657 citations · 871 across the 4 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…