activity
20172020
most citedPhase recovery and holographic image reconstruction using deep learning in neural networks

1.1k citations · 3.8k across the 14 of their papers we have counts for

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cs.LG2017★ 164 cited

Deep learning enhanced mobile-phone microscopy

Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8

Mobile-phones have facilitated the creation of field-portable, cost-effective imaging and sensing technologies that approach laboratory-grade instrument performance. However, the o…

cs.LG2017★ 657 cited

Deep Learning Microscopy

Yair Rivenson, Zoltan Gorocs, Harun Gunaydin +3

We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its tr…