Siqi Ye
Cited by
Cited by
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
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
Color correction for large-baseline multiview video
S Ye, SP Lu, A Munteanu
Signal Processing: Image Communication 53, 40-50, 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
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
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
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
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
Quantifying particle concentration via AI-enhanced optical coherence tomography
S Ye, L Xing, D Myung, F Chen
Nanoscale 16 (14), 6934-6938, 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
The system can't perform the operation now. Try again later.
Articles 1–10