Seizure prediction — ready for a new era

By Levin Kuhlmann, Klaus Lehnertz, M. Richardson, B. Schelter, H. Zaveri. 2018

404 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Psychiatry and Mental health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Arvid Lundervold
2. Adeel Razi

In Neurology

1. Arvid Lundervold
2. Dan Boneh
3. Florian Tramèr

In Psychiatry and Mental health

1. Arvid Lundervold
2. Adeel Razi
3. Patrick Kwan
4. Adnan Qayyum

Citations in the corpus

• An overview of deep learning in medical imaging focusing on MRI (2018, background): “seizures [17] and cardiac arrests [18], to computer-aided detection [19] and diagnosis [20] supporting clinical decision making and survival analysis [21], to drug discovery [22] and as an aid in therapy selection and pharmacogenomics [23], to increased operational efficiency [24], stratified care d”
• Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review (2020, background): “For a pre-ictal state to be of use clinically in a warning system, it has to be detected early enough so that the time under false warning is minimized [12].”