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Author

Hossein ARABI

Division of Nuclear Medicine and Molecular Imaging, Department of Medical Imaging, Geneva University Hospital, Geneva, Switzerland

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Review Open access Sep 2026

Deep learning-based metal artifact reduction in CT for head and neck radiotherapy

Background and purpose Metal artifacts from dental fillings and implants compromise CT image quality, target delineation, and dose calculation accuracy in head and neck (H&N) radiotherapy. Previous reviews have largely focused on traditional metal artifact reduction methods and image quality metrics rather than radioth...

Ehsan Mihandoust, Peyman Sheikhzadeh, S. N. Lavasani et al. · 0 citations

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