U. Rajendra Acharya

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 450

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

CoRR

IEEE Access

Publications

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 (2024)
Mehmet Ali Kobat, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Tarik Kivrak, Yusuf Akin, G. Muralidhar Bairy, Ru San Tan, U. Rajendra Acharya
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection. Multim. Tools Appl. 83 (12) (2024)
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 (2024)
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. 83 (26) (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
Prabal Datta Barua, Serkan Kirik, Sengul Dogan, Canan Koc, Fatih Özkaynak, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images. Multim. Tools Appl. 83 (13) (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Mehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya
Novel tiny textural motif pattern-based RNA virus protein sequence classification model. Expert Syst. Appl. 242 (2024)
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) (2024)
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 (2024)
Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Elizabeth Emma Palmer, Sonja March, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya
FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech. Comput. Biol. Medicine 173 (2024)
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 (2024)
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 (2024)
Sara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru San Tan, U. Rajendra Acharya
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. IEEE Access 12 (2024)
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 (2024)
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 (2024)
Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen Hong Tan, Sonja March, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Automated anxiety detection using probabilistic binary pattern with ECG signals. Comput. Methods Programs Biomed. 247 (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2024)
Mehmet Kiliç, Prabal Datta Barua, Tugce Keles, Arif Metehan Yildiz, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Mutlu Kuluozturk, Ru San Tan, U. Rajendra Acharya
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi, Mirsaeed Abdollahi, Ali Jafarizadeh, Siamak Pedrammehr, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. CoRR (2024)
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) (2024)
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)
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) (2024)
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 (2024)
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 (2024)
Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya
Transfer learning with spinally shared layers. Appl. Soft Comput. 163 (2024)
El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, Ru San Tan, U. Rajendra Acharya
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals. Expert Syst. Appl. 239 (2024)
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 (2024)
Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. 244 (2024)
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 (2024)
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 (1) (2024)
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 (2024)
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) (2024)
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)
Serkan Kirik, Irem Tasci, Prabal Datta Barua, Arif Metehan Yildiz, Tugce Keles, Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Turker Tuncer, Aruna Devi, Ru San Tan, U. Rajendra Acharya
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals. Knowl. Based Syst. 300 (2024)
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 (2024)
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 (2024)
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 (2023)
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)
Mariam Zomorodi, Ismail Ghodsollahee, Pawel Plawiak, U. Rajendra Acharya
RECOMMED: A Comprehensive Pharmaceutical Recommendation System. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
Prabal Datta Barua, Sengul Dogan, Gurkan Kavuran, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers. Neural Comput. Appl. 35 (30) (2023)
Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade. CoRR (2023)
Prabal Datta Barua, 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) (2023)
Prabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Ali Kobat, Fahrettin Burak Demir, Mehmet Baygin, Turker Tuncer, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals. Int. J. Mach. Learn. Cybern. 14 (5) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Aditya Wadichar, Shruti Murarka, Dhruvi Shah, Ankit A. Bhurane, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya
A Hierarchical Approach for the Diagnosis of Sleep Disorders Using Convolutional Recurrent Neural Network. IEEE Access 11 (2023)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
Gulay Tasci, Hui Wen Loh, Prabal Datta Barua, Mehmet Baygin, Burak Tasci, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Ru San Tan, U. Rajendra Acharya
Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals. Knowl. Based Syst. 260 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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) (2023)
Thanveer Basha Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
Smith K. Khare, U. Rajendra Acharya
Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowl. Based Syst. 278 (2023)
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) (2023)
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) (2023)
Serkan Kirik, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Caner Feyzi Demir, Tugce Keles, Arif Metehan Yildiz, Nursena Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
FGPat18: Feynman graph pattern-based language detection model using EEG signals. Biomed. Signal Process. Control. 85 (2023)
Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Abdul Hafeez-Baig, Ru San Tan, Subrata Chakraborty, U. Rajendra Acharya
Solving the multiplication problem of a large language model system using a graph-based method. CoRR (2023)
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)

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U. Rajendra Acharya