Automated segmentation and volumetric analysis of renal cortex, medulla, and pelvis based on non-contrast-enhanced T1- and T2-weighted MR images

Author:

Will Susanne,Martirosian Petros,Würslin Christian,Schick Fritz

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Biophysics

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A deep learning image analysis method for renal perfusion estimation in pseudo-continuous arterial spin labelling MRI;Magnetic Resonance Imaging;2023-12

2. Magnetic Resonance Imaging to Evaluate Kidney Structure, Function, and Pathology: Moving Toward Clinical Application;American Journal of Kidney Diseases;2023-10

3. Hybrid Convolutional Neural Network and Extreme Learning Machine for Kidney Stone Detection;2023 Second International Conference on Electronics and Renewable Systems (ICEARS);2023-03-02

4. T1 Mapping of the Kidney;Advanced Clinical MRI of the Kidney;2023

5. Quantitative MRI of the Kidneys: Rationale and Challenges;Advanced Clinical MRI of the Kidney;2023

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