Jinjuan Lu

No. 221 West Yanan Road
Shanghai, 200040, China

Last Updated: 09/26/2026

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Found 12 publications

Image Quality Improvement and Artificial Intelligence Performance in Pulmonary Embolism Detection at Deep Learning Reconstruction-Based Ultra-low Radiation Dose CT Pulmonary Angiography.

Image Quality Improvement and Artificial Intelligence Performance in Pulmonary Embolism Detection at Deep Learning Reconstruction-Based Ultra-low Radiation Dose CT Pulmonary Angiography.

Journal: Academic radiology

Published: May 07, 2025

Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trial.

Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trial.

Journal: European radiology

Published: October 10, 2024

Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study.

Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study.

Journal: Insights into imaging

Published: June 20, 2024

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

Journal: Respiratory research

Published: September 01, 2023

Correction: Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics.

Correction: Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics.

Journal: Respiratory research

Published: January 25, 2023

Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population.

Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population.

Journal: BMC pulmonary medicine

Published: September 14, 2022

Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics.

Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics.

Journal: Respiratory research

Published: October 19, 2021

Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer.

Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer.

Journal: Frontiers in oncology

Published: September 08, 2021

A Computed Tomography-Derived Radiomics Approach for Predicting Uncommon EGFR Mutation in Patients With NSCLC.

A Computed Tomography-Derived Radiomics Approach for Predicting Uncommon EGFR Mutation in Patients With NSCLC.

Journal: Frontiers in oncology

Published: June 08, 2021

Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics.

Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics.

Journal: Frontiers in oncology

Published: January 25, 2021

Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung Adenocarcinoma.

Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung Adenocarcinoma.

Journal: Frontiers in oncology

Published: August 20, 2020

Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules.

Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules.

Journal: Scientific reports

Published: April 24, 2020

Showing 1-12 of 12

Last Updated: 09/26/2026