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Jiangfen Wu

Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features
2018 · Ping Yin, Ning Mao, et al. · European Radiology · 133
Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic‐Based Model vs. PI‐RADS v2
2018 · Tong Chen, Mengjuan Li, et al. · Journal of Magnetic Resonance Imaging · 125
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A Triple‐Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2‐Weighted and Contrast‐Enhanced T1‐Weighted MRI
2018 · Ping Yin, Ning Mao, et al. · Journal of Magnetic Resonance Imaging · 90
Detection and staging of chronic obstructive pulmonary disease using a computed tomography–based weakly supervised deep learning approach
2022 · Jiaxing Sun, Ximing Liao, et al. · European Radiology · 81
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Comparison of intravoxel incoherent motion diffusion‐weighted MR imaging with dynamic contrast‐enhanced MRI for differentiating lung cancer from benign solitary pulmonary lesions
2015 · Mei Yuan, Yu‐Dong Zhang, et al. · Journal of Magnetic Resonance Imaging · 66
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Benign and malignant orbital lymphoproliferative disorders: Differentiating using multiparametric MRI at 3.0T
2016 · Xiao-Quan Xu, Hao Hu, et al. · Journal of Magnetic Resonance Imaging · 60
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A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
2021 · Weijuan Chen, Xi Liu, et al. · European Radiology · 59
Differentiation of focal organising pneumonia and peripheral adenocarcinoma in solid lung lesions using thin-section CT-based radiomics
2018 · T. Zhang, M. Yuan, et al. · Clinical Radiology · 49
Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography
2016 · Zhou Yu, Ling Tao, et al. · International Journal of Computer Assisted Radiology and Surgery · 48
Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study
2022 · Weidao Chen, Jiangfen Wu, et al. · Insights into Imaging · 47
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Tumor recurrence versus treatment effects in glioma: A comparative study of three dimensional pseudo-continuous arterial spin labeling and dynamic susceptibility contrast imaging
2017 · Qian Xu, Qi Liu, et al. · Medicine · 47
Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival
2017 · Mei Yuan, Yu-Dong Zhang, et al. · European Radiology · 47
Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation
2022 · Jiangfen Wu, Qian Xu, et al. · Journal of Clinical Medicine · 41
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Model‑based three‑dimensional texture analysis of contrast‑enhanced magnetic resonance imaging as a potential tool for preoperative prediction of microvascular invasion in hepatocellular carcinoma
2019 · Yong‑Jian Zhu, Bing Feng, et al. · Oncology Letters · 38
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Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study
2023 · Jiangfen Wu, Nijun Liu, et al. · BMC Medical Imaging · 36
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A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography
2021 · Xiaoguo Zhang, Dawei Wang, et al. · Scientific Reports · 34
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Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2‐Weighted Images and Contrast‐Enhanced T1‐Weighted Images
2020 · Yi Dai, Ping Yin, et al. · BioMed Research International · 34
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Resting state fMRI feature-based cerebral glioma grading by support vector machine
2014 · Jiangfen Wu, Zhiyu Qian, et al. · International Journal of Computer Assisted Radiology and Surgery · 32
Alterations of default mode functional connectivity in individuals with end-stage renal disease and mild cognitive impairment
2019 · Haitao Lu, Zhengzhang Gu, et al. · BMC Nephrology · 31
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Lung adenocarcinoma: Assessment of epidermal growth factor receptor mutation status based on extended models of diffusion-weighted image
2017 · Mei Yuan, Xue-Hui Pu, et al. · Journal of Magnetic Resonance Imaging · 30
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GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status
2022 · Wei Zhao, Weidao Chen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 28
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Deep learning–assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study
2023 · Yang Xu, Chaoyang Zhou, et al. · European Radiology · 27
Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms
2021 · Xiang Guo, Jiehuan Wang, et al. · European Radiology · 27
Texture analysis of diffusion weighted imaging for the evaluation of glioma heterogeneity based on different regions of interest
2018 · Shan Wang, Meng Meng, et al. · Oncology Letters · 27
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Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: Texture analysis of dynamic contrast‐enhanced MRI
2018 · Hai‐hua Zou, Jing Yu, et al. · Journal of Magnetic Resonance Imaging · 26
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Works count: 58
Citation count: 1,511
H-index: 25
I10-index: 37
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