Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign, Urbana, IL, USA
Funder
National Cancer Institute
National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/58/9745390/09715054.pdf?arnumber=9715054
Reference51 articles.
1. In Vivo Confocal Imaging of Fluorescently Labeled Microbubbles: Implications for Ultrasound Localization Microscopy
2. Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers
3. Deep Learning for Ultrasound Localization Microscopy
4. Deep Learning for Super-resolution Vascular Ultrasound Imaging
5. Beamforming and Speckle Reduction Using Neural Networks
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