 8 | 2019 |
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 | 7 | 2017 |
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 | 6 | 2015 |
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 | 5 | 2021 |
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 | 2 | 2020 |
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 | 2 | 2020 |
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 | 2 | 2020 |
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 | 2 | 2019 |