vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data
Work
Year: 2024
Type: article
Abstract: To enhance deep learning-based automated interictal epileptiform discharge (IED) detection, this study proposes a multimodal method, vEpiNet, that leverages video and electroencephalogram (EEG) data. ... more
Source: Neural Networks
Institutions Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, NetEase (China)
Cites: 42
Cited by: 2
Related to: 10
FWCI: 2.353
Citation percentile (by year/subfield): 99.99
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
APC paid (est): $3,350