| Training speech recognition systems using word sequences D Thomson, J Adams, K Boehme US Patent 10,388,272, 2019 | 250 | 2019 |
| Transcription generation from multiple speech recognition systems D Thomson, J Adams, J Skaggs, J McClellan, S Roylance US Patent 10,573,312, 2020 | 220 | 2020 |
| Training of speech recognition systems D Thomson, J Adams US Patent 11,170,761, 2021 | 141 | 2021 |
| Uncertain-deepssm: From images to probabilistic shape models J Adams, R Bhalodia, S Elhabian Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020 | 25 | 2020 |
| DeepSSM: A blueprint for image-to-shape deep learning models R Bhalodia, S Elhabian, J Adams, W Tao, L Kavan, R Whitaker Medical Image Analysis 91, 103034, 2024 | 15 | 2024 |
| From images to probabilistic anatomical shapes: a deep variational bottleneck approach J Adams, S Elhabian International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 15 | 2022 |
| Fully bayesian vib-deepssm J Adams, SY Elhabian International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| Benchmarking scalable epistemic uncertainty quantification in organ segmentation J Adams, SY Elhabian International Workshop on Uncertainty for Safe Utilization of Machine …, 2023 | 5 | 2023 |
| Can point cloud networks learn statistical shape models of anatomies? J Adams, SY Elhabian International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| Learning spatiotemporal statistical shape models for non-linear dynamic anatomies J Adams, N Khan, A Morris, S Elhabian Frontiers in Bioengineering and Biotechnology 11, 1086234, 2023 | 4 | 2023 |
| Spatiotemporal cardiac statistical shape modeling: A data-driven approach J Adams, N Khan, A Morris, S Elhabian International Workshop on Statistical Atlases and Computational Models of …, 2022 | 4 | 2022 |
| Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud J Adams, S Elhabian arXiv preprint arXiv:2305.14486, 2023 | 3 | 2023 |
| Your friendly neighborhood Voderberg tile J Adams, G Lopez, C Mann, N Tran Mathematics Magazine 93 (2), 83-90, 2020 | 2 | 2020 |
| SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images K Iyer, J Adams, SY Elhabian arXiv preprint arXiv:2404.17967, 2024 | 1 | 2024 |
| Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models AZB Aziz, J Adams, S Elhabian International Workshop on Shape in Medical Imaging, 157-172, 2023 | 1 | 2023 |
| On the interface of the snow and human sciences RE Costa, J Adams, N Maclean Proceedings of the International Snow Science Workshop, 2016 | 1 | 2016 |
| Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images J Adams, K Iyer, S Elhabian arXiv preprint arXiv:2405.09697, 2024 | | 2024 |
| Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds J Adams, S Elhabian arXiv preprint arXiv:2405.09707, 2024 | | 2024 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation R Nihalaani, T Kataria, J Adams, SY Elhabian arXiv preprint arXiv:2403.12290, 2024 | | 2024 |
| Probabilistic shape models of anatomy directly from images J Adams Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16107 …, 2023 | | 2023 |
Shireen Y. ElhabianAssociate Professor, Kahlert School of Computing, SCI Institute, University of Utah在 sci.utah.edu 的电子邮件经过验证
