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Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

4 June 2024
Moritz Rempe
Fabian Horst
C. Seibold
Boris A. Hadaschik
Marc Schlimbach
Jan Egger
Kevin Kröninger
Felix Breuer
M. Blaimer
Jens Kleesiek
ArXivPDFHTML

Papers citing "Tumor likelihood estimation on MRI prostate data by utilizing k-Space information"

2 / 2 papers shown
Title
k-strip: A novel segmentation algorithm in k-space for the application
  of skull stripping
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Moritz Rempe
F. Mentzel
Kelsey L. Pomykala
Johannes Haubold
F. Nensa
K. Kröninger
Jan Egger
Jens Kleesiek
16
8
0
19 May 2022
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
37
41
0
17 Sep 2021
1