| SPULTRA: Low-dose CT image reconstruction with joint statistical and learned image models S Ye, S Ravishankar, Y Long, JA Fessler IEEE transactions on medical imaging 39 (3), 729-741, 2019 | 31 | 2019 |
| Unified supervised-unsupervised (super) learning for x-ray ct image reconstruction S Ye, Z Li, MT McCann, Y Long, S Ravishankar IEEE Transactions on Medical Imaging 40 (11), 2986-3001, 2021 | 12 | 2021 |
| Color correction for large-baseline multiview video S Ye, SP Lu, A Munteanu Signal Processing: Image Communication 53, 40-50, 2017 | 12 | 2017 |
| SUPER learning: a supervised-unsupervised framework for low-dose CT image reconstruction Z Li, S Ye, Y Long, S Ravishankar Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Momentum-net for low-dose CT image reconstruction S Ye, Y Long, IY Chun 2020 54th Asilomar Conference on Signals, Systems, and Computers, 1405-1409, 2020 | 9 | 2020 |
| Model-based reconstruction with learning: From unsupervised to supervised and beyond Z Huang, S Ye, MT McCann, S Ravishankar arXiv preprint arXiv:2103.14528, 2021 | 8 | 2021 |
| Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction S Ye, S Ravishankar, Y Long, JA Fessler 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 6 | 2017 |
| Super-resolution biomedical imaging via reference-free statistical implicit neural representation S Ye, L Shen, MT Islam, L Xing Physics in Medicine & Biology 68 (20), 205020, 2023 | 1 | 2023 |
| Quantifying particle concentration via AI-enhanced optical coherence tomography S Ye, L Xing, D Myung, F Chen Nanoscale 16 (14), 6934-6938, 2024 | | 2024 |
| Accelerating Volumetric CT and MRI Imaging by Reference-Free Deep Learning Transformation from Low-Resolution to High-Resolution S Ye, L Shen, MT Islam, L Xing International Journal of Radiation Oncology, Biology, Physics 117 (2), e742, 2023 | | 2023 |
Saiprasad RavishankarMichigan State UniversityVerified email at msu.edu
