| Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth NS Burris, Z Bian, J Dominic, J Zhong, IB Houben, TMJ van Bakel, ... Radiology 302 (1), 218-225, 2022 | 18 | 2022 |
| Improving data-efficiency and robustness of medical imaging segmentation using inpainting-based self-supervised learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... Bioengineering 10 (2), 207, 2023 | 12 | 2023 |
| SSFD: Self-supervised feature distance as an MR image reconstruction quality metric PM Adamson, B Gunel, J Dominic, AD Desai, D Spielman, S Vasanawala, ... NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 11 | 2021 |
| Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration Z Bian, J Zhong, J Dominic, GE Christensen, CR Hatt, NS Burris Medical Physics 49 (4), 2514-2530, 2022 | 7 | 2022 |
| Using Deep Feature Distances for Evaluating MR Image Reconstruction Quality PM Adamson, AD Desai, J Dominic, C Bluethgen, JP Wood, AB Syed, ... NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | 6 | 2023 |
| Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... arXiv preprint arXiv:2210.07936, 2022 | | 2022 |
| Self-Supervised Deep Learning for Knee MRI Segmentation using Limited Labeled Training Datasets J Dominic, A Desai, A Schmidt, E Rubin, G Gold, B Hargreaves, ... | | |
| SSFD: Self-Supervised Feature Distance Outperforms Conventional MR Image Reconstruction Quality Metrics PM Adamson, J Dominic, A Desai, C Bluethgen, JP Wood, AB Syed, ... | | |
Arjun DesaiResearcher, Stanford UniversityVerified email at stanford.edu