MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Journal Article
%1 journals/mia/YueLLKLCPHBWWW22
%A Yue, Hailin
%A Liu, Jin
%A Li, Junjian
%A Kuang, Hulin
%A Lang, Jinyi
%A Cheng, Jianhong
%A Peng, Lin
%A Han, Yongtao
%A Bai, Harrison
%A Wang, Yuping
%A Wang, Qifeng
%A Wang, Jianxin
%D 2022
%J Medical Image Anal.
%K dblp
%P 102423
%T MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
%U http://dblp.uni-trier.de/db/journals/mia/mia79.html#YueLLKLCPHBWWW22
%V 79
@article{journals/mia/YueLLKLCPHBWWW22,
added-at = {2023-01-10T00:00:00.000+0100},
author = {Yue, Hailin and Liu, Jin and Li, Junjian and Kuang, Hulin and Lang, Jinyi and Cheng, Jianhong and Peng, Lin and Han, Yongtao and Bai, Harrison and Wang, Yuping and Wang, Qifeng and Wang, Jianxin},
biburl = {https://www.bibsonomy.org/bibtex/2ca61a6478d210048286788a508840120/dblp},
ee = {https://doi.org/10.1016/j.media.2022.102423},
interhash = {f24b9ef01c75da1032b0a6c0a2a1de3c},
intrahash = {ca61a6478d210048286788a508840120},
journal = {Medical Image Anal.},
keywords = {dblp},
pages = 102423,
timestamp = {2024-04-08T15:55:25.000+0200},
title = {MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.},
url = {http://dblp.uni-trier.de/db/journals/mia/mia79.html#YueLLKLCPHBWWW22},
volume = 79,
year = 2022
}
