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DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from
  Raw Images

DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images

28 September 2018
Riddhish Bhalodia
Shireen Y. Elhabian
L. Kavan
Ross T. Whitaker
ArXiv (abs)PDFHTML

Papers citing "DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images"

34 / 34 papers shown
Title
CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images
CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images
Tonmoy Hossain
Miaomiao Zhang
104
0
0
21 Mar 2025
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 Y. Elhabian
182
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 Y. Elhabian
147
0
0
24 Nov 2024
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
Xin You
Yixin Lou
Minghui Zhang
Chuyan Zhang
Yun Gu
84
0
0
11 Jul 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 Y. Elhabian
59
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 Y. Elhabian
MedIm
64
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 Y. Elhabian
MedIm
81
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 Y. Elhabian
70
2
0
02 Oct 2023
Self-supervised Landmark Learning with Deformation Reconstruction and
  Cross-subject Consistency Objectives
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives
Chun-Hung Chao
Marc Niethammer
47
1
0
09 Aug 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 Y. Elhabian
MedIm
75
4
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 Y. Elhabian
3DPC
77
11
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 Y. Elhabian
67
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 Y. Elhabian
55
10
0
13 May 2023
Fully Bayesian VIB-DeepSSM
Fully Bayesian VIB-DeepSSM
Jadie Adams
Shireen Y. Elhabian
59
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 Y. Elhabian
3DPC
101
6
0
09 May 2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement
  Learning and Shape Prior
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Kaiwen Wan
Lei Li
Dengqiang Jia
Yuxin Li
Wei Qian
...
X. Mu
Xin Gao
Sijia Wang
Fuping Wu
Xiahai Zhuang
56
6
0
13 Jan 2023
pyssam -- a Python library for statistical modelling of biomedical shape
  and appearance
pyssam -- a Python library for statistical modelling of biomedical shape and appearance
Josh Williams
A. Ozel
U. Wolfram
21
1
0
11 Jan 2023
Predicting adverse outcomes following catheter ablation treatment for
  atrial fibrillation
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
J. Quiroz
D. Brieger
Louisa R Jorm
R. Sy
B. Hsu
B. Gallego
73
0
0
22 Nov 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang
Miaomiao Zhang
82
10
0
25 Oct 2022
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
Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
37
41
0
21 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
54
6
0
02 Mar 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
Leveraging Unsupervised Image Registration for Discovery of Landmark
  Shape Descriptor
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
Riddhish Bhalodia
Shireen Y. Elhabian
L. Kavan
Ross T. Whitaker
37
5
0
13 Nov 2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia
Shireen Y. Elhabian
Jadie Adams
Wenzheng Tao
L. Kavan
R. Whitaker
MedIm
142
25
0
14 Oct 2021
Hybrid graph convolutional neural networks for landmark-based anatomical
  segmentation
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Nicolás Gaggion
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
59
8
0
17 Jun 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju
S. Miao
Mei Han
Le Lu
Junzhou Huang
Adam P. Harrison
3DVMedIm
57
33
0
07 Apr 2021
Annotation-Efficient Learning for Medical Image Segmentation based on
  Noisy Pseudo Labels and Adversarial Learning
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Lu Wang
D. Guo
Guotai Wang
Shaoting Zhang
MedImGAN
60
30
0
29 Dec 2020
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
Probabilistic 3D surface reconstruction from sparse MRI information
Probabilistic 3D surface reconstruction from sparse MRI information
Katarína Tóthová
Sarah Parisot
Matthew Lee
Esther Puyol-Antón
A. King
Marc Pollefeys
E. Konukoglu
3DV
42
20
0
05 Oct 2020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Jadie Adams
Riddhish Bhalodia
Shireen Y. Elhabian
46
24
0
13 Jul 2020
Self-Supervised Discovery of Anatomical Shape Landmarks
Self-Supervised Discovery of Anatomical Shape Landmarks
Riddhish Bhalodia
L. Kavan
Ross T. Whitaker
60
10
0
13 Jun 2020
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of
  Deep Networks under Limited Training Budgets
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
Riddhish Bhalodia
Shireen Y. Elhabian
L. Kavan
Ross T. Whitaker
18
1
0
13 Jun 2019
Super-realtime facial landmark detection and shape fitting by deep
  regression of shape model parameters
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
M. Kopaczka
Justus Schock
Dorit Merhof
3DPCCVBM
49
12
0
09 Feb 2019
1