Orhan, K. Et Al. 2023. Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.. Dento maxillo facial radiology , vol.52 , 20230141.

Orhan, K., Sanders, A., Ünsal, G., Ezhov, M., Mısırlı, M., Gusarev, M., ... İçen, M.(2023). Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.. Dento maxillo facial radiology , vol.52, 20230141.

Orhan, Kaan Et Al. "Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.," Dento maxillo facial radiology , vol.52, 20230141, 2023

Orhan, Kaan Et Al. "Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.." Dento maxillo facial radiology , vol.52, pp.20230141, 2023

Orhan, K. Et Al. (2023) . "Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.." Dento maxillo facial radiology , vol.52, p.20230141.

@article{article, author={Kaan Orhan Et Al. }, title={Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.}, journal={Dento maxillo facial radiology}, year=2023, pages={20230141} }