Rivenson, Yair

All-optical machine learning using diffractive deep neural networks

Lin, X., Rivenson, Y., Yardimci, N. T., Veli, M., Luo, Y., Jarrahi, M., & Ozcan, A. (2018) · Science

Neural Networks and Reservoir ComputingMetamaterials and Metasurfaces Applications

Cited by 2,568

Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks

Mengu, D., Luo, Y., Rivenson, Y., & Ozcan, A. (2020) · IEEE Journal of Selected Topics in Quantum Electronics

Neural Networks and Reservoir ComputingRandom lasers and scattering media

Cited by 255

A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples

Gӧrӧcs, Z., Tamamitsu, M., Bianco, V., Wolf, P., Roy, S., Shindo, K., Yanny, K., Wu, Y., Koydemir, H. C., Rivenson, Y., et al. (2018) · Light: Science & Applications

Digital Holography and MicroscopyRandom lasers and scattering media

Cited by 188

Biopsy-Free in Vivo Virtual Histology of Skin Using Deep Learning

Li, J., Garfinkel, J., Zhang, X., Wu, D., Zhang, Y., de Haan, K., Wang, H., Liu, T., Bai, B., Rivenson, Y., et al. (2021) · Light: Science & Applications

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 109