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Jinjuan Lu

Showing results (1-10 of 12) with videos related to

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Frontiers in Oncology|January 28, 2021
Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung AdenocarcinomaLin Qi, Ke Xue, Yongjun Cai, et al.
Respiratory Research|November 11, 2022
Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristicsJinjuan Lu, Haiyan Ge, Lin Qi, et al.
BMC Pulmonary Medicine|March 16, 2023
Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function populationYuling Yang, Haiyan Ge, Jinjuan Lu, et al.
Insights Into Imaging|October 2, 2024
Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based studyBin Chen, Pan Gao, Yuling Yang, et al.
Academic Radiology|October 9, 2025
Image Quality Improvement and Artificial Intelligence Performance in Pulmonary Embolism Detection at Deep Learning Reconstruction-Based Ultra-low Radiation Dose CT Pulmonary AngiographyJinjuan Lu, Leilei Shen, Chun Zhou, et al.
European Radiology|May 24, 2025
Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trialLeilei Shen, Jinjuan Lu, Chun Zhou, et al.
Frontiers in Oncology|January 3, 2022
A Computed Tomography-Derived Radiomics Approach for Predicting Uncommon EGFR Mutation in Patients With NSCLCWufei Chen, Yanqing Hua, Dingbiao Mao, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Food Chemistry: X|January 7, 2026
Effects of single-frequency ultrasonic modification on starch structure and digestive properties: A comprehensive meta-analysis and acoustic simulationPing Shi, Siyu Liu, Jinjuan Lu, et al.
Frontiers in Oncology|May 3, 2021
Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by RadiomicsMingyu Tan, Weiling Ma, Yingli Sun, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Oncology|January 28, 2021
Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung AdenocarcinomaLin Qi, Ke Xue, Yongjun Cai, et al.
Respiratory Research|November 11, 2022
Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristicsJinjuan Lu, Haiyan Ge, Lin Qi, et al.
BMC Pulmonary Medicine|March 16, 2023
Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function populationYuling Yang, Haiyan Ge, Jinjuan Lu, et al.
Insights Into Imaging|October 2, 2024
Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based studyBin Chen, Pan Gao, Yuling Yang, et al.
Academic Radiology|October 9, 2025
Image Quality Improvement and Artificial Intelligence Performance in Pulmonary Embolism Detection at Deep Learning Reconstruction-Based Ultra-low Radiation Dose CT Pulmonary AngiographyJinjuan Lu, Leilei Shen, Chun Zhou, et al.
European Radiology|May 24, 2025
Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trialLeilei Shen, Jinjuan Lu, Chun Zhou, et al.
Frontiers in Oncology|January 3, 2022
A Computed Tomography-Derived Radiomics Approach for Predicting Uncommon EGFR Mutation in Patients With NSCLCWufei Chen, Yanqing Hua, Dingbiao Mao, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Food Chemistry: X|January 7, 2026
Effects of single-frequency ultrasonic modification on starch structure and digestive properties: A comprehensive meta-analysis and acoustic simulationPing Shi, Siyu Liu, Jinjuan Lu, et al.
Frontiers in Oncology|May 3, 2021
Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by RadiomicsMingyu Tan, Weiling Ma, Yingli Sun, et al.
Pageof 2