Li, H., Chang, C., Zhou, B., Lan, Y., Zang, P., Chen, S., . . . Duan, Y. (2025). Radiomics machine learning based on asymmetrically prominent cortical and deep medullary veins combined with clinical features to predict prognosis in acute ischemic stroke. PeerJ, 13, e19469. https://doi.org/10.7717/peerj.19469
Chicago-referens (17:e uppl.)Li, Hongyi, Cancan Chang, Bo Zhou, Yu Lan, Peizhuo Zang, Shannan Chen, Shouliang Qi, Ronghui Ju, och 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." PeerJ 13 (2025): e19469. https://doi.org/10.7717/peerj.19469.
MLA-referens (9:e uppl.)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." PeerJ, vol. 13, 2025, p. e19469, https://doi.org/10.7717/peerj.19469.
