Neonatal Seizure Detection Using Deep Convolutional Neural Networks

Interrater agreement in the interpretation of neonatal electroencephalography in hypoxic-ischemic encephalopathy

(2017) Courtney J. Wusthoff et al.   EPILEPSIA

Growing random forest on deep convolutional neural networks for scene categorization

(2017) Shuang Bai   EXPERT SYSTEMS WITH APPLICATIONS

Validation of an automated seizure detection algorithm for term neonates

(2016) Sean R. Mathieson et al.   CLINICAL NEUROPHYSIOLOGY

Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor

(2016) A.H. Ansari et al.   CLINICAL NEUROPHYSIOLOGY

Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary

(2014) Sunil Belur Nagaraj et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Tensor Deep Stacking Networks

(2013) Brian Hutchinson et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

ROBUST NEONATAL EEG SEIZURE DETECTION THROUGH ADAPTIVE BACKGROUND MODELING

(2013) ANDRIY TEMKO et al.   International Journal of Neural Systems

Automated artifact removal as preprocessing refines neonatal seizure detection

(2011) M. De Vos et al.   CLINICAL NEUROPHYSIOLOGY

Validation of a new automated neonatal seizure detection system: A clinician’s perspective

(2011) P.J. Cherian et al.   CLINICAL NEUROPHYSIOLOGY

Interobserver Reproducibility of Electroencephalogram Interpretation in Critically Ill Children

(2011) Nicholas S. Abend et al.   JOURNAL OF CLINICAL NEUROPHYSIOLOGY

A novel hybrid CNN–SVM classifier for recognizing handwritten digits

(2011) Xiao-Xiao Niu et al.   PATTERN RECOGNITION

EEG-based neonatal seizure detection with Support Vector Machines

(2010) A. Temko et al.   CLINICAL NEUROPHYSIOLOGY

Performance assessment for EEG-based neonatal seizure detectors

(2010) A. Temko et al.   CLINICAL NEUROPHYSIOLOGY

Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

(2010) H Cecotti et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Gaussian mixture models for classification of neonatal seizures using EEG

(2010) E M Thomas et al.   PHYSIOLOGICAL MEASUREMENT

A Multistage System for the Automated Detection of Epileptic Seizures in Neonatal Electroencephalography

(2009) Joyeeta Mitra et al.   JOURNAL OF CLINICAL NEUROPHYSIOLOGY

A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection

(2009) Samanwoy Ghosh-Dastidar et al.   NEURAL NETWORKS

A comparison of quantitative EEG features for neonatal seizure detection

(2008) B.R. Greene et al.   CLINICAL NEUROPHYSIOLOGY

Automated neonatal seizure detection mimicking a human observer reading EEG

(2008) W. Deburchgraeve et al.   CLINICAL NEUROPHYSIOLOGY

Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection

(2008) S. Ghosh-Dastidar et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Accuracy of Bedside Electroencephalographic Monitoring in Comparison With Simultaneous Continuous Conventional Electroencephalography for Seizure Detection in Term Infants

(2008) D. K. Shah et al.   PEDIATRICS

Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures

(2007) D M Murray et al.   Archives of Disease in Childhood-Fetal and Neonatal Edition