Development and validation of an automated MRI-based pipeline for temporal classification of intracerebral hemorrhage using U-Net segmentation and machine learning.
- DOI
- 10.1007/s12194-026-01126-x
- Published
- 2026 Aug 22
- Container
- Radiological physics and technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12194-026-01126-x,
title = {Development and validation of an automated MRI-based pipeline for temporal classification of intracerebral hemorrhage using U-Net segmentation and machine learning.},
author = {Mori M and Masuda T and Matsushige T and Takeuchi M and Fujimoto T and Ishikawa M},
year = {2026},
journal = {Radiological physics and technology},
doi = {10.1007/s12194-026-01126-x},
url = {https://doi.org/10.1007/s12194-026-01126-x}
}RIS
TY - JOUR TI - Development and validation of an automated MRI-based pipeline for temporal classification of intracerebral hemorrhage using U-Net segmentation and machine learning. AU - Mori M AU - Masuda T AU - Matsushige T AU - Takeuchi M AU - Fujimoto T AU - Ishikawa M PY - 2026 JO - Radiological physics and technology DO - 10.1007/s12194-026-01126-x UR - https://doi.org/10.1007/s12194-026-01126-x ER -
APA
M, M., T, M., T, M., M, T., T, F., & M, I. (2026). Development and validation of an automated MRI-based pipeline for temporal classification of intracerebral hemorrhage using U-Net segmentation and machine learning.. Radiological physics and technology. https://doi.org/10.1007/s12194-026-01126-x
Source records
- pubmed · retrieved 2026-09-26T04:26:16.129Z