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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A new score for predicting incidental appendiceal neoplasms in patients aged ≥40 years with acute appendicitis: a multicenter retrospective cohort study

一项针对40岁及以上急性阑尾炎患者，预测偶然发现的阑尾肿瘤的新评分：一项多中心回顾性队列研究

期刊:
影响因子:
doi:10.14744/tjtes.2025.86581
Pehlevan Özel, Hikmet; Er, Sadettin; Doğan, İbrahim; Yüksel, Cemil; Sevim, Yusuf; Özden, Sabri; Birben, Birkan; Er, Bilge Kaan; Bal, Şule; Yalçın, Hasan; Yıldız, Üsame; Demir, Ali; Eryılmaz, Mehmet Ali; Değirmencioğlu, Gürkan; Akın, Tezcan; Akgül, Özgür; Çetinkaya, Erdinç; Tez, Mesut
肿瘤
肿瘤免疫
阑尾炎
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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Evaluation of Mechanical and Tribological Aspect of Self-Lubricating Cu-6Gr Composites Reinforced with SiC-WC Hybrid Particles

对SiC-WC混合颗粒增强自润滑Cu-6Gr复合材料的力学和摩擦学性能进行评价

期刊:Nanomaterials
影响因子:4.3
doi:10.3390/nano12132154
Usca, Üsame Ali; Şap, Serhat; Uzun, Mahir; Giasin, Khaled; Pimenov, Danil Yurievich
发表日期：2022
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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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Parametric Optimization for Improving the Machining Process of Cu/Mo-SiC(P) Composites Produced by Powder Metallurgy

粉末冶金法制备Cu/Mo-SiC(P)复合材料加工工艺的参数优化

期刊:Materials
影响因子:3.2
doi:10.3390/ma14081921
Şap, Emine; Usca, Üsame Ali; Gupta, Munish Kumar; Kuntoğlu, Mustafa; Sarıkaya, Murat; Pimenov, Danil Yurievich; Mia, Mozammel
发表日期：2021
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A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

车削加工中间接刀具状态监测系统及决策方法综述：关键分析与发展趋势

期刊:Sensors
影响因子:3.5
doi:10.3390/s21010108
Kuntoğlu, Mustafa; Aslan, Abdullah; Pimenov, Danil Yurievich; Usca, Üsame Ali; Salur, Emin; Gupta, Munish Kumar; Mikolajczyk, Tadeusz; Giasin, Khaled; Kapłonek, Wojciech; Sharma, Shubham
发表日期：2020
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