From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach

13 May 2022

Papers citing "From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach"

4 / 4 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 Elhabian 64 0 0 11 Feb 2025
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions Hong Chao Xu Shireen Elhabian 15 5 0 19 May 2023
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 22 8 0 15 Apr 2023
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models Riddhish Bhalodia Shireen Elhabian Jadie Adams Wenzheng Tao L. Kavan R. Whitaker MedIm 81 24 0 14 Oct 2021