Super resolution ultrasound imaging U sing deep learning based micro-bubbles localization
Author:
Affiliation:
1. Software group eSonic Image (Beijing) Co., Ltd.,Beijing,P. R. China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9957114/9957143/09957467.pdf?arnumber=9957467
Reference20 articles.
1. Detection and Tracking of Multiple Microbubbles in Ultrasound B-Mode Images
2. In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles
3. Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy
4. Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
5. Deep-STORM: super-resolution single-molecule microscopy by deep learning
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. RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts;IEEE Transactions on Medical Imaging;2024-09
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