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08/15/2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Deep learning based methods for automatic organ segmentation have shown ...
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05/23/2023
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
We introduce Point2SSM, a novel unsupervised learning approach that can ...
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05/09/2023
Fully Bayesian VIB-DeepSSM
Statistical shape modeling (SSM) enables population-based quantitative a...
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05/09/2023
Can point cloud networks learn statistical shape models of anatomies?
Statistical Shape Modeling (SSM) is a valuable tool for investigating an...
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02/24/2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
The cosmic microwave background (CMB) is a significant source of knowled...
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09/06/2022
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach
Clinical investigations of anatomy's structural changes over time could ...
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05/13/2022
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Statistical shape modeling (SSM) directly from 3D medical images is an u...
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10/14/2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Statistical shape modeling (SSM) characterizes anatomical variations in ...
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07/13/2020
