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Shu Lih Oh
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- affiliation: Ngee Ann Polytechnic, School of Electronics and Computer Engineering, Singapore
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2020 – today
- 2024
- [j52]Joel Koh En Wei, Venkatesan Rajinikanth, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan, Aditya P. Kamath, Giliyar Muralidhar Bairy, Prabal Datta Barua, Kang Hao Cheong:
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals. Expert Syst. J. Knowl. Eng. 41(5) (2024) - [j51]Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi:
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. Inf. Sci. 665: 120383 (2024) - 2023
- [j50]V. Jahmunah, Sylvia Chen, Shu Lih Oh, U. Rajendra Acharya, Balram Chowbay:
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network. Comput. Biol. Medicine 153: 106548 (2023) - [j49]Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya:
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. Comput. Biol. Medicine 164: 107312 (2023) - [j48]V. Jahmunah, E. Y. K. Ng, Ru San Tan, Shu Lih Oh, U. Rajendra Acharya:
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals. Comput. Methods Programs Biomed. 229: 107308 (2023) - [j47]Oliver Faust, Simona De Michele, Joel E. W. Koh, V. Jahmunah, Shu Lih Oh, Aditya P. Kamath, Prabal Datta Barua, Edward J. Ciaccio, Suzanne K. Lewis, Peter H. R. Green, Govind Bhagat, U. Rajendra Acharya:
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images. Comput. Methods Programs Biomed. 230: 107320 (2023) - [j46]Hui Wen Loh, Chui Ping Ooi, Shu Lih Oh, Prabal Datta Barua, Yi Ren Tan, Filippo Molinari, Sonja March, U. Rajendra Acharya, Daniel Shuen Sheng Fung:
Deep neural network technique for automated detection of ADHD and CD using ECG signal. Comput. Methods Programs Biomed. 241: 107775 (2023) - [j45]Prabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Ali Kobat, Fahrettin Burak Demir, Mehmet Baygin, Turker Tuncer, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya:
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals. Int. J. Mach. Learn. Cybern. 14(5): 1651-1668 (2023) - [c3]Jeffrey Soar, Shu Lih Oh, Hui Wen Loh, Aletha Ward, Ekta Sharma, Ravinesh C. Deo, Prabal Datta Barua, Ru San Tan, Eliezer Rinen, U. Rajendra Acharya:
Deep Image Analysis for Microalgae Identification. iiWAS 2023: 280-292 - 2022
- [j44]Joel E. W. Koh, Ooi Chui Ping, Nikki S. J. Lim-Ashworth, Jahmunah Vicnesh, Hui Tian Tor, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya, Daniel Shuen Sheng Fung:
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals. Comput. Biol. Medicine 140: 105120 (2022) - [j43]V. Jahmunah, E. Y. K. Ng, Ru San Tan, Shu Lih Oh, U. Rajendra Acharya:
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals. Comput. Biol. Medicine 146: 105550 (2022) - 2021
- [j42]Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel E. W. Koh, Shu Lih Oh, Wei Shan Han, Leonard W. L. Yip, U. Rajendra Acharya:
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images. Biomed. Signal Process. Control. 69: 102895 (2021) - [j41]Hui Tian Tor, Ooi Chui Ping, Nikki S. J. Lim-Ashworth, Joel Koh En Wei, V. Jahmunah, Shu Lih Oh, U. Rajendra Acharya, Daniel Shuen Sheng Fung:
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals. Comput. Methods Programs Biomed. 200: 105941 (2021) - [j40]Joel Koh En Wei, Simona De Michele, K. Vidya Sudarshan, V. Jahmunah, Edward J. Ciaccio, Ooi Chui Ping, Raj Gururajan, Rashmi Gururajan, Shu Lih Oh, Suzanne K. Lewis, Peter H. R. Green, Govind Bhagat, U. Rajendra Acharya:
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach. Comput. Methods Programs Biomed. 203: 106010 (2021) - [j39]Jahmunah Vicnesh, K. Vidya Sudarshan, Shu Lih Oh, Raj Gururajan, Rashmi Gururajan, Xujuan Zhou, Xiaohui Tao, Oliver Faust, Edward J. Ciaccio, Kwan Hoong Ng, U. Rajendra Acharya:
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. Int. J. Imaging Syst. Technol. 31(2): 455-471 (2021) - [j38]Chaitra Sridhar, Shu Lih Oh, V. Jahmunah, Joel E. W. Koh, Edward J. Ciaccio, Ru San Tan, Arunkumar N., Seifedine Nimer Kadry, U. Rajendra Acharya:
Accurate detection of myocardial infarction using non linear features with ECG signals. J. Ambient Intell. Humaniz. Comput. 12(3): 3227-3244 (2021) - [j37]The-Hanh Pham, Subbhuraam Vinitha Sree, John Mapes, Sumeet Dua, Shu Lih Oh, Joel E. W. Koh, Edward J. Ciaccio, U. Rajendra Acharya:
A novel machine learning framework for automated detection of arrhythmias in ECG segments. J. Ambient Intell. Humaniz. Comput. 12(11): 10145-10162 (2021) - 2020
- [j36]Shu Lih Oh, Jahmunah Vicnesh, Ru San Tan, Edward J. Ciaccio, Toshitaka Yamakawa, Masayuki Tanabe, Makiko Kobayashi, Oliver Faust, U. Rajendra Acharya:
Comprehensive electrocardiographic diagnosis based on deep learning. Artif. Intell. Medicine 103: 101789 (2020) - [j35]Desmond Chuang Kiat Soh, E. Y. K. Ng, V. Jahmunah, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya:
A computational intelligence tool for the detection of hypertension using empirical mode decomposition. Comput. Biol. Medicine 118: 103630 (2020) - [j34]Desmond Chuang Kiat Soh, E. Y. K. Ng, V. Jahmunah, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya:
Automated diagnostic tool for hypertension using convolutional neural network. Comput. Biol. Medicine 126: 103999 (2020) - [j33]Christopher Kok, V. Jahmunah, Shu Lih Oh, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, Filippo Molinari, U. Rajendra Acharya:
Automated prediction of sepsis using temporal convolutional network. Comput. Biol. Medicine 127: 103957 (2020) - [j32]Shu Lih Oh, Jahmunah Vicnesh, Ooi Chui Ping, Ru San Tan, Edward J. Ciaccio, Toshitaka Yamakawa, Masayuki Tanabe, Makiko Kobayashi, U. Rajendra Acharya:
Classification of heart sound signals using a novel deep WaveNet model. Comput. Methods Programs Biomed. 196: 105604 (2020) - [j31]U. Rajendra Acharya, Oliver Faust, Edward J. Ciaccio, Joel Koh En Wei, Shu Lih Oh, Ru San Tan, Hasan Garan:
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. 197: 105773 (2020) - [j30]Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya:
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32(15): 10927-10933 (2020) - [j29]Hatwib Mugasa, Sumeet Dua, Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Chakri Madla, Pailin Kongmebhol, Kwan Hoong Ng, U. Rajendra Acharya:
An adaptive feature extraction model for classification of thyroid lesions in ultrasound images. Pattern Recognit. Lett. 131: 463-473 (2020) - [j28]Joel Koh En Wei, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Edward J. Ciaccio, U. Rajendra Acharya, Chai Hong Yeong, Mohd Kamil Bin Mohd Fabell, Kartini Rahmat, Anushya Vijayananthan, Norlisah Ramli:
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition. Pattern Recognit. Lett. 135: 106-113 (2020)
2010 – 2019
- 2019
- [j27]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, Ru San Tan:
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals. Appl. Intell. 49(1): 16-27 (2019) - [j26]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Jahmunah Vicnesh, Edward J. Ciaccio, Shu Lih Oh, Sock Keow Tan, Raja Rizal Azman Raja Aman, Filippo Molinari, Kwan Hoong Ng:
Automated plaque classification using computed tomography angiography and Gabor transformations. Artif. Intell. Medicine 100 (2019) - [j25]V. Jahmunah, Shu Lih Oh, V. Rajinikanth, Edward J. Ciaccio, Kang Hao Cheong, Arunkumar N., U. Rajendra Acharya:
Automated detection of schizophrenia using nonlinear signal processing methods. Artif. Intell. Medicine 100 (2019) - [j24]Shu Lih Oh, Eddie-Yin-Kwee Ng, Ru San Tan, U. Rajendra Acharya:
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types. Comput. Biol. Medicine 105: 92-101 (2019) - [j23]Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel Koh En Wei, Shu Lih Oh, Leonard Yip Wei Leon, U. Rajendra Acharya:
Automated detection of glaucoma using optical coherence tomography angiogram images. Comput. Biol. Medicine 115 (2019) - [j22]U. Rajendra Acharya, Oliver Faust, Edward J. Ciaccio, Joel Koh En Wei, Shu Lih Oh, Ru San Tan, Hasan Garan:
Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation. Comput. Methods Programs Biomed. 175: 163-178 (2019) - [j21]U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, Joel E. W. Koh, Shu Lih Oh, Edward J. Ciaccio, Asit Kumar Subudhi, V. Jahmunah, Sukanta Sabut:
Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. Cogn. Syst. Res. 58: 134-142 (2019) - [j20]Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Jen Hong Tan, Edward J. Ciaccio, Peter H. R. Green, Suzanne K. Lewis, U. Rajendra Acharya:
Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images. Future Gener. Comput. Syst. 90: 86-93 (2019) - [j19]U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, S. Suren, Joel E. W. Koh, Shu Lih Oh, Arunkumar N., Edward J. Ciaccio, Choo Min Lim:
Characterization of focal EEG signals: A review. Future Gener. Comput. Syst. 91: 290-299 (2019) - [j18]Jahmunah Vicnesh, Joel Koh En Wei, Edward J. Ciaccio, Shu Lih Oh, Govind Bhagat, Suzanne K. Lewis, Peter H. R. Green, U. Rajendra Acharya:
Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors. J. Medical Syst. 43(6): 157:1-157:9 (2019) - 2018
- [j17]Jen Hong Tan, Yuki Hagiwara, Winnie Pang, Ivy Lim, Shu Lih Oh, Muhammad Adam, Ru San Tan, Ming Chen, U. Rajendra Acharya:
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals. Comput. Biol. Medicine 94: 19-26 (2018) - [j16]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli:
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput. Biol. Medicine 100: 270-278 (2018) - [j15]Shu Lih Oh, Eddie-Yin-Kwee Ng, Ru San Tan, U. Rajendra Acharya:
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats. Comput. Biol. Medicine 102: 278-287 (2018) - [j14]Oliver Faust, Yuki Hagiwara, Jen Hong Tan, Shu Lih Oh, U. Rajendra Acharya:
Deep learning for healthcare applications based on physiological signals: A review. Comput. Methods Programs Biomed. 161: 1-13 (2018) - [j13]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, Subha D. Puthankattil:
Automated EEG-based screening of depression using deep convolutional neural network. Comput. Methods Programs Biomed. 161: 103-113 (2018) - [j12]Muhammad Adam, Shu Lih Oh, K. Vidya Sudarshan, Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, Ru San Tan, U. Rajendra Acharya:
Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals. Comput. Methods Programs Biomed. 161: 133-143 (2018) - [j11]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, U. Raghavendra, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Yuki Hagiwara:
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. Future Gener. Comput. Syst. 79: 952-959 (2018) - [j10]Yuki Hagiwara, Hamido Fujita, Shu Lih Oh, Jen Hong Tan, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya:
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review. Inf. Sci. 467: 99-114 (2018) - 2017
- [j9]U. Rajendra Acharya, K. Vidya Sudarshan, Joel E. W. Koh, Roshan Joy Martis, Jen Hong Tan, Shu Lih Oh, Muhammad Adam, Yuki Hagiwara, Muthu Rama Krishnan Mookiah, Chua Kok Poo, Chua Kuang Chua, Ru San Tan:
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals. Biomed. Signal Process. Control. 31: 31-43 (2017) - [j8]K. Vidya Sudarshan, U. Rajendra Acharya, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua, Chua Kok Poo, Ru San Tan:
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 83: 48-58 (2017) - [j7]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Ru San Tan:
A deep convolutional neural network model to classify heartbeats. Comput. Biol. Medicine 89: 389-396 (2017) - [j6]U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, Shu Lih Oh, K. Vidya Sudarshan, Jen Hong Tan, Joel E. W. Koh, Yuki Hagiwara, Chua Kuang Chua, Chua Kok Poo, Ru San Tan:
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study. Inf. Sci. 377: 17-29 (2017) - [j5]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam:
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network. Inf. Sci. 405: 81-90 (2017) - [j4]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam:
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf. Sci. 415: 190-198 (2017) - [j3]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua:
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network. Knowl. Based Syst. 132: 62-71 (2017) - [j2]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Jie Hui Koo, Arihant Jain, Choo Min Lim, Kuang Chua Chua:
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal. Knowl. Based Syst. 132: 156-166 (2017) - [c2]Hamido Fujita, K. Vidya Sudarshan, Muhammad Adam, Shu Lih Oh, Jen Hong Tan, Yuki Hagiwara, Kuang Chua Chua, Chua Kok Poo, U. Rajendra Acharya:
Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal. IEA/AIE (1) 2017: 259-266 - 2016
- [j1]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shu Lih Oh, Muhammad Adam, Joel E. W. Koh, Jen Hong Tan, Dhanjoo N. Ghista, Roshan Joy Martis, Chua Kuang Chua, Chua Kok Poo, Ru San Tan:
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads. Knowl. Based Syst. 99: 146-156 (2016) - [c1]U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, Shu Lih Oh, Jen Hong Tan, K. Vidya Sudarshan, Joel E. W. Koh:
Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats. SMC 2016: 533-538
Coauthor Index
aka: Joel Koh En Wei
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