Ge Shi, Jason Smucny, Ian Davidson. Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 1589-1597, ACM, 2022. [doi]
@inproceedings{ShiSD22,
title = {Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme},
author = {Ge Shi and Jason Smucny and Ian Davidson},
year = {2022},
doi = {10.1145/3534678.3539362},
url = {https://doi.org/10.1145/3534678.3539362},
researchr = {https://researchr.org/publication/ShiSD22},
cites = {0},
citedby = {0},
pages = {1589-1597},
booktitle = {KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022},
editor = {Aidong Zhang and Huzefa Rangwala},
publisher = {ACM},
isbn = {978-1-4503-9385-0},
}