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Journal for Immunotherapy of Cancer|July 9, 2020
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarkerBingxi He, Di Dong, Yunlang She, et al.
European Journal of Radiology|May 15, 2020
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre studyXiangjun Wu, Hui Hui, Meng Niu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 14, 2023
A multi-view co-training network for semi-supervised medical image-based prognostic predictionHailin Li, Siwen Wang, Bo Liu, et al.
Theranostics|January 27, 2021
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography imagesPanwen Tian, Bingxi He, Wei Mu, et al.
Health Data Science|March 15, 2024
The Applications of Artificial Intelligence in Digestive System Neoplasms: A ReviewShuaitong Zhang, Wei Mu, Di Dong, et al.
Advanced Materials (Deerfield Beach, Fla.)|April 18, 2026
Design of Intrinsic Polyimides via a Restricted Dihedral-Rotation Structural Strategy for Superior High-Temperature Capacitive ApplicationsBingyu Zou, Shuo Zhao, Yang Zhao, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 27, 2020
Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI RadiomicsLixin Gong, Min Xu, Mengjie Fang, et al.
The British Journal of Radiology|January 21, 2020
Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinomaJiaming Chen, Bingxi He, Di Dong, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|June 8, 2025
Bi-regional and bi-phasic automated machine learning radiomics for defining metastasis to lesser curvature lymph node stations in gastric cancerHuilin Huang, Siwen Wang, Jingyu Deng, et al.
Translational Lung Cancer Research|March 15, 2021
A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomicsBingxi He, Yongxiang Song, Lili Wang, et al.
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