Jadie Adams

Orcid: 0000-0001-7774-5148

According to our database1, Jadie Adams authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DeepSSM: A blueprint for image-to-shape deep learning models.
Medical Image Anal., January, 2024

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation.
CoRR, 2024

2023
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud.
CoRR, 2023

Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Fully Bayesian VIB-DeepSSM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Can Point Cloud Networks Learn Statistical Shape Models of Anatomies?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Probabilistic Shape Models of Anatomy Directly from Images.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020


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