3 papers
cs.CV2023
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
Abu Zahid Bin Aziz, Jadie Adams, Shireen Elhabian
Statistical shape modeling (SSM) is an enabling quantitative tool to study anatomical shapes in various medical applications. However, directly using 3D images in these application…
eess.IV2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams, Shireen Y. Elhabian
Deep learning based methods for automatic organ segmentation have shown promise in aiding diagnosis and treatment planning. However, quantifying and understanding the uncertainty a…
cs.LG2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
Jadie Adams, Steven Lu, Krzysztof M. Gorski +2
The cosmic microwave background (CMB) is a significant source of knowledge about the origin and evolution of our universe. However, observations of the CMB are contaminated by fore…