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Author

Weidao Chen

Observed name: Chen, Weidao
Institution: InferVision (China)
ORCID: 0000-0001-7730-916X
Observed ORCID: 0000-0001-7730-916X
OpenAlex ID: A5005606057
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
2021 · Weijuan Chen, Xi Liu, et al. · European Radiology · 57
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
2023 · Youlan Shang, Weidao Chen, et al. · La radiologia medica · 55
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Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities
2024 · Dongsong Zhang, Changjian Wang, et al. · Artificial Intelligence in Medicine · 54
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Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort Study
2022 · Yuedong Zhao, Xinyu Li, et al. · Frontiers in Endocrinology · 53
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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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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 · 39
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Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging
2022 · Chuxin Huang, Weidao Chen, et al. · Frontiers in Immunology · 29
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
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 · 26
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A Multimodal Multipath Artificial Intelligence System for Diagnosing Gastric Protruded Lesions on Endoscopy and Endoscopic Ultrasonography Images
2022 · Chang Zhu, Yifei Hua, et al. · Clinical and Translational Gastroenterology · 23
A deep learning algorithm to identify carotid plaques and assess their stability
2024 · Lan He, Zekun Yang, et al. · Frontiers in Artificial Intelligence · 18
Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model
2024 · Xiaojuan He, Yang Xu, et al. · European Journal of Radiology · 18
RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study
2022 · Weiliang Qian, Zhisen Li, et al. · BMC Medical Imaging · 16
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Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism
2022 · Yiqing Shen, Baiyun Liu, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 14
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Investigating the Influence of Spatial Constraints on Ultimate Receive Coil Performance for Monkey Brain MRI at 7 T
2018 · Yang Gao, Weidao Chen, et al. · IEEE Transactions on Medical Imaging · 12
HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage
2024 · Zhiming Zhou, Weidao Chen, et al. · European Journal of Radiology · 11
A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients
2023 · Xiaoshuang Ru, Shilong Zhao, et al. · BioMedical Engineering OnLine · 11
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An MRI ‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study
2023 · Zhonghong Xin, Wanying Yan, et al. · Cancer Medicine · 6
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Automatic macaque brain segmentation based on 7T MRI
2022 · Jie Zhao, Weidao Chen, et al. · Magnetic Resonance Imaging · 6
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Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study
2025 · Ping Yin, Weidao Chen, et al. · Cancer Imaging · 5
Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinoma
2024 · Li Liu, Wenfei Zhang, et al. · Abdominal Radiology · 3
A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing
2021 · Xiaoyan Xin, Ran Mo, et al. · Annals of Palliative Medicine · 3
End-to-end deep learning for the diagnosis of pelvic and sacral tumors using non-enhanced MRI: a multi-center study
2025 · Ping Yin, Ke Liu, et al. · npj Precision Oncology · 2
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End-to-End Deep Learning Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Patients Using Routine MRI
2025 · Ping Yin, Xinyu Zhang, et al. · Journal of Imaging Informatics in Medicine · 2
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MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis
2022 · Yibo Feng, Yudong Wang, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 1
Works count: 31
Citation count: 536
H-index: 14
I10-index: 17
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