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Table of Contents
Methods
Composition of Transformations in the Registration of Sets of Points or Oriented Points
Uncertainty reduction in contour-based 3D/2D registration of bone surfaces
Learning Shape Priors from Pieces
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
Learning
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
D-Net: Siamese based Network for Arbitrarily Oriented Volume Alignment
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
Applications
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints
Learning a statistical full spine model from partial observations
Morphology-based individual vertebrae classification
Patient Specific Classification of Dental Root Canal and Crown Shape.
Composition of Transformations in the Registration of Sets of Points or Oriented Points
Uncertainty reduction in contour-based 3D/2D registration of bone surfaces
Learning Shape Priors from Pieces
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
Learning
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
D-Net: Siamese based Network for Arbitrarily Oriented Volume Alignment
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
Applications
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints
Learning a statistical full spine model from partial observations
Morphology-based individual vertebrae classification
Patient Specific Classification of Dental Root Canal and Crown Shape.