Deep Learning for Instrumented Ultrasonic Tracking: From Synthetic Training Data to In Vivo Application. (2022)

First Author: Maneas E


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Bibliographic Information

Digital Object Identifier:

PubMed Identifier: 34748488

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Type: Journal Article/Review

Volume: 69

Parent Publication: IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Issue: 2

ISSN: 0885-3010