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- BibTeX key
- conf/miccai/HuangLWCWYHZL24
- entry type
- inproceedings
- booktitle
- MICCAI (7)
- year
- 2024
- pages
- 498-508
- publisher
- Springer
- series
- Lecture Notes in Computer Science
- volume
- 15007
- crossref
- conf/miccai/2024-7
- ee
- https://doi.org/10.1007/978-3-031-72104-5_48
- isbn
- 978-3-031-72104-5
- url
- http://dblp.uni-trier.de/db/conf/miccai/miccai2024-7.html#HuangLWCWYHZL24
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- please select -%0 Conference Paper
%1 conf/miccai/HuangLWCWYHZL24
%A Huang, Shoujin
%A Luo, Guanxiong
%A Wang, Xi
%A Chen, Ziran
%A Wang, Yuwan
%A Yang, Huaishui
%A Heng, Pheng-Ann
%A Zhang, Lingyan
%A Lyu, Mengye
%B MICCAI (7)
%D 2024
%E Linguraru, Marius George
%E Dou, Qi
%E Feragen, Aasa
%E Giannarou, Stamatia
%E Glocker, Ben
%E Lekadir, Karim
%E Schnabel, Julia A.
%I Springer
%K dblp
%P 498-508
%T Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI.
%U http://dblp.uni-trier.de/db/conf/miccai/miccai2024-7.html#HuangLWCWYHZL24
%V 15007
%@ 978-3-031-72104-5
@inproceedings{conf/miccai/HuangLWCWYHZL24,
added-at = {2025-03-03T00:00:00.000+0100},
author = {Huang, Shoujin and Luo, Guanxiong and Wang, Xi and Chen, Ziran and Wang, Yuwan and Yang, Huaishui and Heng, Pheng-Ann and Zhang, Lingyan and Lyu, Mengye},
biburl = {https://www.bibsonomy.org/bibtex/24ece4620313010442f79902522e6caec/dblp},
booktitle = {MICCAI (7)},
crossref = {conf/miccai/2024-7},
editor = {Linguraru, Marius George and Dou, Qi and Feragen, Aasa and Giannarou, Stamatia and Glocker, Ben and Lekadir, Karim and Schnabel, Julia A.},
ee = {https://doi.org/10.1007/978-3-031-72104-5_48},
interhash = {123b51a76e38caf749eca1d84b31d905},
intrahash = {4ece4620313010442f79902522e6caec},
isbn = {978-3-031-72104-5},
keywords = {dblp},
pages = {498-508},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2025-04-02T01:11:29.000+0200},
title = {Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI.},
url = {http://dblp.uni-trier.de/db/conf/miccai/miccai2024-7.html#HuangLWCWYHZL24},
volume = 15007,
year = 2024
}