Deep learning-based compressed SENSE improved diffusion-weighted image quality and liver cancer detection: A prospective study-Reference-Cited by-同舟云学术

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Deep learning-based compressed SENSE improved diffusion-weighted image quality and liver cancer detection: A prospective study

Published:2024-09 Issue: Volume:111 Page:74-83
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Duan Ting,Zhang Zhen,Chen Yidi,Bashir Mustafa R.,Lerner Emily,Qu YaLi,Chen Jie,Zhang Xiaoyong,Song Bin,Jiang Hanyu

Funder

China Postdoctoral Science Foundation

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference32 articles.

1. Diffusion-weighted MR imaging of the liver;Taouli;Radiology,2010

2. Liver lesion detection and characterization: role of diffusion-weighted imaging;Galea;J. Magn. Reson. Imaging,2013

3. Utility of diffusion-weighted MRI in distinguishing benign and malignant hepatic lesions;Miller;J. Magn. Reson. Imaging,2010

4. Added value of diffusion-weighted imaging in hepatic tumors and its impact on patient management;Taron;Cancer Imaging,2018

5. Noncontrast MRI with diffusion-weighted imaging as the sole imaging modality for detecting liver malignancy in patients with high risk for hepatocellular carcinoma;Kim;Magn. Reson. Imaging,2014

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