Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach.

MLA

Yuan, Jialin, et al. “Structural- and DTI- MRI Enable Automated Prediction of IDH Mutation Status in CNS WHO Grade 2–4 Glioma Patients: A Deep Radiomics Approach.” BMC Medical Imaging, vol. 24, no. 1, May 2024, pp. 1–15. EBSCOhost, https://doi.org/10.1186/s12880-024-01274-9.

APA

Yuan, J., Siakallis, L., Li, H. B., Brandner, S., Zhang, J., Li, C., Mancini, L., & Bisdas, S. (2024). Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging, 24(1), 1–15. https://doi.org/10.1186/s12880-024-01274-9

Chicago

Yuan, Jialin, Loizos Siakallis, Hongwei Bran Li, Sebastian Brandner, Jianguo Zhang, Chenming Li, Laura Mancini, and Sotirios Bisdas. 2024. “Structural- and DTI- MRI Enable Automated Prediction of IDH Mutation Status in CNS WHO Grade 2–4 Glioma Patients: A Deep Radiomics Approach.” BMC Medical Imaging 24 (1): 1–15. doi:10.1186/s12880-024-01274-9.