A multidimensional deep ensemble learning model predicts pathological response and outcomes in esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy from pretreatment CT imaging: A multicenter study
Yunsong Liu(Chinese Academy of Medical Sciences & Peking Union Medical College), Zhouguang Hui(Chinese Academy of Medical Sciences & Peking Union Medical College), Fangdong Zhao(Tianjin Medical University Cancer Institute and Hospital), Yang Su(Wenzhou Medical University), Jianrui Ji(Chinese Academy of Medical Sciences & Peking Union Medical College), Wenyang Liu, Liyan Xue, Zeliang Ma(Mayo Clinic Health System), Xin Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Nan Bi(Chinese Academy of Medical Sciences & Peking Union Medical College), Jun Peng(Fudan University Shanghai Cancer Center), Ye Chen(Hebei Medical University), Yue Li(Emory University), Ye Feng(Icahn School of Medicine at Mount Sinai), Qifeng Wang, Wencheng Zhang(Chinese Academy of Medical Sciences & Peking Union Medical College), Wen Yu(Shanghai Chest Hospital), Jianjun Qin(Zhengzhou University), Meng Zhou(Guiyang Medical University), Yu Men(Chinese Academy of Medical Sciences & Peking Union Medical College), Kuo Men(Chinese Academy of Medical Sciences & Peking Union Medical College), Wanting Zhang(Peking University), Xinyun Song(Shanghai Chest Hospital)
Cited by 2
Related Papers
Efficacy, Safety, and Correlative Biomarkers of Toripalimab in Previously Treated Recurrent or Metastatic Nasopharyngeal Carcinoma: A Phase II Clinical Trial (POLARIS-02)
|Journal of Clinical Oncology|2021|350
Gut Microbiota Offers Universal Biomarkers across Ethnicity in Inflammatory Bowel Disease Diagnosis and Infliximab Response Prediction
|mSystems|2018|322
Gut microbiota dysbiosis promotes age-related atrial fibrillation by lipopolysaccharide and glucose-induced activation of NLRP3-inflammasome
|Cardiovascular Research|2021|270