Uncertain-DeepSSM: From Images to Probabilistic Shape Models. - Jadie Adams; Riddhish Bhalodia; Shireen Y. Elhabian (ShapeMI@MICCAI, 2020)

From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. - Jadie Adams; Shireen Y. Elhabian (MICCAI (2), 2022)

Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. - Jadie Adams; Nawazish Khan; Alan Morris; Shireen Y. Elhabian (STACOM@MICCAI, 2022)

Probabilistic Shape Models of Anatomy Directly from Images. - Jadie Adams (AAAI, 2023)

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. - Jadie Adams; Steven Lu 001; Krzysztof M. Gorski; Graca Rocha; Kiri L. Wagstaff (AAAI, 2023)

Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? - Jadie Adams; Shireen Y. Elhabian (MICCAI (1), 2023)

Fully Bayesian VIB-DeepSSM. - Jadie Adams; Shireen Y. Elhabian (MICCAI (3), 2023)

Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. - Jadie Adams; Shireen Y. Elhabian (UNSURE@MICCAI, 2023)

Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. - Abu Zahid Bin Aziz; Jadie Adams; Shireen Y. Elhabian (ShapeMI@MICCAI, 2023)

Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud. - Jadie Adams; Shireen Y. Elhabian (CoRR, 2023)

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds. - Jadie Adams; Shireen Y. Elhabian (ICLR, 2024)

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. - Jadie Adams; Krithika Iyer; Shireen Y. Elhabian (ShapeMI@MICCAI, 2024)

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. - Rachaell Nihalaani; Tushar Kataria; Jadie Adams; Shireen Y. Elhabian (MICCAI (10), 2024)

SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. - Krithika Iyer; Jadie Adams; Shireen Y. Elhabian (MIUA (1), 2024)

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds. - Jadie Adams; Shireen Y. Elhabian (CoRR, 2024)

DeepSSM: A blueprint for image-to-shape deep learning models. - Riddhish Bhalodia; Shireen Y. Elhabian; Jadie Adams; Wenzheng Tao; Ladislav Kavan; Ross T. Whitaker (Medical Image Anal., 2024)

Personalized Attacks of Social Engineering in Multi-turn Conversations - LLM Agents for Simulation and Detection. - Tharindu Kumarage; Cameron Johnson; Jadie Adams; Lin Ai; Matthias Kirchner; Anthony Hoogs; Joshua Garland; Julia Hirschberg; Arslan Basharat; Huan Liu 001 (CoRR, 2025)

ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making. - Bharadwaj Ravichandran; David Joy; Paul Elliott; Brian Hu 001; Jadie Adams; Christopher Funk; Emily Veenhuis; Anthony Hoogs; Arslan Basharat (CoRR, 2025)