ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2502.07145
  4. Cited By
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

11 February 2025
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
ArXivPDFHTML

Papers citing "Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes"

4 / 4 papers shown
Title
From Images to Probabilistic Anatomical Shapes: A Deep Variational
  Bottleneck Approach
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Jadie Adams
Shireen Y. Elhabian
118
19
0
13 May 2022
VerSe: A Vertebrae Labelling and Segmentation Benchmark for
  Multi-detector CT Images
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina
M. Husseini
Amirhossein Bayat
Maximilian Löffler
Hans Liebl
...
Ben Glocker
A. Valentinitsch
Markus Rempfler
Bjorn H. Menze
Jan S. Kirschke
26
252
0
24 Jan 2020
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
78
846
0
25 Feb 2019
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
247
7,622
0
30 Jun 2016
1