Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT-Reference-Cited by-同舟云学术

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Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT

Published:2023-11 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Brendlin Andreas S.,Dehdab Reza,Stenzl Benedikt,Mueck Jonas,Ghibes Patrick,Groezinger Gerd,Kim Jonghyo,Afat Saif,Artzner Christoph

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference32 articles.

1. Bronchial artery embolization for the treatment of acute hemoptysis;Cody O'Dell;Tech Vasc Interv Radiol,2017

2. Bronchial artery embolization for the management of frequent hemoptysis caused by bronchiectasis;Lu;BMC Pulm Med,2022

3. Utility of cone-beam CT for bronchial artery embolization and chemoinfusion: a single-institution retrospective case series;Liu;Cardiovasc Intervent Radiol,2022

4. Estimated risks of radiation-induced fatal cancer from pediatric CT;Brenner;AJR Am J Roentgenol,2001

5. Computed tomography — an increasing source of radiation exposure;Brenner;N Engl J Med,2007

Cited by 1 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. Low Dose CBCT Denoising Using a 3D U-Net;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

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