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Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data

Yijie Zhang Tairan Liu Manmohan Singh Ege ?etinta? Yilin Luo Yair Rivenson Kirill V.Larin Aydogan Ozcan

光：科学与应用（英文版）2021，Vol.10Issue(9)：1658-1671,14.

Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data

Yijie Zhang ¹Tairan Liu ²Manmohan Singh ³Ege ?etinta? ¹Yilin Luo ²Yair Rivenson ³Kirill V.Larin ⁴Aydogan Ozcan¹

作者信息

1. Electrical and Computer Engineering Department,University of California,Los Angeles,CA 90095,USA
2. Department of Bioengineering,University of California,Los Angeles,CA 90095,USA
3. California NanoSystems Institute,University of California,Los Angeles,CA 90095,USA
4. Department of Biomedical Engineering,University of Houston,Houston,TX 77204,USA.
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摘要

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Yijie Zhang,Tairan Liu,Manmohan Singh,Ege ?etinta?,Yilin Luo,Yair Rivenson,Kirill V.Larin,Aydogan Ozcan..Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data[J].光：科学与应用（英文版）,2021,10(9):1658-1671,14.

基金项目

The Ozcan Lab at UCLA acknowledges the support of NSF and HHMI.The Larin Lab at UH acknowledges the support of NIH(R01AA028406,R01HD096335,R01EB027099,and R01HL146745). （R01AA028406,R01HD096335,R01EB027099,and R01HL146745）

光：科学与应用（英文版）

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ISSN：2095-5545

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