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

Multi-omics analysis reveals the key role of STIL in Li-Fraumeni syndrome and osteosarcoma

多组学分析揭示了STIL在李-弗劳梅尼综合征和骨肉瘤中的关键作用

Qiao, Yu; Hao, Jincen; Yuan, Fahu; Curto-Vilalta, Anna; Tang, Long; von Eisenhart-Rothe, Rüdiger; Hinterwimmer, Florian

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis

利用英国生物银行数据进行腕部加速度计深度学习,可识别膝骨关节炎早期运动特征,最早可在确诊前5年发现。

Smits Serena, Ricardo; Hirschmann, Michael T; Matziolis, Georg; von Eisenhart-Rothe, Rüdiger; Rueckert, Daniel; Hinterwimmer, Florian; Valle, Christina

Performance comparison and future perspectives of deep learning and classical machine learning in bone tumor applications: a systematic review (2019-2025)

深度学习与经典机器学习在骨肿瘤应用中的性能比较及未来展望:系统性综述(2019-2025)

Qiao, Yu; Eisfeld, Carolin; von Eisenhart-Rothe, Rüdiger; Hinterwimmer, Florian

Ten Years of Atypical Cartilaginous Tumors-Is Curettage Really Enough?

非典型软骨肿瘤十年回顾——刮除术真的足够吗?

Breden, Sebastian; Stephan, Maximilian; Hinterwimmer, Florian; Consalvo, Sarah; Curto Vilalta, Anna; Knebel, Carolin; von Eisenhart-Rothe, Rüdiger; Lenze, Ulrich

Outcomes and Prognostic Factors in Tumor-Related Amputations: A Retrospective Cohort Study of 132 Cases over Two Decades

肿瘤相关截肢的结局和预后因素:一项对20年间132例病例的回顾性队列研究

Breden, Sebastian; Stephan, Maximilian; Hinterwimmer, Florian; Consalvo, Sarah; Lenze, Ulrich; von Eisenhart-Rothe, Rüdiger; Knebel, Carolin

Machine Learning-Based prediction of complications and residual pain after total knee arthroplasty

基于机器学习的全膝关节置换术后并发症和残余疼痛预测

Müller, Dirk; Gillani, Amna; Hinterwimmer, Florian; Arber, Anabel; Graichen, Heiko; von Eisenhart-Rothe, Rüdiger; Lazic, Igor

The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review

人工智能和可穿戴惯性测量单元在医学中的应用:系统性综述

Smits Serena, Ricardo; Hinterwimmer, Florian; Burgkart, Rainer; von Eisenhart-Rothe, Rudiger; Rueckert, Daniel

Assessing the mechanism of osteosarcoma induced by long-term PET exposure: prediction from combined network toxicology, machine learning and molecular docking

评估长期PET暴露诱发骨肉瘤的机制:基于网络毒理学、机器学习和分子对接的联合预测

Qiao, Yu; Yuan, Fahu; Curto-Vilalta, Anna; von Eisenhart-Rothe, Rüdiger; Hinterwimmer, Florian

A deep learning model for classification of chondroid tumors on CT images

基于深度学习的CT图像软骨肿瘤分类模型

Gassert, Felix G; Lang, Daniel; Hesse, Nina; Dürr, Hans Roland; Klein, Alexander; Kohll, Luca; Hinterwimmer, Florian; Luitjens, Johanna; Weissinger, Stefan; Peeken, Jan C; Mogler, Carolin; Knebel, Carolin; Bartzsch, Stefan; Gassert, Florian T; Gersing, Alexandra S

Hemi-Versus Total Hip Arthroplasty in Femoral Neck Fractures? Predicting Failure on a 10-Year Data Analysis of the German Arthroplasty Registry (EPRD)

股骨颈骨折患者行半髋关节置换术与全髋关节置换术的比较?基于德国关节置换登记处(EPRD)10年数据分析预测失败

Hungerer, Sven; Hinterwimmer, Florian; Leister, Iris; Langer, Severin; Gotzler, Alexander; Glowalla, Claudio