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Ru-San Tan

Showing results (21-30 of 302) with videos related to

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Computers in Biology and Medicine|October 19, 2019
Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG featuresManish Sharma, Swapnil Singh, Abhishek Kumar, et al.
Circulation|January 30, 2002
Images in cardiovascular medicine. Occult anomalous pulmonary venous drainage: the clinical value of cardiac magnetic resonance imagingRu-San Tan, Elijah Raphael Behr, William John McKenna, et al.
Plos One|April 12, 2014
Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided toolLiang Zhong, Jun-Mei Zhang, Xiaodan Zhao, et al.
Value in Health Regional Issues|January 17, 2025
Cost-Effectiveness Analysis of Inclisiran for the Treatment of Primary Hypercholesterolemia or Mixed Dyslipidemia in SingaporeYan Ling Lim, Ru-San Tan, Kian Keong Poh, et al.
Computers in Biology and Medicine|May 19, 2020
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTMAshish Sharma, Niranjan Garg, Shivnarayan Patidar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Analysis of left ventricular surface deformation during isovolumic contractionSi Yong Yeo, Liang Zhong, Yi Su, et al.
Heart, Lung & Circulation|December 3, 2014
Left ventricular diastolic function assessment using time differences between mitral annular velocities and transmitral inflow velocities in patients with heart failureFei Qiong Huang, Ru San Tan, David Sim, et al.
Computer Methods and Programs in Biomedicine|September 15, 2020
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG recordsOzal Yildirim, Muhammed Talo, Edward J Ciaccio, 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.
Pageof 31

Showing results (21-30 of 302) with videos related to

Sort By:
Pageof 31
Computers in Biology and Medicine|October 19, 2019
Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG featuresManish Sharma, Swapnil Singh, Abhishek Kumar, et al.
Circulation|January 30, 2002
Images in cardiovascular medicine. Occult anomalous pulmonary venous drainage: the clinical value of cardiac magnetic resonance imagingRu-San Tan, Elijah Raphael Behr, William John McKenna, et al.
Plos One|April 12, 2014
Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided toolLiang Zhong, Jun-Mei Zhang, Xiaodan Zhao, et al.
Value in Health Regional Issues|January 17, 2025
Cost-Effectiveness Analysis of Inclisiran for the Treatment of Primary Hypercholesterolemia or Mixed Dyslipidemia in SingaporeYan Ling Lim, Ru-San Tan, Kian Keong Poh, et al.
Computers in Biology and Medicine|May 19, 2020
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTMAshish Sharma, Niranjan Garg, Shivnarayan Patidar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Analysis of left ventricular surface deformation during isovolumic contractionSi Yong Yeo, Liang Zhong, Yi Su, et al.
Heart, Lung & Circulation|December 3, 2014
Left ventricular diastolic function assessment using time differences between mitral annular velocities and transmitral inflow velocities in patients with heart failureFei Qiong Huang, Ru San Tan, David Sim, et al.
Computer Methods and Programs in Biomedicine|September 15, 2020
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG recordsOzal Yildirim, Muhammed Talo, Edward J Ciaccio, 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.
Pageof 31