| Large-scale domain-specific pretraining for biomedical vision-language processing S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ... arXiv preprint arXiv:2303.00915 2 (3), 6, 2023 | 121 | 2023 |
| BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ... arXiv preprint arXiv:2303.00915, 2023 | 63 | 2023 |
| Multivariate statistical analysis of deformation momenta relating anatomical shape to neuropsychological measures N Singh, PT Fletcher, JS Preston, L Ha, R King, JS Marron, M Wiener, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 45 | 2010 |
| Quantifying anatomical shape variations in neurological disorders N Singh, PT Fletcher, JS Preston, RD King, JS Marron, MW Weiner, ... Medical image analysis 18 (3), 616-633, 2014 | 33 | 2014 |
| Evaluating shape alignment via ensemble visualization M Raj, M Mirzargar, JS Preston, RM Kirby, RT Whitaker IEEE computer graphics and applications 36 (3), 60-71, 2015 | 14 | 2015 |
| Automatic calibration and error correction for large language models via pareto optimal self-supervision T Zhao, M Wei, JS Preston, H Poon arXiv preprint arXiv:2306.16564, 2023 | 13 | 2023 |
| Using the stochastic collocation method for the uncertainty quantification of drug concentration due to depot shape variability JS Preston, T Tasdizen, CM Terry, AK Cheung IEEE Transactions on Biomedical Engineering 56 (3), 609-620, 2008 | 12 | 2008 |
| Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision S Preston, M Wei, R Rao, R Tinn, N Usuyama, M Lucas, Y Gu, ... Patterns 4 (4), 2023 | 10 | 2023 |
| Multi-layer deformation estimation for fluoroscopic imaging JS Preston, C Rottman, A Cheryauka, L Anderton, RT Whitaker, S Joshi Information Processing in Medical Imaging: 23rd International Conference …, 2013 | 9 | 2013 |
| Large-scale domain-specific pretraining for biomedical vision-language processing (2023) S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ... URL https://arxiv. org/abs/2303.00915, 0 | 9 | |
| Deformation estimation with automatic sliding boundary computation JS Preston, S Joshi, R Whitaker Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 6 | 2016 |
| Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision S Preston, M Wei, R Rao, R Tinn, N Usuyama, M Lucas, R Weerasinghe, ... arXiv preprint arXiv:2203.10442, 2022 | 4 | 2022 |
| Automatic Calibration and Error Correction for Generative Large Language Models via Pareto Optimal Self-Supervision T Zhao, M Wei, JS Preston, H Poon | 2 | 2023 |
| Pareto Optimal Learning for Estimating Large Language Model Errors T Zhao, M Wei, J Preston, H Poon Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1 | 2024 |
| Interactive Span Recommendation for Biomedical Text L Blankemeier, T Zhao, R Tinn, S Kiblawi, Y Gu, A Chaudhari, H Poon, ... Proceedings of the 5th Clinical Natural Language Processing Workshop, 373-384, 2023 | 1 | 2023 |
| Efficient Diagnosis Assignment Using Unstructured Clinical Notes L Blankemeier, J Fries, R Tinn, J Preston, N Shah, A Chaudhari Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 1 | 2023 |
| Multiscale MRF optimization for robust registration of 2D biological data JS Preston, S Joshi, R Whitaker 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 302-305, 2015 | 1 | 2015 |
| Modeling Nondiffeomorphic Motion via Composite Deformation Models JS Preston University of Utal, 2017 | | 2017 |
| AtlasWerks User’s Guide JS Preston | | 2011 |
| Processing of MRI Data for Simulation and Monitoring of Drug Delivery JS Preston School of Computing, University of Utah, 2009 | | 2009 |
