A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects-Reference-Cited by-同舟云学术

A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects

Published:2023-05-22 Issue: Volume: Page:
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Lin Muyang^ORCID,Zhang Ziyang,Gao Xiaoxiang,Bian Yizhou,Wu Ray S.^ORCID,Park Geonho^ORCID,Lou Zhiyuan,Zhang Zhuorui,Xu Xiangchen,Chen Xiangjun,Kang Andrea,Yang Xinyi,Yue Wentong,Yin Lu^ORCID,Wang Chonghe,Qi Baiyan,Zhou Sai,Hu Hongjie,Huang Hao,Li Mohan,Gu Yue,Mu Jing^ORCID,Yang Albert,Yaghi Amer,Chen Yimu,Lei Yusheng,Lu Chengchangfeng^ORCID,Wang Ruotao,Wang Joseph,Xiang Shu,Kistler Erik B.,Vasconcelos Nuno,Xu Sheng^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41587-023-01800-0.pdf

Reference77 articles.

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3. Rothberg, J. M. et al. Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence. Proc. Natl Acad. Sci. USA 118, e2019339118 (2021).

4. Brattain, L. J., Telfer, B. A., Dhyani, M., Grajo, J. R. & Samir, A. E. Machine learning for medical ultrasound: status, methods, and future opportunities. Abdom. Radiol. 43, 786–799 (2018).

5. Liu, S. et al. Deep learning in medical ultrasound analysis: a review. Engineering 5, 261–275 (2019).

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