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Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential
  Equations

Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations

19 January 2022
Mareike Thies
Fabian Wagner
Mingxuan Gu
Lukas Folle
Lina Felsner
Andreas Maier
ArXiv (abs)PDFHTML

Papers citing "Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations"

3 / 3 papers shown
Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity Imaging
Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity ImagingIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Mengzhou Li
Chuang Niu
Ge Wang
Maya R. Amma
Krishna M. Chapagain
...
Niels J. A. De Ruiter
Jennifer A. Clark
Phillip H. Butler
Anthony Butler
Hengyong Yu
327
2
0
19 Mar 2024
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in
  Sparse-View Tomography
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
216
3
0
13 Feb 2023
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual
  Architecture
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual ArchitectureIEEE Transactions on Computational Imaging (TCI), 2022
Jevgenija Rudzusika
Buda Bajić
Thomas Koehler
Ozan Oktem
MedIm
291
6
0
24 May 2022
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