QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation
- DOI
- 10.1109/access.2024.3395058
- Published
- 2024
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2024.3395058,
title = {QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation},
author = {Andreas Hammer Håversen and Durga Prasad Bavirisetti and Gabriel Hanssen Kiss and Frank Lindseth},
year = {2024},
journal = {IEEE Access},
doi = {10.1109/access.2024.3395058},
url = {https://doi.org/10.1109/access.2024.3395058}
}RIS
TY - JOUR TI - QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation AU - Andreas Hammer Håversen AU - Durga Prasad Bavirisetti AU - Gabriel Hanssen Kiss AU - Frank Lindseth PY - 2024 JO - IEEE Access DO - 10.1109/access.2024.3395058 UR - https://doi.org/10.1109/access.2024.3395058 ER -
APA
Håversen, A. H., Bavirisetti, D. P., Kiss, G. H., & Lindseth, F. (2024). QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation. IEEE Access. https://doi.org/10.1109/access.2024.3395058
Source records
- crossref · retrieved 2026-09-25T04:50:57.332Z