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Yehang Chen

Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast‐enhanced‐MRI‐based radiomics
2019 · Zhuangsheng Liu, Bao Feng, et al. · Journal of Magnetic Resonance Imaging · 101
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas
2020 · Bao Feng, XiangMeng Chen, et al. · European Radiology · 82
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule
2020 · Bao Feng, Xiangmeng Chen, et al. · European Journal of Radiology · 82
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence
2024 · Bao Feng, Jiangfeng Shi, et al. · Nature Communications · 75
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A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules
2020 · Xiangmeng Chen, Bao Feng, et al. · Cancer Imaging · 61
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General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysis
2025 · Senliang Lu, Yehang Chen, et al. · Nature Communications · 41
A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric Lymphoma
2022 · Bao Feng, Liebin Huang, et al. · Frontiers in Oncology · 34
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Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategies
2023 · Tao Zhou, Jian Guan, et al. · European Radiology · 27
A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography
2020 · Xiangmeng Chen, Bao Feng, et al. · Oncology Reports · 22
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Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer
2024 · Qionglian Kuang, Bao Feng, et al. · Cancer Imaging · 19
Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes
2023 · Xiangmeng Chen, Bao Feng, et al. · European Radiology · 16
Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical Resection
2021 · Liebin Huang, Bao Feng, et al. · Frontiers in Oncology · 16
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MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer
2020 · Zhuangsheng Liu, Xiaoping Li, et al. · European Radiology · 16
Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer
2021 · Peijun Li, Bao Feng, et al. · Acta Radiologica · 13
Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference
2020 · Shaorong Zhang, Xiangmeng Chen, et al. · BioMedical Engineering OnLine · 12
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A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma
2021 · Xiangmeng Chen, Bao Feng, et al. · European Journal of Radiology · 11
Active contour model of breast cancer DCE‐MRI segmentation with an extreme learning machine and a fuzzy C‐means cluster
2022 · Bao Feng, Haoyang Zhou, et al. · IET Image Processing · 10
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A Heterogeneity Radiomic Nomogram for Preoperative Differentiation of Primary Gastric Lymphoma From Borrmann Type IV Gastric Cancer
2020 · Bao Feng, Liebin Huang, et al. · Journal of Computer Assisted Tomography · 10
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning
2023 · Bao Feng, Xiangmeng Chen, et al. · Cancers · 9
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Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics
2022 · Bao Feng, Zhuangsheng Liu, et al. · Frontiers in Oncology · 9
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Whole-Lesion Computed Tomography–Based Entropy Parameters for the Differentiation of Minimally Invasive and Invasive Adenocarcinomas Appearing as Pulmonary Subsolid Nodules
2019 · Xiangmeng Chen, Bao Feng, et al. · Journal of Computer Assisted Tomography · 9
Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics model
2025 · Yuan Chen, Xiaohong Ruan, et al. · Abdominal Radiology · 7
Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM
2025 · Jing He, Zijun Huang, et al. · Frontiers in Human Neuroscience · 5
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients
2025 · Jin Feng, YunDe Li, et al. · Frontiers in Human Neuroscience · 4
Preoperative identification of deep myometrial invasion in endometrial cancer: a multicenter MRI study with a vision foundation model-enhanced multimodal deep learning framework
2026 · Peijun Li, Ximiao Wang, et al. · European Journal of Obstetrics & Gynecology and Reproductive Biology · 3
Works count: 38
Citation count: 704
H-index: 13
I10-index: 18
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