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International Journal of Radiation Oncology, Biology, Physics|November 14, 2021
Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural NetworkWen Li, Haonan Xiao, Tian Li, et al.
Frontiers in Oncology|May 19, 2023
Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancerJerry C F Ching, Saikit Lam, Cody C H Lam, et al.
Military Medical Research|May 15, 2023
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modelingYuan-Peng Zhang, Xin-Yun Zhang, Yu-Ting Cheng, et al.
Frontiers in Oncology|October 31, 2022
Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinomaXinzhi Teng, Jiang Zhang, Zongrui Ma, et al.
International Journal of Radiation Oncology, Biology, Physics|July 4, 2024
Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor DelineationWen Li, Dan Zhao, Guangping Zeng, et al.
Cancers|January 8, 2023
Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma PatientsJiang Zhang, Xinzhi Teng, Saikit Lam, et al.
International Journal of Radiation Oncology, Biology, Physics|July 2, 2026
Privacy-Preserving Virtual Contrast-enhanced MRI for Nasopharyngeal Carcinoma: A Multi-center StudyWen Li, Zhen Li, Yiming Shi, et al.
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