Ibraheem Al-Dhamari

Berlin Institute of Health at Charité - Universitätsmedizin Berlin, University of Koblenz and Landau

Papers

Total Citations

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About

Ibraheem Al-Dhamari is a researcher specializing in medical image analysis, with a particular focus on cochlear imaging and otological applications. His primary research areas include automated segmentation, 3D multimodal image processing, and atlas-based modeling for cochlear structures. Al-Dhamari’s major contribution lies in developing automated methods for cochlear length and volume estimation from clinical 3D images, which have direct implications for cochlear implant selection, surgical planning, and robotic-assisted surgeries. His most-cited work, “Automatic cochlear multimodal 3D image segmentation and analysis using atlas–model-based method” (2023, 10 citations), introduces a fast, automated segmentation approach validated using 3D landmark localization, addressing a critical need for personalized implant fitting. Earlier work, “Automatic Cochlear Length and Volume Size Estimation” (2018, 5 citations), laid foundational techniques for quantitative cochlear morphometry. Though his citation counts are modest, Al-Dhamari’s research is notable for its translational potential, bridging computational imaging with clinical otology. His work is particularly relevant for students and researchers interested in medical image computing, surgical automation, and the application of atlas-based methods to complex anatomical structures.