APA (7th ed.) Citation

Danan, E., Shabairou, N., Danan, Y., & Zalevsky, Z. (2022). Signal-to-Noise Ratio Improvement for Multiple-Pinhole Imaging Using Supervised Encoder–Decoder Convolutional Neural Network Architecture. Photonics, 9(2), 69. https://doi.org/10.3390/photonics9020069

Chicago Style (17th ed.) Citation

Danan, Eliezer, Nadav Shabairou, Yossef Danan, and Zeev Zalevsky. "Signal-to-Noise Ratio Improvement for Multiple-Pinhole Imaging Using Supervised Encoder–Decoder Convolutional Neural Network Architecture." Photonics 9, no. 2 (2022): 69. https://doi.org/10.3390/photonics9020069.

MLA (9th ed.) Citation

Danan, Eliezer, et al. "Signal-to-Noise Ratio Improvement for Multiple-Pinhole Imaging Using Supervised Encoder–Decoder Convolutional Neural Network Architecture." Photonics, vol. 9, no. 2, 2022, p. 69, https://doi.org/10.3390/photonics9020069.