Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
R. Groh, Z. Lei, L. Martignetti…·A. M. Kist
This study develops efficient and explainable DNNs for detecting airway symptoms using mechanoacoustic data, achieving 83.7% accuracy with a low memory footprint.
A. M. Kist, S. Duerr, A. Schuetzenberger, M. Semmler
This paper shows that a single latent channel is sufficient for glottis segmentation using deep neural networks, enabling efficient and clinically applicable models.
A. M. Kist, J. Zilker, P. Gomez…·M. Döllinger
This study evaluates methods for automatic glottal midline detection using simulations and endoscopic images, finding deep neural networks outperform classical computer vision methods.