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

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI

MR-Transformer：一种基于视觉变换器的深度学习模型，用于利用磁共振成像技术预测全膝关节置换术。

期刊:Radiology-Artificial Intelligence
影响因子:13.2
doi:10.1148/ryai.240373
Zhang, Chaojie; Chen, Shengjia; Cigdem, Ozkan; Rajamohan, Haresh Rengaraj; Cho, Kyunghyun; Kijowski, Richard; Deniz, Cem M
发表日期：2025
文献求助 收藏

Robust Disease Prognosis via Diagnostic Knowledge Preservation: A Sequential Learning Approach

基于诊断知识保留的稳健疾病预后：一种序列学习方法

期刊:
影响因子:
doi:10.1101/2025.09.22.25336414
Rajamohan, Haresh Rengaraj; Xu, Yanqi; Zhu, Weicheng; Kijowski, Richard; Cho, Kyunghyun; Geras, Krzysztof J; Razavian, Narges; Deniz, Cem M
发表日期：2025
文献求助 收藏

The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images

数据增强和迁移学习对深度学习模型在三维磁共振图像髋关节分割中性能的影响

期刊:Informatics in Medicine Unlocked
影响因子:
doi:10.1016/j.imu.2023.101444
Montin, Eros; Deniz, Cem M; Kijowski, Richard; Youm, Thomas; Lattanzi, Riccardo
发表日期：2024
文献求助 收藏

Prediction of total knee replacement using deep learning analysis of knee MRI

利用深度学习分析膝关节MRI数据预测全膝关节置换术

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-33934-1
Rajamohan, Haresh Rengaraj; Wang, Tianyu; Leung, Kevin; Chang, Gregory; Cho, Kyunghyun; Kijowski, Richard; Deniz, Cem M
发表日期：2023
文献求助 收藏

Deep learning applications in osteoarthritis imaging

深度学习在骨关节炎成像中的应用

期刊:Skeletal Radiology
影响因子:2.2
doi:10.1007/s00256-023-04296-6
Kijowski, Richard; Fritz, Jan; Deniz, Cem M
关节炎
发表日期：2023
文献求助 收藏

Towards Automatic Cartilage Quantification in Clinical Trials - Continuing from the 2019 IWOAI Knee Segmentation Challenge

迈向临床试验中的软骨自动定量——2019 年 IWOAI 膝关节分割挑战赛的延续

期刊:
影响因子:
doi:10.1016/j.ostima.2023.100087
Dam, Erik B; Desai, Arjun D; Deniz, Cem M; Rajamohan, Haresh R; Regatte, Ravinder; Iriondo, Claudia; Pedoia, Valentina; Majumdar, Sharmila; Perslev, Mathias; Igel, Christian; Pai, Akshay; Gaj, Sibaji; Yang, Mingrui; Nakamura, Kunio; Li, Xiaojuan; Maqbool, Hasan; Irmakci, Ismail; Song, Sang-Eun; Bagci, Ulas; Hargreaves, Brian; Gold, Garry; Chaudhari, Akshay
发表日期：2023
文献求助 收藏

Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning

利用X光片和MRI图像估算全膝关节置换术时间：一种基于自监督深度学习的多模态方法

期刊:
影响因子:
doi:10.1093/radadv/umae030
Cigdem, Ozkan; Chen, Shengjia; Zhang, Chaojie; Cho, Kyunghyun; Kijowski, Richard; Deniz, Cem M
发表日期：2022
文献求助 收藏

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

国际骨关节炎成像研讨会膝关节MRI分割挑战赛：基于标准化数据集的多机构评估和分析框架

期刊:Radiology-Artificial Intelligence
影响因子:13.2
doi:10.1148/ryai.2021200078
Desai, Arjun D; Caliva, Francesco; Iriondo, Claudia; Mortazi, Aliasghar; Jambawalikar, Sachin; Bagci, Ulas; Perslev, Mathias; Igel, Christian; Dam, Erik B; Gaj, Sibaji; Yang, Mingrui; Li, Xiaojuan; Deniz, Cem M; Juras, Vladimir; Regatte, Ravinder; Gold, Garry E; Hargreaves, Brian A; Pedoia, Valentina; Chaudhari, Akshay S
关节炎
发表日期：2021
文献求助 收藏

Three-dimensional MRI Bone Models of the Glenohumeral Joint Using Deep Learning: Evaluation of Normal Anatomy and Glenoid Bone Loss

利用深度学习构建肩肱关节三维磁共振骨模型：评估正常解剖结构和肩胛盂骨缺损

期刊:Radiology-Artificial Intelligence
影响因子:13.2
doi:10.1148/ryai.2020190116
Cantarelli Rodrigues, Tatiane; Deniz, Cem M; Alaia, Erin F; Gorelik, Natalia; Babb, James S; Dublin, Jared; Gyftopoulos, Soterios
发表日期：2020
文献求助 收藏

Parallel Transmission for Ultrahigh Field MRI

用于超高场磁共振成像的并行传输

期刊:Topics in Magnetic Resonance Imaging
影响因子:
doi:10.1097/RMR.0000000000000204
Deniz, Cem M
发表日期：2019
文献求助 收藏