Sparse-View X-Ray CT Reconstruction Using 𝓵1 Prior with Learned Transform. - Xuehang Zheng; Il Yong Chun; Zhipeng Li 003; Yong Long; Jeffrey A. Fessler (CoRR, 2017)

Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (GlobalSIP, 2018)

Image-domain material decomposition using data-driven sparsity models for dual-energy CT. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (ISBI, 2018)

SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. - Zhipeng Li 003; Siqi Ye; Yong Long; Saiprasad Ravishankar (ICCV Workshops, 2019)

Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. - Zhipeng Li 003; Il Yong Chun; Yong Long (ISBI, 2020)

An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. - Zhipeng Li 003; Yong Long; Il Yong Chun (CoRR, 2020)

DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2020)

Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. - Siqi Ye; Zhipeng Li 003; Michael T. McCann; Yong Long; Saiprasad Ravishankar (IEEE Trans. Medical Imaging, 2021)

Supervised transform learning for limited angle tomographic reconstruction. - Zhipeng Li 003; Gaoyu Chen; Hao Gao; Yong Long (Image Processing, 2023)