Publications by authors named "Ruize Yu"

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End-to-end deep learning for the diagnosis of pelvic and sacral tumors using non-enhanced MRI: a multi-center study.
Ping Yin, Ke Liu, Runrong Chen, Yang Liu, Lin Lu, Tianyu Zhang, Ruize Yu

NPJ Precis Oncol· August 2025

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Radiomics and deep learning methods for predicting the growth of subsolid nodules based on CT images.
Jie Chen, Wanying Yan, Yiqiu Shi, Xinyu Pan, Ruize Yu, Xinyue Zhang

Medicine (Baltimore)· August 2025

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Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods.
Meilin Li, Xingyu Hou, Wanying Yan, Dawei Wang, Ruize Yu

J Imaging Inform Med· June 2025

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Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.
Ping Yin, Weidao Chen, Qianrui Fan, Ruize Yu, Xia Liu

Cancer Imaging· March 2025

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Epithelial stem cells from human small bronchi offer a potential for therapy of idiopathic pulmonary fibrosis.
Zeyu Liu, Qi Zheng, Zhoubin Li, Moli Huang, Cheng Zhong, Ruize Yu, Jingyuan Zhang, Yue Hong

EBioMedicine· February 2025

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HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage.
Zhiming Zhou, Weidao Chen, Ruize Yu, Yuanyuan Chen, Xuejiao Li, Yu Zhou

Eur J Radiol· July 2024

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Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study.
Yuting Li, Ruize Yu, Huan Chang, Wanying Yan, Dawei Wang

J Imaging Inform Med· June 2024

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A machine learning approach to predicting vascular calcification risk of type 2 diabetes: A retrospective study.
Xue Liang, Xinyu Li, Guosheng Li, Bing Wang, Yudan Liu, Ruize Yu

Clin Cardiol· April 2024

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A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.
Ye Li, Xinna Lv, Cancan Chen, Ruize Yu, Bing Wang

Eur Radiol Exp· January 2024

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A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients.
Xiaoshuang Ru, Shilong Zhao, Weidao Chen, Jiangfen Wu, Ruize Yu

Biomed Eng Online· December 2023

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Improving the malignancy prediction of breast cancer based on the integration of radiomics features from dual-view mammography and clinical parameters.
Chenyi Zhou, Hui Xie, Fanglian Zhu, Wanying Yan, Ruize Yu

Clin Exp Med· October 2023

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Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment.
Limin Zhang, Jing Wu, Ruize Yu, Ruoyu Xu, Jiawen Yang

Eur J Radiol· August 2023

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Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma.
Ji-Wen Huo, Tian-You Luo, Le Diao, Fa-Jin Lv, Wei-Dao Chen, Rui-Ze Yu

Front Oncol· August 2022

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Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging.
Chuxin Huang, Weidao Chen, Baiyun Liu, Ruize Yu, Xiqian Chen

Front Immunol· July 2022

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