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Insights Into Imaging
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August 20, 2022
An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
Jingyu Zhong, Yangfan Hu, Guangcheng Zhang, et al.
European Radiology
|
April 2, 2022
Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram
Jingyu Zhong, Chengxiu Zhang, Yangfan Hu, et al.
BMC Medical Imaging
|
June 26, 2024
Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT
Jingyu Zhong, Lingyun Wang, Chao Yan, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 19, 2023
Robustness of Quantitative Diffusion Metrics from Four Models: A Prospective Study on the Influence of Scan-Rescans, Voxel Size, Coils, and Observers
Jingyu Zhong, Xianwei Liu, Yangfan Hu, et al.
Journal of Digital Imaging
|
April 18, 2023
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT
Jingyu Zhong, Hailin Shen, Yong Chen, et al.
Journal of Imaging Informatics in Medicine
|
June 25, 2025
Assessment of Robustness of MRI Radiomic Features in the Abdomen: Impact of Deep Learning Reconstruction and Accelerated Acquisition
Jingyu Zhong, Yue Xing, Yangfan Hu, et al.
European Radiology
|
March 28, 2023
Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers
Jingyu Zhong, Lingyun Wang, Hailin Shen, et al.
BMC Medical Research Methodology
|
December 13, 2023
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study
Jingyu Zhong, Yue Xing, Junjie Lu, et al.
Angewandte Chemie (International Ed. in English)
|
April 5, 2017
Gold Nanowire Chiral Ultrathin Films with Ultrastrong and Broadband Optical Activity
Jiawei Lv, Ke Hou, Defang Ding, et al.
Insights Into Imaging
|
October 9, 2024
Is there enough evidence supporting the clinical adoption of clear cell likelihood score (ccLS)? An updated systematic review and meta-analysis
Jingyu Zhong, Yangfan Hu, Yue Xing, et al.
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Search research articles
Search
Showing results (31-40 of 48) with videos related to
Sort By:
Page
of 5
Insights Into Imaging
|
August 20, 2022
An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
Jingyu Zhong, Yangfan Hu, Guangcheng Zhang, et al.
European Radiology
|
April 2, 2022
Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram
Jingyu Zhong, Chengxiu Zhang, Yangfan Hu, et al.
BMC Medical Imaging
|
June 26, 2024
Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT
Jingyu Zhong, Lingyun Wang, Chao Yan, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 19, 2023
Robustness of Quantitative Diffusion Metrics from Four Models: A Prospective Study on the Influence of Scan-Rescans, Voxel Size, Coils, and Observers
Jingyu Zhong, Xianwei Liu, Yangfan Hu, et al.
Journal of Digital Imaging
|
April 18, 2023
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT
Jingyu Zhong, Hailin Shen, Yong Chen, et al.
Journal of Imaging Informatics in Medicine
|
June 25, 2025
Assessment of Robustness of MRI Radiomic Features in the Abdomen: Impact of Deep Learning Reconstruction and Accelerated Acquisition
Jingyu Zhong, Yue Xing, Yangfan Hu, et al.
European Radiology
|
March 28, 2023
Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers
Jingyu Zhong, Lingyun Wang, Hailin Shen, et al.
BMC Medical Research Methodology
|
December 13, 2023
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study
Jingyu Zhong, Yue Xing, Junjie Lu, et al.
Angewandte Chemie (International Ed. in English)
|
April 5, 2017
Gold Nanowire Chiral Ultrathin Films with Ultrastrong and Broadband Optical Activity
Jiawei Lv, Ke Hou, Defang Ding, et al.
Insights Into Imaging
|
October 9, 2024
Is there enough evidence supporting the clinical adoption of clear cell likelihood score (ccLS)? An updated systematic review and meta-analysis
Jingyu Zhong, Yangfan Hu, Yue Xing, et al.
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of 5