Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.
- DOI
- 10.1007/s10278-026-01900-8
- Published
- 2026-03-13
- Container
- J Imaging Inform Med
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-01900-8,
title = {Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.},
author = {Singh PK and Gulzar IUH and Gupta P and Dutta N and Mudgil P and Soundararajan R and Kumar A and Bose K and Gulati A and Kang M and Nigam A and Singh S.},
year = {2026},
journal = {J Imaging Inform Med},
doi = {10.1007/s10278-026-01900-8},
url = {https://doi.org/10.1007/s10278-026-01900-8}
}RIS
TY - JOUR TI - Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study. AU - Singh PK AU - Gulzar IUH AU - Gupta P AU - Dutta N AU - Mudgil P AU - Soundararajan R AU - Kumar A AU - Bose K AU - Gulati A AU - Kang M AU - Nigam A AU - Singh S. PY - 2026 JO - J Imaging Inform Med DO - 10.1007/s10278-026-01900-8 UR - https://doi.org/10.1007/s10278-026-01900-8 ER -
APA
PK, S., IUH, G., P, G., N, D., P, M., R, S., A, K., K, B., A, G., M, K., A, N., & S., S. (2026). Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.. J Imaging Inform Med. https://doi.org/10.1007/s10278-026-01900-8
Source records
- europe-pmc · retrieved 2026-09-26T02:39:31.465Z