Shu Lih Oh
Orcid: 0000-0003-3006-1958Affiliations:
- 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 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.
Expert Syst. J. Knowl. Eng., May, 2024
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals.
Inf. Sci., 2024
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
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
Neural Comput. Appl., 2020
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
Comput. Biol. Medicine, 2020
Comput. Biol. Medicine, 2020
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
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
Comput. Biol. Medicine, 2019
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
Inf. Sci., 2018
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
Future Gener. Comput. Syst., 2018
Comput. Methods Programs Biomed., 2018
Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
Comput. Methods Programs Biomed., 2018
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
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
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