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Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

14 September 2022
David Lüdke
Tamaz Amiranashvili
F. Ambellan
Ivan Ezhov
Bjoern Menze
S. Zachow
    MedIm
ArXivPDFHTML

Papers citing "Landmark-free Statistical Shape Modeling via Neural Flow Deformations"

5 / 5 papers shown
Title
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
91
0
0
11 Feb 2025
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented
  Images
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
Krithika S. Iyer
Shireen Y. Elhabian
64
0
0
02 Jul 2024
S3M: Scalable Statistical Shape Modeling through Unsupervised
  Correspondences
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Lennart Bastian
Alexander Bauman
Emily Hoppe
Vincent Burgin
Ha Young Kim
Mahdi Saleh
Benjamin Busam
Nassir Navab
35
8
0
15 Apr 2023
Implicit Neural Representations for Modeling of Abdominal Aortic
  Aneurysm Progression
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression
Dieuwertje Alblas
Marie‐Claude Hofman
Christoph Brune
K. K. Yeung
J. Wolterink
MedIm
AI4CE
41
4
0
02 Mar 2023
Automatic classification of deformable shapes
Automatic classification of deformable shapes
Hossein Dabirian
Radmir Sultamuratov
James Herring
Carlos El Tallawi
W. Zoghbi
Andreas Mang
R. Azencott
37
1
0
04 Nov 2022
1