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European Radiology|January 21, 2022
High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast dosesWanjiang Li, Kaiyue Diao, Yuting Wen, et al.Journal of Hazardous Materials|November 23, 2024
KOH-modified biochar enhances nitrogen metabolism of the chloroquine phosphate-disturbed anammox: Physical binding, EPS modulation and versatile metabolic hierarchyRui Hu, Xue Chen, Yule Han, et al.Quantitative Imaging in Medicine and Surgery|October 21, 2024
Application of three-dimensional (3D) magnetic resonance (MR) Multi-Echo iN Steady-state Acquisition sequences in preoperative evaluation of lumbar disc herniation: a prospective studyXuelin Pan, Yuting Wen, Kangkang Huang, et al.Journal of Magnetic Resonance Imaging : JMRI|February 27, 2023
Deep Learning-Based Acceleration of Compressed Sensing for Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery DiseaseXi Wu, Liping Deng, Wanjiang Li, et al.European Radiology|May 20, 2023
Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning-constrained compressed sensingXi Wu, Lu Tang, Wanjiang Li, et al.European Journal of Radiology|February 22, 2023
Reducing both radiation and contrast doses for overweight patients in coronary CT angiography with 80-kVp and deep learning image reconstructionWanjiang Li, Haiyan Lu, Yuting Wen, et al.Journal of Colloid and Interface Science|June 30, 2023
Patching sulfur vacancies: A versatile approach for achieving ultrasensitive gas sensors based on transition metal dichalcogenidesXiangcheng Liu, Yue Niu, Duo Jin, et al.Pageof 4