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Author

Oh Shu Lih

Observed institution: Ngee Ann Polytechnic
OpenAlex ID: A5020990895
Deep learning for healthcare applications based on physiological signals: A review
2018 · Oliver Faust, Yuki Hagiwara, et al. · Computer Methods and Programs in Biomedicine · 1,081
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
2017 · U. Rajendra Acharya, Hamido Fujita, et al. · Information Sciences · 785
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network
2017 · U. Rajendra Acharya, Hamido Fujita, et al. · Knowledge-Based Systems · 385
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
2016 · U Rajendra Acharya, Hamido Fujita, et al. · Information Sciences · 234
Comprehensive electrocardiographic diagnosis based on deep learning
2020 · Oh Shu Lih, V Jahmunah, et al. · Artificial Intelligence in Medicine · 225
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
2021 · Joel.E.W. Koh, Chui Ping Ooi, et al. · Computers in Biology and Medicine · 87
Accurate detection of myocardial infarction using non linear features with ECG signals
2020 · Chaitra Sridhar, Oh Shu Lih, et al. · Journal of Ambient Intelligence and Humanized Computing · 70
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
2022 · Prabal Datta Barua, Jahmunah Vicnesh, et al. · Cognitive Neurodynamics · 55
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A novel machine learning framework for automated detection of arrhythmias in ECG segments
2021 · The-Hanh Pham, Vinitha Sree, et al. · Journal of Ambient Intelligence and Humanized Computing · 54
Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features
2017 · G. Muralidhar Bairy, Oh Shu Lih, et al. · Journal of Medical Imaging and Health Informatics · 50
Automated detection of glaucoma using optical coherence tomography angiogram images
2019 · Yam Meng Chan, E.Y.K. Ng, et al. · Computers in Biology and Medicine · 21
Automated plaque classification using computed tomography angiography and Gabor transformations
2019 · U. Rajendra Acharya, Kristen M. Meiburger, et al. · Artificial Intelligence in Medicine · 19
An adaptive feature extraction model for classification of thyroid lesions in ultrasound images
2020 · Hatwib Mugasa, Sumeet Dua, et al. · Pattern Recognition Letters · 17
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images
2022 · Oliver Faust, Simona De Michele, et al. · Computer Methods and Programs in Biomedicine · 10
Deep Image Analysis Methods for Microalgae Identification
2023 · Jeffrey Soar, Oh Shu Lih, et al. · Preprints.org
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頻拍心電図ビートからの非線形特徴を用いた不整脈の自動特性化【Powered by NICT】
2016 · Acharya U. Rajendra, Hamido Fujita, et al. · IEEE Conference Proceedings
Works count: 16
Citation count: 3,093
H-index: 13
I10-index: 14
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