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IEEE Transactions on Medical Imaging|September 3, 2024
LOQUAT: Low-Rank Quaternion Reconstruction for Photon-Counting CTZefan Lin, Guotao Quan, Haixian Qu, et al.
Physics in Medicine and Biology|November 20, 2025
FBFormer: interventional ultra-sparse CT reconstruction with image prior using feature back-projection and transformerShankui Li, Yibo Pei, Yanyan Liu, et al.
IEEE Transactions on Medical Imaging|August 8, 2024
PRECISION: A Physics-Constrained and Noise-Controlled Diffusion Model for Photon Counting Computed TomographyRuifeng Chen, Zhongliang Zhang, Guotao Quan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Customized Total Variation Algorithm for Metal Artifact Reduction in Computed TomographyZiheng Deng, Yufu Zhou, Weikang Zhang, et al.
IEEE Transactions on Medical Imaging|August 31, 2023
TT U-Net: Temporal Transformer U-Net for Motion Artifact Reduction Using PAD (Pseudo All-Phase Clinical-Dataset) in Cardiac CTZiheng Deng, Weikang Zhang, Kaile Chen, et al.
IEEE Transactions on Medical Imaging|February 27, 2026
MARVEL: Motion-Aware Reconstruction Via Embedded Learning of Motion Prior for Time-Resolved Cardiac CTZiheng Deng, Xiaowei Liu, Weikang Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 22, 2023
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic featuresLu Qiu, Lu Zhao, Runping Hou, et al.
IEEE Transactions on Medical Imaging|September 4, 2025
A Physics-ASIC Architecture-Driven Deep Learning Photon-Counting Detector Model Under Limited DataXiaopeng Yu, Qianyu Wu, Wenhui Qin, et al.
Physics in Medicine and Biology|October 29, 2020
DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imagingZhenxing Huang, Zixiang Chen, Jincai Chen, et al.
Atherosclerosis|August 26, 2021
Phenylacetylglutamine is associated with the degree of coronary atherosclerotic severity assessed by coronary computed tomographic angiography in patients with suspected coronary artery diseaseYang Liu, Shaoyan Liu, Zhizhuang Zhao, et al.
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