Research graph
References from IEDetect: A hybrid interictal epileptic discharges detector software for EEG. Local targets link to admitted publications; unresolved targets remain external evidence.
The road to a world health organization global action plan on epilepsy and other neurological disorders
10.1111/epi.16856 · 2021 · External reference
A review of signal processing and machine learning techniques for interictal epileptiform discharge detection
10.1016/j.compbiomed.2023.107782 · 2024 · External reference
Interictal epileptiform discharges (IEDs) classification in EEG data of epilepsy patients
2017 · External reference
Unresolved reference
2014 · External reference
Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy
10.1111/j.1528-1167.2010.02536.x · 2010 · External reference
High-frequency oscillations as a new biomarker in epilepsy
10.1002/ana.22548 · 2012 · External reference
Interictal high-frequency oscillations (80–500 hz) are an indicator of seizure onset areas independent of spikes in the human epileptic brain
2010 · External reference
Comparison of dense array EEG with simultaneous intracranial EEG for interictal spike detection and localization
10.1016/j.eplepsyres.2011.09.007 · 2012 · External reference
Advances in epilepsy monitoring by detection and analysis of brain epileptiform discharges
10.1037/pne0000275 · 2022 · External reference
Artifact and recording concepts in EEG
10.1097/wnp.0b013e31821c3c93 · 2011 · External reference
Interrater agreement on identification of epileptiform discharges in EEG recordings
10.1016/j.clinph.2014.11.008 · 2015 · External reference
Local and network changes after multichannel transcranial direct current stimulation using magnetoencephalography in patients with refractory epilepsy
10.1016/j.clinph.2024.12.006 · 2025 · External reference
Unresolved reference
External reference
Inference about the change-point from cumulative sum tests
10.1093/biomet/58.3.509 · 1971 · External reference
Mining reproducible activation patterns in epileptic intracerebral EEG signals: application to interictal activity
10.1109/tbme.2003.820397 · 2004 · External reference
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
10.1088/1741-2552/aace8c · 2018 · External reference
Deep learning with convolutional neural networks for EEG decoding and visualization
10.1002/hbm.23730 · 2017 · External reference
MEG and EEG data analysis with MNE-Python
10.3389/fnins.2013.00267 · 2013 · External reference
Xception: deep learning with depthwise separable convolutions
2017 · External reference
An EEG dataset for interictal epileptiform discharge with spatial distribution information
10.1038/s41597-025-04572-1 · 2025 · External reference
Stereo-EEG based personalized multichannel transcranial direct current stimulation in drug-resistant epilepsy
10.1016/j.clinph.2022.02.023 · 2022 · External reference
Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment
10.1093/braincomms/fcaf012 · 2025 · External reference
A review of EEG-based driver fatigue detection: nonlinear dynamics, brain networks, and deep learning advances
10.1002/widm.70099 · 2026 · External reference
Entropy-informed deep residual network for nonlinear EEG dynamics in fine-grained driver state recognition
10.1016/j.asoc.2026.115532 · 2026 · External reference
Characterizing fatigue-related neural signatures via multi-band EEG features and a three-stage feature optimization strategy for driver fatigue detection
2026 · External reference
Enhancing unseen driver state detection: an EEG-based framework with brain connectivity and depthwise separable convolutional neural networks
10.1016/j.bspc.2026.110676 · 2026 · External reference
High-frequency oscillations as a new biomarker in epilepsy
10.1002/ana.22548 · ExternalCitation · doi-reference
Deep learning with convolutional neural networks for EEG decoding and visualization
10.1002/hbm.23730 · ExternalCitation · doi-reference
A review of EEG-based driver fatigue detection: nonlinear dynamics, brain networks, and deep learning advances
10.1002/widm.70099 · ExternalCitation · doi-reference
Entropy-informed deep residual network for nonlinear EEG dynamics in fine-grained driver state recognition
10.1016/j.asoc.2026.115532 · ExternalCitation · doi-reference
Enhancing unseen driver state detection: an EEG-based framework with brain connectivity and depthwise separable convolutional neural networks
10.1016/j.bspc.2026.110676 · ExternalCitation · doi-reference
Interrater agreement on identification of epileptiform discharges in EEG recordings
10.1016/j.clinph.2014.11.008 · ExternalCitation · doi-reference
Stereo-EEG based personalized multichannel transcranial direct current stimulation in drug-resistant epilepsy
10.1016/j.clinph.2022.02.023 · ExternalCitation · doi-reference
Local and network changes after multichannel transcranial direct current stimulation using magnetoencephalography in patients with refractory epilepsy
10.1016/j.clinph.2024.12.006 · ExternalCitation · doi-reference
A review of signal processing and machine learning techniques for interictal epileptiform discharge detection
10.1016/j.compbiomed.2023.107782 · ExternalCitation · doi-reference
Comparison of dense array EEG with simultaneous intracranial EEG for interictal spike detection and localization
10.1016/j.eplepsyres.2011.09.007 · ExternalCitation · doi-reference
Advances in epilepsy monitoring by detection and analysis of brain epileptiform discharges
10.1037/pne0000275 · ExternalCitation · doi-reference
An EEG dataset for interictal epileptiform discharge with spatial distribution information
10.1038/s41597-025-04572-1 · ExternalCitation · doi-reference
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
10.1088/1741-2552/aace8c · ExternalCitation · doi-reference
Inference about the change-point from cumulative sum tests
10.1093/biomet/58.3.509 · ExternalCitation · doi-reference
Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment
10.1093/braincomms/fcaf012 · ExternalCitation · doi-reference
Artifact and recording concepts in EEG
10.1097/wnp.0b013e31821c3c93 · ExternalCitation · doi-reference
Mining reproducible activation patterns in epileptic intracerebral EEG signals: application to interictal activity
10.1109/tbme.2003.820397 · ExternalCitation · doi-reference
The road to a world health organization global action plan on epilepsy and other neurological disorders
10.1111/epi.16856 · ExternalCitation · doi-reference
Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy
10.1111/j.1528-1167.2010.02536.x · ExternalCitation · doi-reference
MEG and EEG data analysis with MNE-Python
10.3389/fnins.2013.00267 · ExternalCitation · doi-reference
