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Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of
  Anisotropic MRI

Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI

18 February 2022
Jörg Sander
B. D. de Vos
Ivana Ivsgum
    DiffMMedIm
ArXiv (abs)PDFHTML

Papers citing "Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI"

4 / 4 papers shown
Title
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic DataInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Rotem Benisty
Yevgenia Shteynman
Moshe Porat
Anat Illivitzki
Moti Freiman
224
1
0
23 Aug 2024
Deep Learning for Automatic Strain Quantification in Arrhythmogenic
  Right Ventricular Cardiomyopathy
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Laura Alvarez-Florez
Jörg Sander
M. Bourfiss
F. Tjong
B. Velthuis
Ivana Išgum
168
2
0
24 Nov 2023
Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion
  Generation Model
Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Model
Junpeng Tan
Xin Zhang
Yao Lv
Xiangmin Xu
Gang Li
DiffMMedIm
191
0
0
16 Oct 2023
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Jueqi Wang
J. Levman
W. H. Pinaya
Petru-Daniel Tudosiu
M. Jorge Cardoso
Razvan Marinescu
DiffMMedIm
199
35
0
23 Aug 2023
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