1 citations · 1 across the 2 of their papers we have counts for
4 papers
A streamable large-scale clinical EEG dataset for Deep Learning
Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju +2
Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research. Within the field of neuroscience, specifica…
NEMAR: An open access data, tools, and compute resource operating on NeuroElectroMagnetic data
Arnaud Delorme, Dung Truong, Choonhan Youn +5
To take advantage of recent and ongoing advances in large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archiv…
Assessing learned features of Deep Learning applied to EEG
Dung Truong, Scott Makeig, Arnaud Delorme
Convolutional Neural Networks (CNNs) have achieved impressive performance on many computer vision related tasks, such as object detection, image recognition, image retrieval, etc.…
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
Dung Truong, Michael Milham, Scott Makeig +1
The success of deep learning in computer vision has inspired the scientific community to explore new analysis methods. Within the field of neuroscience, specifically in electrophys…