Shu Lih Oh

According to our database1, Shu Lih Oh authored at least 30 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors.
J. Medical Systems, 2019

Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images.
Future Generation Comp. Syst., 2019

Characterization of focal EEG signals: A review.
Future Generation Comp. Syst., 2019

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images.
Cognitive Systems Research, 2019

Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation.
Computer Methods and Programs in Biomedicine, 2019

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.
Comp. in Bio. and Med., 2019

Automated detection of glaucoma using optical coherence tomography angiogram images.
Comp. in Bio. and Med., 2019

Automated detection of schizophrenia using nonlinear signal processing methods.
Artificial Intelligence in Medicine, 2019

Automated plaque classification using computed tomography angiography and Gabor transformations.
Artificial Intelligence in Medicine, 2019

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals.
Appl. Intell., 2019

2018
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review.
Inf. Sci., 2018

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
Future Generation Comp. Syst., 2018

Deep learning for healthcare applications based on physiological signals: A review.
Computer Methods and Programs in Biomedicine, 2018

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
Computer Methods and Programs in Biomedicine, 2018

Automated EEG-based screening of depression using deep convolutional neural network.
Computer Methods and Programs in Biomedicine, 2018

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Comp. in Bio. and Med., 2018

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats.
Comp. in Bio. and Med., 2018

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.
Comp. in Bio. and Med., 2018

2017
Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals.
Neural Computing and Applications, 2017

Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal.
Knowl.-Based Syst., 2017

Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network.
Knowl.-Based Syst., 2017

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals.
Inf. Sci., 2017

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network.
Inf. Sci., 2017

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study.
Inf. Sci., 2017

Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals.
Comp. in Bio. and Med., 2017

A deep convolutional neural network model to classify heartbeats.
Comp. in Bio. and Med., 2017

Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals.
Biomed. Signal Proc. and Control, 2017

Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads.
Knowl.-Based Syst., 2016

Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016


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