U. Rajendra Acharya

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 428

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

CoRR

Knowl. Based Syst.

Publications

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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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) (2023)
Prabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal. IEEE Access 11 (2023)
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 (2023)
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 (2023)
Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi K. 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 (2023)
Kenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, Yunus Balik, Sevim Alkan, Feyzanur Cavlak, Ahmet Kursad Poyraz, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Mehmet Erten, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images. Int. J. Imaging Syst. Technol. 33 (4) (2023)
Mehmet Erten, Ilknur Tuncer, Prabal Datta Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. J. Digit. Imaging 36 (4) (2023)
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 (2023)
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 (2023)
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 (2023)
Nursena Baygin, Emrah Aydemir, Prabal D. Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals. Expert Syst. Appl. 227 (2023)
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) (2023)
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 (2023)
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) (2023)
Mehmet Erten, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Swin-LBP: a competitive feature engineering model for urine sediment classification. Neural Comput. Appl. 35 (29) (2023)
Suat Gokhan Ozkaya, Nursena Baygin, Prabal D. 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 (2023)
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) (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. CoRR (2023)
Jeffrey Soar, Shu Lih Oh, Hui Wen Loh, Aletha Ward, Ekta Sharma, Ravinesh C. Deo, Prabal Datta Barua, Ru San Tan, Eliezer Rinen, U. Rajendra Acharya
Deep Image Analysis for Microalgae Identification. iiWAS (2023)
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 (2023)
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 (2023)
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 (2023)
V. Jahmunah, E. Y. K. Ng, Ru San Tan, Shu Lih Oh, U. Rajendra Acharya
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals. Comput. Methods Programs Biomed. 229 (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
Suat Kamil Sut, Mustafa Koc, Gokhan Zorlu, Ihsan Serhatlioglu, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images. J. Digit. Imaging 36 (3) (2023)
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 (2023)
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 (2023)
Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158 (2023)
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)
Prabal Datta Barua, Arif Metehan Yildiz, Nida Canpolat, Tugce Keles, Sengul Dogan, Mehmet Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya
An accurate automated speaker counting architecture based on James Webb Pattern. Eng. Appl. Artif. Intell. 119 (2023)
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) (2023)
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) (2023)
Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya
FF-BTP Model for Novel Sound-Based Community Emotion Detection. IEEE Access 11 (2023)
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 (2023)

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U. Rajendra Acharya