52 citations · 79 across the 10 of their papers we have counts for
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…
Sonification as a Reliable Alternative to Conventional Visual Surgical Navigation
Sasan Matinfar, Mehrdad Salehi, Daniel Suter +7
Despite the undeniable advantages of image-guided surgical assistance systems in terms of accuracy, such systems have not yet fully met surgeons' needs or expectations regarding us…
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…