52 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH15 papers
- ETH ZurichCH11 papers
- University Hospital ZurichCH7 papers
- Technical University of MunichDE5 papers
- Institute for BiomechanicsCH3 papers
- Bern University of Applied SciencesCH2 papers
- King's College LondonGB2 papers
- University College LondonGB2 papers
- University of BaselCH2 papers
- Alberta Bone and Joint Health InstituteCA1 paper
- Brno University of TechnologyCZ1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
4 papers · 1 filter
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
Mane Margaryan, Matthias Seibold, Indu Joshi +3
Data augmentation is a valuable tool for the design of deep learning systems to overcome data limitations and stabilize the training process. Especially in the medical domain, wher…
A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
Matthias Seibold, Bastian Sigrist, Tobias Götschi +6
There is an unmet clinical need for developing novel methods to complement and replace the current radiation-emitting imaging-based methods for the detection of loose pedicle screw…
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
Batiste Le Bars, Aurélien Bellet, Marc Tommasi +2
One of the key challenges in decentralized and federated learning is to design algorithms that efficiently deal with highly heterogeneous data distributions across agents. In this…
Conditional Generative Data Augmentation for Clinical Audio Datasets
Matthias Seibold, Armando Hoch, Mazda Farshad +2
In this work, we propose a novel data augmentation method for clinical audio datasets based on a conditional Wasserstein Generative Adversarial Network with Gradient Penalty (cWGAN…