Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/ni/YanCYXXSC22
%A Yan, Jianzhuo
%A Chen, Lihong
%A Yu, Yongchuan
%A Xu, Hongxia
%A Xu, Zhe
%A Sheng, Ying
%A Chen, Jianhui
%D 2022
%J Neuroinformatics
%K dblp
%N 3
%P 701-726
%T Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
%U http://dblp.uni-trier.de/db/journals/ni/ni20.html#YanCYXXSC22
%V 20
@article{journals/ni/YanCYXXSC22,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Yan, Jianzhuo and Chen, Lihong and Yu, Yongchuan and Xu, Hongxia and Xu, Zhe and Sheng, Ying and Chen, Jianhui},
biburl = {https://www.bibsonomy.org/bibtex/2e7d993933158ee39844a7e37363d38c7/dblp},
ee = {https://www.wikidata.org/entity/Q114262623},
interhash = {734f90692f685efc45fbd5bb4e2c6278},
intrahash = {e7d993933158ee39844a7e37363d38c7},
journal = {Neuroinformatics},
keywords = {dblp},
number = 3,
pages = {701-726},
timestamp = {2024-04-08T12:11:30.000+0200},
title = {Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.},
url = {http://dblp.uni-trier.de/db/journals/ni/ni20.html#YanCYXXSC22},
volume = 20,
year = 2022
}