GEMO: A Deep Learning Method for Brain Fiber Classification and Tract Segmentation Using Geometrical and Morphological Features
- DOI
- 10.1016/j.acra.2026.07.024
- Published
- 2026-08
- Container
- Academic Radiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2026.07.024,
title = {GEMO: A Deep Learning Method for Brain Fiber Classification and Tract Segmentation Using Geometrical and Morphological Features},
author = {Amin Barati shoorche and Bahador Makkiabadi and Parastoo Farnia and Samira Raminfard and Alexander Leemans},
year = {2026},
journal = {Academic Radiology},
doi = {10.1016/j.acra.2026.07.024},
url = {https://doi.org/10.1016/j.acra.2026.07.024}
}RIS
TY - JOUR TI - GEMO: A Deep Learning Method for Brain Fiber Classification and Tract Segmentation Using Geometrical and Morphological Features AU - Amin Barati shoorche AU - Bahador Makkiabadi AU - Parastoo Farnia AU - Samira Raminfard AU - Alexander Leemans PY - 2026 JO - Academic Radiology DO - 10.1016/j.acra.2026.07.024 UR - https://doi.org/10.1016/j.acra.2026.07.024 ER -
APA
shoorche, A. B., Makkiabadi, B., Farnia, P., Raminfard, S., & Leemans, A. (2026). GEMO: A Deep Learning Method for Brain Fiber Classification and Tract Segmentation Using Geometrical and Morphological Features. Academic Radiology. https://doi.org/10.1016/j.acra.2026.07.024
Source records
- crossref · retrieved 2026-09-26T10:58:37.950Z