Publications by authors named "Bing-Zhong Jing"

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Multimodal prognostic model for de novo metastatic nasopharyngeal carcinoma after first-line immunochemotherapy.
Zhi-Qiao Liu, Sheng-Bing Zang, Pu-Yun OuYang, Bing-Zhong Jing, Cheng-You Zheng, Yu-Jing Lin, Jing-Ping Yun

Radiother Oncol· September 2025

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MMRNet: Ensemble deep learning models for predicting mismatch repair deficiency in endometrial cancer from histopathological images.
Li-Li Liu, Bing-Zhong Jing, Xuan Liu, Rong-Gang Li, Zhao Wan

Cell Rep Med· May 2025

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Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging.
YuChen Zhang, YiShu Deng, QiHua Zou, BingZhong Jing, PeiQiang Cai

Cell Rep Med· May 2024

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A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma.
Ying-Ying Huang, Yi-Shu Deng, Yang Liu, Meng-Yun Qiang, Wen-Ze Qiu, Bing-Zhong Jing

iScience· December 2023

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Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
En-Hong Zhuo, Wei-Jing Zhang, Hao-Jiang Li, Guo-Yi Zhang, Bing-Zhong Jing

Eur Radiol· October 2019

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Correction to: Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
En-Hong Zhuo, Wei-Jing Zhang, Hao-Jiang Li, Guo-Yi Zhang, Bing-Zhong Jing

Eur Radiol· July 2019

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