Name
Title | ||
|---|---|---|
A Stacked Sparse Autoencoder-based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy. |
Abstract | ||
|---|---|---|
High-frequency oscillations (HFOs) are spontaneous magnetoencephalography (MEG) patterns that have been acknowledged as a putative biomarker to identify epileptic foci. Correct detection of HFOs in the MEG signals is crucial for the accurate and timely clinical evaluation. Since the visual examination of HFOs is time-consuming, error-prone, and with poor inter-reviewer reliability, an automatic HF... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2018.2836965 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Hafnium oxide,Detectors,Feature extraction,Machine learning,Surgery,Epilepsy,Head | Hafnium oxide,Computer vision,Autoencoder,Pattern recognition,Clinical Practice,Feature extraction,Artificial intelligence,Deep learning,Detector,Mathematics,Magnetoencephalography | Journal |
Volume | Issue | ISSN |
37 | 11 | 0278-0062 |
Citations | PageRank | References |
3 | 0.51 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayang Guo | 1 | 9 | 1.62 |
| Kun Yang | 2 | 3 | 0.51 |
| Hongyi Liu | 3 | 7 | 2.59 |
| Chunli Yin | 4 | 3 | 0.51 |
| Jing Xiang | 5 | 5 | 1.89 |
| Hailong Li | 6 | 3 | 0.85 |
| Rongrong Ji | 7 | 3616 | 189.98 |
| Yue Gao | 8 | 3259 | 124.70 |