Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study
Rui Wen(Shenyang Ninth People's Hospital), Miaoran Wang(Shenyang Medical College), Haoyue Zhu(Pennsylvania State University), Ying Xiao(Economic Research Institute), Xiaoqing Liu(Kaiser Permanente), Yu Wang(Shenyang Ninth People's Hospital), Qian He(Academy of Medical Sciences), Hong Zhe(Shenyang Medical College), Wei Bian(Shenyang Medical College), Yangdi Shi(Shenyang Ninth People's Hospital)
Cited by 13
Related Papers
IMRT commissioning: Multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119
|Medical Physics|2009|1k
Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology
|International Journal of Radiation Oncology*Biology*Physics|2020|314
American Association of Physicists in Medicine Task Group 263: Standardizing Nomenclatures in Radiation Oncology
|International Journal of Radiation Oncology*Biology*Physics|2017|201
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
|Pattern Recognition|2020|188
Effect of Probiotics on Glucose and Lipid Metabolism in Type 2 Diabetes Mellitus: A Meta-Analysis of 12 Randomized Controlled Trials
|Medical Science Monitor|2017|173