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W2S: Microscopy Data with Joint Denoising and Super-Resolution for
  Widefield to SIM Mapping

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

12 March 2020
Ruofan Zhou
Majed El Helou
D. Sage
T. Laroche
A. Seitz
Sabine Süsstrunk
ArXivPDFHTML

Papers citing "W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping"

4 / 4 papers shown
Title
How Real is Real: Evaluating the Robustness of Real-World Super
  Resolution
How Real is Real: Evaluating the Robustness of Real-World Super Resolution
Athiya Deviyani
Efe Sinan Hoplamaz
Alan Savio Paul
SupR
24
0
0
22 Oct 2022
High-throughput molecular imaging via deep learning enabled Raman
  spectroscopy
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
C. Horgan
Magnus Jensen
A. Nagelkerke
J. St-Pierre
Tom Kamiel Magda Vercauteren
Molly M. Stevens
Mads S. Bergholt
29
71
0
28 Sep 2020
Improving Blind Spot Denoising for Microscopy
Improving Blind Spot Denoising for Microscopy
A. Goncharova
A. Honigmann
Florian Jug
Alexander Krull
33
26
0
19 Aug 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,180
0
16 Sep 2016
1