1. Global, regional, and national levels and trends in burden of oral conditions from 1990 to 2017: a systematic analysis for the global burden of disease 2017 study;Bernabe,2020
2. Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems;Wenzel;Dentomaxillofacial Radiol.,2021
3. A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs;Dayı;Diagnostics,2023
4. Deep learning for caries detection and classification;Lian;Diagnostics (Basel),2021
5. Cariesnet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic x-ray image;Zhu;Neural Comput. Appl.,2022