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Shaofeng Duan

Observed names: Duan Shaofeng, S F Duan, S. Duan, S.-F. Duan, Shao-Feng Duan, Shao-feng Duan, ShaoFeng Duan
Observed institutions: Qingdao University, Shanghai Medical College of Fudan University, Bengbu Medical College, Xuzhou Medical College, Shanghai Jiao Tong University, Fudan University, Wenzhou Medical University, XinHua Hospital, Linyi People's Hospital, Affiliated Hospital of Xuzhou Medical College, Zhongshan Hospital, United Imaging Healthcare (China), Dow Chemical (China), First Affiliated Hospital of Bengbu Medical College, Siemens Healthcare (United States), Siemens Healthineers (Germany), Huashan Hospital, Shanghai Superconductor Technology Co., Ltd. (China)
ORCID: 0000-0001-9413-7574
Observed ORCID: 0000-0001-9413-7574
OpenAlex ID: A5041655588
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
2020 · Yingli Sun, Cheng Li, et al. · European Radiology · 141
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Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer
2022 · Qiaoling Chen, JingJing Shao, et al. · European Radiology · 99
MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer
2018 · Huanhuan Liu, Caiyuan Zhang, et al. · European Radiology · 97
CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis
2020 · Shang Wan, Mingqi Li, et al. · Academic Radiology · 84
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Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas
2019 · Hexiang Wang, Haisong Chen, et al. · Journal of Magnetic Resonance Imaging · 82
A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma
2021 · Cheng Chang, Xiaoyan Sun, et al. · Frontiers in Oncology · 76
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Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study
2020 · Hexiang Wang, Jian Zhang, et al. · Journal of Magnetic Resonance Imaging · 73
Radiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI
2020 · Mengjuan Li, Tong Chen, et al. · Quantitative Imaging in Medicine and Surgery · 71
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A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma
2021 · Cheng Chang, Shihong Zhou, et al. · European Radiology · 65
Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features
2020 · Zongqiong Sun, Shudong Hu, et al. · Journal of X-Ray Science and Technology · 64
Radiomics Nomogram of Contrast-Enhanced Spectral Mammography for Prediction of Axillary Lymph Node Metastasis in Breast Cancer: A Multicenter Study
2019 · Ning Mao, Ping Yin, et al. · European Radiology · 60
Association of Lipoprotein (a) With Coronary-Computed Tomography Angiography–Assessed High-Risk Coronary Disease Attributes and Cardiovascular Outcomes
2022 · Neng Dai, Zhangwei Chen, et al. · Circulation Cardiovascular Imaging · 59
Radiomics nomogram for differentiating between benign and malignant soft‐tissue masses of the extremities
2019 · Hexiang Wang, Pei Nie, et al. · Journal of Magnetic Resonance Imaging · 57
Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance
2019 · Chuan-gen Guo, Shuai Ren, et al. · Cancer Management and Research · 57
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Attention‐based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE‐MRI
2022 · Jing Gao, Xin Zhong, et al. · Journal of Magnetic Resonance Imaging · 55
Diagnostic Value of Angiography-Derived IMR for Coronary Microcirculation and Its Prognostic Implication After PCI
2021 · Neng Dai, Wenliang Che, et al. · Frontiers in Cardiovascular Medicine · 54
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CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS
2021 · Huanhuan Liu, Hua Ren, et al. · Journal of Translational Medicine · 54
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Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma
2020 · Shuai Ren, Rui Zhao, et al. · Abdominal Radiology · 54
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study
2022 · Guangjie Yang, Pei Nie, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 53
Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images
2019 · Shuai Ren, Jingjing Zhang, et al. · Frontiers in Oncology · 52
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Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer
2020 · Tiantian Bian, Zengjie Wu, et al. · British Journal of Radiology · 50
Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer
2020 · Meijie Liu, Ning Mao, et al. · Cancer Imaging · 49
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Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification
2020 · Haoting Wu, Chenqing Wu, et al. · European Radiology · 48
Machine Learning–Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma
2020 · Jiliang Ren, Meng Qi, et al. · American Journal of Roentgenology · 48
Differentiating Benign from Malignant Renal Tumors Using T2 ‐ and Diffusion‐Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists
2021 · Qing Xu, QingQiang Zhu, et al. · Journal of Magnetic Resonance Imaging · 47
Works count: 164
Citation count: 3,653
H-index: 36
I10-index: 105
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