Ru San Tan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 115

Top Venues

Comput. Biol. Medicine

EMBC

Comput. Methods Programs Biomed.

CinC

Publications

Mehmet Ali Kobat, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Tarik Kivrak, Yusuf Akin, G. Muralidhar Bairy, Ru San Tan, U. Rajendra Acharya
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection. Multim. Tools Appl. 83 (12) (2024)
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. 83 (26) (2024)
Prabal Datta Barua, Serkan Kirik, Sengul Dogan, Canan Koc, Fatih Özkaynak, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images. Multim. Tools Appl. 83 (13) (2024)
Mehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya
Novel tiny textural motif pattern-based RNA virus protein sequence classification model. Expert Syst. Appl. 242 (2024)
Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Elizabeth Emma Palmer, Sonja March, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya
FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech. Comput. Biol. Medicine 173 (2024)
Sara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru San Tan, U. Rajendra Acharya
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. IEEE Access 12 (2024)
Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen Hong Tan, Sonja March, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Automated anxiety detection using probabilistic binary pattern with ECG signals. Comput. Methods Programs Biomed. 247 (2024)
Mehmet Kiliç, Prabal Datta Barua, Tugce Keles, Arif Metehan Yildiz, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Mutlu Kuluozturk, Ru San Tan, U. Rajendra Acharya
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi, Mirsaeed Abdollahi, Ali Jafarizadeh, Siamak Pedrammehr, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. CoRR (2024)
El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, Ru San Tan, U. Rajendra Acharya
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals. Expert Syst. Appl. 239 (2024)
Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. 244 (2024)
Serkan Kirik, Irem Tasci, Prabal Datta Barua, Arif Metehan Yildiz, Tugce Keles, Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Turker Tuncer, Aruna Devi, Ru San Tan, U. Rajendra Acharya
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals. Knowl. Based Syst. 300 (2024)
Prabal Datta Barua, Sengul Dogan, Gurkan Kavuran, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers. Neural Comput. Appl. 35 (30) (2023)
Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade. CoRR (2023)
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) (2023)
Gulay Tasci, Hui Wen Loh, Prabal Datta Barua, Mehmet Baygin, Burak Tasci, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Ru San Tan, U. Rajendra Acharya
Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals. Knowl. Based Syst. 260 (2023)
Serkan Kirik, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Caner Feyzi Demir, Tugce Keles, Arif Metehan Yildiz, Nursena Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
FGPat18: Feynman graph pattern-based language detection model using EEG signals. Biomed. Signal Process. Control. 85 (2023)
Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Abdul Hafeez-Baig, Ru San Tan, Subrata Chakraborty, U. Rajendra Acharya
Solving the multiplication problem of a large language model system using a graph-based method. CoRR (2023)
Prabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal. IEEE Access 11 (2023)
Chien Wei Oei, Eddie-Yin-Kwee Ng, Matthew Hok Shan Ng, Ru San Tan, Yam Meng Chan, Lai Gwen Chan, Udyavara Rajendra Acharya
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients. Sensors 23 (18) (2023)
Kenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, Yunus Balik, Sevim Alkan, Feyzanur Cavlak, Ahmet Kursad Poyraz, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Mehmet Erten, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images. Int. J. Imaging Syst. Technol. 33 (4) (2023)
Mehmet Erten, Ilknur Tuncer, Prabal Datta Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. J. Digit. Imaging 36 (4) (2023)
Nursena Baygin, Emrah Aydemir, Prabal D. Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals. Expert Syst. Appl. 227 (2023)
Mehmet Erten, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Swin-LBP: a competitive feature engineering model for urine sediment classification. Neural Comput. Appl. 35 (29) (2023)
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)
Ihsan Topaloglu, Prabal Datta Barua, Arif Metehan Yildiz, Tugce Keles, Sengul Dogan, Mehmet Baygin, Huseyin Fatih Gul, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds. Eng. Appl. Artif. Intell. 126 (2023)
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 (2023)
Suat Kamil Sut, Mustafa Koc, Gokhan Zorlu, Ihsan Serhatlioglu, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images. J. Digit. Imaging 36 (3) (2023)
Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158 (2023)
Prabal Datta Barua, Arif Metehan Yildiz, Nida Canpolat, Tugce Keles, Sengul Dogan, Mehmet Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya
An accurate automated speaker counting architecture based on James Webb Pattern. Eng. Appl. Artif. Intell. 119 (2023)
Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
FF-BTP Model for Novel Sound-Based Community Emotion Detection. IEEE Access 11 (2023)
Hui Wen Loh, Shuting Xu, Oliver Faust, Ooi Chui Ping, Prabal Datta Barua, Subrata Chakraborty, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Application of photoplethysmography signals for healthcare systems: An in-depth review. Comput. Methods Programs Biomed. 216 (2022)
Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39 (7) (2022)
Ela Kaplan, Erman Altunisik, Yasemin Ekmekyapar Firat, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Fahrettin Burak Demir, Turker Tuncer, Elizabeth Palmer, Ru San Tan, Ping Yu, Jeffrey Soar, Hamido Fujita, U. Rajendra Acharya
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images. Comput. Methods Programs Biomed. 224 (2022)
Oliver Faust, Wanrong Hong, Hui Wen Loh, Shuting Xu, Ru San Tan, Subrata Chakraborty, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Heart rate variability for medical decision support systems: A review. Comput. Biol. Medicine 145 (2022)
Nebras Sobahi, Abdulkadir Sengür, Ru San Tan, U. Rajendra Acharya
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection. Comput. Biol. Medicine 143 (2022)
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J. Ciaccio, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques. J. Imaging 8 (4) (2022)
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Akhila Vasudeva, Ashwal A. A. J., Krishnananda Nayak, Ru San Tan, Edward J. Ciaccio, Ooi Chui Ping, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding. Informatics 9 (2) (2022)
Prabal Datta Barua, Mehdi Karasu, Mehmet Ali Kobat, Yunus Balik, Tarik Kivrak, Mehmet Baygin, Sengül Dogan, Fahrettin Burak Demir, Türker Tuncer, Ru San Tan, U. Rajendra Acharya
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds. Comput. Biol. Medicine 146 (2022)
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 (2022)
Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. CoRR (2022)
Jianguo Chen, Xulei Yang, Shuang Leng, Ru San Tan, Zeng Zeng, Liang Zhong
MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance. ICIP (2022)
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 (2022)
Vidya K. Sudarshan, Reshma A. Ramachandra, Nicole Si Min Tan, Smit Ojha, Ru San Tan
VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays. Int. J. Imaging Syst. Technol. 32 (3) (2022)
Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru San Tan
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR (2022)
Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak
Automated detection of shockable ECG signals: A review. Inf. Sci. 571 (2021)
Fatma Murat, Özal Yildirim, Muhammed Talo, Yakup Demir, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
Exploring deep features and ECG attributes to detect cardiac rhythm classes. Knowl. Based Syst. 232 (2021)
Mehmet Baygin, Türker Tuncer, Sengül Dogan, Ru San Tan, U. Rajendra Acharya
Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10, 000 individual subject ECG records. Inf. Sci. 575 (2021)
V. Jahmunah, E. Y. K. Ng, Ru San Tan, U. Rajendra Acharya
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals. Comput. Biol. Medicine 134 (2021)
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) (2021)
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Mokshagna Rohit Gangavarapu, Abhilash Kudva, Ganesh Paramasivam, Krishnananda Nayak, Ru San Tan, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images. Biomed. Signal Process. Control. 68 (2021)
Türker Tuncer, Sengül Dogan, Ru San Tan, U. Rajendra Acharya
Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals. Inf. Sci. 565 (2021)
Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128 (2021)
Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24 (13) (2020)
Ashish Sharma, Niranjan Garg, Shivnarayan Patidar, Ru San Tan, U. Rajendra Acharya
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM. Comput. Biol. Medicine 120 (2020)
Hua Zou, Shuang Leng, Xi Ce, Xiaodan Zhao, Angela S. Koh, Fei Gao, Ju Le Tan, Ru San Tan, John Carson Allen, Lik Chuan Lee, Martin Genet, Liang Zhong
Three-dimensional biventricular strains in pulmonary arterial hypertension patients using hyperelastic warping. Comput. Methods Programs Biomed. 189 (2020)
Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya
Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image. IEEE Access 8 (2020)
Özal Yildirim, Muhammed Talo, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya
Accurate deep neural network model to detect cardiac arrhythmia on more than 10, 000 individual subject ECG records. Comput. Methods Programs Biomed. 197 (2020)
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 (2020)
Jaypal Singh Rajput, Manish Sharma, Ru San Tan, U. Rajendra Acharya
Automated detection of severity of hypertension ECG signals using an optimal bi-orthogonal wavelet filter bank. Comput. Biol. Medicine 123 (2020)
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 (2020)
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 (2020)
Manish Sharma, Ru San Tan, U. Rajendra Acharya
Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters. Neural Comput. Appl. 32 (20) (2020)
Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, Roohallah Alizadehsani, Sadiq Hussain, Mohammad Ehsan Basiri, Mariam Zomorodi Moghadam, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya, Ru San Tan, Nizal Sarrafzadegan
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 133 (2020)
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 (2020)
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 (2020)
Liang Zhong, Shuang Leng, Xiaodan Zhao, Ju Le Tan, Ru San Tan
Impaired Right Atrial Strain is Associated with Decompensated Hemodynamics in Pulmonary Arterial Hypertension. CinC (2019)
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) (2019)
Min Wan, Libin Ma, Xiaodan Zhao, Shuang Leng, Jun-Mei Zhang, Ru San Tan, Liang Zhong
Automatic Segmentation of Coronary Artery Lumen via Anisotropic Graph-cuts. EMBC (2019)
Min Wan, Yuli Yang, Xiaodan Zhao, Shuang Leng, Jun-Mei Zhang, Ru San Tan, Liang Zhong
Classifying HCM Subtypes via Left Ventricular Two-Dimensional Curvature and Dynamic Time Wrapping. CinC (2019)
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 (2019)
Liang Zhong, Shuang Leng, Xiaodan Zhao, Ru San Tan
Feature Tracking for Ventricular Strain Assessment in Heart Failure with Preserved Ejection Fraction. CinC (2019)
Xulei Yang, Gabriel Tjio, Feng Yang, Jie Ding, Senthil Kumar, Shuang Leng, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su
A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images. EMBC (2019)
Anjan Gudigar, U. Raghavendra, Tom Devasia, Krishnananda Nayak, Sheik Mohammed Danish, Gautam Kamath, Jyothi Samanth, Umesh M. Pai, Vidya Nayak, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
Global weighted LBP based entropy features for the assessment of pulmonary hypertension. Pattern Recognit. Lett. 125 (2019)
Ulas Baran Baloglu, Muhammed Talo, Özal Yildirim, Ru San Tan, U. Rajendra Acharya
Classification of myocardial infarction with multi-lead ECG signals and deep CNN. Pattern Recognit. Lett. 122 (2019)
Min Wan, Yuli Yang, Xiaodan Zhao, Shuang Leng, Jun-Mei Zhang, Ru San Tan, Liang Zhong
Reconstructing Cardiac Shape via Constrained Voronoi Diagram and Cyclic Dynamic Time Wrapping From CMR. CinC (2019)
Ankit A. Bhurane, Manish Sharma, Ru San Tan, U. Rajendra Acharya
An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals. Cogn. Syst. Res. 55 (2019)
Moloud Abdar, Wojciech Ksiazek, U. Rajendra Acharya, Ru San Tan, Vladimir Makarenkov, Pawel Plawiak
A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 179 (2019)
Anjan Gudigar, U. Raghavendra, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study. Future Gener. Comput. Syst. 90 (2019)
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 (2019)
Özal Yildirim, Ulas Baran Baloglu, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
A new approach for arrhythmia classification using deep coded features and LSTM networks. Comput. Methods Programs Biomed. 176 (2019)
Manish Sharma, Swapnil Singh, Abhishek Kumar, Ru San Tan, U. Rajendra Acharya
Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features. Comput. Biol. Medicine 115 (2019)
Xiaodan Zhao, Ru San Tan, Ju Le Tan, Ping Chai, Lynette L. Teo, Marielle V. Fortier, Teng Hong Tan, Shuang Leng, Wen Ruan, Jun-Mei Zhang, Jennifer Ann Bryant, Jonathan Yap, Ching Ching Ong, Devinder Singh, Soo Teik Lim, James W. Yip, Yucheng Chen, Liang Zhong
Elevated Right Atrial Pressure Associated with Alteration of Left Ventricular Contractility and Ventricular-Arterial Coupling in Pulmonary Artery Hypertension. EMBC (2019)
Özal Yildirim, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya
Arrhythmia detection using deep convolutional neural network with long duration ECG signals. Comput. Biol. Medicine 102 (2018)
Feng Yang, Xulei Yang, Soo Kng Teo, Gary Kee Khoon Lee, Liang Zhong, Ru San Tan, Yi Su
Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction. Comput. Medical Imaging Graph. 70 (2018)
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 (2018)
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 (2018)
Soo Kng Teo, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su
Reconstruction of Patient-Specific Left Atrial Geometry From CMR Imaging. CinC (2018)
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 (2018)
Shuang Leng, Xulei Yang, Xiaodan Zhao, Zeng Zeng, Yi Su, Angela S. Koh, David Sim, Ju Le Tan, Ru San Tan, Liang Zhong
Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging. EMBC (2018)
Xiaodan Zhao, Ru San Tan, Hak Chiaw Tang, Shuang Leng, Jun-Mei Zhang, Liang Zhong
Analysis of three-dimensional endocardial and epicardial strains from cardiac magnetic resonance in healthy subjects and patients with hypertrophic cardiomyopathy. Medical Biol. Eng. Comput. 56 (1) (2018)
Özal Yildirim, Ru San Tan, U. Rajendra Acharya
An efficient compression of ECG signals using deep convolutional autoencoders. Cogn. Syst. Res. 52 (2018)
Xulei Yang, Yi Su, Shuang Leng, Yong Yeo, Feng Yang, Ru San Tan, Liang Zhong
Cardiac Image Segmentation Using Memory Persistence Methodology. EMBC (2018)
Jun-Mei Zhang, Ru San Tan, Shuo Zhang, Rob J. van der Geest, Pankaj Garg, Bao Ru Leong, Jennifer Bryant, Tarinee Tangcharoen, Xiaodan Zhao, Ju Le Tan, Jos J. M. Westenberg, Liang Zhong
Comparison of Image Acquisition Techniques in Four-Dimensional Flow Cardiovascular MR on 3 Tesla in Volunteers and Tetralogy of Fallot Patients. EMBC (2018)
Oliver Faust, Alex Shenfield, Murtadha Kareem, Ru San Tan, Hamido Fujita, U. Rajendra Acharya
Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. Comput. Biol. Medicine 102 (2018)
Soo Kng Teo, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su
Characterization of Pulmonary Arterial Hypertension Using Right Ventricular Regional Curvedness Derived From CMR Imaging. CinC (2018)
Weimin Huang, Lu Huang, Zhiping Lin, Su Huang, Yanling Chi, Jiayin Zhou, Junmei Zhang, Ru San Tan, Liang Zhong
Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images. EMBC (2018)
Manish Sharma, Ru San Tan, U. Rajendra Acharya
A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank. Comput. Biol. Medicine 102 (2018)
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 (2018)
Soo Kng Teo, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su
Comparison of Left Ventricular Curvedness Derived from CMR Imaging with the Wall Motion Score Index for Male Patients after First-time Myocardial Infarction. CinC (2017)

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Ru San Tan