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  1. Article

    Open Access

    Automatic diagnosis of true proximity between the mandibular canal and the third molar on panoramic radiographs using deep learning

    Evaluating the mandibular canal proximity is crucial for planning mandibular third molar extractions. Panoramic radiography is commonly used for radiological examinations before third molar extraction but has ...

    Kug ** Jeon, Hanseung Choi, Chena Lee, Sang-Sun Han in Scientific Reports (2023)

  2. Article

    Open Access

    Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm

    The evaluation of the maxillary sinus is very important in dental practice such as tooth extraction and implantation because of its proximity to the teeth, but it is not easy to evaluate because of the overlap...

    Eun-Gyu Ha, Kug ** Jeon, Hanseung Choi, Chena Lee, Yoon Joo Choi in Scientific Reports (2023)

  3. Article

    Open Access

    Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographs

    This study aimed to develop deep learning models that automatically detect impacted mesiodens on periapical radiographs of primary and mixed dentition using the YOLOv3, RetinaNet, and EfficientDet-D3 algorithm...

    Kug ** Jeon, Eun-Gyu Ha, Hanseung Choi, Chena Lee, Sang-Sun Han in Scientific Reports (2022)

  4. Article

    Open Access

    Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images

    The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as...

    Hanseung Choi, Kug ** Jeon, Young Hyun Kim, Eun-Gyu Ha, Chena Lee in Scientific Reports (2022)