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Learning from Irregularly Sampled Data for Endomicroscopy
  Super-resolution: A Comparative Study of Sparse and Dense Approaches

Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches

29 November 2019
A. Szczotka
D. I. Shakir
D. Ravì
Matthew J. Clarkson
Stephen P. Pereira
Tom Kamiel Magda Vercauteren
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Papers citing "Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches"

2 / 2 papers shown
Title
Adversarial training with cycle consistency for unsupervised
  super-resolution in endomicroscopy
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
D. Ravì
A. Szczotka
Stephen P. Pereira
Tom Kamiel Magda Vercauteren
SupR
MedIm
27
49
0
21 Jan 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
310
10,621
0
19 Feb 2017
1