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

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

13 May 2022
Jadie Adams
Shireen Elhabian
ArXivPDFHTML

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

16 / 16 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 Elhabian
64
0
0
11 Feb 2025
Optimization-Driven Statistical Models of Anatomies using Radial Basis
  Function Shape Representation
Optimization-Driven Statistical Models of Anatomies using Radial Basis Function Shape Representation
Hong Chao Xu
Shireen Elhabian
109
0
0
24 Nov 2024
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented
  Images
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
Krithika S. Iyer
Shireen Elhabian
33
0
0
02 Jul 2024
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from
  Point Clouds
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
Jadie Adams
Shireen Elhabian
68
0
0
15 May 2024
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical
  Images
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
Jadie Adams
Krithika S. Iyer
Shireen Elhabian
27
2
0
15 May 2024
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from
  Unsegmented Medical Images
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
Krithika S. Iyer
Jadie Adams
Shireen Elhabian
MedIm
33
4
0
27 Apr 2024
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy
  Statistical Shape Modeling Directly From Images
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images
Janmesh Ukey
Tushar Kataria
Shireen Elhabian
MedIm
30
1
0
16 Mar 2024
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
Abu Zahid Bin Aziz
Jadie Adams
Shireen Elhabian
24
2
0
02 Oct 2023
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From
  Images
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images
Mokshagna Sai Teja Karanam
Tushar Kataria
Krithika S. Iyer
Shireen Elhabian
MedIm
15
3
0
06 Jul 2023
Point2SSM: Learning Morphological Variations of Anatomies from Point
  Cloud
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
Jadie Adams
Shireen Elhabian
3DPC
21
10
0
23 May 2023
Image2SSM: Reimagining Statistical Shape Models from Images with Radial
  Basis Functions
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
Hong Chao Xu
Shireen Elhabian
28
5
0
19 May 2023
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
Krithika S. Iyer
Shireen Elhabian
17
9
0
13 May 2023
Fully Bayesian VIB-DeepSSM
Fully Bayesian VIB-DeepSSM
Jadie Adams
Shireen Elhabian
17
10
0
09 May 2023
Can point cloud networks learn statistical shape models of anatomies?
Can point cloud networks learn statistical shape models of anatomies?
Jadie Adams
Shireen Elhabian
3DPC
45
5
0
09 May 2023
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
24
8
0
15 Apr 2023
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia
Shireen Elhabian
Jadie Adams
Wenzheng Tao
L. Kavan
R. Whitaker
MedIm
95
24
0
14 Oct 2021
1