日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Development of an AI-Supported Clinical Tool for Assessing Mandibular Third Molar Tooth Extraction Difficulty Using Panoramic Radiographs and YOLO11 Sub-Models

利用全景X光片和YOLO11子模型开发人工智能辅助的临床工具，用于评估下颌第三磨牙拔除难度

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics15040462
Akdoğan, Serap; Öziç, Muhammet Üsame; Tassoker, Melek
发表日期：2025
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Deep learning-based prediction of buccal, middle and palatal orientations of impacted maxillary canines using panoramic radiographs: a pilot study

基于深度学习的全景X光片预测上颌阻生尖牙颊侧、中侧和腭侧方向：一项初步研究

期刊:BMC Oral Health
影响因子:3.1
doi:10.1186/s12903-025-07395-z
Çokakoğlu, Serpil; Tosun, Samet; Özi̇ç, Muhammet Üsame
发表日期：2025
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Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach

基于深度卷积神经网络的咬翼片牙周骨吸收严重程度自动分期：一种特征-CAM可解释性映射方法

期刊:
影响因子:
doi:10.1007/s10278-024-01218-3
Erturk, Mediha; Öziç, Muhammet Üsame; Tassoker, Melek
发表日期：2025
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Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs

深度学习模型在牙科全景X光片上自动检测和定位特发性骨硬化症的性能评估

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-55109-2
Tassoker, Melek; Öziç, Muhammet Üsame; Yuce, Fatma
发表日期：2024
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AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach

基于人工智能的咬翼片龋齿邻面龋、咬合面龋和继发龋检测：一种单次深度学习方法

期刊:
影响因子:
doi:10.1007/s10278-024-01113-x
Karakuş, Rabia; Öziç, Muhammet Üsame; Tassoker, Melek
发表日期：2024
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Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs

基于全景X光片下颌骨皮质指数预测骨质疏松症的五种卷积神经网络的比较

期刊:Dentomaxillofacial Radiology
影响因子:4.1
doi:10.1259/dmfr.20220108
Tassoker, Melek; Öziç, Muhammet Üsame; Yuce, Fatma
代谢
骨质疏松
发表日期：2022
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