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Light, Science & Applications|January 3, 2026
Compressing and expanding optical matrix-vector multipliers for enabling optical image encoder-decoders and generatorsAdrian SternLight, Science & Applications|February 8, 2019
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learningYair Rivenson, Tairan Liu, Zhensong Wei, et al.Light, Science & Applications|May 16, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissueYijie Zhang, Kevin de Haan, Yair Rivenson, et al.Light, Science & Applications|December 10, 2019
Design of task-specific optical systems using broadband diffractive neural networksYi Luo, Deniz Mengu, Nezih T Yardimci, et al.Light, Science & Applications|March 12, 2019
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologramYichen Wu, Yilin Luo, Gunvant Chaudhari, et al.Journal of Biophotonics|July 17, 2019
Deep learning-based color holographic microscopyTairan Liu, Zhensong Wei, Yair Rivenson, et al.Scientific Reports|March 10, 2019
Deep learning-based super-resolution in coherent imaging systemsTairan Liu, Kevin de Haan, Yair Rivenson, et al.Science (New York, N.Y.)|July 28, 2018
All-optical machine learning using diffractive deep neural networksXing Lin, Yair Rivenson, Nezih T Yardimci, et al.Sensors (Basel, Switzerland)|September 10, 2021
A Simplified Model for Optical Systems with Random Phase ScreensMalchiel Haskel, Adrian SternJournal of the Optical Society of America. A, Optics, Image Science, and Vision|March 10, 2004
Sampling in the light of Wigner distributionAdrian Stern, Bahram JavidiPageof 11