APA (7th ed.) Citation

Li, H., Chang, C., Zhou, B., Lan, Y., Zang, P., Chen, S., . . . Duan, Y. Radiomics machine learning based on asymmetrically prominent cortical and deep medullary veins combined with clinical features to predict prognosis in acute ischemic stroke: A retrospective study. PeerJ Inc.

Chicago Style (17th ed.) Citation

Li, Hongyi, Cancan Chang, Bo Zhou, Yu Lan, Peizhuo Zang, Shannan Chen, Shouliang Qi, Ronghui Ju, and Yang Duan. Radiomics Machine Learning Based on Asymmetrically Prominent Cortical and Deep Medullary Veins Combined with Clinical Features to Predict Prognosis in Acute Ischemic Stroke: A Retrospective Study. PeerJ Inc.

MLA (9th ed.) Citation

Li, Hongyi, et al. Radiomics Machine Learning Based on Asymmetrically Prominent Cortical and Deep Medullary Veins Combined with Clinical Features to Predict Prognosis in Acute Ischemic Stroke: A Retrospective Study. PeerJ Inc.