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2020 – today
- 2023
[j82]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: 101359-101372 (2023)- [j81]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: 108705-108715 (2023) - [j80]Suat Gokhan Ozkaya, Nursena Baygin, Prabal Datta Barua, Arvind R. Singh, Mohit Bajaj, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya:
Most complicated lock pattern-based seismological signal framework for automated earthquake detection. Int. J. Appl. Earth Obs. Geoinformation 118: 103297 (2023) - [j79]Prabal Datta Barua, Tugce Keles, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Caner Feyzi Demir, Hamido Fujita, Ru San Tan, Chui Ping Ooi, U. Rajendra Acharya:
Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database. Biomed. Signal Process. Control. 79(Part): 104055 (2023) - [j78]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: 104927 (2023) - [j77]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: 106841 (2023) - [j76]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) - [j75]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: 105821 (2023) - [j74]Nursena Baygin, Emrah Aydemir, Prabal Datta 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: 120306 (2023) - [j73]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): 1144-1159 (2023) - [j72]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): 879-892 (2023) - [j71]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): 1675-1686 (2023) - [j70]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: 110190 (2023) - [j69]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) - [j68]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): 21621-21632 (2023) - [j67]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): 22253-22263 (2023) - [c44]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 - [i4]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 abs/2310.13016 (2023) - [i3]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 abs/2311.07609 (2023) - 2022
- [j66]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) - [j65]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: 105335 (2022) - [j64]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: 105407 (2022) - [j63]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) - [j62]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: 105599 (2022) - [j61]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: 106677 (2022) - [j60]Ela Kaplan, Erman Altunisik, Yasemin Ekmekyapar Firat, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Fahrettin Burak Demir, Turker Tuncer, Elizabeth Emma 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: 107030 (2022) - [j59]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) - [j58]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): 778-797 (2022) - [j57]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): 34 (2022) - [j56]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): 102 (2022) - [c43]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: 2876-2880 - [i2]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 abs/2203.12315 (2022) - [i1]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 abs/2210.14253 (2022) - 2021
- [j55]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: 102733 (2021) - [j54]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: 104095 (2021) - [j53]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: 104457 (2021) - [j52]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: 91-104 (2021) - [j51]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: 580-604 (2021) - [j50]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: 323-337 (2021) - [j49]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) - [j48]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: 107473 (2021) - 2020
- [j47]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: 229043-229051 (2020) - [j46]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) - [j45]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) - [j44]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: 103753 (2020) - [j43]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: 103924 (2020) - [j42]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) - [j41]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: 105345 (2020) - [j40]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) - [j39]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: 105740 (2020) - [j38]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) - [j37]Manish Sharma, Ru San Tan, U. Rajendra Acharya:
Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters. Neural Comput. Appl. 32(20): 15869-15884 (2020) - [j36]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: 33-40 (2020) - [j35]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): 10149-10160 (2020)
2010 – 2019
- 2019
- [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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: 121-133 (2019) - [j29]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) - [j28]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: 82-94 (2019) - [j27]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: 359-367 (2019) - [j26]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: 23-30 (2019) - [j25]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: 35-41 (2019) - [c42]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: 1-4 - [c41]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: 1-4 - [c40]Liang Zhong, Shuang Leng, Xiaodan Zhao, Ru San Tan:
Feature Tracking for Ventricular Strain Assessment in Heart Failure with Preserved Ejection Fraction. CinC 2019: 1-2 - [c39]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: 1- - [c38]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: 820-823 - [c37]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: 4016-4019 - [c36]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: 4871-4874 - 2018
- [j24]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) - [j23]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) - [j22]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: 327-335 (2018) - [j21]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: 341-356 (2018) - [j20]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: 411-420 (2018) - [j19]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: 63-72 (2018) - [j18]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) - [j17]Özal Yildirim, Ru San Tan, U. Rajendra Acharya:
An efficient compression of ECG signals using deep convolutional autoencoders. Cogn. Syst. Res. 52: 198-211 (2018) - [j16]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) - [j15]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): 159-172 (2018) - [c35]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: 1-4 - [c34]Soo Kng Teo, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su:
Reconstruction of Patient-Specific Left Atrial Geometry From CMR Imaging. CinC 2018: 1-4 - [c33]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: 608-611 - [c32]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: 1115-1118 - [c31]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: 4500-4503 - [c30]Xulei Yang, Yi Su, Shuang Leng, Yong Yeo, Feng Yang, Ru San Tan, Liang Zhong:
Cardiac Image Segmentation Using Memory Persistence Methodology. EMBC 2018: 4504-4507 - 2017
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]U. Rajendra Acharya, Hamido Fujita, K. Sudarshan Vidya, Shu Lih Oh, Muhammad Adam, Joel E. W. Koh, Jen Hong Tan, Chua Kuang Chua, Chua Kok Poo, Ru San Tan:
Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals. Neural Comput. Appl. 28(10): 3073-3094 (2017) - [c29]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 - [c28]