DECT-MULTRA: Dual-energy CT image decomposition with learned mixed material models and efficient clustering Z Li, S Ravishankar, Y Long, JA Fessler IEEE transactions on medical imaging 39 (4), 1223-1234, 2019 | 34 | 2019 |
Sparse-View X-Ray CT Reconstruction Using Prior with Learned Transform X Zheng, IY Chun, Z Li, Y Long, JA Fessler arXiv preprint arXiv:1711.00905, 2017 | 17 | 2017 |
Unified supervised-unsupervised (super) learning for x-ray ct image reconstruction S Ye*, Z Li*, MT McCann, Y Long, S Ravishankar (* equal contribution) IEEE Transactions on Medical Imaging, 2021 | 16 | 2021 |
An improved iterative neural network for high‐quality image‐domain material decomposition in dual‐energy CT Z Li, Y Long, IY Chun Medical physics 50 (4), 2195-2211, 2023 | 13 | 2023 |
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 |
Image-domain material decomposition using an iterative neural network for dual-energy CT Z Li, IY Chun, Y Long 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 651-655, 2020 | 8 | 2020 |
Image-domain material decomposition using data-driven sparsity models for dual-energy CT Z Li, S Ravishankar, Y Long, JA Fessler 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 52-56, 2018 | 8 | 2018 |
Image-domain multi-material decomposition using a union of cross-material models Z Li, S Ravishankar, Y Long 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 5 | 2019 |
Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition Z Li, S Ravishankar, Y Long, JA Fessler 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 1 | 2018 |
Supervised transform learning for limited angle tomographic reconstruction Z Li, G Chen, H Gao, Y Long Medical Imaging 2023: Image Processing 12464, 292-299, 2023 | | 2023 |