Publications by authors named "Pengxin Yu"

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Improvement of machine learning models for predicting high-grade subtypes of lung adenocarcinoma based on delta radiomics: A multicenter cohort study.
Feiyang Zhong, Ting Li, Wenping Li, Lijun Wu, Pengju Zhang, Pengxin Yu, Yuan Fang

Eur J Radiol Open· December 2025

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Sequential hydrothermal liquefaction of lignocellulose-rich livestock manure: A new perspective on enhancing the production and quality of low-phenolic biocrude.
Siyuan Long, Pengxin Yu, Jianrong Huang, Conghao Ku, Xinge Miao

Bioresour Technol· August 2025

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Cryptochrome 1 promotes photomorphogenesis in Arabidopsis by displacing substrates from the COP1 ubiquitin ligase.
Laura Trimborn, Franziska Kuttig, Jathish Ponnu, Pengxin Yu, Kris R Korsching

Plant J· March 2025

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Feedrate Fluctuation Minimization for NURBS Tool Path Interpolation Based on Arc Length Compensation and Iteration.
Xing Liu, Pengxin Yu, Haiduo Chen, Bihui Peng, Zhao Wang

Micromachines (Basel)· March 2025

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Spatial resolution enhancement using deep learning improves chest disease diagnosis based on thick slice CT.
Pengxin Yu, Haoyue Zhang, Dawei Wang, Rongguo Zhang, Mei Deng, Haoyu Yang

NPJ Digit Med· November 2024

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Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N Felder, Ruiqi Yu, Yun Gu, Pingyu Wang, Pengxin Yu, Boyu Zhang, Hongyu Yuan, Qing Lyu, Abdul Qayyum

Med Image Anal· October 2024

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Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Evi M C Huijben, Maarten L Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Juhyung Ha, Pengxin Yu, Yubo Fan

Med Image Anal· October 2024

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Deep learning-based platform performs high detection sensitivity of intracranial aneurysms in 3D brain TOF-MRA: An external clinical validation study.
Yuanyuan Li, Huiling Zhang, Yun Sun, Qianrui Fan, Long Wang, Pengxin Yu

Int J Med Inform· August 2024

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Assessment of lung deformation in patients with idiopathic pulmonary fibrosis with elastic registration technique on pulmonary three-dimensional ultrashort echo time MRI.
Xiaoyan Yang, Pengxin Yu, Haishuang Sun, Mei Deng, Anqi Liu

Insights Imaging· January 2024

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Multi-site, Multi-domain Airway Tree Modeling.
Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Pengxin Yu, Boyu Zhang, Abdul Qayyum, Yufei Zhu, Jiayuan Sun, Yun Gu

Med Image Anal· December 2023

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Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis.
Xiaoyan Yang, Pengxin Yu, Wenqing Xu, Haishuang Sun, Jianghui Duan, Yueyin Han

J Thorac Imaging· November 2023

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Development and validation of a lung graph-based machine learning model to predict acute pulmonary thromboembolism on chest noncontrast computed tomography.
Mei Deng, Anqi Liu, Han Kang, Linfeng Xi, Pengxin Yu, Haoyu Yang

Quant Imaging Med Surg· October 2023

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Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study.
Qingtao Meng, Pengxin Yu, Siyuan Yin, Xiaofeng Li, Yitong Chang, Yu Wang, Qingyue Zhang

Quant Imaging Med Surg· October 2023

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Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.
Rong Liu, Junlin Yang, Hongkun Yin, Qian Wu, Pengxin Yu

J Appl Clin Med Phys· July 2023

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Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.
Xiaoxu Yang, Pengxin Yu, Haoyue Zhang, Rongguo Zhang, Yuehong Liu, Haoyuan Li, Yu Wu

Stroke· May 2023

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Multi-channel deep learning model-based myocardial spatial-temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH.
Kaiyue Diao, Hong-Qing Liang, Hong-Kun Yin, Ming-Jing Yuan, Min Gu, Peng-Xin Yu, Jiayu Sun

Insights Imaging· April 2023

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Characteristics of Diaphragmatic and Chest Wall Motion in People with Normal Pulmonary Function: A Study with Free-Breathing Dynamic MRI.
Xiaoyan Yang, Haishuang Sun, Mei Deng, Yicong Chen, Chen Li, Pengxin Yu

J Clin Med· December 2022

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MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients.
Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang

Annu Int Conf IEEE Eng Med Biol Soc· July 2022

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Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
Xiaoyan Yang, Min Liu, Yanhong Ren, Huang Chen, Pengxin Yu

Eur Radiol· April 2022

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A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study.
Dan Liu, Weihan Zhang, Fubi Hu, Pengxin Yu, Xiao Zhang

Front Oncol· December 2021

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Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks.
Yijie Fang, Wei Li, Xiaojun Chen, Keming Chen, Han Kang, Pengxin Yu

Eur Radiol· April 2021

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Deep Convolutional Neural Network Based on Computed Tomography Images for the Preoperative Diagnosis of Occult Peritoneal Metastasis in Advanced Gastric Cancer.
Zixing Huang, Dan Liu, Xinzu Chen, Du He, Pengxin Yu, Baiyun Liu

Front Oncol· November 2020

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Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.
Minghuan Wang, Chen Xia, Lu Huang, Shabei Xu, Chuan Qin, Pengxin Yu, Xiangyu Chen

Lancet Digit Health· October 2020

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[Prediction of Pathological Subtypes of Lung Adenocarcinoma with Pure Ground Glass Nodules by Deep Learning Model].
Xue-Min Tao, Rui Fang, Chong-Chong Wu, Chi Zhang, Rong-Guo Zhang, Peng-Xin Yu

Zhongguo Yi Xue Ke Xue Yuan Xue Bao· August 2020

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Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach.
Lu Huang, Rui Han, Tao Ai, Pengxin Yu, Han Kang

Radiol Cardiothorac Imaging· April 2020

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