Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases
- DOI
- 10.3390/diagnostics15010038
- Published
- 2024-12-27
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics15010038,
title = {Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases},
author = {Seyyed Ali Hosseini and Stijn Servaes and Brandon Hall and Sourav Bhaduri and Archith Rajan and Pedro Rosa-Neto and Steven Brem and Laurie A. Loevner and Suyash Mohan and Sanjeev Chawla},
year = {2024},
journal = {Diagnostics},
doi = {10.3390/diagnostics15010038},
url = {https://doi.org/10.3390/diagnostics15010038}
}RIS
TY - JOUR TI - Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases AU - Seyyed Ali Hosseini AU - Stijn Servaes AU - Brandon Hall AU - Sourav Bhaduri AU - Archith Rajan AU - Pedro Rosa-Neto AU - Steven Brem AU - Laurie A. Loevner AU - Suyash Mohan AU - Sanjeev Chawla PY - 2024 JO - Diagnostics DO - 10.3390/diagnostics15010038 UR - https://doi.org/10.3390/diagnostics15010038 ER -
APA
Hosseini, S. A., Servaes, S., Hall, B., Bhaduri, S., Rajan, A., Rosa-Neto, P., Brem, S., Loevner, L. A., Mohan, S., & Chawla, S. (2024). Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases. Diagnostics. https://doi.org/10.3390/diagnostics15010038
Source records
- crossref · retrieved 2026-09-25T18:01:00.501Z