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Haomiao Qing

Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules
2021 · Jieke Liu, Hao Xu, et al. · Frontiers in Oncology · 30
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Chemotherapy-induced grey matter abnormalities in cancer survivors: a voxel-wise neuroimaging meta-analysis
2020 · Running Niu, Mingying Du, et al. · Brain Imaging and Behavior · 30
Development and validation of qualitative and quantitative models to predict invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules based on low-dose computed tomography during lung cancer screening
2022 · Jieke Liu, Xi Yang, et al. · Quantitative Imaging in Medicine and Surgery · 25
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Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging
2020 · Hong-Bing Luo, Ming-Ying Du, et al. · Academic Radiology · 24
Early Awake Prone and Lateral Position in Non-intubated Severe and Critical Patients with COVID-19 in Wuhan: A Respective Cohort Study
2020 · Wei Dong, Yiping Gong, et al. · medRxiv · 23
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An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung cancer screening
2023 · Yong Li, Jieke Liu, et al. · European Radiology · 19
Screening baseline characteristics of early lung cancer on low-dose computed tomography with computer-aided detection in a Chinese population
2019 · Yuanyuan Liu, Hongbin Luo, et al. · Cancer Epidemiology · 19
Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules
2022 · Changjiu He, Jieke Liu, et al. · Frontiers in Oncology · 16
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Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma
2023 · Yong Li, Jieke Liu, et al. · La radiologia medica · 14
Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening
2022 · Yong Li, Jieke Liu, et al. · British Journal of Radiology · 14
Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort
2024 · Jieke Liu, Xi Yang, et al. · Diagnostics · 12
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Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer
2021 · Hong-Bing Luo, Yuan-Yuan Liu, et al. · PLoS ONE · 10
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Early Postoperative Patient-Reported Outcomes of Sarcopenia Versus Nonsarcopenia in Patients Undergoing Video-Assisted Thoracoscopic Surgery for Lung Cancer
2024 · Jieke Liu, Dongyan Li, et al. · Annals of Surgical Oncology · 9
The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography
2023 · Jieke Liu, Chaolian Xie, et al. · Cancer Imaging · 9
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Predicting High-risk Lung Adenocarcinoma in Solid and Part-solid Nodules on Low-dose CT: A Multicenter Study
2024 · Jieke Liu, Yong Li, et al. · Academic Radiology · 7
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Ex-vivo biodistribution and micro-PET/CT imaging of 18F-FDG, 18F-FLT, 18F-FMISO, and 18F-AlF-NOTA-PRGD2 in a prostate tumor-bearing nude mouse model
2015 · Zhuzhong Cheng, Renbo Wei, et al. · Nuclear Medicine Communications · 7
Accuracy of Pulmonary Nodule Volumetry at Different Exposure Parameters in Low-Dose Computed Tomography: A Phantom Study
2019 · Jieke Liu, Haomiao Qing, et al. · Journal of Computer Assisted Tomography · 5
Ternary-Classification Habitat Model for Invasiveness and Grade of Lung Adenocarcinoma Presenting as a Subsolid Nodule on Low-Dose Chest CT: A Multicenter Study
2025 · Yong Li, Yu Long, et al. · American Journal of Roentgenology · 4
Merged image reconstruction for anomalous systemic arterial supply to a normal lung
2020 · Bin Hu, Yunping Lan, et al. · Journal of Medical Radiation Sciences · 4
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Attenuation- and Entropy-Based Habitat Imaging for High-Risk Features in Lung Adenocarcinoma Presenting as a Part-Solid Nodule on CT: A Multicenter Study
2026 · Yong Li, Xiaoyu Li, et al. · American Journal of Roentgenology · 3
Quantitative Measures of Pure Ground-Glass Nodules from an Artificial Intelligence Software for Predicting Invasiveness of Pulmonary Adenocarcinoma on Low-Dose CT: A Multicenter Study
2025 · Yu Long, Yong Li, et al. · Biomedicines · 3
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Neoadjuvant chemotherapy or chemoradiotherapy plus sintilimab versus neoadjuvant chemoradiotherapy for locally advanced oesophageal squamous cell carcinoma: a study protocol of a multicentre, randomised, controlled, phase III trial (SCIENCE study)
2025 · Wenwu He, Hansong Bai, et al. · BMJ Open · 3
A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics
2025 · Haojun Li, Shuoming Liang, et al. · BMC Cancer · 3
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Accuracy of Pulmonary Nodule Volumetry Using Noise-Optimized Virtual Monoenergetic Image and Nonlinear Blending Image Algorithms in Dual-Energy Computed Tomography: A Phantom Study
2020 · Changjiu He, Jieke Liu, et al. · Journal of Computer Assisted Tomography · 3
Predicting Visceral Pleural Invasion in Part-Solid and Solid Nodules Using CT Features: A Systematic Review, Meta-Analysis, and Independent Cohort Validation
2025 · Yu Long, Yong Li, et al. · Journal of Computer Assisted Tomography · 2
Works count: 41
Citation count: 308
H-index: 11
I10-index: 12
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