Automated reconstruction of missing tooth morphology using a transformer‐based implicit neural network: A multi‐tooth position evaluation
Year: 2025
Type: article
Language: en
Topic: Dental Radiography and Imaging
Authors and affiliations:
raw_author_name: Yiqing Wang
raw_affiliation_strings: Department of Prosthodontics Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials  Beijing PR China
Department of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR China
raw_author_name: Yuze Shi
raw_affiliation_strings: School of Computer and Artificial Intelligence Beijing Technology and Business University  Beijing China
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China
raw_author_name: Nan Li
raw_affiliation_strings: School of Computer and Artificial Intelligence Beijing Technology and Business University  Beijing China
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China
raw_author_name: Wei‐Shao Lin
raw_affiliation_strings: Department of Prosthodontics Indiana University School of Dentistry  Indianapolis Indiana USA
Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA
raw_author_name: Jianguo Tan
raw_affiliation_strings: Department of Prosthodontics Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials  Beijing PR China
Department of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR China
raw_author_name: Li Chen
raw_affiliation_strings: Department of Prosthodontics Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials  Beijing PR China
Department of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR China