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ORCIDShireen Y. Elhabian
- > Home > Persons > Shireen Y. Elhabian
Publications
- 2024
[j14]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: 103034 (2024)- [c73]Jadie Adams, Shireen Y. Elhabian:
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds. ICLR 2024 - [c70]Krithika Iyer, Jadie Adams, Shireen Y. Elhabian:
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. MIUA (1) 2024: 142-157 - [i42]Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian:
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. CoRR abs/2403.12290 (2024) - [i41]Krithika Iyer, Jadie Adams, Shireen Y. Elhabian:
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. CoRR abs/2404.17967 (2024) - [i40]Jadie Adams, Krithika Iyer, Shireen Y. Elhabian:
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. CoRR abs/2405.09697 (2024) - [i39]Jadie Adams, Shireen Y. Elhabian:
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds. CoRR abs/2405.09707 (2024) - 2023
- [c68]Jadie Adams, Shireen Y. Elhabian:
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. UNSURE@MICCAI 2023: 53-63 - [c66]Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian:
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. ShapeMI@MICCAI 2023: 157-172 - [c64]Jadie Adams, Shireen Y. Elhabian:
Fully Bayesian VIB-DeepSSM. MICCAI (3) 2023: 346-356 - [c63]Jadie Adams, Shireen Y. Elhabian:
Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? MICCAI (1) 2023: 486-496 - [i34]Jadie Adams, Shireen Y. Elhabian:
Can point cloud networks learn statistical shape models of anatomies? CoRR abs/2305.05610 (2023) - [i32]Jadie Adams, Shireen Y. Elhabian:
Fully Bayesian VIB-DeepSSM. CoRR abs/2305.05797 (2023) - [i29]Jadie Adams, Shireen Y. Elhabian:
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud. CoRR abs/2305.14486 (2023) - [i26]Jadie Adams, Shireen Y. Elhabian:
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. CoRR abs/2308.07506 (2023) - [i24]Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian:
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. CoRR abs/2310.01529 (2023) - 2022
- [c55]Jadie Adams, Shireen Y. Elhabian:
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. MICCAI (2) 2022: 474-484 - [c54]Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian:
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. STACOM@MICCAI 2022: 143-156 - [i21]Jadie Adams, Shireen Y. Elhabian:
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. CoRR abs/2205.06862 (2022) - [i18]Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian:
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. CoRR abs/2209.02736 (2022) - 2021
- [i16]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 abs/2110.07152 (2021) - 2020
- [c46]Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian:
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. ShapeMI@MICCAI 2020: 57-72 - [i13]Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian:
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. CoRR abs/2007.06516 (2020)
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