Hosseini, S.A.; Servaes, S.; Hall, B.; Bhaduri, S.; Rajan, A.; Rosa-Neto, P.; Brem, S.; Loevner, L.A.; Mohan, S.; Chawla, S.
Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases. Diagnostics 2025, 15, 38.
https://doi.org/10.3390/diagnostics15010038
AMA Style
Hosseini SA, Servaes S, Hall B, Bhaduri S, Rajan A, Rosa-Neto P, Brem S, Loevner LA, Mohan S, Chawla S.
Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases. Diagnostics. 2025; 15(1):38.
https://doi.org/10.3390/diagnostics15010038
Chicago/Turabian Style
Hosseini, Seyyed Ali, Stijn Servaes, Brandon Hall, Sourav Bhaduri, Archith Rajan, Pedro Rosa-Neto, Steven Brem, Laurie A. Loevner, Suyash Mohan, and Sanjeev Chawla.
2025. "Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases" Diagnostics 15, no. 1: 38.
https://doi.org/10.3390/diagnostics15010038
APA Style
Hosseini, S. A., Servaes, S., Hall, B., Bhaduri, S., Rajan, A., Rosa-Neto, P., Brem, S., Loevner, L. A., Mohan, S., & Chawla, S.
(2025). Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases. Diagnostics, 15(1), 38.
https://doi.org/10.3390/diagnostics15010038
