Publications

2025

• Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications

  Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U Rajendra Acharya

  IEEE Access, 13, 25026 - 25044 (2025)

  https://doi.org/10.1109/ACCESS.2025.3539196

  *Supported by "IROAST Publication Support Programs FY2024"

• Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts

  S Ghimire, MS AL-Musaylh, T Nguyen-Huy, RC Deo, R Acharya, David Casillas-Pérez, Zaher Mundher Yaseen, Sancho Salcedo-Sanz

  Applied Energy 378, Part A, 124763, 2025

  https://doi.org/10.1016/j.apenergy.2024.124763

2024

• Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review

   Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, Elizabeth Emma Palmer, Toshitaka Yamakawa, Makiko Kobayashi, Udyavara Rajendra Acharya

  Cognitive Neurodynamics, 18(1) 1-22 (2024)

  https://doi.org/10.1007/s11571-022-09904-0

• Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

  S Ghimire, RC Deo, D Casillas-Pérez, S Salcedo-Sanz, SA Pourmousavi, U. Rajendra Acharya

  Engineering Applications of Artificial Intelligence 132, 107918, 2024

  https://doi.org/10.1016/j.engappai.2024.107918

• Novel tiny textural motif pattern-based RNA virus protein sequence classification model

  Mehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru-San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya

  Expert Systems with Applications 242, 122781, 2024

  https://doi.org/10.1016/j.eswa.2023.122781

• GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds

  Kilic, Mehmet; Barua, Prabal Datta; Keles, Tugce; Yildiz, Arif Metehan; Tuncer, Ilknur; Dogan, Sengul; Baygin, Mehmet; Tuncer, Turker; Kuluozturk, Mutlu; Tan, Ru-San; Acharya, U. Rajendra

  Engineering Applications of Artificial Intelligence, 127, Part A, 107184, 2024

  https://doi.org/10.1016/j.engappai.2023.107184

• An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features

  M Sharma, AA Bhurane, UR Acharya

  Expert Systems, 41(5), e12939 (2024)
  

  https://doi.org/10.1111/exsy.12939

2023

• Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)

  Shuting Xu, Ravinesh C Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U Rajendra Acharya

  Computer Methods and Programs in Biomedicine 241, 107746, 2023

  https://doi.org/10.1016/j.cmpb.2023.107746

• SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals

  Smith K Khare, Varun Bajaj and U Rajendra Acharya

  Physiological Measurement 44, 3, 035005 (2023)

  https://doi.org/10.1088/1361-6579/acbc06

• An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals

  Smith K Khare, U Rajendra Acharya

  Computers in Biology and Medicine, 155, 106676 (2023)

  https://doi.org/10.1016/j.compbiomed.2023.106676

• A Novel Attention based model for Semantic Segmentation of Prostate Glands using Histopathological Images

  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

  IEEE Access, 11, 108982 - 108994 (2023)

  https://doi.org/10.1109/ACCESS.2023.3321273

• FF-BTP Model for Novel Sound-based Community Emotion Detection

  Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya

  IEEE Access 11, 108705-108715 (2023)

  https://doi.org/10.1109/ACCESS.2023.3318751

• Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal

  Prabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya

  IEEE Access 11, 101359-101372 (2023)

  https://doi.org/10.1109/ACCESS.2023.3315149

  *Supported by "IROAST Publication Support Programs 2023"

• Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

  Raghavendra, U.; Gudigar, Anjan; Paul, Aritra; Goutham, T. S.; Inamdar, Mahesh Anil; Hegde, Ajay; Devi, Aruna; Ooi, Chui Ping; Deo, Ravinesh C.; Barua, Prabal Datta; Molinari, Filippo; Ciaccio, Edward J.; Acharya, U. Rajendra

  Computers in Biology and Medicine 163, 107063, 2023
  

  https://doi.org/10.1016/j.compbiomed.2023.107063

• 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

  Mohan, Neethu; Kumar, S. Sachin; Soman, K. P.; Sujadevi, V. G.; Poornachandran, Prabaharan; Acharya, U. Rajendra

  IEEE Access, 11, 39228-39242, 2023

  https://doi.org/10.1109/ACCESS.2023.3267125

• Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

  Jahmunah, V.; Ng, E. Y. K.; Tan, Ru-San; Oh, Shu Lih; Acharya, U. Rajendra

  Computer Methods and Programs in Biomedicine, 229, 107308, 2023
  

  https://doi.org/10.1016/j.cmpb.2022.107308

• Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network

  Jahmunah, V.; Chen, Sylvia; Oh, Shu Lih; Acharya, U. Rajendra; Chowbay, Balram

  Computers in Biology and Medicine 153, 106548, 2023
  

  https://doi.org/10.1016/j.compbiomed.2023.106548

• An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images

  Oztekin, Faruk; Katar, Oguzhan; Sadak, Ferhat; Yildirim, Muhammed; Cakar, Hakan; Aydogan, Murat; Ozpolat, Zeynep; Yildirim, Tuba Talo; Yildirim, Ozal; Faust, Oliver; Acharya, U. Rajendra

  Diagnostics, 13 (2), 226, 2023

  https://doi.org/10.3390/diagnostics13020226

• Thin, flexible, and biocompatible medical ultrasound array transducer using a sol–gel composite spray technique

  Masayuki Tanabe, Kosuke Sato, Toru Uda and Makiko Kobayashi

  Jpn. J. Appl. Phys. 62 SJ1034, 2023

  https://doi.org/10.35848/1347-4065/acbc27

• Automated detection of scaphoid fractures using deep neural networks in radiographs

  Amanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh, P. V. Anamika, U. Rajendra Acharya, Sidharth Kamath, Anil K. Bhat 

  Biocybernetics and Biomedical Engineering, 122, 106165, 2023

  https://doi.org/10.1016/j.engappai.2023.106165

• Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review

  V. Jahmunah, Joel En Wei Koh, Vidya K. Sudarshan, U. Raghavendra, Anjan Gudigar, Shu Lih Oh, Hui Wen Loh, Oliver Faust, Prabal Datta Barua, Edward J Ciaccio, U. Rajendra Acharya

  Biocybernetics and Biomedical Engineering, 43, 1, 82-108, 2023

  https://doi.org/10.1016/j.bbe.2022.12.002

• FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas

  Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Chan Wai Yee, U. Rajendra Acharya

  International Journal of Imaging Systems and Technology, 33(2), 483-494, 2023

  https://doi.org/10.1002/ima.22820

• Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

  U Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, DP Subha, Nahrizul Adib Kadri, Edward J Ciaccio, U Rajendra Acharya

  Expert Systems, 40 (4), e12803, 2023

  https://doi.org/10.1111/exsy.12803

2022

• Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques

  Anjan Gudigar, Raghavendra U, Jyothi Samanth, Akhila Vasudeva, Ashwal A. J., Krishnananda Nayak, Ru-San Tan, Edward J. Ciaccio, Chui Ping Ooi, Prabal Datta Barua, Filippo Molinari, U.Rajendra Acharya

  J Imaging, 2022;8(4):102

  https://doi.org/10.3390/jimaging8040102

• Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

  Anjan Gudigar, Raghavendra U, Jyothi Samanth, Akhila Vasudeva, Ashwal A. J., Krishnananda Nayak, Ru-San Tan, Edward J. Ciaccio, Chui Ping Ooi, Prabal Datta Barua, Filippo Molinari, U.Rajendra Acharya

  Informatics, 2022, 9(2), 34

  https://doi.org/10.3390/informatics9020034

• Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review

  Vidya K. Sudarshan, U. Raghavendra, Anjan Gudigar, Edward J.Ciaccio, Anushya Vijayananthan, Ramesh Sahathevan, U Rajendra Acharya

  Biocybernetics and Biomedical Engineering, 42 (3), 2022, 888-901

  https://doi.org/10.1016/j.bbe.2022.07.001

• Automated detection of ADHD: Current trends and future perspective

  Hui Wen Loh, Chui Ping Ooi, Prabal Datta Barua, Palmer, Elizabeth Emma, Filippo Molinari, U Rajendra Acharya

  Computers in Biology and Medicine, 146, 2022, 105525

  https://doi.org/10.1016/j.compbiomed.2022.105525

• Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

  Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U Rajendra Acharya

  Computer Methods Programs in Biomedicine, 226, 2022, 107161

  https://doi.org/10.1016/j.cmpb.2022.107161

• Application of Photoplethysmography signals for Healthcare systems: An in-depth review

  Hui Wen Loh, Shuting Xu, Oliver Faust, Chui Ping Ooi, Prabal Datta Barua, Subrata Chakraborty, Ru-San Tan, Filippo Molinari, U Rajendra Acharya

  Computer Methods and Programs in Biomedicine, 216, 106677, 2022

  https://doi.org/10.1016/j.cmpb.2022.106677