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Journal of Cancer|February 22, 2021
Machine learning classifiers for predicting 3-year progression-free survival and overall survival in patients with gliomas after surgeryBin Zhang, Jing Yan, Weiqi Chen, et al.Frontiers in Cardiovascular Medicine|July 29, 2021
Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine LearningQiuying Chen, Bin Zhang, Jue Yang, et al.Allergy and Asthma Proceedings|November 8, 2018
Extrinsic warming of low-osmolality iodinated contrast media to 37°C reduced the rate of allergic-like reactionBin Zhang, Jing Liu, Yuhao Dong, et al.Ebiomedicine|January 16, 2019
Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort studyLu Zhang, Di Dong, Hailin Li, et al.European Radiology|August 23, 2017
Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRIYuhao Dong, Qianjin Feng, Wei Yang, et al.Oncotarget|December 20, 2016
Immunotherapy for patients with advanced pancreatic carcinoma: a promising treatmentBin Zhang, Yuhao Dong, Jing Liu, et al.Eclinicalmedicine|February 8, 2021
Predicting hyperprogressive disease in patients with advanced hepatocellular carcinoma treated with anti-programmed cell death 1 therapyLu Zhang, Lingeng Wu, Qiuying Chen, et al.NPJ Precision Oncology|July 27, 2021
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patientsJing Yan, Bin Zhang, Shuaitong Zhang, et al.European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|May 10, 2026
Prediction of recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma based on CT radiomics model: A multicenter studyYubin Yao, Yan Zhao, Qiulang Yuan, et al.Insights Into Imaging|February 6, 2023
MRI texture-based machine learning models for the evaluation of renal function on different segmentations: a proof-of-concept studyXiaokai Mo, Wenbo Chen, Simin Chen, et al.Pageof 4