Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.01111
Cited By
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting
2 November 2022
Fabian Wagner
Mareike Thies
Laura Pfaff
O. Aust
Sabrina Pechmann
D. Weidner
Noah Maul
M. Rohleder
Mingxuan Gu
Jonas Utz
Felix Denzinger
Andreas Maier
Re-assign community
ArXiv
PDF
HTML
Papers citing
"On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting"
6 / 6 papers shown
Title
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
Ran An
Ke Chen
Hongwei Li
OOD
21
0
0
23 Oct 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
18
1
0
19 Dec 2023
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
Fabian Wagner
Mareike Thies
Noah Maul
Laura Pfaff
O. Aust
Sabrina Pechmann
Christopher Syben
Andreas Maier
30
1
0
13 Feb 2023
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction
Mareike Thies
Fabian Wagner
Noah Maul
Lukas Folle
Manuela Meier
...
Mingxuan Gu
Jonas Utz
Felix Denzinger
M. Manhart
Andreas Maier
MedIm
17
9
0
05 Dec 2022
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture
Jevgenija Rudzusika
Buda Bajić
Thomas Koehler
Ozan Oktem
MedIm
32
4
0
24 May 2022
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography
Fabian Wagner
Mareike Thies
Mingxuan Gu
Yixing Huang
Sabrina Pechmann
...
O. Aust
S. Uderhardt
G. Schett
S. Christiansen
Andreas Maier
MedIm
AI4CE
34
22
0
25 Jan 2022
1
