Jadie Adams - RankMe

31 papers A* 3Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making. CoRR Bharadwaj Ravichandran, David Joy, Paul Elliott, Brian Hu, Jadie Adams, Christopher Funk, Emily Veenhuis, Anthony Hoogs, Arslan Basharat
2025	J	`jnl`	Personalized Attacks of Social Engineering in Multi-turn Conversations - LLM Agents for Simulation and Detection. CoRR Tharindu Kumarage, Cameron Johnson, Jadie Adams, Lin Ai, Matthias Kirchner, Anthony Hoogs, Joshua Garland, Julia Hirschberg, Arslan Basharat, Huan Liu
2025	J	`jnl`	Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression. CoRR Jadie Adams, Brian Hu, Emily Veenhuis, David Joy, Bharadwaj Ravichandran, Aaron Bray, Anthony Hoogs, Arslan Basharat
2024	J	`jnl`	DeepSSM: A blueprint for image-to-shape deep learning models. Medical Image Anal. Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker
2024	—	`conf`	Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. MICCAI (10) Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian
2024	J	`jnl`	Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. CoRR Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian
2024	J	`jnl`	Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds. CoRR Jadie Adams, Shireen Y. Elhabian
2024	A*	`conf`	Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds. ICLR Jadie Adams, Shireen Y. Elhabian
2024	—	`conf`	SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. MIUA (1) Krithika Iyer, Jadie Adams, Shireen Y. Elhabian
2024	J	`jnl`	SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. CoRR Krithika Iyer, Jadie Adams, Shireen Y. Elhabian
2024	—	`conf`	Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. ShapeMI@MICCAI Jadie Adams, Krithika Iyer, Shireen Y. Elhabian
2024	J	`jnl`	Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. CoRR Jadie Adams, Krithika Iyer, Shireen Y. Elhabian
2023	—	`conf`	Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. UNSURE@MICCAI Jadie Adams, Shireen Y. Elhabian
2023	J	`jnl`	Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. CoRR Jadie Adams, Shireen Y. Elhabian
2023	—	`conf`	Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? MICCAI (1) Jadie Adams, Shireen Y. Elhabian
2023	J	`jnl`	Can point cloud networks learn statistical shape models of anatomies? CoRR Jadie Adams, Shireen Y. Elhabian
2023	A*	`conf`	Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. AAAI Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
2023	J	`jnl`	Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. CoRR Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
2023	—	`conf`	Fully Bayesian VIB-DeepSSM. MICCAI (3) Jadie Adams, Shireen Y. Elhabian
2023	J	`jnl`	Fully Bayesian VIB-DeepSSM. CoRR Jadie Adams, Shireen Y. Elhabian
2023	J	`jnl`	Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud. CoRR Jadie Adams, Shireen Y. Elhabian
2023	A*	`conf`	Probabilistic Shape Models of Anatomy Directly from Images. AAAI Jadie Adams
2023	—	`conf`	Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. ShapeMI@MICCAI Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian
2023	J	`jnl`	Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. CoRR Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian
2022	—	`conf`	From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. MICCAI (2) Jadie Adams, Shireen Y. Elhabian
2022	J	`jnl`	From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. CoRR Jadie Adams, Shireen Y. Elhabian
2022	—	`conf`	Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. STACOM@MICCAI Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian
2022	J	`jnl`	Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. CoRR Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian
2021	J	`jnl`	DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models. CoRR Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker
2020	—	`conf`	Uncertain-DeepSSM: From Images to Probabilistic Shape Models. ShapeMI@MICCAI Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian
2020	J	`jnl`	Uncertain-DeepSSM: From Images to Probabilistic Shape Models. CoRR Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian