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Uncertain-DeepSSM: From Images to Probabilistic Shape Models

Uncertain-DeepSSM: From Images to Probabilistic Shape Models

13 July 2020
Jadie Adams
Riddhish Bhalodia
Shireen Y. Elhabian
ArXiv (abs)PDFHTML

Papers citing "Uncertain-DeepSSM: From Images to Probabilistic Shape Models"

5 / 5 papers shown
Title
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 Y. Elhabian
106
0
0
15 May 2024
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 Y. Elhabian
67
5
0
19 May 2023
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
135
19
0
13 May 2022
Learning Population-level Shape Statistics and Anatomy Segmentation From
  Images: A Joint Deep Learning Model
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model
Wenzheng Tao
Riddhish Bhalodia
Shireen Y. Elhabian
FedML
63
3
0
10 Jan 2022
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with
  Image-and-Spatial Transformer Networks
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
Matthew Sinclair
A. Schuh
K. Hahn
K. Petersen
Ying Bai
James Batten
M. Schaap
Ben Glocker
74
32
0
18 Dec 2020
1