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Shu Lih Oh

Showing results (1-10 of 29) with videos related to

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Computers in Biology and Medicine|January 18, 2023
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural networkV Jahmunah, Sylvia Chen, Shu Lih Oh, et al.
Frontiers in Psychiatry|December 26, 2022
Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signalsM Sami Zitouni, Shu Lih Oh, Jahmunah Vicnesh, et al.
Computers in Biology and Medicine|October 5, 2017
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signalsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine|June 16, 2018
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beatsShu Lih Oh, Eddie Y K Ng, Ru San Tan, et al.
Computers in Biology and Medicine|January 2, 2019
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia typesShu Lih Oh, Eddie Y K Ng, Ru San Tan, et al.
Computer Methods and Programs in Biomedicine|December 19, 2022
Uncertainty quantification in DenseNet model using myocardial infarction ECG signalsV Jahmunah, E Y K Ng, Ru-San Tan, et al.
Computers in Biology and Medicine|May 9, 2022
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signalsV Jahmunah, E Y K Ng, Ru-San Tan, et al.
Computer Methods and Programs in Biomedicine|June 2, 2018
Automated EEG-based screening of depression using deep convolutional neural networkU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Artificial Intelligence in Medicine|October 15, 2019
Automated detection of schizophrenia using nonlinear signal processing methodsV Jahmunah, Shu Lih Oh, V Rajinikanth, et al.
Computers in Biology and Medicine|September 5, 2017
A deep convolutional neural network model to classify heartbeatsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Computers in Biology and Medicine|January 18, 2023
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural networkV Jahmunah, Sylvia Chen, Shu Lih Oh, et al.
Frontiers in Psychiatry|December 26, 2022
Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signalsM Sami Zitouni, Shu Lih Oh, Jahmunah Vicnesh, et al.
Computers in Biology and Medicine|October 5, 2017
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signalsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine|June 16, 2018
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beatsShu Lih Oh, Eddie Y K Ng, Ru San Tan, et al.
Computers in Biology and Medicine|January 2, 2019
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia typesShu Lih Oh, Eddie Y K Ng, Ru San Tan, et al.
Computer Methods and Programs in Biomedicine|December 19, 2022
Uncertainty quantification in DenseNet model using myocardial infarction ECG signalsV Jahmunah, E Y K Ng, Ru-San Tan, et al.
Computers in Biology and Medicine|May 9, 2022
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signalsV Jahmunah, E Y K Ng, Ru-San Tan, et al.
Computer Methods and Programs in Biomedicine|June 2, 2018
Automated EEG-based screening of depression using deep convolutional neural networkU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Artificial Intelligence in Medicine|October 15, 2019
Automated detection of schizophrenia using nonlinear signal processing methodsV Jahmunah, Shu Lih Oh, V Rajinikanth, et al.
Computers in Biology and Medicine|September 5, 2017
A deep convolutional neural network model to classify heartbeatsU Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Pageof 3