Pediatric Leukodystrophy Classification from 3D MRI: A Comparative Study of Radiomics-Based Machine Learning, Deep Transfer Learning, and Hybrid Models
- DOI
- 10.1016/j.neurad.2026.101617
- Published
- 2026-10
- Container
- Journal of Neuroradiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neurad.2026.101617,
title = {Pediatric Leukodystrophy Classification from 3D MRI: A Comparative Study of Radiomics-Based Machine Learning, Deep Transfer Learning, and Hybrid Models},
author = {Zahra Saraji and Morteza Heidari and Saeid Rashidi and Mahmoudreza Ashrafi},
year = {2026},
journal = {Journal of Neuroradiology},
doi = {10.1016/j.neurad.2026.101617},
url = {https://doi.org/10.1016/j.neurad.2026.101617}
}RIS
TY - JOUR TI - Pediatric Leukodystrophy Classification from 3D MRI: A Comparative Study of Radiomics-Based Machine Learning, Deep Transfer Learning, and Hybrid Models AU - Zahra Saraji AU - Morteza Heidari AU - Saeid Rashidi AU - Mahmoudreza Ashrafi PY - 2026 JO - Journal of Neuroradiology DO - 10.1016/j.neurad.2026.101617 UR - https://doi.org/10.1016/j.neurad.2026.101617 ER -
APA
Saraji, Z., Heidari, M., Rashidi, S., & Ashrafi, M. (2026). Pediatric Leukodystrophy Classification from 3D MRI: A Comparative Study of Radiomics-Based Machine Learning, Deep Transfer Learning, and Hybrid Models. Journal of Neuroradiology. https://doi.org/10.1016/j.neurad.2026.101617
Source records
- crossref · retrieved 2026-11-10T13:43:46.360Z