Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks
- DOI
- 10.1016/j.ultras.2021.106610
- Published
- 2022-02
- Container
- Ultrasonics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2021.106610,
title = {Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks},
author = {Luka Posilović and Duje Medak and Marko Subašić and Marko Budimir and Sven Lončarić},
year = {2022},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2021.106610},
url = {https://doi.org/10.1016/j.ultras.2021.106610}
}RIS
TY - JOUR TI - Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks AU - Luka Posilović AU - Duje Medak AU - Marko Subašić AU - Marko Budimir AU - Sven Lončarić PY - 2022 JO - Ultrasonics DO - 10.1016/j.ultras.2021.106610 UR - https://doi.org/10.1016/j.ultras.2021.106610 ER -
APA
Posilović, L., Medak, D., Subašić, M., Budimir, M., & Lončarić, S. (2022). Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks. Ultrasonics. https://doi.org/10.1016/j.ultras.2021.106610
Source records
- crossref · retrieved 2026-09-26T21:27:46.837Z