Ren, H., Song, H., Wang, J., Xiong, H., Long, B., Gong, M., . . . Li, Y. (2023). A clinical–radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: A multicenter study. SpringerOpen.
Chicago Style (17th ed.) CitationRen, Huanhuan, et al. A Clinical–radiomics Model Based on Noncontrast Computed Tomography to Predict Hemorrhagic Transformation After Stroke by Machine Learning: A Multicenter Study. SpringerOpen, 2023.
MLA (9th ed.) CitationRen, Huanhuan, et al. A Clinical–radiomics Model Based on Noncontrast Computed Tomography to Predict Hemorrhagic Transformation After Stroke by Machine Learning: A Multicenter Study. SpringerOpen, 2023.
Warning: These citations may not always be 100% accurate.