Ru‐San Tan - Concepedia

Author

Ru‐San Tan

Also Known As

B. Tan, Baršić, Bruno, Bruno Baršić, I Epanomeritakis, Kabir, H M Dipu, Khin Aung Htun, Kok Yong Fong, Li San Lynette Teo, Luh-Nah Lum, R S Tan

665

Publications

23.6K

Citations

H-Index

250

Concepts

All Affiliations

National Heart Centre Singapore Duke-NUS Medical School Ngee Ann Polytechnic Singapore University of Social Sciences National University of Singapore

About

Ru‐San Tan is an author at National Heart Centre Singapore specializing in cardiology, medicine, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	41	87	6.1K
2	Engineering	35	56	7.6K
3	Health Sciences	15	16	596
4	Business	1	1	48
5	Management	1	1	48

Ru‐San Tan

231

Publications

20.1K

Citations

H-Index

Page 1

	Year	Citations
Apixaban in Patients with Atrial Fibrillation Stuart J. Connolly, John W. Eikelboom, Campbell Joyner, New England Journal of Medicine	2011	2.4K
A deep convolutional neural network model to classify heartbeats U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Computers in Biology and Medicine Biosignal ProcessingEngineeringMachine LearningDeep Learning	2017	1.3K
Arrhythmia detection using deep convolutional neural network with long duration ECG signals Özal Yıldırım, Paweł Pławiak, Ru‐San Tan, Computers in Biology and Medicine Convolutional Neural NetworkEngineeringBiosignal ProcessingArrhythmia DetectionDeep Learning	2018	817
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats Shu Lih Oh, E. Y. K. Ng, Ru‐San Tan, Computers in Biology and Medicine Electrophysiological EvaluationEngineeringMachine LearningPattern RecognitionBiosignal Processing	2018	692
Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF Sanjiv J. Shah, Carolyn S.P. Lam, Sara Svedlund, European Heart Journal	2018	587
Integrated allelic, transcriptional, and phenomic dissection of the cardiac effects of titin truncations in health and disease Angharad M. Roberts, James S. Ware, Daniel S. Herman, Science Translational Medicine Cardiac MuscleHeart FailureCardiac EffectsGeneticsCongenital Heart Anomaly	2015	489
Classification of myocardial infarction with multi-lead ECG signals and deep CNN Ulaş Baran Baloğlu, Muhammed Talo, Ru‐San Tan, Pattern Recognition Letters Deep CnnConvolutional Neural NetworkEngineeringMachine LearningCardiovascular Disease	2019	457
A new approach for arrhythmia classification using deep coded features and LSTM networks Ulaş Baran Baloğlu, Ru‐San Tan, Edward J. Ciaccio, Computer Methods and Programs in Biomedicine Electrophysiological EvaluationEngineeringMachine LearningPattern RecognitionBiosignal Processing	2019	364
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals Jen Hong Tan, Yuki Hagiwara, Winnie Pang, Computers in Biology and Medicine Electrophysiological EvaluationEngineeringMachine LearningBiosignal ProcessingEeg Signal Processing	2018	351
A new machine learning technique for an accurate diagnosis of coronary artery disease Moloud Abdar, Wojciech Książek, U. Rajendra Acharya, Computer Methods and Programs in Biomedicine Data ClassificationClassification MethodEngineeringMachine LearningCardiovascular Disease	2019	334

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