| 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 | 37 | 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 | 18 | 2021 |
| Color correction for large-baseline multiview video S Ye, SP Lu, A Munteanu Signal Processing: Image Communication 53, 40-50, 2017 | 13 | 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 | 7 | 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 | 4 | 2023 |
| Dual-Energy CT Imaging from Single Energy CT Sinograms By Exploiting the Cross-Energy Information with Transformer Networks B Li, S Ye, L Zhu, Y Chen, L Liu, L Yu, L Xing AAPM 66th Annual Meeting & Exhibition, 2024 | 1 | 2024 |
| Enhancing Spatial Resolution of Dosimetric Measurements By Deep Learning S Wang, C Gibson, S Ye, MR Ashraf, L Skinner, L Wang, L Xing AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| End-to-End Neural Representation for Direct Reconstruction of Limited-Angle PET Imaging S Ye, S Makkar, J Hrbacek, DC Weber, AJ Lomax, C Winterhalter, L Xing AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| On-Treatment Joint CT-MR Imaging with a Single Pair of Prior Images and Sparse X-Ray Projections O Pastor-Serrano, L Qiu, S Ye, L Yu, E Kidd, TR Niedermayr, L Liu, X Gu, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| Implicit Neural Representation Based Blind Deconvolution for Efficient High-Resolution Dose Calculation S Ye, S Liu, Y Gao, L Xing AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| Patient Position Verification in Non-Coplanar SRS with Dual X-Ray Projections Via 2D-3D Image Registration S Ye, Y Gao, Y Chen, L Xing AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| 2894: Patient position verification in non-coplanar SRS with dual X-ray projections via 2D-3D registration S Ye, L Xing Radiotherapy and Oncology 194, S4116-S4117, 2024 | | 2024 |
| Super Resolution Dose Calculation Via Implicit Neural Representation Based Blind Deconvolution S Ye, S Liu, Y Gao, L Xing International Conference on the use of Computers in Radiation therapy (ICCR), 2024 | | 2024 |
| 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 |
| Enhancing the Z-Axis Resolution of CT Imaging with Direction-Aware Implicit Neural Representation S Ye, Y Chen, Y Gao, L Shen, L Xing AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
| Partial-ring PET Image Correction using Implicit Neural Representation Learning S Makkar, S Ye, M Béguin, G Dissertori, J Hrbacek, A Lomax, ... | | |
Saiprasad RavishankarMichigan State UniversityVerified email at msu.edu