Tasci, E.; Zhuge, Y.; Zhang, L.; Ning, H.; Cheng, J.Y.; Miller, R.W.; Camphausen, K.; Krauze, A.V.
Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach. Diagnostics 2025, 15, 1292.
https://doi.org/10.3390/diagnostics15101292
AMA Style
Tasci E, Zhuge Y, Zhang L, Ning H, Cheng JY, Miller RW, Camphausen K, Krauze AV.
Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach. Diagnostics. 2025; 15(10):1292.
https://doi.org/10.3390/diagnostics15101292
Chicago/Turabian Style
Tasci, Erdal, Ying Zhuge, Longze Zhang, Holly Ning, Jason Y. Cheng, Robert W. Miller, Kevin Camphausen, and Andra V. Krauze.
2025. "Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach" Diagnostics 15, no. 10: 1292.
https://doi.org/10.3390/diagnostics15101292
APA Style
Tasci, E., Zhuge, Y., Zhang, L., Ning, H., Cheng, J. Y., Miller, R. W., Camphausen, K., & Krauze, A. V.
(2025). Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach. Diagnostics, 15(10), 1292.
https://doi.org/10.3390/diagnostics15101292