Ross Whitaker
Affiliations: | School of Computing | University of Utah, Salt Lake City, UT |
Area:
Computer Science, StatisticsGoogle:
"Ross Whitaker"Children
Sign in to add traineeSuyash P. Awate | grad student | 2006 | University of Utah |
Samuel Gerber | grad student | 2012 | University of Utah |
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Publications
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Bhalodia R, Elhabian S, Adams J, et al. (2023) DeepSSM: A blueprint for image-to-shape deep learning models. Medical Image Analysis. 91: 103034 |
Bhalodia R, Elhabian S, Kavan L, et al. (2021) Leveraging unsupervised image registration for discovery of landmark shape descriptor. Medical Image Analysis. 73: 102157 |
Bhalodia R, Kavan L, Whitaker RT. (2020) Self-Supervised Discovery of Anatomical Shape Landmarks. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12264: 627-638 |
Javanmardi M, Huang D, Dwivedi P, et al. (2020) Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images. Ieee Access : Practical Innovations, Open Solutions. 8: 6407-6416 |
Bhalodia R, Dvoracek LA, Ayyash AM, et al. (2020) Quantifying the Severity of Metopic Craniosynostosis: A Pilot Study Application of Machine Learning in Craniofacial Surgery. The Journal of Craniofacial Surgery |
Agrawal P, Whitaker RT, Elhabian SY. (2020) An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps. Ieee Transactions On Medical Imaging |
Xing W, Elhabian S, Kirby R, et al. (2020) Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations Proceedings of the Aaai Conference On Artificial Intelligence. 34: 6462-6469 |
Javanmardi M, Huang D, Dwivedi P, et al. (2020) Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images Ieee Access. 8: 6407-6416 |
Bhalodia R, Elhabian SY, Kavan L, et al. (2019) A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11765: 391-400 |
Bhalodia R, Elhabian SY, Kavan L, et al. (2018) DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. Shape in Medical Imaging : International Workshop, Shapemi 2018, Held in Conjunction With Miccai 2018, Granada, Spain, September 20, 2018, Proceedings. International Workshop On Shape in Medical Imaging (2018 : Granada, Spain). 11167: 244-257 |