Pancancer outcome prediction via a unified weakly supervised deep learning model
Wei Yuan(Sichuan University), Jinxi Xiang(Stanford University), Shlomo A. Koyfman(Cleveland Clinic), Kailin Yang(University of Iowa), Anant Madabhushi(Emory University), Cristian Barrera(Emory University), Junhan Zhao(Harvard University), Yuanfeng Ji(Stanford University), Shuo Kang(Children's Hospital of Chongqing Medical University), Julie Wu(Palo Alto University), Germán Corredor(Emory University), Jing Zhang(Tencent (China)), Krunal Pandav(Emory University), Lukas Delasos(Cleveland Clinic), Xiangde Luo(Stanford University), Biyue Zhu(Children's Hospital of Chongqing Medical University), Sen Yang(Harvard University), Hongping Tang(Shenzhen Maternity and Child Healthcare Hospital), Prantesh Jain(Roswell Park Comprehensive Cancer Center), Xiyue Wang(Sichuan University), Kun‐Hsing Yu(Harvard University), Junzhou Huang(The University of Texas at Arlington), Xiaohan Xing(Stanford University), James P. Lewis(University Hospitals of Cleveland), Jiayu Zhang(Beijing University of Chinese Medicine), Yuchen Li(Stanford University), Xiao Han(Nanjing University), Yijiang Chen(Case Western Reserve University), Yufei Zhou(Emory University), Kangning Zhang(Stanford University), Ning Mao(Qingdao University), Theodoros N. Teknos(University Hospitals Seidman Cancer Center), Haiyan Zhang(First Affiliated Hospital of Henan University), Fang Wang(Chinese Academy of Agricultural Sciences), Nathan A. Pennell(Cleveland Clinic), Himanshu Maurya(Emory University)
Cited by 14
Related Papers
Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study
|The Lancet|2020|1.8k
Efficacy of Selpercatinib in <i>RET</i> Fusion–Positive Non–Small-Cell Lung Cancer
|New England Journal of Medicine|2020|835
Large-Scale Multi-View Spectral Clustering via Bipartite Graph
|Proceedings of the AAAI Conference on Artificial Intelligence|2015|577
NCCN Guidelines Insights: Management of Immunotherapy-Related Toxicities, Version 1.2020
|Journal of the National Comprehensive Cancer Network|2020|484