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Nature Communications
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May 15, 2026
Machine-learning guided engineering of Mo<sup>4+</sup> activated halide near-infrared phosphors for AI-augmented medical imaging
Tao Huang, Bingzhen Wang, Lina Yang, et al.
Food Research International (Ottawa, Ont.)
|
August 12, 2025
A multifunctional nanozyme hydrogel film with antibacterial and antioxidant activity for fruit packaging and freshness preservation
Zhenchun Li, Lina Yang, Bingzhen Wang, et al.
Medicine
|
February 13, 2026
An 18F-FDG PET/CT-based radiomics nomogram for predicting progression-free survival in nasopharyngeal carcinoma: A retrospective cohort study
Jianpeng Lin, Jinghua Liu, Yanli Liu, et al.
EJNMMI Research
|
February 13, 2023
Prognostic value of <sup>18</sup>F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
International Journal of Biological Macromolecules
|
December 30, 2023
Polyvinyl alcohol/chitosan based nanocomposite organohydrogel flexible wearable strain sensors for sports monitoring and underwater communication rescue
Zhenchun Li, Peng Liu, Shaowei Chen, et al.
Journal of Computer Assisted Tomography
|
March 4, 2024
Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer
Shuyan Li, Jiayi Xie, Jinghua Liu, et al.
BMC Medical Imaging
|
June 6, 2024
The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers
Xiaolei Zhang, M Iqbal Bin Saripan, Yanjun Wu, et al.
Journal of Imaging Informatics in Medicine
|
April 2, 2026
Residual Conditional Variational Autoencoder for Multi-Center PET/CT Radiomic Feature Harmonization with Integrated Modeling of Batch Effects and Clinical Covariates
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
Radiation Oncology (London, England)
|
August 13, 2025
A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
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Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Nature Communications
|
May 15, 2026
Machine-learning guided engineering of Mo<sup>4+</sup> activated halide near-infrared phosphors for AI-augmented medical imaging
Tao Huang, Bingzhen Wang, Lina Yang, et al.
Food Research International (Ottawa, Ont.)
|
August 12, 2025
A multifunctional nanozyme hydrogel film with antibacterial and antioxidant activity for fruit packaging and freshness preservation
Zhenchun Li, Lina Yang, Bingzhen Wang, et al.
Medicine
|
February 13, 2026
An 18F-FDG PET/CT-based radiomics nomogram for predicting progression-free survival in nasopharyngeal carcinoma: A retrospective cohort study
Jianpeng Lin, Jinghua Liu, Yanli Liu, et al.
EJNMMI Research
|
February 13, 2023
Prognostic value of <sup>18</sup>F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
International Journal of Biological Macromolecules
|
December 30, 2023
Polyvinyl alcohol/chitosan based nanocomposite organohydrogel flexible wearable strain sensors for sports monitoring and underwater communication rescue
Zhenchun Li, Peng Liu, Shaowei Chen, et al.
Journal of Computer Assisted Tomography
|
March 4, 2024
Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer
Shuyan Li, Jiayi Xie, Jinghua Liu, et al.
BMC Medical Imaging
|
June 6, 2024
The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers
Xiaolei Zhang, M Iqbal Bin Saripan, Yanjun Wu, et al.
Journal of Imaging Informatics in Medicine
|
April 2, 2026
Residual Conditional Variational Autoencoder for Multi-Center PET/CT Radiomic Feature Harmonization with Integrated Modeling of Batch Effects and Clinical Covariates
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
Radiation Oncology (London, England)
|
August 13, 2025
A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
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of 1