Weidao Chen

发表

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

Zhengnan Gao, Mengxian Zhang, Xinyu Li, 2022, Frontiers in Endocrinology.

Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging

F. Tang, J. Liu, Baiyun Liu, 2022, Frontiers in Immunology.

A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing.

Yanqiu Zhang, B. Zhu, Bing Zhang, 2021, Annals of palliative medicine.

Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation

Kai Xu, X. Qi, Jiangfen Wu, 2022, Journal of clinical medicine.

Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma

Fa-jin Lv, T. Luo, Le Diao, 2022, Frontiers in Oncology.

Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism

Jiangfen Wu, Baiyun Liu, Yiqing Shen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study

Dawei Wang, Chen Xia, Ruijiang Li, 2022, Insights into Imaging.

RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study

Chunhong Hu, Hongkun Yin, Zhisen Li, 2022, BMC Medical Imaging.

A deep-learning model for identifying fresh vertebral compression fractures on digital radiography

Jiangfen Wu, D. Guo, Kunhua Li, 2021, European Radiology.

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.

Bingbing Ni, J. Liu, Jiancheng Yang, 2022, IEEE transactions on neural networks and learning systems.

Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study.

Xiaojuan He, Jiangfen Wu, Chaoyang Zhou, 2023, European radiology.

MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis

Jiangfen Wu, Yiqing Shen, Weidao Chen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma

Ming Li, Wei Zhao, J. Liu, 2023, La radiologia medica.