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Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography
25 January 2022
Fabian Wagner
Mareike Thies
Mingxuan Gu
Yixing Huang
Sabrina Pechmann
Mayank Patwari
Stefan B. Ploner
O. Aust
S. Uderhardt
G. Schett
S. Christiansen
Andreas K. Maier
MedIm
AI4CE
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Papers citing
"Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography"
7 / 7 papers shown
Title
Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering
Yipeng Sun
Linda-Sophie Schneider
Mingxuan Gu
Siyuan Mei
Chengze Ye
Fabian Wagner
Siming Bayer
Andreas K. Maier
15
0
0
18 Apr 2025
Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
Siyuan Mei
F. Fan
Fabian Wagner
Mareike Thies
Mingxuan Gu
Yipeng Sun
Andreas K. Maier
MedIm
21
1
0
04 Apr 2024
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 K. Maier
11
1
0
13 Feb 2023
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising
Fabian Wagner
Mareike Thies
Laura Pfaff
Noah Maul
Sabrina Pechmann
...
D. Weidner
Georgiana Neag
S. Uderhardt
Jang-Hwan Choi
Andreas K. Maier
16
5
0
09 Dec 2022
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 K. Maier
MedIm
10
9
0
05 Dec 2022
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting
Fabian Wagner
Mareike Thies
Laura Pfaff
O. Aust
Sabrina Pechmann
...
M. Rohleder
Mingxuan Gu
Jonas Utz
Felix Denzinger
Andreas K. Maier
18
10
0
02 Nov 2022
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT
Fabian Wagner
Mareike Thies
Felix Denzinger
Mingxuan Gu
Mayank Patwari
Stefan B. Ploner
Noah Maul
Laura Pfaff
Yixing Huang
Andreas K. Maier
MedIm
13
16
0
15 Jul 2022
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