Chaoli Zhang

Robust deep learning for incomplete MRI sequences in glioma grading and IDH mutation status prediction: a large-scale multicenter study

Fangrong Liang, Jing Yan, Shengsheng Lai, Chaoli Zhang et autres

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Low-carbon power generation from multiple fuels: Thermodynamic and economic analysis of power plants integrating CLC with supercritical CO2 cycle

Yu Liu, Chaoli Zhang, Qiang Hao, Chenxin Ban et autres

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Equipment health state assessment based on statistical feature evidential reasoning rule considering sensor perturbation

Chaoli Zhang, Zhijie Zhou

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Improving radiomics-based differentiation of supratentorial malignant brain tumors preoperatively with diffusion-weighted imaging: A three-class machine learning algorithm

Zeyu Ma, Chaoli Zhang, Yang Guo, Yinhua Li et autres

OBJECTIVES: To construct a three-class multiparametric radiomic model for classifying supratentorial brain tumors [high-grade glioma (HGG), brain metastases (BM), and primary lymphomas of the central nervous system (PCNSL)], and investigate whether diffusion-weighted imaging (DWI)-based radiomic features enhance diagnostic performance. METHODS: 364 subjects …

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Biological mechanisms underlying prognostic radiomic models based on dynamic susceptibility contrast perfusion-weighted imaging in gliomas

Jing Yan, Chaoli Zhang

Motivation: The biological mechanisms underlying DSC-PWI-based prognostic radiomic models remain poorly understood. Goal(s): To uncover the biological basis of prognostic radiomic models in glioma patients using paired DSC-PWI and RNA-seq data. Approach: A radiomic risk signature (RRS) for overall survival prediction was …

Radiomic profiling for IDH-mutant astrocytoma stratification with distinct biologic pathway activities

Chaoli Zhang, Jing Yan, Kaiyu Wang

Motivation: Recent studies highlight the challenge of interpreting radiomic phenotypes biologically. Goal(s): To develop a radiomic model for prognostic prediction in IDH-mutant astrocytoma patients and to elucidate the underlying biological mechanisms. Approach: We used preoperative MRI-derived radiomic features to create and validate …

Interpretable health assessment method with influence factor traceability

Chaoli Zhang, Zhijie Zhou, Jiayu Luo

The evidential reasoning method is a classical information fusion method, that can provide decision-makers with understandable and reliable equipment health state assessment results. However, the high-dimensional, correlation data collected in the equipment poses a challenge to the parameter setting and feature interpretability …

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Perturbation Analysis of Statistical Feature-based Evidence

Chaoli Zhang, Zhijie Zhou, Jiayu Luo

In complex equipment, the evidence reasoning method based on statistical feature extraction can realize health assessment under high dimensional correlation data. However, in the actual operation of the equipment, affected by environmental factors and operation modes, the monitoring data will be disturbed, …

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Adaptive Nonlinear Recursive Model Updating Method for Quality-Related Process Monitoring

Jiayu Luo, Xiangyu Kong, Chaoli Zhang

In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded equipment and parameter drift require nonlinear models to be updated regularly. If a model is not updated, it is …

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Statistical feature likelihood evidential reasoning rule for equipment health state assessment considering asynchronous unequal interval data

Chaoli Zhang, Zhijie Zhou, Jiayu Luo, Jie Wang

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Molecular mechanisms and therapeutic significance of Tryptophan Metabolism and signaling in cancer

Jing Yan, Di Chen, Zi Ye, Xuqiang Zhu et autres

Tryptophan (Trp) metabolism involves three primary pathways: the kynurenine (Kyn) pathway (KP), the 5-hydroxytryptamine (serotonin, 5-HT) pathway, and the indole pathway. Under normal physiological conditions, Trp metabolism plays crucial roles in regulating inflammation, immunity, and neuronal function. Key rate-limiting enzymes such as …

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Exergy and techno-economic evaluation of solar-driven coal gasification coupled CLHG cogeneration system

Jie Li, Lin Zhu, Yue Huang, Qiang Hao et autres

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