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Xinyang Han

Showing results (21-30 of 26) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|March 10, 2026
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image SegmentationJingguo Qu, Xinyang Han, Yao Pu, et al.
Cancers|April 13, 2023
Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation TherapyYanjing Dong, Jiang Zhang, Saikt Lam, et al.
Scientific Reports|June 17, 2022
Building reliable radiomic models using image perturbationXinzhi Teng, Jiang Zhang, Alex Zwanenburg, et al.
La Radiologia Medica|June 10, 2023
Explainable machine learning via intra-tumoral radiomics feature mapping for patient stratification in adjuvant chemotherapy for locoregionally advanced nasopharyngeal carcinomaXinzhi Teng, Jiang Zhang, Xinyang Han, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 13, 2023
Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) modelHaonan Xiao, Xinyang Han, Shaohua Zhi, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 23, 2023
Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patientsJiang Zhang, Sai-Kit Lam, Xinzhi Teng, et al.
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Showing results (21-30 of 26) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 26 results.
IEEE Transactions on Neural Networks and Learning Systems|March 10, 2026
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image SegmentationJingguo Qu, Xinyang Han, Yao Pu, et al.
Cancers|April 13, 2023
Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation TherapyYanjing Dong, Jiang Zhang, Saikt Lam, et al.
Scientific Reports|June 17, 2022
Building reliable radiomic models using image perturbationXinzhi Teng, Jiang Zhang, Alex Zwanenburg, et al.
La Radiologia Medica|June 10, 2023
Explainable machine learning via intra-tumoral radiomics feature mapping for patient stratification in adjuvant chemotherapy for locoregionally advanced nasopharyngeal carcinomaXinzhi Teng, Jiang Zhang, Xinyang Han, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 13, 2023
Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) modelHaonan Xiao, Xinyang Han, Shaohua Zhi, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 23, 2023
Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patientsJiang Zhang, Sai-Kit Lam, Xinzhi Teng, et al.
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