Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images
- DOI
- 10.1109/wacv61041.2025.00427
- Published
- 2025-02-26
- Container
- 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/wacv61041.2025.00427,
title = {Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images},
author = {Muhammad Sohaib and Siyavash Shabani and Sahar A. Mohammed and Garrett Winkelmaier and Bahram Parvin},
year = {2025},
journal = {2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
doi = {10.1109/wacv61041.2025.00427},
url = {https://doi.org/10.1109/wacv61041.2025.00427}
}RIS
TY - JOUR TI - Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images AU - Muhammad Sohaib AU - Siyavash Shabani AU - Sahar A. Mohammed AU - Garrett Winkelmaier AU - Bahram Parvin PY - 2025 JO - 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) DO - 10.1109/wacv61041.2025.00427 UR - https://doi.org/10.1109/wacv61041.2025.00427 ER -
APA
Sohaib, M., Shabani, S., Mohammed, S. A., Winkelmaier, G., & Parvin, B. (2025). Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv61041.2025.00427
Source records
- crossref · retrieved 2026-09-25T19:42:40.853Z