Jadie Adams

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Markov Chain Monte Carlo Methods

Statistical Shape

Top Venues

Medical Image Anal.

Publications

Jadie Adams, Shireen Y. Elhabian
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds. ICLR (2024)
Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. CoRR (2024)
Jadie Adams, Krithika Iyer, Shireen Y. Elhabian
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. CoRR (2024)
Jadie Adams, Shireen Y. Elhabian
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds. CoRR (2024)
Krithika Iyer, Jadie Adams, Shireen Y. Elhabian
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. MIUA (1) (2024)
Krithika Iyer, Jadie Adams, Shireen Y. Elhabian
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. CoRR (2024)
Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker
DeepSSM: A blueprint for image-to-shape deep learning models. Medical Image Anal. 91 (2024)
Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. ShapeMI@MICCAI (2023)
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. AAAI (2023)
Jadie Adams, Shireen Y. Elhabian
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud. CoRR (2023)
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. CoRR (2023)
Jadie Adams, Shireen Y. Elhabian
Fully Bayesian VIB-DeepSSM. CoRR (2023)
Jadie Adams, Shireen Y. Elhabian
Can point cloud networks learn statistical shape models of anatomies? CoRR (2023)
Jadie Adams, Shireen Y. Elhabian
Fully Bayesian VIB-DeepSSM. MICCAI (3) (2023)
Jadie Adams
Probabilistic Shape Models of Anatomy Directly from Images. AAAI (2023)
Jadie Adams, Shireen Y. Elhabian
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. UNSURE@MICCAI (2023)
Jadie Adams, Shireen Y. Elhabian
Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? MICCAI (1) (2023)
Jadie Adams, Shireen Y. Elhabian
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. CoRR (2023)
Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. CoRR (2023)
Jadie Adams, Shireen Y. Elhabian
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. MICCAI (2) (2022)
Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. CoRR (2022)
Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. STACOM@MICCAI (2022)
Jadie Adams, Shireen Y. Elhabian
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. CoRR (2022)
Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models. CoRR (2021)
Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. ShapeMI@MICCAI (2020)
Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. CoRR (2020)