Zhipeng Li
Zhipeng Li
University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University
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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
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
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
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
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
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
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
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
Supervised transform learning for limited angle tomographic reconstruction
Z Li, G Chen, H Gao, Y Long
Medical Imaging 2023: Image Processing 12464, 284-291, 2023
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
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