Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu. Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. In Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan, editors, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Volume 12966 of Lecture Notes in Computer Science, pages 674-681, Springer, 2021. [doi]
@inproceedings{DongJKDBL21,
title = {Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification},
author = {Peng Dong and Biao Jie and Lin Kai and Xintao Ding and Weixin Bian and Mingxia Liu},
year = {2021},
doi = {10.1007/978-3-030-87589-3_69},
url = {https://doi.org/10.1007/978-3-030-87589-3_69},
researchr = {https://researchr.org/publication/DongJKDBL21},
cites = {0},
citedby = {0},
pages = {674-681},
booktitle = {Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings},
editor = {Chunfeng Lian and Xiaohuan Cao and Islem Rekik and Xuanang Xu and Pingkun Yan},
volume = {12966},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87589-3},
}