Friedrich Lisseck

Papers

Total Citations

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About

Friedrich Lisseck is a researcher whose work centers on the computational modeling and morphological analysis of the human cochlea, with a particular focus on improving the precision of cochlear implant (CI) surgery. His most cited paper, "Automatic Cochlear Length and Volume Size Estimation" (2018, 5 citations), introduces a novel algorithm for automatically measuring critical anatomical parameters from pre-operative CT scans. This contribution is significant because it addresses a key challenge in CI candidacy and electrode selection: the need for patient-specific cochlear dimensions to optimize hearing outcomes. By automating this estimation, Lisseck’s work reduces manual measurement errors and enables more personalized surgical planning. While his citation count is modest, the impact of his research lies in its direct clinical applicability, offering a scalable tool for audiologists and surgeons. His work bridges the gap between medical imaging and implant design, representing a foundational step toward data-driven, individualized auditory rehabilitation.