Sabine Bauer

Papers

Total Citations

H-Index

About

Sabine Bauer is a researcher whose work centers on the computational modeling and morphological analysis of the human cochlea, with a particular focus on improving cochlear implant outcomes. Her most-cited paper, "Automatic Cochlear Length and Volume Size Estimation" (2018), has garnered 5 citations and represents a significant contribution to the field of otology and auditory prosthetics. In this work, Bauer developed an automated method for estimating the length and volume of the cochlea from medical imaging data, addressing a critical need for personalized implant electrode array selection. This innovation enables more precise surgical planning and potentially better hearing preservation for patients. While her citation count is modest, the practical implications of her research are substantial, as it bridges the gap between anatomical variability and device customization. Bauer’s work is particularly notable for its translational potential, offering a scalable tool that could be integrated into clinical workflows. Her research exemplifies how computational techniques can enhance our understanding of inner ear anatomy and improve the efficacy of auditory rehabilitation.