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Michael Dieckmeyer

technical university of munich
H指数:23
被引数:2,020

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Correction: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans

更正:深度学习与人工评分者在常规CT扫描中检测骨质疏松性椎体压缩性骨折的诊断准确性比较

2026-08-060
OA
Texture analysis on muscle T2 maps can reveal changes in upper trapezius muscles related to primary headache disorders

对肌肉T2图的纹理分析可以揭示与原发性头痛障碍相关的斜方肌上部变化

2026-07-270
OA
Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans

深度学习与人工评分者在常规CT扫描中检测骨质疏松性椎体压缩性骨折的诊断准确性比较

2026-02-240
OAAI
Finite Element Analysis of Osteoporotic and Osteoblastic Vertebrae and Its Association With the Proton Density Fat Fraction From Chemical Shift Encoding-Based Water-Fat MRI - A Preliminary Study

骨质疏松和成骨椎骨的有限元分析及其与基于化学位移编码的水脂肪MRI质子密度脂肪分数的关系的初步研究

2022-07-112
OAAI
Texture Analysis Using CT and Chemical Shift Encoding-Based Water-Fat MRI Can Improve Differentiation Between Patients With and Without Osteoporotic Vertebral Fractures

使用CT和基于化学位移编码的水脂MRI进行纹理分析可以改善骨质疏松性椎体骨折患者与无骨质疏松性椎体骨折患者之间的区别

2022-01-0411
OAAI
Association of Thigh Muscle Strength with Texture Features Based on Proton Density Fat Fraction Maps Derived from Chemical Shift Encoding-Based Water-Fat MRI

基于基于化学位移编码的水脂肪MRI质子密度脂肪分数图的大腿肌肉力量与纹理特征的关联

2021-02-1312
OAAI