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Noise2Inverse: Self-supervised deep convolutional denoising for
  tomography
v1v2v3 (latest)

Noise2Inverse: Self-supervised deep convolutional denoising for tomography

31 January 2020
A. Hendriksen
D. Pelt
K. Batenburg
    SupR
ArXiv (abs)PDFHTML

Papers citing "Noise2Inverse: Self-supervised deep convolutional denoising for tomography"

6 / 6 papers shown
Title
Equivariant Imaging: Learning Beyond the Range Space
Equivariant Imaging: Learning Beyond the Range Space
Dongdong Chen
Julián Tachella
Mike E. Davies
SSL
110
103
0
26 Mar 2021
Improving Blind Spot Denoising for Microscopy
Improving Blind Spot Denoising for Microscopy
A. Goncharova
A. Honigmann
Florian Jug
Alexander Krull
77
26
0
19 Aug 2020
Self-supervised Denoising via Diffeomorphic Template Estimation:
  Application to Optical Coherence Tomography
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Guillaume Gisbert
Neel Dey
H. Ishikawa
J. Schuman
J. Fishbaugh
Guido Gerig
120
6
0
18 Aug 2020
Noise2Filter: fast, self-supervised learning and real-time
  reconstruction for 3D Computed Tomography
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
M. J. Lagerwerf
A. Hendriksen
J. Buurlage
K. Batenburg
35
11
0
03 Jul 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
H. Kobayashi
A. Solak
Joshua D. Batson
Loic A. Royer
106
14
0
11 Jun 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
223
838
0
31 Dec 2019
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