%0 Conference Paper %1 conf/miccai/KamWJJHZLYHLZS19 %A Kam, Tae-Eui %A Wen, Xuyun %A Jin, Bing %A Jiao, Zhicheng %A Hsu, Li-Ming %A Zhou, Zhen %A Liu, Yujie %A Yamashita, Koji %A Hung, Sheng-Che %A Lin, Weili %A Zhang, Han %A Shen, Dinggang %B MICCAI (3) %D 2019 %E Shen, Dinggang %E Liu, Tianming %E Peters, Terry M. %E Staib, Lawrence H. %E Essert, Caroline %E Zhou, Sean %E Yap, Pew-Thian %E Khan, Ali R. %I Springer %K dblp %P 754-762 %T A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. %U http://dblp.uni-trier.de/db/conf/miccai/miccai2019-3.html#KamWJJHZLYHLZS19 %V 11766 %@ 978-3-030-32248-9

@inproceedings{conf/miccai/KamWJJHZLYHLZS19, added-at = {2022-01-03T00:00:00.000+0100}, author = {Kam, Tae-Eui and Wen, Xuyun and Jin, Bing and Jiao, Zhicheng and Hsu, Li-Ming and Zhou, Zhen and Liu, Yujie and Yamashita, Koji and Hung, Sheng-Che and Lin, Weili and Zhang, Han and Shen, Dinggang}, biburl = {https://www.bibsonomy.org/bibtex/2621d1fff3ec5a233748ae85cc90e461b/dblp}, booktitle = {MICCAI (3)}, crossref = {conf/miccai/2019-3}, editor = {Shen, Dinggang and Liu, Tianming and Peters, Terry M. and Staib, Lawrence H. and Essert, Caroline and Zhou, Sean and Yap, Pew-Thian and Khan, Ali R.}, ee = {https://doi.org/10.1007/978-3-030-32248-9_84}, interhash = {40b8959881adbe5155bc4314463dd850}, intrahash = {621d1fff3ec5a233748ae85cc90e461b}, isbn = {978-3-030-32248-9}, keywords = {dblp}, pages = {754-762}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T22:24:11.000+0200}, title = {A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.}, url = {http://dblp.uni-trier.de/db/conf/miccai/miccai2019-3.html#KamWJJHZLYHLZS19}, volume = 11766, year = 2019 }