Runsheng Chang
Shenyang, China
Last Updated: 09/26/2026
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Found 9 publications
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: May 30, 2023
Multi-site, Multi-domain Airway Tree Modeling.
Journal: Medical image analysis
Published: March 27, 2023
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images.
Journal: Artificial intelligence in medicine
Published: January 08, 2023
Deep radiomic model based on the sphere-shell partition for predicting treatment response to chemotherapy in lung cancer.
Journal: Translational oncology
Published: November 27, 2022
Using CT radiomic features based on machine learning models to subtype adrenal adenoma.
Journal: BMC cancer
Published: July 29, 2022
Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images.
Journal: Scientific reports
Published: May 29, 2022
Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?
Journal: Frontiers in oncology
Published: April 08, 2022
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images.
Journal: Frontiers in oncology
Published: December 25, 2020
A cohort study on risk factors of lung cancer in Yunnan tin miners
Journal: Zhongguo fei ai za zhi = Chinese journal of lung cancer
Published: April 23, 2013
Showing 1-9 of 9
Last Updated: 09/26/2026