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Xingjian Sun

Showing results (11-20 of 14) with videos related to

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Digital Health|January 9, 2026
A feasibility study on predicting disease progression in high-grade gliomas using magnetic resonance imaging habitat radiomics based on response assessment in neuro-oncology (RANO) criteriaYuchen Zhu, Gefei Jiang, Xingjian Sun, et al.
Science Progress|May 8, 2025
Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinomaLei Qiu, Yinjiao Fei, Yuchen Zhu, et al.
Annals of Clinical and Translational Neurology|January 5, 2026
Development of a Prediction Model for Progression Risk in High-Grade Gliomas Based on Habitat Radiomics and PathomicsYuchen Zhu, Yuxi Gong, Weilin Xu, et al.
Frontiers in Neurology|August 27, 2025
Deep learning and pathomics analyses predict prognosis of high-grade gliomasYuchen Zhu, Yuxi Gong, Weilin Xu, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Digital Health|January 9, 2026
A feasibility study on predicting disease progression in high-grade gliomas using magnetic resonance imaging habitat radiomics based on response assessment in neuro-oncology (RANO) criteriaYuchen Zhu, Gefei Jiang, Xingjian Sun, et al.
Science Progress|May 8, 2025
Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinomaLei Qiu, Yinjiao Fei, Yuchen Zhu, et al.
Annals of Clinical and Translational Neurology|January 5, 2026
Development of a Prediction Model for Progression Risk in High-Grade Gliomas Based on Habitat Radiomics and PathomicsYuchen Zhu, Yuxi Gong, Weilin Xu, et al.
Frontiers in Neurology|August 27, 2025
Deep learning and pathomics analyses predict prognosis of high-grade gliomasYuchen Zhu, Yuxi Gong, Weilin Xu, et al.
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