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Jiangdian Song

Showing results (1-10 of 45) with videos related to

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JAMA Network Open|October 12, 2021
An Opportunity to Reduce Disparities in Lung Cancer ScreeningJiangdian Song, H Henry Guo
Insights Into Imaging|October 30, 2021
Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curveLu Wang, Nan Xu, Jiangdian Song
Medical Physics|August 4, 2019
Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancerShu Li, Changwei Ding, Hao Zhang, et al.
European Journal of Radiology|April 26, 2020
A review of original articles published in the emerging field of radiomicsJiangdian Song, Yanjie Yin, Hairui Wang, et al.
Frontiers in Oncology|July 26, 2021
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography ImagesRunsheng Chang, Shouliang Qi, Yong Yue, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapyJiangdian Song, Di Dong, Yanqi Huang, et al.
Resuscitation|September 29, 2024
Suitability of GPT-4o as an evaluator of cardiopulmonary resuscitation skills examinationsLu Wang, Yuqiang Mao, Lin Wang, et al.
IEEE Transactions on Medical Imaging|September 4, 2015
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation ApproachJiangdian Song, Caiyun Yang, Li Fan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Prediction of malignant and benign of lung tumor using a quantitative radiomic methodJun Wang, Xia Liu, Di Dong, et al.
Journal of Imaging Informatics in Medicine|February 16, 2024
EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLCNan Xu, Jiajun Wang, Gang Dai, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
JAMA Network Open|October 12, 2021
An Opportunity to Reduce Disparities in Lung Cancer ScreeningJiangdian Song, H Henry Guo
Insights Into Imaging|October 30, 2021
Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curveLu Wang, Nan Xu, Jiangdian Song
Medical Physics|August 4, 2019
Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancerShu Li, Changwei Ding, Hao Zhang, et al.
European Journal of Radiology|April 26, 2020
A review of original articles published in the emerging field of radiomicsJiangdian Song, Yanjie Yin, Hairui Wang, et al.
Frontiers in Oncology|July 26, 2021
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography ImagesRunsheng Chang, Shouliang Qi, Yong Yue, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapyJiangdian Song, Di Dong, Yanqi Huang, et al.
Resuscitation|September 29, 2024
Suitability of GPT-4o as an evaluator of cardiopulmonary resuscitation skills examinationsLu Wang, Yuqiang Mao, Lin Wang, et al.
IEEE Transactions on Medical Imaging|September 4, 2015
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation ApproachJiangdian Song, Caiyun Yang, Li Fan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Prediction of malignant and benign of lung tumor using a quantitative radiomic methodJun Wang, Xia Liu, Di Dong, et al.
Journal of Imaging Informatics in Medicine|February 16, 2024
EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLCNan Xu, Jiajun Wang, Gang Dai, et al.
Pageof 5