Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma

MLA

Anahita Fathi Kazerooni, et al. “Clinical Measures, Radiomics, and Genomics Offer Synergistic Value in AI-Based Prediction of Overall Survival in Patients with Glioblastoma.” Scientific Reports, vol. 12, no. 1, May 2022, pp. 1–13. EBSCOhost, https://doi.org/10.1038/s41598-022-12699-z.

APA

Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, Danni Tu, Vishnu Bashyam, Hamed Akbari, Elizabeth Mamourian, Chiharu Sako, Costas Koumenis, Ioannis Verginadis, Ragini Verma, Russell T. Shinohara, Arati S. Desai, Robert A. Lustig, Steven Brem, Suyash Mohan, Stephen J. Bagley, Tapan Ganguly, Donald M. O’Rourke, … Christos Davatzikos. (2022). Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma. Scientific Reports, 12(1), 1–13. https://doi.org/10.1038/s41598-022-12699-z

Chicago

Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, Danni Tu, Vishnu Bashyam, Hamed Akbari, Elizabeth Mamourian, et al. 2022. “Clinical Measures, Radiomics, and Genomics Offer Synergistic Value in AI-Based Prediction of Overall Survival in Patients with Glioblastoma.” Scientific Reports 12 (1): 1–13. doi:10.1038/s41598-022-12699-z.