Wang, Y.; Dai, Y.; Liu, Z.; Guo, J.; Cao, G.; Ouyang, M.; Liu, D.; Shan, Y.; Kang, G.; Zhao, G.
Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation. Brain Sci. 2021, 11, 615.
https://doi.org/10.3390/brainsci11050615
AMA Style
Wang Y, Dai Y, Liu Z, Guo J, Cao G, Ouyang M, Liu D, Shan Y, Kang G, Zhao G.
Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation. Brain Sciences. 2021; 11(5):615.
https://doi.org/10.3390/brainsci11050615
Chicago/Turabian Style
Wang, Yiping, Yang Dai, Zimo Liu, Jinjie Guo, Gongpeng Cao, Mowei Ouyang, Da Liu, Yongzhi Shan, Guixia Kang, and Guoguang Zhao.
2021. "Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation" Brain Sciences 11, no. 5: 615.
https://doi.org/10.3390/brainsci11050615
APA Style
Wang, Y., Dai, Y., Liu, Z., Guo, J., Cao, G., Ouyang, M., Liu, D., Shan, Y., Kang, G., & Zhao, G.
(2021). Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation. Brain Sciences, 11(5), 615.
https://doi.org/10.3390/brainsci11050615