Yair Rivenson

Yair Rivenson

Yair Rivenson
Assistant Adjunct Professor
Primary Area: Physical and Wave Electronics

Office: Eng. IV, 54-137N
E-mail:

Research and Teaching Interests:
Bioimaging, Computational Imaging, Photonics
 
Awards and Recognitions
2018Optical Society of America Outstanding Reviewer Award
2018UCLA Chancellor’s Award for Postdoctoral Research
2012Binational Science Foundation (BSF) Prof. Rahamimoff Travel Grant for Young Scientists
2011Nechemia Lev-Zion Scholarship for Excellent Ph.D. Students, Israel Ministry of Education
2010Levi Eshkol excellence scholarship, awarded by the Israeli Ministry of Science & Technology
Selected Publications
  • Rivenson*, H. Wang*, Z. Wei, K. de Haan, Y. Zhang, Y. Wu, H. Günaydın, J. E. Zuckerman, T. Chong, A. E. Sisk, L. M. Westbrook, W. D. Wallace, A. Ozcan, “Virtual histological staining of unlabelled tissue autofluorescence images via deep learning,” Nature Biomedical Engineering 3, 466–477 (2019).
  • Wang*, Y. Rivenson*, Y. Jin, Z. Wei, R. Gao, H. Gunaydin, L. Bentolila, and A. Ozcan, “Deep learning achieves super-resolution in fluorescence microscopy,” Nature Methods 16, pages103–110 (2019).
  • Lin*, Y. Rivenson*, N.T. Yardimci, M. Veli, Y. Luo, M. Jarrahi and A. Ozcan, “All-Optical Machine Learning Using Diffractive Deep Neural Networks,” Science, Vol. 361, Issue 6406, pp. 1004-1008 (2018).
  • Rivenson, Z. Gorocs, H. Gunaydin, Y. Zhang, H. Wang, and A. Ozcan, “Deep Learning Microscopy,” Optica 4, 1437-1443 (2017).
  • Rivenson*, Y. Zhang*, H. Gunaydin, D. Teng, and A. Ozcan, “Phase recovery and holographic image reconstruction using deep learning in neural networks,” Light: Science & Applications (2018) 7, e17141; doi: 10.1038/lsa.2017.141.
  • Rivenson, A. Rot, S. Balber, A. Stern and J. Rosen, “Recovery of partially occluded objects by applying compressive Fresnel holography,” Opt. Lett. 37, 1757-1759 (2012).