The following publications are possibly variants of this publication:
- MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PETXueqi Guo, Bo Zhou 0009, Xiongchao Chen, Chi Liu, Nicha C. Dvornek. miccai 2022: 163-172 [doi]
- Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural networkXueqi Guo, Bo Zhou 0009, David Pigg, Bruce Spottiswoode, Michael E. Casey, Chi Liu, Nicha C. Dvornek. mia, 80:102524, 2022. [doi]
- Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural NetworkNuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li. miccai 2020: 793-802 [doi]
- Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep LearningLuyao Shi, Yihuan Lu, Nicha C. Dvornek, Christopher A. Weyman, Edward J. Miller, Albert J. Sinusas, Chi Liu. tmi, 40(12):3293-3304, 2021. [doi]
- Corrections to "Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity"Kuang Gong, Jinxiu Cheng-Liao, Guobao Wang, Kevin T. Chen, Ciprian Catana, Jinyi Qi. tmi, 37(8):1955, 2018. [doi]