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Dongyang Du

Showing results (11-20 of 15) with videos related to

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Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 23, 2020
Evaluation of the diagnostic value of joint PET myocardial perfusion and metabolic imaging for vascular stenosis in patients with obstructive coronary artery diseaseFanghu Wang, Weiping Xu, Wenbing Lv, et al.
EJNMMI Physics|April 7, 2025
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypesDongyang Du, Isaac Shiri, Fereshteh Yousefirizi, et al.
Molecular Imaging and Biology|July 25, 2019
Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT ImagesDongyang Du, Hui Feng, Wenbing Lv, et al.
Molecular Imaging and Biology|October 30, 2019
Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal CarcinomaHui Xu, Wenbing Lv, Hui Feng, et al.
Thoracic Cancer|May 15, 2023
Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancerXiaolei Zhang, Xianling Dong, M Iqbal Bin Saripan, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 23, 2020
Evaluation of the diagnostic value of joint PET myocardial perfusion and metabolic imaging for vascular stenosis in patients with obstructive coronary artery diseaseFanghu Wang, Weiping Xu, Wenbing Lv, et al.
EJNMMI Physics|April 7, 2025
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypesDongyang Du, Isaac Shiri, Fereshteh Yousefirizi, et al.
Molecular Imaging and Biology|July 25, 2019
Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT ImagesDongyang Du, Hui Feng, Wenbing Lv, et al.
Molecular Imaging and Biology|October 30, 2019
Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal CarcinomaHui Xu, Wenbing Lv, Hui Feng, et al.
Thoracic Cancer|May 15, 2023
Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancerXiaolei Zhang, Xianling Dong, M Iqbal Bin Saripan, et al.
Pageof 2