A multi-sequence MRI integration framework using SwinUNETR-v2 for multiple sclerosis lesion segmentation.
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Abstract
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Data
Datasets cited
- kaggle.com/
datasets/ , at Kaggle; found in the referencesandrewmvd - kaggle.com/
datasets/ , at Kaggle; found in the referencesawsaf49 - kaggle.com/
datasets/ , at Kaggle; found in the referencesmarwa96
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Read it in the paper: doi.org/10.1186/s12911-026-03551-9.
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 4 keywords, 5 MeSH terms, 40 references.
Cite
This paper
Thabet, R. M., Shedeed, H. A., Al-Berry, M., & Khattab, D. (2026). A multi-sequence MRI integration framework using SwinUNETR-v2 for multiple sclerosis lesion segmentation. BMC medical informatics and decision making, 26(1), 195. https://
BibTeX
@article{thabet2026multi
author = {Thabet, Rezq Muhammed and Shedeed, Howida A. and Al-Berry, Maryam and Khattab, Dina},
title = {{A multi-sequence MRI integration framework using SwinUNETR-v2 for multiple sclerosis lesion segmentation}},
journal = {BMC medical informatics and decision making},
year = {2026},
month = may,
volume = {26},
number = {1},
pages = {195},
publisher = {BMC},
issn = {1472-6947},
doi = {10.1186/
url = {https://
pmid = {42210196},
pmcid = {PMC13227849}
}
RIS
TY - JOUR
AU - Thabet, Rezq Muhammed
AU - Shedeed, Howida A.
AU - Al-Berry, Maryam
AU - Khattab, Dina
TI - A multi-sequence MRI integration framework using SwinUNETR-v2 for multiple sclerosis lesion segmentation
T2 - BMC medical informatics and decision making
J2 - BMC Med Inform Decis Mak
PY - 2026
DA - 2026/
VL - 26
IS - 1
SP - 195
SN - 1472-6947
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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"language": "en",
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