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ORCIDU. Rajendra Acharya
Udyavara Rajendra Acharya
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2020 – today
- 2025
[j563]Jahmunah Vicnesh, Massimo Salvi
, Yuki Hagiwara, Hah Yan Yee, Hasan Saeed Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya:
Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024). IEEE Access 13: 5949-5973 (2025)- [j562]Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya:
Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications. IEEE Access 13: 25026-25044 (2025) - [j561]Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya:
A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification. IEEE Access 13: 46638-46658 (2025) - [j560]Sreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Abdul Hafeez-Baig, Ru San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya:
Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. IEEE Access 13: 69500-69512 (2025) - [j559]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. Artif. Intell. Rev. 58(6): 188 (2025) - [j558]Ilknur Tuncer, Abdul Hafeez-Baig, Prabal Datta Barua, Rena Hajiyeva, Massimo Salvi, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection. Biomed. Signal Process. Control. 104: 107538 (2025) - [j557]Yintong Liu, U. Rajendra Acharya, Jen Hong Tan:
Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation. Comput. Methods Programs Biomed. 260: 108571 (2025) - [j556]Orhan Atila, Muhammed Halil Akpinar, Abdulkadir Sengür, U. Rajendra Acharya:
A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals. Commun. Nonlinear Sci. Numer. Simul. 145: 108752 (2025) - [j555]Siuly Siuly, Md. Nurul Ahad Tawhid, Yan Li, U. Rajendra Acharya, Muhammad Tariq Sadiq, Hua Wang:
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data. Cogn. Comput. 17(2): 90 (2025) - [j554]Abdullah Ayub Khan, Jing Yang, Asif Ali Laghari, Abdullah M. Baqasah, Roobaea Alroobaea, Chin Soon Ku, Roohallah Alizadehsani, U. Rajendra Acharya, Lip Yee Por:
BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things. Eng. Appl. Artif. Intell. 141: 109838 (2025) - [j553]Jing Yang, Nika Anoosha Boroojeni, Mehran Kazemi Chahardeh, Lip Yee Por, Roohallah Alizadehsani, U. Rajendra Acharya:
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation. Eng. Appl. Artif. Intell. 147: 110285 (2025) - [j552]Sreeni Chadalavada, Oliver Faust, Massimo Salvi, Silvia Seoni, Nawin Raj, U. Raghavendra, Anjan Gudigar, Prabal Datta Barua, Filippo Molinari, Udyavara Rajendra Acharya:
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review. Environ. Model. Softw. 185: 106312 (2025) - [j551]Massimo Salvi, Silvia Seoni, Andrea Campagner, Arkadiusz Gertych, U. Rajendra Acharya, Filippo Molinari, Federico Cabitza:
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. Int. J. Medical Informatics 197: 105846 (2025) - [j550]Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, Silvia Seoni, Massimo Salvi, Abdul Hafeez-Baig, Sadaf Rashid, Ru San Tan, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023). Inf. Fusion 114: 102673 (2025) - [j549]Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, Ru San Tan, U. Rajendra Acharya:
Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014-2024). Inf. Fusion 118: 102982 (2025) - [j548]Mehmet Ali Gelen, Turker Tuncer, Mehmet Baygin, Sengul Dogan, Prabal Datta Barua, Ru San Tan, U. Rajendra Acharya:
TQCPat: Tree Quantum Circuit Pattern-based Feature Engineering Model for Automated Arrhythmia Detection using PPG Signals. J. Medical Syst. 49(1): 38 (2025) - [j547]Mehmet Aydin, Prabal Datta Barua, Sreenivasulu Chadalavada, Sengul Dogan, Turker Tuncer, Subrata Chakraborty, Udyavara Rajendra Acharya:
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models. Multim. Tools Appl. 84(4): 1821-1843 (2025) - [j546]Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Massimo Salvi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review. WIREs Data. Mining. Knowl. Discov. 15(2) (2025) - 2024
- [j545]Yagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya, Hasan Saeed Mir:
Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation. IEEE Access 12: 840-867 (2024) - [j544]Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, Mahesh Anil Inamdar, Mukund A. Prabhu, U. Rajendra Acharya:
Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images. IEEE Access 12: 3659-3671 (2024) - [j543]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: 50949-50965 (2024) - [j542]Tanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya:
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. IEEE Access 12: 73970-73979 (2024) - [j541]Dilek Ozkan, Oguzhan Katar, Murat Ak, Mugahed A. Al-antari, Nehir Yasan-Ak, Özal Yildirim, Hasan S. Mir, Ru San Tan, U. Rajendra Acharya:
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. IEEE Access 12: 127879-127902 (2024) - [j540]Anjan Gudigar, U. Raghavendra, M. Maithri, Jyothi Samanth, Mahesh Anil Inamdar, Vidhya V., Jahmunah Vicnesh, Mukund A. Prabhu, Ru San Tan, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya:
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review. IEEE Access 12: 138399-138428 (2024) - [j539]Saad Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, Ping Yu, U. Rajendra Acharya:
Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023). IEEE Access 12: 176630-176685 (2024) - [j538]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). Ann. Oper. Res. 339(3): 1077-1118 (2024) - [j537]Nishant Sharma, Manish Sharma, Hardik Telangore, U. Rajendra Acharya:
Automated accurate insomnia detection system using wavelet scattering method using ECG signals. Appl. Intell. 54(4): 3464-3481 (2024) - [j536]Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. 54(11-12): 35-79 (2024) - [j535]Mariam Zomorodi, Ismail Ghodsollahee, Jennifer H. Martin, Nicholas J. Talley, Vahid Salari, Pawel Plawiak, Kazem Rahimi, U. Rajendra Acharya:
RECOMED: A comprehensive pharmaceutical recommendation system. Artif. Intell. Medicine 157: 102981 (2024) - [j534]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j533]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya:
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. 151: 111141 (2024) - [j532]Turker Tuncer, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, U. Rajendra Acharya:
A lightweight deep convolutional neural network model for skin cancer image classification. Appl. Soft Comput. 162: 111794 (2024) - [j531]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya:
Transfer learning with spinally shared layers. Appl. Soft Comput. 163: 111908 (2024) - [j530]Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari:
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. Appl. Soft Comput. 165: 112081 (2024) - [j529]Sengul Dogan, Turker Tuncer, Prabal Datta Barua, U. Rajendra Acharya:
Automated EEG-based language detection using directed quantum pattern technique. Appl. Soft Comput. 167: 112301 (2024) - [j528]Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. 96: 106594 (2024) - [j527]Sujan Ghimire, Shahab A. Abdulla, Lionel P. Joseph, Salvin Prasad, Angela Murphy, Aruna Devi, Prabal Datta Barua, Ravinesh C. Deo, Udyavara Rajendra Acharya, Zaher Mundher Yaseen:
Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course. Comput. Educ. Artif. Intell. 7: 100331 (2024) - [j526]Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, M. Maithri, Mahesh Anil Inamdar, Mukund A. Prabhu, Ajay Hegde, Massimo Salvi, Chai Hong Yeong, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). Comput. Biol. Medicine 172: 108207 (2024) - [j525]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: 108280 (2024) - [j524]Maryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, Oliver Faust, Prabal Datta Barua, Chegeni Hossein, U. Rajendra Acharya:
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space. Comput. Methods Programs Biomed. 243: 107880 (2024) - [j523]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: 107932 (2024) - [j522]Xiaopeng Ji, Yan Li, Peng Wen, Prabal Datta Barua, U. Rajendra Acharya:
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model. Comput. Methods Programs Biomed. 244: 107992 (2024) - [j521]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: 108076 (2024) - [j520]Silvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi:
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. Comput. Methods Programs Biomed. 250: 108200 (2024) - [j519]Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023). Comput. Methods Programs Biomed. 254: 108253 (2024) - [j518]Hardik Telangore, Victor Azad, Manish Sharma, Ankit A. Bhurane, Ru San Tan, U. Rajendra Acharya:
Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert-Huang and wavelet transforms with explainable vision transformer and CNN models. Comput. Methods Programs Biomed. 257: 108455 (2024) - [j517]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): 107184 (2024) - [j516]Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya:
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132: 107918 (2024) - [j515]Sengul Dogan, Prabal Datta Barua, Turker Tuncer, U. Rajendra Acharya:
An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals. Eng. Appl. Artif. Intell. 133: 108306 (2024) - [j514]Dipankar Das, Deepak Ranjan Nayak, Sulatha V. Bhandary, U. Rajendra Acharya:
CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images. Eng. Appl. Artif. Intell. 133: 108454 (2024) - [j513]Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features. Expert Syst. J. Knowl. Eng. 41(5) (2024) - [j512]Sinan Tatli, Gulay Macin, Irem Tasci, Burak Tasci, Prabal Datta Barua, Mehmet Baygin, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, U. Rajendra Acharya:
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system. Expert Syst. Appl. 236: 121314 (2024) - [j511]Suat Gokhan Ozkaya, Mehmet Baygin, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Subrata Chakraborty, U. Rajendra Acharya:
An automated earthquake classification model based on a new butterfly pattern using seismic signals. Expert Syst. Appl. 238(Part E): 122079 (2024) - [j510]Jiale Xiong, Jing Yang, Lei Yan, Muhammad Awais, Abdullah Ayub Khan, Roohallah Alizadehsani, U. Rajendra Acharya:
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. Expert Syst. Appl. 238(Part E): 122088 (2024) - [j509]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: 122388 (2024) - [j508]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: 122781 (2024) - [j507]Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira:
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. Expert Syst. Appl. 255: 124665 (2024) - [j506]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j505]Manish Sharma, Harsh Lodhi, Rishita Yadav, U. Rajendra Acharya:
Sleep disorder identification using wavelet scattering on ECG signals. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j504]Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya:
A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. Int. J. Imaging Syst. Technol. 34(4) (2024) - [j503]Smith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya:
Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. Inf. Fusion 102: 102019 (2024) - [j502]Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Multi-modality approaches for medical support systems: A systematic review of the last decade. Inf. Fusion 103: 102134 (2024) - [j501]Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui:
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. Inf. Fusion 108: 102412 (2024) - [j500]Pradipta Sasmal, Vanshali Sharma, Allam Jaya Prakash, Manas Kamal Bhuyan, Kiran Kumar Patro, Nagwan M. Abdel Samee, Hayam Alamro, Yuji Iwahori, Ryszard Tadeusiewicz, U. Rajendra Acharya, Pawel Plawiak:
Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images. Inf. Sci. 658: 120033 (2024) - [j499]Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi:
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. Inf. Sci. 665: 120383 (2024) - [j498]Anurag Nishad, Ram Bilas Pachori, U. Rajendra Acharya:
Application of TQWT based filter-bank for sleep apnea screening using ECG signals. J. Ambient Intell. Humaniz. Comput. 15(1): 893-904 (2024) - [j497]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: 112150 (2024) - [j496]Prabal Datta Barua, Turker Tuncer, Mehmet Baygin, Sengul Dogan, U. Rajendra Acharya:
N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals. Knowl. Based Syst. 304: 112510 (2024) - [j495]Turker Tuncer, Sengul Dogan, Mehmet Baygin, Irem Tasci, Bulent Mungen, Burak Tasci, Prabal Datta Barua, U. Rajendra Acharya:
Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification. Knowl. Based Syst. 305: 112555 (2024) - [j494]Mehmet Ali Kobat, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Tarik Kivrak, Yusuf Akin, Giliyar 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): 35957-35977 (2024) - [j493]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): 39823-39840 (2024) - [j492]Burak Tasci, Gulay Tasci, Hakan Ayyildiz, Aditya P. Kamath, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, Subrata Chakraborty, U. Rajendra Acharya:
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern. Multim. Tools Appl. 83(14): 42735-42763 (2024) - [j491]Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Chui Ping Ooi, U. Rajendra Acharya:
Novel automated detection of sports activities using shadow videos. Multim. Tools Appl. 83(15): 44933-44954 (2024) - [j490]Rusul Qasim Abed, Melih Dikmen, Emrah Aydemir, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Edward J. Ciaccio, U. Rajendra Acharya:
Automated reading level classification model based on improved orbital pattern. Multim. Tools Appl. 83(17): 52819-52840 (2024) - [j489]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): 67953-67996 (2024) - [j488]Fahrettin Burak Demir, Mehmet Baygin, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Chui Ping Ooi, Edward J. Ciaccio, U. Rajendra Acharya:
MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201. Multim. Tools Appl. 83(30): 75061-75083 (2024) - [j487]Prabal Datta Barua, Tugce Keles, Mutlu Kuluozturk, Mehmet Ali Kobat, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya:
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds. Neural Comput. Appl. 36(27): 16857-16871 (2024) - [j486]Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). WIREs Data. Mining. Knowl. Discov. 14(3) (2024) - [j485]Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Ru San Tan, Roohallah Alizadehsani, U. Rajendra Acharya:
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. WIREs Data. Mining. Knowl. Discov. 14(6) (2024) - [i41]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR abs/2402.09975 (2024) - [i40]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 abs/2402.18600 (2024) - [i39]Shishir Maheshwari, Kandala N. V. P. S. Rajesh, Vivek Kanhangad, U. Rajendra Acharya, T. Sunil Kumar:
Novel entropy difference-based EEG channel selection technique for automated detection of ADHD. CoRR abs/2404.09493 (2024) - [i38]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Haoran Xie, Xujuan Zhou, Yuefeng Li, U. Rajendra Acharya:
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks. CoRR abs/2404.16913 (2024) - [i37]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, U. Rajendra Acharya, Raj Gururajan, Haoran Xie, Xujuan Zhou:
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing. CoRR abs/2405.05795 (2024) - [i36]Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru San Tan, U. Rajendra Acharya, Asim Bhatti:
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. CoRR abs/2409.17516 (2024) - [i35]Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya:
Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities. CoRR abs/2412.16847 (2024) - 2023
- [j484]Neethu Mohan, S. Sachin Kumar, K. P. Soman, V. G. Sujadevi, Prabaharan Poornachandran, U. Rajendra Acharya:
A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems. IEEE Access 11: 39228-39242 (2023) - [j483]Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi Katta S., U. Rajendra Acharya:
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals. IEEE Access 11: 50946-50961 (2023) - [j482]S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Jeffrey Soar, U. Rajendra Acharya:
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). IEEE Access 11: 71905-71924 (2023) - [j481]Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, Smith K. Khare, Chui Ping Ooi, U. Rajendra Acharya:
Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022). IEEE Access 11: 74736-74758 (2023) - [j480]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) - [j479]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) - [j478]Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Sarvesh Bhandary, Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya:
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11: 108982-108994 (2023) - [j477]Aditya Wadichar, Shruti Murarka, Dhruvi Shah, Ankit A. Bhurane, Manish Sharma, Hasan Saeed Mir, U. Rajendra Acharya:
A Hierarchical Approach for the Diagnosis of Sleep Disorders Using Convolutional Recurrent Neural Network. IEEE Access 11: 125244-125255 (2023) - [j476]Vidhya V., U. Raghavendra, Anjan Gudigar, Sudipta Basak, Sankalp Mallappa, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Massimo Salvi, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya:
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. IEEE Access 11: 141309-141328 (2023) - [j475]Tarik Kivrak, Jagadish Nayak, Mehmet Ali Gelen, Prabal Datta Barua, Mehmet Baygin, Hilal Erken Pamukcu, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images. IEEE Access 11: 142711-142724 (2023) - [j474]Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, Hasan Saeed Mir, Fang Chen, Jianlong Zhou, U. Rajendra Acharya:
Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks. IEEE Access 11: 143016-143036 (2023) - [j473]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) - [j472]Veena Mayya, S. Sowmya Kamath, Uma Kulkarni, Divyalakshmi Kaiyoor Surya, U. Rajendra Acharya:
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images. Appl. Intell. 53(2): 1548-1566 (2023) - [j471]Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation. Appl. Intell. 53(12): 15407-15423 (2023) - [j470]Manish Sharma, Paresh Makwana, Rajesh Singh Chad, U. Rajendra Acharya:
A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank. Appl. Intell. 53(15): 18681-18699 (2023) - [j469]Joshua Sheehy, Hamish Rutledge, U. Rajendra Acharya, Hui Wen Loh, Raj Gururajan, Xiaohui Tao, Xujuan Zhou, Yuefeng Li, Tiana Gurney, Srinivas Kondalsamy-Chennakesavan:
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022). Artif. Intell. Medicine 139: 102536 (2023) - [j468]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya, Yuefeng Li:
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment. Brain Informatics 10(1): 10 (2023) - [j467]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) - [j466]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) - [j465]Süleyman Yaman, Elif Isilay Ünlü, Hasan Güler, Abdulkadir Sengür, U. Rajendra Acharya:
Application of novel DIRF feature selection algorithm for automated brain disease detection. Biomed. Signal Process. Control. 85: 105006 (2023) - [j464]Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Prabal Datta Barua, U. Rajendra Acharya:
NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals. Biomed. Signal Process. Control. 86(Part C): 105272 (2023) - [j463]Ali Abbasian Ardakani, Afshin Mohammadi, Mohammad Mirza-Aghazadeh-Attari, U. Rajendra Acharya:
An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studies. Comput. Biol. Medicine 152: 106438 (2023) - [j462]V. Jahmunah, Sylvia Chen, Shu Lih Oh, U. Rajendra Acharya, Balram Chowbay:
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network. Comput. Biol. Medicine 153: 106548 (2023) - [j461]Smith K. Khare, U. Rajendra Acharya:
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Comput. Biol. Medicine 155: 106676 (2023) - [j460]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) - [j459]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 160: 106998 (2023) - [j458]U. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya:
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163: 107063 (2023) - [j457]Manish Sharma, Sarv Verma, Divyansh Anand, Vikram M. Gadre, U. Rajendra Acharya:
CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals. Comput. Biol. Medicine 164: 107259 (2023) - [j456]Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya:
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. Comput. Biol. Medicine 164: 107312 (2023) - [j455]Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023). Comput. Biol. Medicine 165: 107441 (2023) - [j454]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Sara Bagherzadeh, Ahmad Shalbaf, David López-García, Juan Manuel Górriz, U. Rajendra Acharya:
Emotion recognition in EEG signals using deep learning methods: A review. Comput. Biol. Medicine 165: 107450 (2023) - [j453]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) - [j452]Oliver Faust, Simona De Michele, Joel E. W. Koh, V. Jahmunah, Shu Lih Oh, Aditya P. Kamath, Prabal Datta Barua, Edward J. Ciaccio, Suzanne K. Lewis, Peter H. R. Green, Govind Bhagat, U. Rajendra Acharya:
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images. Comput. Methods Programs Biomed. 230: 107320 (2023) - [j451]Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
Skin lesion segmentation using two-phase cross-domain transfer learning framework. Comput. Methods Programs Biomed. 231: 107408 (2023) - [j450]Manish Sharma, Harsh Lodhi, Rishita Yadav, Heather Elphick, U. Rajendra Acharya:
Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges. Comput. Methods Programs Biomed. 235: 107471 (2023) - [j449]Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U. Rajendra Acharya:
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). Comput. Methods Programs Biomed. 241: 107746 (2023) - [j448]Hui Wen Loh, Chui Ping Ooi, Shu Lih Oh, Prabal Datta Barua, Yi Ren Tan, Filippo Molinari, Sonja March, U. Rajendra Acharya, Daniel Shuen Sheng Fung:
Deep neural network technique for automated detection of ADHD and CD using ECG signal. Comput. Methods Programs Biomed. 241: 107775 (2023) - [j447]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, Yuefeng Li, U. Rajendra Acharya:
Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability. Comput. Methods Programs Biomed. 242: 107771 (2023) - [j446]T. Sunil Kumar, Kandala N. V. P. S. Rajesh, Shishir Maheswari, Vivek Kanhangad, U. Rajendra Acharya:
Automated Schizophrenia detection using local descriptors with EEG signals. Eng. Appl. Artif. Intell. 117(Part): 105602 (2023) - [j445]Tugce Keles, Arif Metehan Yildiz, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Caner Feyzi Demir, Edward J. Ciaccio, U. Rajendra Acharya:
A new one-dimensional testosterone pattern-based EEG sentence classification method. Eng. Appl. Artif. Intell. 119: 105722 (2023) - [j444]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) - [j443]Amanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh, P. V. Anamika, U. Rajendra Acharya, Sidharth Kamath, Anil K. Bhat:
Automated detection of scaphoid fractures using deep neural networks in radiographs. Eng. Appl. Artif. Intell. 122: 106165 (2023) - [j442]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: 106887 (2023) - [j441]Manish Sharma, Divyansh Anand, Sarv Verma, U. Rajendra Acharya:
Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals. Eng. Appl. Artif. Intell. 126: 106903 (2023) - [j440]U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya:
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j439]Manish Sharma, Sohamkumar Patel, U. Rajendra Acharya:
Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j438]Sakir Engin Sahin, Gokhan Gulhan, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Oliver Faust, U. Rajendra Acharya:
PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals. Expert Syst. J. Knowl. Eng. 40(8) (2023) - [j437]Arif Metehan Yildiz, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Chui Ping Ooi, Hamido Fujita, U. Rajendra Acharya:
A novel tree pattern-based violence detection model using audio signals. Expert Syst. Appl. 224: 120031 (2023) - [j436]Erhan Akbal, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques. Expert Syst. Appl. 225: 120089 (2023) - [j435]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) - [j434]Yagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya:
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals. Health Inf. Sci. Syst. 11(1): 22 (2023) - [j433]Ali Abbasian Ardakani, Afshin Mohammadi, Fariborz Faeghi, U. Rajendra Acharya:
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis. Int. J. Imaging Syst. Technol. 33(2): 445-464 (2023) - [j432]Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya:
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. Int. J. Imaging Syst. Technol. 33(2): 483-494 (2023) - [j431]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) - [j430]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j429]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz:
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93: 85-117 (2023) - [j428]Irem Tasci, Burak Tasci, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Hamido Fujita, U. Rajendra Acharya:
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals. Inf. Fusion 96: 252-268 (2023) - [j427]Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi:
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97: 101813 (2023) - [j426]Smith K. Khare, Sonja March, Prabal Datta Barua, Vikram M. Gadre, U. Rajendra Acharya:
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. Inf. Fusion 99: 101898 (2023) - [j425]Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak:
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. 640: 119005 (2023) - [j424]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) - [j423]Taha Müezzinoglu, Nursena Baygin, Ilknur Tuncer, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Kang Hao Cheong, U. Rajendra Acharya:
PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. J. Digit. Imaging 36(3): 973-987 (2023) - [j422]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) - [j421]Ela Kaplan, Wai-Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI. J. Digit. Imaging 36(6): 2441-2460 (2023) - [j420]Chao Wang, Songjie Li, Miao Shi, Jie Zhao, Tao Wen, U. Rajendra Acharya, Nenggang Xie, Kang Hao Cheong:
Multi-objective squirrel search algorithm for EEG feature selection. J. Comput. Sci. 73: 102140 (2023) - [j419]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) - [j418]Smith K. Khare, U. Rajendra Acharya:
Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowl. Based Syst. 278: 110858 (2023) - [j417]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) - [j416]Prabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Erten, Feyzi Kaysi, Turker Tuncer, Hamido Fujita, Elizabeth Emma Palmer, U. Rajendra Acharya:
Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels. Neural Comput. Appl. 35(8): 6065-6077 (2023) - [j415]M. Murugappan, Ali K. Bourisly, N. B. Prakash, M. G. Sumithra, U. Rajendra Acharya:
Automated semantic lung segmentation in chest CT images using deep neural network. Neural Comput. Appl. 35(21): 15343-15364 (2023) - [j414]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) - [j413]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) - [j412]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j411]Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya:
Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models. Sensors 23(14): 6585 (2023) - [j410]Orhan Atila, Erkan Deniz, Ali Ari, Abdulkadir Sengür, Subrata Chakraborty, Prabal Datta Barua, U. Rajendra Acharya:
LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals. Sensors 23(16): 7032 (2023) - [j409]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): 7946 (2023) - [j408]Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Prabal Datta Barua, Turker Tuncer, Kang Hao Cheong, U. Rajendra Acharya:
Automated facial expression recognition using exemplar hybrid deep feature generation technique. Soft Comput. 27(13): 8721-8737 (2023) - [j407]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j406]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya:
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [c25]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [c24]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 - [i34]Mariam Zomorodi, Ismail Ghodsollahee, Pawel Plawiak, U. Rajendra Acharya:
RECOMMED: A Comprehensive Pharmaceutical Recommendation System. CoRR abs/2301.00280 (2023) - [i33]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya:
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. CoRR abs/2301.10009 (2023) - [i32]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i31]Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, U. Rajendra Acharya, Fang Chen, Jianlong Zhou:
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks. CoRR abs/2307.06547 (2023) - [i30]Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya:
A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. CoRR abs/2308.07436 (2023) - [i29]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou:
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. CoRR abs/2309.10576 (2023) - [i28]Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR abs/2309.12202 (2023) - [i27]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) - [i26]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) - [i25]Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui:
Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. CoRR abs/2311.11055 (2023) - [i24]Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR abs/2312.08654 (2023) - 2022
- [j405]Omer Sadak, Ferhat Sadak, Özal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Ooi Chui Ping, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam:
Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. IEEE Access 10: 98633-98648 (2022) - [j404]Siddhaling Urolagin, Jagadish Nayak, U. Rajendra Acharya:
Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment. IEEE Access 10: 132455-132471 (2022) - [j403]Manish Sharma, Divyash Kumbhani, Anuj Yadav, U. Rajendra Acharya:
Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals. Appl. Intell. 52(2): 1325-1337 (2022) - [j402]Hui Wen Loh, Ooi Chui Ping, Shivani Dhok, Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network. Appl. Intell. 52(3): 2903-2917 (2022) - [j401]Turker Tuncer, Sengul Dogan, Mehmet Baygin, U. Rajendra Acharya:
Tetromino pattern based accurate EEG emotion classification model. Artif. Intell. Medicine 123: 102210 (2022) - [j400]Mehmet Baygin, Orhan Yaman, Prabal Datta Barua, Sengül Dogan, Turker Tuncer, U. Rajendra Acharya:
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images. Artif. Intell. Medicine 127: 102274 (2022) - [j399]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. Biomed. Signal Process. Control. 73: 103417 (2022) - [j398]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) - [j397]Manish Sharma, Jay Darji, Madhav Thakrar, U. Rajendra Acharya:
Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals. Comput. Biol. Medicine 143: 105224 (2022) - [j396]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j395]Berna Ari, Nebras Sobahi, Ömer Faruk Alçin, Abdulkadir Sengür, U. Rajendra Acharya:
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. Comput. Biol. Medicine 143: 105311 (2022) - [j394]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) - [j393]Manish Sharma, Divyash Kumbhani, Jainendra Tiwari, T. Sudheer Kumar, U. Rajendra Acharya:
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals. Comput. Biol. Medicine 144: 105364 (2022) - [j392]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) - [j391]Hui Wen Loh, Ooi Chui Ping, Prabal Datta Barua, Elizabeth Emma Palmer, Filippo Molinari, U. Rajendra Acharya:
Automated detection of ADHD: Current trends and future perspective. Comput. Biol. Medicine 146: 105525 (2022) - [j390]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) - [j389]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j388]Shruti Murarka, Aditya Wadichar, Ankit A. Bhurane, Manish Sharma, U. Rajendra Acharya:
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network. Comput. Biol. Medicine 146: 105594 (2022) - [j387]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) - [j386]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j385]Shuting Xu, Oliver Faust, Silvia Seoni, Subrata Chakraborty, Prabal Datta Barua, Hui Wen Loh, Heather Elphick, Filippo Molinari, U. Rajendra Acharya:
A review of automated sleep disorder detection. Comput. Biol. Medicine 150: 106100 (2022) - [j384]Meghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya:
Explainable multi-module semantic guided attention based network for medical image segmentation. Comput. Biol. Medicine 151(Part): 106231 (2022) - [j383]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) - [j382]Ali Abbasian Ardakani, Nathalie J. Bureau, Edward J. Ciaccio, U. Rajendra Acharya:
Interpretation of radiomics features-A pictorial review. Comput. Methods Programs Biomed. 215: 106609 (2022) - [j381]M. Maithri, U. Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya:
Automated emotion recognition: Current trends and future perspectives. Comput. Methods Programs Biomed. 215: 106646 (2022) - [j380]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) - [j379]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) - [j378]Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022). Comput. Methods Programs Biomed. 226: 107161 (2022) - [j377]M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai-Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya:
Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images. Comput. 10(1): 8 (2022) - [j376]Hui Wen Loh, Ooi Chui Ping, Emrah Aydemir, Turker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals. Expert Syst. J. Knowl. Eng. 39(3) (2022) - [j375]The-Hanh Pham, Oliver Faust, Joel Koh En Wei, Edward J. Ciaccio, Prabal Datta Barua, Norlia Omar, Wei Lin Ng, Nazimah Ab Mumin, Kartini Rahmat, U. Rajendra Acharya:
Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j374]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) - [j373]Ankit A. Bhurane, Shivani Dhok, Manish Sharma, Yuvaraj Rajamanickam, Murugappan Murugappan, U. Rajendra Acharya:
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j372]Erhan Akbal, Prabal Datta Barua, Sengül Dogan, Turker Tuncer, U. Rajendra Acharya:
DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals. Expert Syst. Appl. 193: 116447 (2022) - [j371]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, Udyavara Rajendra Acharya:
A novel genetic algorithm based system for the scheduling of medical treatments. Expert Syst. Appl. 195: 116464 (2022) - [j370]Sengul Dogan, Prabal Datta Barua, Hüseyin Kutlu, Mehmet Baygin, Hamido Fujita, Turker Tuncer, U. Rajendra Acharya:
Automated accurate fire detection system using ensemble pretrained residual network. Expert Syst. Appl. 203: 117407 (2022) - [j369]El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Hui Wen Loh, U. Rajendra Acharya:
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images. Expert Syst. Appl. 204: 117410 (2022) - [j368]Erkan Deniz, Nebras Sobahi, Naaman Omar, Abdulkadir Sengür, U. Rajendra Acharya:
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset. Health Inf. Sci. Syst. 10(1): 31 (2022) - [j367]U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya:
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. Int. J. Imaging Syst. Technol. 32(2): 501-516 (2022) - [j366]Vidhya V., U. Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Girish Menon R, Ooi Chui Ping, Edward J. Ciaccio, U. Rajendra Acharya:
Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques. Informatics 9(1): 4 (2022) - [j365]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) - [j364]Musab Coskun, Özal Yildirim, Yakup Demir, U. Rajendra Acharya:
Efficient deep neural network model for classification of grasp types using sEMG signals. J. Ambient Intell. Humaniz. Comput. 13(9): 4437-4450 (2022) - [j363]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) - [j362]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya:
FedStack: Personalized activity monitoring using stacked federated learning. Knowl. Based Syst. 257: 109929 (2022) - [j361]Türker Tuncer, Sengül Dogan, Erhan Akbal, Abdullah Cicekli, U. Rajendra Acharya:
Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques. Neural Comput. Appl. 34(6): 4875-4888 (2022) - [j360]Erhan Akbal, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, U. Rajendra Acharya:
Development of novel automated language classification model using pyramid pattern technique with speech signals. Neural Comput. Appl. 34(23): 21319-21333 (2022) - [j359]Ghazal Bargshady, Xujuan Zhou, Prabal Datta Barua, Raj Gururajan, Yuefeng Li, U. Rajendra Acharya:
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images. Pattern Recognit. Lett. 153: 67-74 (2022) - [j358]Mehmet Baygin, Prabal Datta Barua, Sengül Dogan, Türker Tuncer, Sefa Key, U. Rajendra Acharya, Kang Hao Cheong:
A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal. Sensors 22(5): 2007 (2022) - [j357]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. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - [i23]Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya:
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection. CoRR abs/2201.09563 (2022) - [i22]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) - [i21]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, Juan Manuel Górriz, Amir Hossein Chale-Chale, Ali Khadem, U. Rajendra Acharya:
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression. CoRR abs/2205.15858 (2022) - [i20]Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - [i19]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya:
FedStack: Personalized activity monitoring using stacked federated learning. CoRR abs/2209.13080 (2022) - [i18]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) - [i17]Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - [i16]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR abs/2210.14909 (2022) - 2021
- [j356]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) - [j355]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) - [j354]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) - [j353]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) - [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]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) - [j344]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) - [j343]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) - [j342]Mehmet Baygin, Sengül Dogan, Türker Tuncer, Prabal Datta Barua, Oliver Faust, Arunkumar N., 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) - [j341]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) - [j340]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) - [j339]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) - [j338]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) - [j337]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) - [j336]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) - [j335]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) - [j334]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j333]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) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [j328]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) - [j327]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) - [j326]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) - [j325]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) - [j324]Türker Tuncer, Sengül Dogan, U. Rajendra Acharya:
Automated EEG signal classification using chaotic local binary pattern. Expert Syst. Appl. 182: 115175 (2021) - [j323]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) - [j322]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) - [j321]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) - [j320]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) - [j319]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) - [j318]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) - [j317]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) - [j316]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) - [j315]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) - [j314]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) - [j313]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) - [j312]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) - [j311]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) - [j310]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) - [j309]Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Somayeh Asadi, U. Rajendra Acharya:
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. Knowl. Based Syst. 228: 107242 (2021) - [j308]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) - [j307]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) - [j306]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) - [j305]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) - [j304]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) - [j303]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) - [j302]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) - [j301]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) - [j300]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) - [j299]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini 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 Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (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
- [j298]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) - [j297]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) - [j296]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) - [j295]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) - [j294]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) - [j293]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) - [j292]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) - [j291]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) - [j290]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) - [j289]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) - [j288]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) - [j287]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) - [j286]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) - [j285]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) - [j284]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) - [j283]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) - [j282]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) - [j281]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) - [j280]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) - [j279]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) - [j278]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) - [j277]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) - [j276]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) - [j275]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) - [j274]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) - [j273]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) - [j272]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) - [j271]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) - [j270]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) - [j269]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) - [j268]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) - [j267]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) - [j266]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) - [j265]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) - [j264]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) - [j263]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) - [j262]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) - [j261]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) - [j260]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
- [j259]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, Caroline Judy Westerhout, Ángela Chantre Astaiza, Gustavo Ramírez-González:
A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. IEEE Access 7: 22829-22842 (2019) - [j258]Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, Arunkumar N., Enas W. Abdulhay, U. Rajendra Acharya:
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. IEEE Access 7: 28498-28509 (2019) - [j257]Kang Hao Cheong, Kenneth Jian Wei Tang, Jin Ming Koh, Simon Ching Man Yu, U. Rajendra Acharya, Nenggang Xie:
A Novel Methodology to Improve Cooling Efficiency at Data Centers. IEEE Access 7: 153799-153809 (2019) - [j256]Moloud Abdar, U. Rajendra Acharya, Nizal Sarrafzadegan, Vladimir Makarenkov:
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. IEEE Access 7: 167605-167620 (2019) - [j255]Kang Hao Cheong, Sandra Poeschmann, Joel Weijia Lai, Jin Ming Koh, U. Rajendra Acharya, Simon Ching Man Yu, Kenneth Jian Wei Tang:
Practical Automated Video Analytics for Crowd Monitoring and Counting. IEEE Access 7: 183252-183261 (2019) - [j254]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) - [j253]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Jahmunah Vicnesh, Edward J. Ciaccio, Shu Lih Oh, Sock Keow Tan, Raja Rizal Azman Raja Aman, Filippo Molinari, Kwan Hoong Ng:
Automated plaque classification using computed tomography angiography and Gabor transformations. Artif. Intell. Medicine 100 (2019) - [j252]V. Jahmunah, Shu Lih Oh, V. Rajinikanth, Edward J. Ciaccio, Kang Hao Cheong, Arunkumar N., U. Rajendra Acharya:
Automated detection of schizophrenia using nonlinear signal processing methods. Artif. Intell. Medicine 100 (2019) - [j251]Pawel Plawiak, Moloud Abdar, U. Rajendra Acharya:
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. Appl. Soft Comput. 84 (2019) - [j250]Shishir Maheshwari, Vivek Kanhangad, Ram Bilas Pachori, Sulatha V. Bhandary, U. Rajendra Acharya:
Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques. Comput. Biol. Medicine 105: 72-80 (2019) - [j249]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) - [j248]Nicola Michielli, U. Rajendra Acharya, Filippo Molinari:
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. Comput. Biol. Medicine 106: 71-81 (2019) - [j247]ChS. S. S. Viswabhargav, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals. Comput. Biol. Medicine 108: 20-30 (2019) - [j246]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j245]Jose Kunnel Paul, Thomas Iype, Dileep R, Yuki Hagiwara, Joel E. W. Koh, U. Rajendra Acharya:
Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features. Comput. Biol. Medicine 111 (2019) - [j244]Özal Yildirim, Muhammed Talo, Betül Ay Karakus, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya:
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Comput. Biol. Medicine 113 (2019) - [j243]Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel Koh En Wei, Shu Lih Oh, Leonard Yip Wei Leon, U. Rajendra Acharya:
Automated detection of glaucoma using optical coherence tomography angiogram images. Comput. Biol. Medicine 115 (2019) - [j242]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) - [j241]Ashish Sharma, Shivnarayan Patidar, Abhay Upadhyay, U. Rajendra Acharya:
Accurate tunable-Q wavelet transform based method for QRS complex detection. Comput. Electr. Eng. 75: 101-111 (2019) - [j240]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, U. Rajendra Acharya:
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. Comput. Medical Imaging Graph. 77 (2019) - [j239]Muhammed Talo, Özal Yildirim, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya:
Convolutional neural networks for multi-class brain disease detection using MRI images. Comput. Medical Imaging Graph. 78 (2019) - [j238]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) - [j237]Oliver Faust, Hajar Razaghi, Ragab Barika, Edward J. Ciaccio, U. Rajendra Acharya:
A review of automated sleep stage scoring based on physiological signals for the new millennia. Comput. Methods Programs Biomed. 176: 81-91 (2019) - [j236]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) - [j235]Edward J. Ciaccio, Elaine Y. Wan, Deepak S. Saluja, U. Rajendra Acharya, Nicholas S. Peters, Hasan Garan:
Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation. Comput. Methods Programs Biomed. 178: 113-122 (2019) - [j234]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) - [j233]Wojciech Ksiazek, Moloud Abdar, U. Rajendra Acharya, Pawel Plawiak:
A novel machine learning approach for early detection of hepatocellular carcinoma patients. Cogn. Syst. Res. 54: 116-127 (2019) - [j232]Amita Das, U. Rajendra Acharya, Soumya S. Panda, Sukanta Sabut:
Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. Cogn. Syst. Res. 54: 165-175 (2019) - [j231]Muhammed Talo, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya:
Application of deep transfer learning for automated brain abnormality classification using MR images. Cogn. Syst. Res. 54: 176-188 (2019) - [j230]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) - [j229]U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, Joel E. W. Koh, Shu Lih Oh, Edward J. Ciaccio, Asit Kumar Subudhi, V. Jahmunah, Sukanta Sabut:
Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. Cogn. Syst. Res. 58: 134-142 (2019) - [j228]Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Jen Hong Tan, Edward J. Ciaccio, Peter H. R. Green, Suzanne K. Lewis, U. Rajendra Acharya:
Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images. Future Gener. Comput. Syst. 90: 86-93 (2019) - [j227]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) - [j226]U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, S. Suren, Joel E. W. Koh, Shu Lih Oh, Arunkumar N., Edward J. Ciaccio, Choo Min Lim:
Characterization of focal EEG signals: A review. Future Gener. Comput. Syst. 91: 290-299 (2019) - [j225]Anurag Nishad, Abhay Upadhyay, Ram Bilas Pachori, U. Rajendra Acharya:
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals. Future Gener. Comput. Syst. 93: 96-110 (2019) - [j224]Jahmunah Vicnesh, Joel Koh En Wei, Edward J. Ciaccio, Shu Lih Oh, Govind Bhagat, Suzanne K. Lewis, Peter H. R. Green, U. Rajendra Acharya:
Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors. J. Medical Syst. 43(6): 157:1-157:9 (2019) - [j223]Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya:
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. J. Medical Syst. 43(7): 205:1-205:12 (2019) - [j222]Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov:
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43(7): 220:1-220:23 (2019) - [j221]U. Raghavendra, Anjan Gudigar, Sulatha V. Bhandary, Tejaswi N. Rao, Edward J. Ciaccio, U. Rajendra Acharya:
A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images. J. Medical Syst. 43(9): 299:1-299:9 (2019) - [j220]U. Rajendra Acharya, Steven Lawrence Fernandes, Joel Koh En Wei, Edward J. Ciaccio, Mohd Kamil Bin Mohd Fabell, Urcun John Tanik, V. Rajinikanth, Chai Hong Yeong:
Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. J. Medical Syst. 43(9): 302:1-302:14 (2019) - [j219]Türker Tuncer, Sengül Dogan, Pawel Plawiak, U. Rajendra Acharya:
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals. Knowl. Based Syst. 186 (2019) - [j218]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
An efficient traffic sign recognition based on graph embedding features. Neural Comput. Appl. 31(2): 395-407 (2019) - [j217]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) - [j216]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) - [j215]Manish Sharma, U. Rajendra Acharya:
A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank. Pattern Recognit. Lett. 125: 235-240 (2019) - [c23]Sajad Mousavi, Fatemeh Afghah, Abolfazl Razi, U. Rajendra Acharya:
ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention. BHI 2019: 1-4 - [i3]Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. CoRR abs/1903.02108 (2019) - 2018
- [j214]Manish Sharma, Dipankar Deb, U. Rajendra Acharya:
A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals. Appl. Intell. 48(5): 1368-1378 (2018) - [j213]Joel E. W. Koh, Eddie-Yin-Kwee Ng, Sulatha V. Bhandary, Augustinus Laude, U. Rajendra Acharya:
Automated detection of retinal health using PHOG and SURF features extracted from fundus images. Appl. Intell. 48(5): 1379-1393 (2018) - [j212]U. Raghavendra, Hamido Fujita, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, U. Rajendra Acharya:
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images. Biomed. Signal Process. Control. 40: 324-334 (2018) - [j211]Joel E. W. Koh, Eddie-Yin-Kwee Ng, Sulatha V. Bhandary, Yuki Hagiwara, Augustinus Laude, U. Rajendra Acharya:
Automated retinal health diagnosis using pyramid histogram of visual words and Fisher vector techniques. Comput. Biol. Medicine 92: 204-209 (2018) - [j210]Kristen M. Meiburger, U. Rajendra Acharya, Filippo Molinari:
Automated localization and segmentation techniques for B-mode ultrasound images: A review. Comput. Biol. Medicine 92: 210-235 (2018) - [j209]U. Rajendra Acharya, Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, Arkadiusz Gertych, Anushya Vijayananthan, Nur Adura Yaakup, Basri Johan Jeet Abdullah, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong:
Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features. Comput. Biol. Medicine 94: 11-18 (2018) - [j208]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) - [j207]U. Raghavendra, Anjan Gudigar, M. Maithri, Arkadiusz Gertych, Kristen M. Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U. Rajendra Acharya:
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Comput. Biol. Medicine 95: 55-62 (2018) - [j206]Manish Sharma, Deepanshu Goyal, Achuth P. V., U. Rajendra Acharya:
An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank. Comput. Biol. Medicine 98: 58-75 (2018) - [j205]Manish Sharma, Shreyansh Agarwal, U. Rajendra Acharya:
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals. Comput. Biol. Medicine 100: 100-113 (2018) - [j204]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli:
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput. Biol. Medicine 100: 270-278 (2018) - [j203]Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, Nahid Dadmehr, Hojjat Adeli:
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis. Comput. Biol. Medicine 102: 234-241 (2018) - [j202]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) - [j201]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) - [j200]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) - [j199]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) - [j198]Asit Kumar Subudhi, U. Rajendra Acharya, Manasa Dash, Subhransu Jena, Sukanta Sabut:
Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. Comput. Biol. Medicine 103: 116-129 (2018) - [j197]Manish Sharma, U. Rajendra Acharya:
Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank. Comput. Electr. Eng. 72: 191-202 (2018) - [j196]Oliver Faust, Yuki Hagiwara, Jen Hong Tan, Shu Lih Oh, U. Rajendra Acharya:
Deep learning for healthcare applications based on physiological signals: A review. Comput. Methods Programs Biomed. 161: 1-13 (2018) - [j195]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, Subha D. Puthankattil:
Automated EEG-based screening of depression using deep convolutional neural network. Comput. Methods Programs Biomed. 161: 103-113 (2018) - [j194]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) - [j193]Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, Augustinus Laude, Edward J. Ciaccio, Louis Tong, U. Rajendra Acharya:
Computer-aided diagnosis of glaucoma using fundus images: A review. Comput. Methods Programs Biomed. 165: 1-12 (2018) - [j192]U. Rajendra Acharya, U. Raghavendra, Joel E. W. Koh, Kristen M. Meiburger, Edward J. Ciaccio, Yuki Hagiwara, Filippo Molinari, Wai Ling Leong, Anushya Vijayananthan, Nur Adura Yaakup, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong:
Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features. Comput. Methods Programs Biomed. 166: 91-98 (2018) - [j191]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) - [j190]Manish Sharma, Achuth P. V., Dipankar Deb, Subha D. Puthankattil, U. Rajendra Acharya:
An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals. Cogn. Syst. Res. 52: 508-520 (2018) - [j189]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, U. Raghavendra, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Yuki Hagiwara:
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. Future Gener. Comput. Syst. 79: 952-959 (2018) - [j188]U. Raghavendra, N. Shyamasunder Bhat, Anjan Gudigar, U. Rajendra Acharya:
Automated system for the detection of thoracolumbar fractures using a CNN architecture. Future Gener. Comput. Syst. 85: 184-189 (2018) - [j187]Jen Hong Tan, Sulatha V. Bhandary, Sobha Sivaprasad, Yuki Hagiwara, Akanksha Bagchi, U. Raghavendra, A. Krishna Rao, Biju Raju, Nitin Shridhara Shetty, Arkadiusz Gertych, Kuang Chua Chua, U. Rajendra Acharya:
Age-related Macular Degeneration detection using deep convolutional neural network. Future Gener. Comput. Syst. 87: 127-135 (2018) - [j186]Manish Sharma, Pragya Sharma, Ram Bilas Pachori, U. Rajendra Acharya:
Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification. Int. J. Fuzzy Syst. 20(4): 1297-1308 (2018) - [j185]U. Rajendra Acharya, Ayesha Akter, Pradeep Chowriappa, Sumeet Dua, U. Raghavendra, Joel E. W. Koh, Jen Hong Tan, Sook Sam Leong, Anushya Vijayananthan, Yuki Hagiwara, Marlina Tanty Ramli, Kwan Hoong Ng:
Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework. Int. J. Fuzzy Syst. 20(4): 1385-1402 (2018) - [j184]U. Raghavendra, Hamido Fujita, Sulatha V. Bhandary, Anjan Gudigar, Jen Hong Tan, U. Rajendra Acharya:
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images. Inf. Sci. 441: 41-49 (2018) - [j183]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) - [j182]Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection. Knowl. Based Syst. 160: 265-277 (2018) - [j181]Filippo Molinari, U. Raghavendra, Anjan Gudigar, Kristen M. Meiburger, U. Rajendra Acharya:
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. Medical Biol. Eng. Comput. 56(9): 1579-1593 (2018) - [j180]Yuvaraj Rajamanickam, U. Rajendra Acharya, Yuki Hagiwara:
A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals. Neural Comput. Appl. 30(4): 1225-1235 (2018) - [j179]Krzysztof Rzecki, Tomasz Sosnicki, Mateusz Baran, Michal Niedzwiecki, Malgorzata Król, Tomasz Lojewski, U. Rajendra Acharya, Özal Yildirim, Pawel Plawiak:
Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. Sensors 18(11): 3670 (2018) - [c22]U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, Hamido Fujita, U. Rajendra Acharya:
Automated Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images. SoMeT 2018: 1018-1026 - 2017
- [j178]Shivnarayan Patidar, Ram Bilas Pachori, Abhay Upadhyay, U. Rajendra Acharya:
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism. Appl. Soft Comput. 50: 71-78 (2017) - [j177]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) - [j176]Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya:
Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals. Biomed. Signal Process. Control. 31: 301-308 (2017) - [j175]U. Rajendra Acharya, Wei Lin Ng, Kartini Rahmat, K. Vidya Sudarshan, Joel E. W. Koh, Jen Hong Tan, Yuki Hagiwara, Chai Hong Yeong, Kwan Hoong Ng:
Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm. Biomed. Signal Process. Control. 33: 400-410 (2017) - [j174]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) - [j173]U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao, Yuki Hagiwara, Chua Kuang Chua, Augustinus Laude:
Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index. Comput. Biol. Medicine 84: 59-68 (2017) - [j172]Joel E. W. Koh, U. Rajendra Acharya, Yuki Hagiwara, U. Raghavendra, Jen Hong Tan, Subbhuraam Vinitha Sree, Sulatha V. Bhandary, A. Krishna Rao, Sobha Sivaprasad, Kuang Chua Chua, Augustinus Laude, Louis Tong:
Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies. Comput. Biol. Medicine 84: 89-97 (2017) - [j171]U. Rajendra Acharya, K. Vidya Sudarshan, Soon Qing Rong, Zechariah Tan, Choo Min Lim, Joel E. W. Koh, Sujatha Nayak, Sulatha V. Bhandary:
Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals. Comput. Biol. Medicine 85: 33-42 (2017) - [j170]U. Rajendra Acharya, Shreya Bhat, Joel E. W. Koh, Sulatha V. Bhandary, Hojjat Adeli:
A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images. Comput. Biol. Medicine 88: 72-83 (2017) - [j169]Chaitra Sridhar, Shreya Bhat, U. Rajendra Acharya, Hojjat Adeli, Giliyar Muralidhar Bairy:
Diagnosis of attention deficit hyperactivity disorder using imaging and signal processing techniques. Comput. Biol. Medicine 88: 93-99 (2017) - [j168]Shishir Maheshwari, Ram Bilas Pachori, Vivek Kanhangad, Sulatha V. Bhandary, U. Rajendra Acharya:
Iterative variational mode decomposition based automated detection of glaucoma using fundus images. Comput. Biol. Medicine 88: 142-149 (2017) - [j167]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) - [j166]U. Rajendra Acharya, Wei Lin Ng, Kartini Rahmat, K. Vidya Sudarshan, Joel E. W. Koh, Jen Hong Tan, Yuki Hagiwara, Arkadiusz Gertych, Farhana Fadzli, Chai Hong Yeong, Kwan Hoong Ng:
Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques. Comput. Biol. Medicine 91: 13-20 (2017) - [j165]Muhammad Adam, Kwan Hoong Ng, Jen Hong Tan, Marabelle L. Heng, Jasper Tong, U. Rajendra Acharya:
Computer aided diagnosis of diabetic foot using infrared thermography: A review. Comput. Biol. Medicine 91: 326-336 (2017) - [j164]Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya:
Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals. Entropy 19(3): 92 (2017) - [j163]Abhijit Bhattacharyya, Ram Bilas Pachori, U. Rajendra Acharya:
Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis. Entropy 19(3): 99 (2017) - [j162]Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya:
Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework. Entropy 19(9): 488 (2017) - [j161]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) - [j160]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam:
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network. Inf. Sci. 405: 81-90 (2017) - [j159]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam:
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf. Sci. 415: 190-198 (2017) - [j158]Jen Hong Tan, Hamido Fujita, Sobha Sivaprasad, Sulatha V. Bhandary, A. Krishna Rao, Kuang Chua Chua, U. Rajendra Acharya:
Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network. Inf. Sci. 420: 66-76 (2017) - [j157]U. Rajendra Acharya, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao, U. Raghavendra:
Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features. J. Comput. Sci. 20: 41-51 (2017) - [j156]Rajeev Sharma, Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya:
Decision support system for focal EEG signals using tunable-Q wavelet transform. J. Comput. Sci. 20: 52-60 (2017) - [j155]Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary, Kuang Chua Chua, Sobha Sivaprasad:
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network. J. Comput. Sci. 20: 70-79 (2017) - [j154]Raman Preet Singh, Savita Gupta, U. Rajendra Acharya:
Segmentation of prostate contours for automated diagnosis using ultrasound images: A survey. J. Comput. Sci. 21: 223-231 (2017) - [j153]Manish Sharma, Abhinav Dhere, Ram Bilas Pachori, U. Rajendra Acharya:
An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks. Knowl. Based Syst. 118: 217-227 (2017) - [j152]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua:
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network. Knowl. Based Syst. 132: 62-71 (2017) - [j151]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Jie Hui Koo, Arihant Jain, Choo Min Lim, Kuang Chua Chua:
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal. Knowl. Based Syst. 132: 156-166 (2017) - [j150]Filippo Molinari, Daniele Rimini, William Liboni, U. Rajendra Acharya, Marianno Franzini, Sergio Pandolfi, Giovanni Ricevuti, Francesco Vaiano, Luigi Valdenassi, Vincenzo Simonetti:
Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients. Medical Biol. Eng. Comput. 55(8): 1163-1175 (2017) - [j149]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
Multiple thresholding and subspace based approach for detection and recognition of traffic sign. Multim. Tools Appl. 76(5): 6973-6991 (2017) - [j148]Kemal Polat, Muthusamy Hariharan, U. Rajendra Acharya, Yanhui Guo:
Guest editorial: New trends in data pre-processing methods for signal and image classification. Neural Comput. Appl. 28(10): 2839-2841 (2017) - [j147]Manish Sharma, Ram Bilas Pachori, U. Rajendra Acharya:
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension. Pattern Recognit. Lett. 94: 172-179 (2017) - [j146]Vipin Gupta, Tanvi Priya, Abhishek Kumar Yadav, Ram Bilas Pachori, U. Rajendra Acharya:
Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform. Pattern Recognit. Lett. 94: 180-188 (2017) - [j145]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
Local texture patterns for traffic sign recognition using higher order spectra. Pattern Recognit. Lett. 94: 202-210 (2017) - [j144]Shishir Maheshwari, Ram Bilas Pachori, U. Rajendra Acharya:
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images. IEEE J. Biomed. Health Informatics 21(3): 803-813 (2017) - [c21]Hamido Fujita, K. Vidya Sudarshan, Muhammad Adam, Shu Lih Oh, Jen Hong Tan, Yuki Hagiwara, Kuang Chua Chua, Chua Kok Poo, U. Rajendra Acharya:
Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal. IEA/AIE (1) 2017: 259-266 - [c20]Hamido Fujita, U. Raghavendra, Anjan Gudigar, Vinoy Vishnu Vadakkepat, U. Rajendra Acharya:
Automated Characterization of Breast Cancer Using Steerable Filters. SoMeT 2017: 321-327 - [i2]Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary, Kuang Chua Chua, Sobha Sivaprasad:
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network. CoRR abs/1702.00509 (2017) - 2016
- [j143]Hamido Fujita, U. Rajendra Acharya, K. Vidya Sudarshan, Dhanjoo N. Ghista, Subbhuraam Vinitha Sree, Wei Jie Eugene Lim, Joel E. W. Koh:
Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index. Appl. Soft Comput. 43: 510-519 (2016) - [j142]U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, Anjan Gudigar, Jen Hong Tan, Shreesha Chokkadi:
Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images. Appl. Soft Comput. 46: 151-161 (2016) - [j141]K. Vidya Sudarshan, Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Vinod Chandran, Filippo Molinari, Hamido Fujita, Kwan Hoong Ng:
Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review. Comput. Biol. Medicine 69: 97-111 (2016) - [j140]K. Vidya Sudarshan, U. Rajendra Acharya, E. Y. K. Ng, Ru San Tan, Siaw Meng Chou, Dhanjoo N. Ghista:
An integrated index for automated detection of infarcted myocardium from cross-sectional echocardiograms using texton-based features (Part 1). Comput. Biol. Medicine 71: 231-240 (2016) - [j139]K. Sudarshan Vidya, U. Rajendra Acharya, E. Y. K. Ng, Ru San Tan, Siaw Meng Chou, Dhanjoo N. Ghista:
Data mining framework for identification of myocardial infarction stages in ultrasound: A hybrid feature extraction paradigm (PART 2). Comput. Biol. Medicine 71: 241-251 (2016) - [j138]U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E. W. Koh, Jen Hong Tan, Kevin Noronha, Sulatha V. Bhandary, A. Krishna Rao, Yuki Hagiwara, Chua Kuang Chua, Augustinus Laude:
Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features. Comput. Biol. Medicine 73: 131-140 (2016) - [j137]U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao, Hamido Fujita, Yuki Hagiwara, Chua Kuang Chua, Augustinus Laude:
Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index. Comput. Biol. Medicine 75: 54-62 (2016) - [j136]Sook Sam Leong, Anushya Vijayananthan, Nur Adura Yaakup, Nazri Shah, Kwan Hoong Ng, U. Rajendra Acharya, Mehmet Bilgen:
Observer performance in characterization of carotid plaque texture and surface characteristics with 3D versus 2D ultrasound. Comput. Biol. Medicine 78: 58-64 (2016) - [j135]U. Rajendra Acharya, U. Raghavendra, Hamido Fujita, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, K. Vidya Sudarshan, Anushya Vijayananthan, Chai Hong Yeong, Anjan Gudigar, Kwan Hoong Ng:
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images. Comput. Biol. Medicine 79: 250-258 (2016) - [j134]Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya:
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals. Expert Syst. Appl. 63: 165-172 (2016) - [j133]U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng:
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images. Inf. Fusion 29: 32-39 (2016) - [j132]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Muthu Rama Krishnan Mookiah, Joel E. W. Koh, Jen Hong Tan, Yuki Hagiwara, Chua Kuang Chua, Sameer P. Junnarkar, Anushya Vijayananthan, Kwan Hoong Ng:
An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images. Inf. Fusion 31: 43-53 (2016) - [j131]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shu Lih Oh, Muhammad Adam, Joel E. W. Koh, Jen Hong Tan, Dhanjoo N. Ghista, Roshan Joy Martis, Chua Kuang Chua, Chua Kok Poo, Ru San Tan:
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads. Knowl. Based Syst. 99: 146-156 (2016) - [j130]U. Rajendra Acharya, Pradeep Chowriappa, Hamido Fujita, Shreya Bhat, Sumeet Dua, Joel E. W. Koh, Wei Jie Eugene Lim, Pailin Kongmebhol, Kwan Hoong Ng:
Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images. Knowl. Based Syst. 107: 235-245 (2016) - [c19]U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, Shu Lih Oh, Jen Hong Tan, K. Vidya Sudarshan, Joel E. W. Koh:
Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats. SMC 2016: 533-538 - [c18]Chaitra Sridhar, U. Rajendra Acharya, Hamido Fujita, Giliyar Muralidhar Bairy:
Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals. SMC 2016: 545-549 - 2015
- [j129]Kemal Polat, Musa Hakan Asyali, Muthusamy Hariharan, U. Rajendra Acharya, Mario Köppen:
Preface. Appl. Soft Comput. 37: 939-941 (2015) - [j128]U. Rajendra Acharya, E. Y. K. Ng, Wei Jie Eugene Lim, Kevin Noronha, Lim Choo Min, K. Prabhakar Nayak, Sulatha V. Bhandary:
Decision support system for the glaucoma using Gabor transformation. Biomed. Signal Process. Control. 15: 18-26 (2015) - [j127]Oliver Faust, Wenwei Yu, U. Rajendra Acharya:
The role of real-time in biomedical science: A meta-analysis on computational complexity, delay and speedup. Comput. Biol. Medicine 58: 73-84 (2015) - [j126]Filippo Molinari, Roshan Joy Martis, U. Rajendra Acharya, Kristen M. Meiburger, Riccardo De Luca, Giuliana Petraroli, William Liboni:
Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients. Comput. Biol. Medicine 59: 1-9 (2015) - [j125]K. Sudarshan Vidya, E. Y. K. Ng, U. Rajendra Acharya, Siaw Meng Chou, Ru San Tan, Dhanjoo N. Ghista:
Computer-aided diagnosis of Myocardial Infarction using ultrasound images with DWT, GLCM and HOS methods: A comparative study. Comput. Biol. Medicine 62: 86-93 (2015) - [j124]Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Hamido Fujita, Joel E. W. Koh, Jen Hong Tan, Kevin Noronha, Sulatha V. Bhandary, Chua Kuang Chua, Choo Min Lim, Augustinus Laude, Louis Tong:
Local configuration pattern features for age-related macular degeneration characterization and classification. Comput. Biol. Medicine 63: 208-218 (2015) - [j123]Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Hamido Fujita, Jen Hong Tan, Chua Kuang Chua, Sulatha V. Bhandary, Augustinus Laude, Louis Tong:
Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review. Comput. Biol. Medicine 66: 295-315 (2015) - [j122]Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya:
Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals. Entropy 17(2): 669-691 (2015) - [j121]Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya:
An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures. Entropy 17(8): 5218-5240 (2015) - [j120]Ram Bilas Pachori, Pakala Avinash, Kora Shashank, Rajeev Sharma, U. Rajendra Acharya:
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals. Expert Syst. Appl. 42(9): 4567-4581 (2015) - [j119]U. Rajendra Acharya, Oliver Faust, Filippo Molinari, Subbhuraam Vinitha Sree, Sameer P. Junnarkar, K. Vidya Sudarshan:
Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm. Knowl. Based Syst. 75: 66-77 (2015) - [j118]U. Rajendra Acharya, K. Sudarshan Vidya, Dhanjoo N. Ghista, Wei Jie Eugene Lim, Filippo Molinari, Meena Sankaranarayanan:
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method. Knowl. Based Syst. 81: 56-64 (2015) - [j117]Shivnarayan Patidar, Ram Bilas Pachori, U. Rajendra Acharya:
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals. Knowl. Based Syst. 82: 1-10 (2015) - [j116]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Vinitha S. Sree, Wei Jie Eugene Lim, Dhanjoo N. Ghista, Ru San Tan:
An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features. Knowl. Based Syst. 83: 149-158 (2015) - [j115]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shreya Bhat, Joel E. W. Koh:
Application of entropies for automated diagnosis of epilepsy using EEG signals: A review. Knowl. Based Syst. 88: 85-96 (2015) - [j114]Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Hamido Fujita, Joel E. W. Koh, Jen Hong Tan, Chua Kuang Chua, Sulatha V. Bhandary, Kevin Noronha, Augustinus Laude, Louis Tong:
Automated detection of age-related macular degeneration using empirical mode decomposition. Knowl. Based Syst. 89: 654-668 (2015) - [j113]Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Vinod Chandran, Roshan Joy Martis, Jen Hong Tan, Joel E. W. Koh, Chua Kuang Chua, Louis Tong, Augustinus Laude:
Application of higher-order spectra for automated grading of diabetic maculopathy. Medical Biol. Eng. Comput. 53(12): 1319-1331 (2015) - [j112]Sulaimon Ibrahim, Pradeep Chowriappa, Sumeet Dua, U. Rajendra Acharya, Kevin Noronha, Sulatha V. Bhandary, Hatwib Mugasa:
Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier. Medical Biol. Eng. Comput. 53(12): 1345-1360 (2015) - [c17]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Dhanjoo N. Ghista, Wei Jie Eugene Lim, Joel E. W. Koh:
Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals. SMC 2015: 1110-1115 - 2014
- [j111]Kevin Noronha, U. Rajendra Acharya, K. Prabhakar Nayak, Roshan Joy Martis, Sulatha V. Bhandary:
Automated classification of glaucoma stages using higher order cumulant features. Biomed. Signal Process. Control. 10: 174-183 (2014) - [j110]Roshan Joy Martis, U. Rajendra Acharya, Hojjat Adeli, Hari Prasad, Jen Hong Tan, Kuang Chua Chua, Chea Loon Too, Sharon Wan Jie Yeo, Louis Tong:
Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation. Biomed. Signal Process. Control. 13: 295-305 (2014) - [j109]Roshan Joy Martis, U. Rajendra Acharya, Hojjat Adeli:
Current methods in electrocardiogram characterization. Comput. Biol. Medicine 48: 133-149 (2014) - [j108]Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Joel E. W. Koh, Vinod Chandran, Chua Kuang Chua, Jen Hong Tan, Choo Min Lim, Eddie-Yin-Kwee Ng, Kevin Noronha, Louis Tong, Augustinus Laude:
Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images. Comput. Biol. Medicine 53: 55-64 (2014) - [j107]U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, G. Swapna, Roshan Joy Martis, Nahrizul Adib Kadri, Jasjit S. Suri:
Linear and nonlinear analysis of normal and CAD-affected heart rate signals. Comput. Methods Programs Biomed. 113(1): 55-68 (2014) - [j106]Jen Hong Tan, U. Rajendra Acharya:
Active spline model: A shape based model - interactive segmentation. Digit. Signal Process. 35: 64-74 (2014)