Shu Lih Oh

Orcid: 0000-0003-3006-1958

Affiliations:
  • Ngee Ann Polytechnic, School of Electronics and Computer Engineering, Singapore


According to our database1, Shu Lih Oh authored at least 55 papers between 2016 and 2023.

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

Timeline

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Online presence:

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Bibliography

2023
Deep neural network technique for automated detection of ADHD and CD using ECG signal.
Comput. Methods Programs Biomed., November, 2023

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population.
Comput. Biol. Medicine, September, 2023

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals.
Int. J. Mach. Learn. Cybern., May, 2023

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images.
Comput. Methods Programs Biomed., March, 2023

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals.
Comput. Methods Programs Biomed., February, 2023

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network.
Comput. Biol. Medicine, February, 2023

Deep Image Analysis for Microalgae Identification.
Proceedings of the Information Integration and Web Intelligence, 2023

2022
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals.
Comput. Biol. Medicine, 2022

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.
Comput. Biol. Medicine, 2022

2021
Accurate detection of myocardial infarction using non linear features with ECG signals.
J. Ambient Intell. Humaniz. Comput., 2021

A novel machine learning framework for automated detection of arrhythmias in ECG segments.
J. Ambient Intell. Humaniz. Comput., 2021

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science.
Int. J. Imaging Syst. Technol., 2021

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach.
Comput. Methods Programs Biomed., 2021

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals.
Comput. Methods Programs Biomed., 2021

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images.
Biomed. Signal Process. Control., 2021

2020
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition.
Pattern Recognit. Lett., 2020

An adaptive feature extraction model for classification of thyroid lesions in ultrasound images.
Pattern Recognit. Lett., 2020

A deep learning approach for Parkinson's disease diagnosis from EEG signals.
Neural Comput. Appl., 2020

Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images.
Neural Comput. Appl., 2020

Classification of heart sound signals using a novel deep WaveNet model.
Comput. Methods Programs Biomed., 2020

Corrigendum to 'Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation' Computer Methods and Programs in Biomedicine 175 (2019) 163-178.
Comput. Methods Programs Biomed., 2020

A computational intelligence tool for the detection of hypertension using empirical mode decomposition.
Comput. Biol. Medicine, 2020

Automated diagnostic tool for hypertension using convolutional neural network.
Comput. Biol. Medicine, 2020

Automated prediction of sepsis using temporal convolutional network.
Comput. Biol. Medicine, 2020

Comprehensive electrocardiographic diagnosis based on deep learning.
Artif. Intell. Medicine, 2020

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

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

Characterization of focal EEG signals: A review.
Future Gener. Comput. Syst., 2019

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images.
Cogn. Syst. Res., 2019

Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation.
Comput. Methods Programs Biomed., 2019

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.
Comput. Biol. Medicine, 2019

Automated detection of glaucoma using optical coherence tomography angiogram images.
Comput. Biol. Medicine, 2019

Automated detection of schizophrenia using nonlinear signal processing methods.
Artif. Intell. Medicine, 2019

Automated plaque classification using computed tomography angiography and Gabor transformations.
Artif. Intell. 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 Gener. Comput. Syst., 2018

Deep learning for healthcare applications based on physiological signals: A review.
Comput. Methods Programs Biomed., 2018

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
Comput. Methods Programs Biomed., 2018

Automated EEG-based screening of depression using deep convolutional neural network.
Comput. Methods Programs Biomed., 2018

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Comput. Biol. Medicine, 2018

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats.
Comput. Biol. Medicine, 2018

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.
Comput. Biol. Medicine, 2018

2017
Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals.
Neural Comput. Appl., 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.
Comput. Biol. Medicine, 2017

A deep convolutional neural network model to classify heartbeats.
Comput. Biol. Medicine, 2017

Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals.
Biomed. Signal Process. 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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