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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
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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
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
91
0
0
11 Feb 2025
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
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
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
Hossein Dabirian
Radmir Sultamuratov
James Herring
Carlos El Tallawi
W. Zoghbi
Andreas Mang
R. Azencott
37
1
0
04 Nov 2022
1