Mr. Shoma Kataoka Profile

Shoma Kataoka

at Osaka Univ

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 13 March 2024 Presentation + Paper

Fast and accurate single pixel imaging using estimation uncertainty in explainable CNNs

Yasuhiro Mizutani, Shoma Kataoka, Tsutomu Uenohara, Yasuhiro Takaya, Osamu Matoba

Proceedings Volume 12903, 129030F (2024) https://doi.org/10.1117/12.3002270

KEYWORDS: Signal to noise ratio, Signal detection, Machine learning, Sensors, Measurement uncertainty, Spatial resolution, Signal intensity, Image quality, Defect detection, Scattered light

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Proceedings Article | 20 September 2023 Paper

Prediction uncertainty evaluation of deep learning ghost imaging based on the feature map

S. Kataoka, Y. Mizutani, T. Uenohara, Y. Takaya

Proceedings Volume 12607, 126070P (2023) https://doi.org/10.1117/12.3005557

KEYWORDS: Signal to noise ratio, Deep learning, Light sources and illumination, Measurement uncertainty, Image restoration, Defect inspection, Feature extraction, Error analysis, Education and training, Statistical methods

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Proceedings Article | 27 October 2021 Paper

Ghost imaging with probability estimation using convolutional neural network: improving estimation accuracy using parallel convolutional neural network

Shoma Kataoka, Yasuhiro Mizutani, Tsutomu Uenohara, Yasuhiro Takaya

Proceedings Volume 11927, 1192703 (2021) https://doi.org/10.1117/12.2616228

KEYWORDS: Convolutional neural networks, Signal to noise ratio, Defect inspection, Time metrology, Statistical analysis, Light scattering, Correlation function, Projection systems, Inspection, Sensors

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Proceedings Article | 27 October 2021 Paper

First photon-detection ghost imaging for weak light imaging

Yasuhiro Mizutani, Shoma Kataoka, Tsutomu Uenohara

Proceedings Volume 11925, 119250R (2021) https://doi.org/10.1117/12.2615673

KEYWORDS: Signal detection, Luminescence, Image quality, Sensors, Machine learning, CMOS sensors, CCD image sensors, Raster graphics, Photon counting, Photodetectors

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Proceedings Article | 15 June 2020 Paper

Ghost imaging for weak light imaging by using arrival time of photon and deep learning

Yasuhiro Mizutani, Shoma Kataoka, Tsutomu Uenohara, Yasuhiro Takaya

Proceedings Volume 11521, 115210E (2020) https://doi.org/10.1117/12.2573239

KEYWORDS: Signal detection, Machine learning, Sensors, Luminescence, Convolutional neural networks, Photodetectors, Molecules, Convolution, Image quality, Mechanical engineering

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