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ORCIDU. Rajendra Acharya
Udyavara Rajendra Acharya
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2020 – today
- 2022
[j359]Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya:
Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput. Methods Programs Biomed. 213: 106541 (2022)- 2021
- [j358]Emrah Aydemir, Türker Tuncer, Sengül Dogan, Raj Gururajan, U. Rajendra Acharya:
Automated major depressive disorder detection using melamine pattern with EEG signals. Appl. Intell. 51(9): 6449-6466 (2021) - [j357]Massimo Salvi
, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari:
A hybrid deep learning approach for gland segmentation in prostate histopathological images. Artif. Intell. Medicine 115: 102076 (2021) - [j356]Sengül Dogan, Erhan Akbal, Türker Tuncer, U. Rajendra Acharya:
Application of substitution box of present cipher for automated detection of snoring sounds. Artif. Intell. Medicine 117: 102085 (2021) - [j355]Deepak Ranjan Nayak, Dibyasundar Das, Banshidhar Majhi, Sulatha V. Bhandary, U. Rajendra Acharya:
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images. Biomed. Signal Process. Control. 67: 102559 (2021) - [j354]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j353]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) - [j352]Murtadha Kareem, Ningrong Lei, Ali Ali, Edward J. Ciaccio, U. Rajendra Acharya, Oliver Faust:
A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke. Biomed. Signal Process. Control. 69: 102818 (2021) - [j351]Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel E. W. Koh, Shu Lih Oh, Wei Shan Han, Leonard W. L. Yip, U. Rajendra Acharya:
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images. Biomed. Signal Process. Control. 69: 102895 (2021) - [j350]Mehmet Baygin, Orhan Yaman, Türker Tuncer, Sengül Dogan, Prabal Datta Barua, U. Rajendra Acharya:
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals. Biomed. Signal Process. Control. 70: 102936 (2021) - [j349]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) - [j348]Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger:
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. Comput. Biol. Medicine 128: 104129 (2021) - [j347]Manish Sharma, Harsh S. Dhiman, U. Rajendra Acharya:
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals. Comput. Biol. Medicine 131: 104246 (2021) - [j346]Daksh Maheshwari, Samit Kumar Ghosh, R. K. Tripathy, Manish Sharma, U. Rajendra Acharya:
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. Comput. Biol. Medicine 134: 104428 (2021) - [j345]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) - [j344]Mehmet Baygin, Sengül Dogan, Türker Tuncer, Prabal Datta Barua, Oliver Faust, N. Arunkumar, Enas W. Abdulhay, Elizabeth Emma Palmer, U. Rajendra Acharya:
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. Comput. Biol. Medicine 134: 104548 (2021) - [j343]Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j342]Kadir Yildirim, Pinar Gundogan Bozdag, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya:
Deep learning model for automated kidney stone detection using coronal CT images. Comput. Biol. Medicine 135: 104569 (2021) - [j341]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j340]Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, Priya Ranjan Muduli, R. K. Tripathy, U. Rajendra Acharya:
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. Comput. Biol. Medicine 137: 104783 (2021) - [j339]Sameena Pathan, P. C. Siddalingaswamy, Preetham Kumar, Manohara Pai M. M., Tanweer Ali, U. Rajendra Acharya:
Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images. Comput. Biol. Medicine 137: 104835 (2021) - [j338]Prabal Datta Barua, Sengül Dogan, Türker Tuncer, Mehmet Baygin, U. Rajendra Acharya:
Novel automated PD detection system using aspirin pattern with EEG signals. Comput. Biol. Medicine 137: 104841 (2021) - [j337]Abdullah Dogan, Merve Akay, Prabal Datta Barua, Mehmet Baygin, Sengül Dogan, Türker Tuncer, Ali Hikmet Dogru, U. Rajendra Acharya:
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition. Comput. Biol. Medicine 138: 104867 (2021) - [j336]Hui Tian Tor, Ooi Chui Ping, Nikki S. J. Lim-Ashworth, Joel Koh En Wei, V. Jahmunah, Shu Lih Oh, U. Rajendra Acharya, Daniel Shuen Sheng Fung:
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals. Comput. Methods Programs Biomed. 200: 105941 (2021) - [j335]Sajad Mousavi, Fatemeh Afghah, Fatemeh Khadem, U. Rajendra Acharya:
ECG Language processing (ELP): A new technique to analyze ECG signals. Comput. Methods Programs Biomed. 202: 105959 (2021) - [j334]Joel Koh En Wei, Simona De Michele, K. Vidya Sudarshan, V. Jahmunah, Edward J. Ciaccio, Ooi Chui Ping, Raj Gururajan, Rashmi Gururajan, Shu Lih Oh, Suzanne K. Lewis, Peter H. R. Green, Govind Bhagat, U. Rajendra Acharya:
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach. Comput. Methods Programs Biomed. 203: 106010 (2021) - [j333]Subbhuraam Vinitha Sree, Rob Royea, Kevin J. Buckman, Matt Benardis, Jim Holmes, Ronald L. Fletcher, Eyk Ng, U. Rajendra Acharya, Joshua D. I. Ellenhorn:
Corrigendum to 'An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device'[Computer Methods and Programs in Biomedicine 197: 105758]. Comput. Methods Programs Biomed. 205: 106118 (2021) - [j332]Prabal Datta Barua, Wai-Yee Chan, Sengül Dogan, Mehmet Baygin, Türker Tuncer, Edward J. Ciaccio, Nazrul Islam, Kang Hao Cheong, Zakia Sultana Shahid, U. Rajendra Acharya:
Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. Entropy 23(12): 1651 (2021) - [j331]Mariam Zomorodi Moghadam, Moloud Abdar, Zohreh Davarzani, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya:
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j330]Mohamed Hammad, Pawel Plawiak, Kuanquan Wang, Udyavara Rajendra Acharya:
ResNet-Attention model for human authentication using ECG signals. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j329]U. Raghavendra, Anjan Gudigar, Edward J. Ciaccio, Kwan Hoong Ng, Wai-Yee Chan, Kartini Rahmat, U. Rajendra Acharya:
2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j328]Oliver Faust, U. Rajendra Acharya:
Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals. Expert Syst. Appl. 181: 115031 (2021) - [j327]Türker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Automated EEG signal classification using chaotic local binary pattern. Expert Syst. Appl. 182: 115175 (2021) - [j326]Can Haktan Karadal, Muhammed Cagri Kaya, Türker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques. Expert Syst. Appl. 185: 115659 (2021) - [j325]Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U. Rajendra Acharya:
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. 115: 279-294 (2021) - [j324]Jahmunah Vicnesh, K. Vidya Sudarshan, Shu Lih Oh, Raj Gururajan, Rashmi Gururajan, Xujuan Zhou, Xiaohui Tao, Oliver Faust, Edward J. Ciaccio, Kwan Hoong Ng, U. Rajendra Acharya:
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. Int. J. Imaging Syst. Technol. 31(2): 455-471 (2021) - [j323]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j322]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) - [j321]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) - [j320]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) - [j319]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi:
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j318]The-Hanh Pham, U. Raghavendra, Joel Koh En Wei, Anjan Gudigar, Wai-Yee Chan, Marlina Tanty Ramli, Kartini Rahmat, Farhana Fadzli, Kwan Hoong Ng, Ooi Chui Ping, Edward J. Ciaccio, Hamido Fujita, U. Rajendra Acharya:
Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images. J. Ambient Intell. Humaniz. Comput. 12(2): 2121-2129 (2021) - [j317]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) - [j316]The-Hanh Pham, Subbhuraam Vinitha Sree, John Mapes, Sumeet Dua, Shu Lih Oh, Joel E. W. Koh, Edward J. Ciaccio, U. Rajendra Acharya:
A novel machine learning framework for automated detection of arrhythmias in ECG segments. J. Ambient Intell. Humaniz. Comput. 12(11): 10145-10162 (2021) - [j315]Türker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques. Knowl. Based Syst. 211: 106547 (2021) - [j314]Oliver Faust, Ragab Barika, Alex Shenfield, Edward J. Ciaccio, U. Rajendra Acharya:
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals. Knowl. Based Syst. 212: 106591 (2021) - [j313]Manish Sharma, Virendra Patel, U. Rajendra Acharya:
Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals. Knowl. Based Syst. 224: 107078 (2021) - [j312]Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [j311]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) - [j310]Ali Abbasian Ardakani, Robert M. Kwee, Mohammad Mirza-Aghazadeh-Attari, Horacio Matías Castro, Taha Yusuf Kuzan, Kübra Murzoglu Altintoprak, Giulia Besutti, Filippo Monelli, Fariborz Faeghi, U. Rajendra Acharya, Afshin Mohammadi:
A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study. Pattern Recognit. Lett. 152: 42-49 (2021) - [j309]Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi:
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors 21(1): 254 (2021) - [j308]Hui Wen Loh, Wanrong Hong, Ooi Chui Ping, Subrata Chakraborty, Prabal Datta Barua, Ravinesh C. Deo, Jeffrey Soar, Elizabeth Emma Palmer, U. Rajendra Acharya:
Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). Sensors 21(21): 7034 (2021) - [j307]Anjan Gudigar, U. Raghavendra, Sneha Nayak, Ooi Chui Ping, Wai-Yee Chan, Mokshagna Rohit Gangavarapu, Chinmay Dharmik, Jyothi Samanth, Nahrizul Adib Kadri, Khairunnisa Hasikin, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya:
Role of Artificial Intelligence in COVID-19 Detection. Sensors 21(23): 8045 (2021) - [j306]Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Yashas Chakole, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Elizabeth Emma Palmer, Kang Hao Cheong, Wai-Yee Chan, Edward J. Ciaccio, U. Rajendra Acharya:
A Review on Computer Aided Diagnosis of Acute Brain Stroke. Sensors 21(24): 8507 (2021) - [j305]Michal Wierzbinski, Pawel Plawiak, Mohamed Hammad, U. Rajendra Acharya:
Development of accurate classification of heavenly bodies using novel machine learning techniques. Soft Comput. 25(10): 7213-7228 (2021) - [j304]Smith K. Khare, Varun Bajaj, U. Rajendra Acharya:
SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [i15]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i14]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i13]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i12]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - [i11]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR abs/2108.10709 (2021) - [i10]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR abs/2109.04364 (2021) - 2020
- [j303]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) - [j302]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) - [j301]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) - [j300]Samit Kumar Ghosh, R. N. Ponnalagu, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. Comput. Biol. Medicine 118: 103632 (2020) - [j299]Shivani Dhok, Varad Pimpalkhute, Ambarish Chandurkar, Ankit A. Bhurane, Manish Sharma, U. Rajendra Acharya:
Automated phase classification in cyclic alternating patterns in sleep stages using Wigner-Ville Distribution based features. Comput. Biol. Medicine 119: 103691 (2020) - [j298]Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya:
A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine 120: 103704 (2020) - [j297]Fatma Murat, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Yakup Demir, U. Rajendra Acharya:
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review. Comput. Biol. Medicine 120: 103726 (2020) - [j296]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) - [j295]R. K. Tripathy, Pranjali Gajbhiye, U. Rajendra Acharya:
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis. Comput. Biol. Medicine 120: 103769 (2020) - [j294]Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya:
Automated detection of COVID-19 cases using deep neural networks with X-ray images. Comput. Biol. Medicine 121: 103792 (2020) - [j293]Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi:
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. Comput. Biol. Medicine 121: 103795 (2020) - [j292]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) - [j291]Rohan Panda, Sahil Jain, R. K. Tripathy, U. Rajendra Acharya:
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. Comput. Biol. Medicine 124: 103939 (2020) - [j290]Xiaoxi Kang, Dini Oktarina Dwi Handayani, Pei Pei Chong, U. Rajendra Acharya:
Profiling of pornography addiction among children using EEG signals: A systematic literature review. Comput. Biol. Medicine 125: 103970 (2020) - [j289]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) - [j288]Christopher Kok, V. Jahmunah, Shu Lih Oh, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, Filippo Molinari, U. Rajendra Acharya:
Automated prediction of sepsis using temporal convolutional network. Comput. Biol. Medicine 127: 103957 (2020) - [j287]Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks. Comput. Biol. Medicine 127: 104057 (2020) - [j286]Anjan Gudigar, U. Raghavendra, Ajay Hegde, M. Kalyani, Edward J. Ciaccio, U. Rajendra Acharya:
Brain pathology identification using computer aided diagnostic tool: A systematic review. Comput. Methods Programs Biomed. 187: 105205 (2020) - [j285]Lakshmi Priyankka Alagappan, Joel Koh En Wei, V. Jahmunah, Adhithi Ramesh, Muna Bhende, Rajiv Raman, U. Rajendra Acharya, Sinnakaruppan Mathavan:
Development of an automated system for the detection of genotype in polypoidal choroidal vasculopathy using retinal image phenotype. Comput. Methods Programs Biomed. 192: 105460 (2020) - [j284]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) - [j283]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) - [j282]Subbhuraam Vinitha Sree, Rob Royea, Kevin J. Buckman, Matt Benardis, Jim Holmes, Ronald L. Fletcher, E. Y. K. Ng, U. Rajendra Acharya, Joshua D. I. Ellenhorn:
An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device. Comput. Methods Programs Biomed. 197: 105758 (2020) - [j281]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) - [j280]Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, U. Rajendra Acharya:
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. Entropy 22(10): 1141 (2020) - [j279]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Jahmunah Vicnesh, Sock Keow Tan, Jeannie Hsiu Ding Wong, Raja Rizal Azman Raja Aman, Kwan Hoong Ng:
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. Int. J. Imaging Syst. Technol. 30(2): 285-297 (2020) - [j278]Pawel Plawiak, Moloud Abdar, Joanna Plawiak, Vladimir Makarenkov, U. Rajendra Acharya:
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Inf. Sci. 516: 401-418 (2020) - [j277]Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Cifci, Shahla Nemati, U. Rajendra Acharya:
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowl. Based Syst. 198: 105949 (2020) - [j276]Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya:
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32(15): 10927-10933 (2020) - [j275]Pawel Plawiak, U. Rajendra Acharya:
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals. Neural Comput. Appl. 32(15): 11137-11161 (2020) - [j274]U. Rajendra Acharya, Kristen M. Meiburger, Joel Koh En Wei, Yuki Hagiwara, Shu Lih Oh, Sook Sam Leong, Edward J. Ciaccio, Jeannie Hsiu Ding Wong, Mohammad Nazri Md Shah, Filippo Molinari, Kwan Hoong Ng:
Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images. Neural Comput. Appl. 32(15): 11163-11172 (2020) - [j273]Özal Yildirim, Ulas Baran Baloglu, U. Rajendra Acharya:
A deep convolutional neural network model for automated identification of abnormal EEG signals. Neural Comput. Appl. 32(20): 15857-15868 (2020) - [j272]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) - [j271]Hatwib Mugasa, Sumeet Dua, Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Chakri Madla, Pailin Kongmebhol, Kwan Hoong Ng, U. Rajendra Acharya:
An adaptive feature extraction model for classification of thyroid lesions in ultrasound images. Pattern Recognit. Lett. 131: 463-473 (2020) - [j270]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) - [j269]Oliver Faust, Murtadha Kareem, Alex Shenfield, Ali Ali, U. Rajendra Acharya:
Validating the robustness of an internet of things based atrial fibrillation detection system. Pattern Recognit. Lett. 133: 55-61 (2020) - [j268]Ali Abbasian Ardakani, Ahmadreza Afshar, Shweta Bhatt, Nathalie J. Bureau, Aylin Tahmasebi, U. Rajendra Acharya, Afshin Mohammadi:
Diagnosis of carpal tunnel syndrome: A comparative study of shear wave elastography, morphometry and artificial intelligence techniques. Pattern Recognit. Lett. 133: 77-85 (2020) - [j267]Manish Sharma, Sohamkumar Patel, U. Rajendra Acharya:
Automated detection of abnormal EEG signals using localized wavelet filter banks. Pattern Recognit. Lett. 133: 188-194 (2020) - [j266]Yusuf Çelik, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya:
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images. Pattern Recognit. Lett. 133: 232-239 (2020) - [j265]Joel Koh En Wei, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Edward J. Ciaccio, U. Rajendra Acharya, Chai Hong Yeong, Mohd Kamil Bin Mohd Fabell, Kartini Rahmat, Anushya Vijayananthan, Norlisah Ramli:
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition. Pattern Recognit. Lett. 135: 106-113 (2020) - [j264]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [j263]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) - [i9]Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks. CoRR abs/2002.05262 (2020) - [i8]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i7]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i6]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i5]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i4]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)
2010 – 2019
- 2019
- [j262]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Arunkumar N., Mee Hoong See, Nur Aishah Mohd Taib, Anushya Vijayananthan, Kartini Rahmat, Farhana Fadzli, Sook Sam Leong,