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Neural network-based on-chip spectroscopy using a scalable plasmonic
  encoder

Neural network-based on-chip spectroscopy using a scalable plasmonic encoder

1 December 2020
Calvin Brown
Artem Goncharov
Zachary S. Ballard
M. Fordham
Ashley Clemens
Yunzhe Qiu
Y. Rivenson
Aydogan Ozcan
ArXiv (abs)PDFHTML

Papers citing "Neural network-based on-chip spectroscopy using a scalable plasmonic encoder"

3 / 3 papers shown
Title
Integration of Programmable Diffraction with Digital Neural Networks
Integration of Programmable Diffraction with Digital Neural Networks
Md. Sadman Sakib Rahman
Aydogan Ozcan
71
5
0
15 Jun 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented
  Device-Informed Data Simulation
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
Jiyi Chen
Pengyu Li
Yutong Wang
Pei-Cheng Ku
Qing Qu
89
3
0
19 Mar 2024
mHealth hyperspectral learning for instantaneous spatiospectral imaging
  of hemodynamics
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
Yuhyun Ji
Sang Mok Park
Semin Kwon
J. W. Leem
V. V. Nair
Y. Tong
Young L. Kim
60
16
0
27 Mar 2023
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