ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.08343
  4. Cited By
Computational ghost imaging using deep learning

Computational ghost imaging using deep learning

19 October 2017
Tomoyoshi Shimobaba
Yutaka Endo
Takashi Nishitsuji
Takayuki Takahashi
Yuki Nagahama
Satoki Hasegawa
M. Sano
Ryuji Hirayama
Takashi Kakue
Atsushi Shiraki
T. Ito
ArXiv (abs)PDFHTML

Papers citing "Computational ghost imaging using deep learning"

3 / 3 papers shown
Title
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
71
2,122
0
11 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
1