Automated detection of mandibular landmarks in CT data using a dual-input approach in a two-stage design

The proposed method demonstrates high accuracy, robustness, and speed suggesting strong potential for integration into clinical workflows for automated, patient-specific surgical planning in cranio-maxillofacial surgery.