U. Rajendra Acharya - researchr alias

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2026

Balancing privacy and performance: An empirical study of machine unlearning in deep learning modelsTazeem Ahmad, Xiaohui Tao 0001, Jianming Yong, Thanveer Shaik, Haoran Xie 0001, Yuefeng Li, U. Rajendra Acharya. eaai, 167:113530, 2026. [doi]

ShortNeXt: A novel method for accurate classification of colorectal cancer histopathology imagesPrabal Datta Barua, Burak Tasci, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Filippo Molinari, Massimo Salvi, U. Rajendra Acharya. cviu, 265:104672, 2026. [doi]

Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation techniqueMehmet Baygin, Ilknur Tuncer, Sengul Dogan, Prabal Datta Barua, Turker Tuncer, Kang Hao Cheong, U. Rajendra Acharya. soco, 30(2):1453-1454, February 2026. [doi]

Pleth-SleepNet: A Unified Network for Simultaneous Sleep Stages and Disorder Classification With PPG SignalManisha Ingle, Akash Tayade, Shreeyash Narad, Ankit A. Bhurane, Manish Sharma 0001, Hasan Saeed Mir, U. Rajendra Acharya. access, 14:29995-30005, 2026. [doi]

Characterization of Mental Stress Using Multivariate R-Vine Copula Approach With Physiological SignalsS. Janifer Jabin Jui, Thong Nguyen-Huy, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, U. Rajendra Acharya. access, 14:43080-43100, 2026. [doi]

Spike sequences classification for dengue and Zika infections in mosquito neurons using deep pre-trained modelsDanial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti. bspc, 119:109748, 2026. [doi]

A novel approach using deep belief network patterns and attention binary decomposition for automated community emotion detectionArif Metehan Yildiz, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Massimo Salvi, Ru San Tan, U. Rajendra Acharya. bspc, 116:109534, 2026. [doi]

Novel multi-cube extreme learning machine with sparse attention and ridge regression technique for robust machine learningMerve Zirekgur, Baris Karakaya, Abdulkadir Sengür, U. Rajendra Acharya. asc, 191:114704, 2026. [doi]

2025

Neurostressology: A systematic review of EEG-based automated mental stress perspectivesSayantan Acharya, Abbas Khosravi, Douglas Creighton, Roohallah Alizadehsani, U. Rajendra Acharya. inffus, 124:103368, 2025. [doi]

A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signalsOrhan Atila, Muhammed Halil Akpinar, Abdulkadir Sengür, U. Rajendra Acharya. cnsns, 145:108752, 2025. [doi]

Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023)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. inffus, 114:102673, 2025. [doi]

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical ImplicationsAnirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya. access, 13:25026-25044, 2025. [doi]

Understanding Non-Verbal Vocalizations from Minimally-Verbal Autistic Individuals: A Transfer Learning ApproachAnirudh Atmakuru, Pronab Sarker, Antu Chowdhury, Prabal Datta Barua, U. Rajendra Acharya, Abdul Hafeez-Baig, Subrata Chakraborty. dicta 2025: 1-8 [doi]

Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG SignalsPrabal Datta Barua, Makiko Kobayashi, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Jose Kunnel Paul, Thomas Iype, U. Rajendra Acharya. access, 13:99032-99047, 2025. [doi]

NEDL-GCP: A nested ensemble deep learning model for Gynecological cancer risk predictionKamal Berahmand, Xujuan Zhou, Yuefeng Li, Raj Gururajan, Prabal Datta Barua, U. Rajendra Acharya, Srinivas Kondalsamy-Chennakesavan. array, 27:100468, 2025. [doi]

Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and ClassificationSreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Abdul Hafeez-Baig, Ru San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya. access, 13:69500-69512, 2025. [doi]

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact PredictionSreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya. access, 13:96261-96276, 2025. [doi]

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based SystemBedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalçin, Serpil Aslan, Niranjana Sampathila, Özal Yildirim, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya. access, 13:122684-122697, 2025. [doi]

Automated language detection system using Raussendorf lattice pattern features with EEG signalsSengul Dogan, Turker Tuncer, Prabal Datta Barua, Ru San Tan, U. Rajendra Acharya. sivp, 19(17):1388, December 2025. [doi]

Arrhythmia detection in multi-channel ECG images: vision transformer and explainable approachesFatma Murat Duranay, Ender Murat, Oguzhan Katar, Yakup Demir, Ru San Tan, Özal Yildirim, U. Rajendra Acharya. kbs, 331:114889, 2025. [doi]

ConcatNeXt: An automated blood cell classification with a new deep convolutional neural networkMehmet Erten, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. mta, 84(20):22231-22249, June 2025. [doi]

FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical ThingsNikhil B. Gaikwad, Smith K. Khare, Dinesh Mendhe, Hasan Saeed Mir, Sokol Kosta, U. Rajendra Acharya. access, 13:134041-134056, 2025. [doi]

TQCPat: Tree Quantum Circuit Pattern-based Feature Engineering Model for Automated Arrhythmia Detection using PPG SignalsMehmet Ali Gelen, Turker Tuncer, Mehmet Baygin, Sengul Dogan, Prabal Datta Barua, Ru San Tan, U. Rajendra Acharya. jms, 49(1):38, December 2025. [doi]

Tensor-Based Weber Feature Representation of Brain CT Images for the Automated Classification of Ischemic StrokeMahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Ajay Hegde, U. Rajendra Acharya. imst, 35(5), 2025. [doi]

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke ClassificationMahesh 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. access, 13:46638-46658, 2025. [doi]

Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014-2024)Mahboobeh Jafari, Xiaohui Tao 0001, Prabal Datta Barua, Ru San Tan, U. Rajendra Acharya. inffus, 118:102982, 2025. [doi]

Current and future roles of artificial intelligence in retinopathy of prematurityAli 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. air, 58(6):188, June 2025. [doi]

Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunitiesKourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya. cbm, 195:110461, 2025. [doi]

BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of thingsAbdullah Ayub Khan, Jing Yang, Asif Ali Laghari, Abdullah M. Baqasah, Roobaea Alroobaea, Chin Soon Ku, Roohallah Alizadehsani, U. Rajendra Acharya, Lip Yee Por. eaai, 141:109838, 2025. [doi]

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic ReviewAli Kohan, Amir Zahedi, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya. widm, 15(3), 2025. [doi]

Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generationYintong Liu, U. Rajendra Acharya, Jen-Hong Tan. cmpb, 260:108571, 2025. [doi]

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG SignalsM. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya. access, 13:99122-99144, 2025. [doi]

A database of dentition images of Indian breed cattle and estimation of cattle's age using deep learning algorithmsChinmay Vijay Patil, Ankit A. Bhurane, Preeti Ghasad, Vipin Milind Kamble, Manish Sharma 0001, Anand Singh, Nareshkumar Nandeshwar, Ru San Tan, U. Rajendra Acharya. eaai, 162:112172, 2025. [doi]

Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcareMassimo Salvi, Silvia Seoni, Andrea Campagner, Arkadiusz Gertych, U. Rajendra Acharya, Filippo Molinari, Federico Cabitza. ijmi, 197:105846, 2025. [doi]

A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disordersAlen Shahini, Aditya Prabhakara Kamath, Ekta Sharma, Massimo Salvi, Ru San Tan, Siuly Siuly, Silvia Seoni, Rahul Ganguly, Aruna Devi, Ravinesh C. Deo, Prabal Datta Barua, U. Rajendra Acharya. inffus, 124:103441, 2025. [doi]

Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecastingThanveer Shaik, Xiaohui Tao 0001, Lin Li 0001, Haoran Xie 0001, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou. kbs, 326:113941, 2025. [doi]

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic ReviewSamiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Massimo Salvi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. widm, 15(2), June 2025. [doi]

Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG DataSiuly Siuly, Md. Nurul Ahad Tawhid, Yan Li 0002, U. Rajendra Acharya, Muhammad Tariq Sadiq, Hua Wang 0002. cogcom, 17(2):90, April 2025. [doi]

Automated Identification of Cyclic Alternating Patterns of Sleep Using Fusion of VGG16 and Vision TransformerHardik Telangore, Ashutosh Kumar Jha, Prithviraj Verma, Manish Sharma 0001, Chakka Sabareesh, Ankit A. Bhurane, Hasan Saeed Mir, U. Rajendra Acharya. access, 13:106652-106672, 2025. [doi]

PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent UnitsHardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma 0001, Hasan Saeed Mir, U. Rajendra Acharya. access, 13:145474-145493, 2025. [doi]

FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detectionIlknur Tuncer, Abdul Hafeez-Baig, Prabal Datta Barua, Rena Hajiyeva, Massimo Salvi, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya. bspc, 104:107538, 2025. [doi]

Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024)Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Saeed Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya. access, 13:5949-5973, 2025. [doi]

Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-trainingYi Xiang, U. Rajendra Acharya, Quan Le, Jen-Hong Tan, Chiaw-Ling Chng. frai, 8, 2025. [doi]

MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patternsSüleyman Yaman, Hasan Güler, Abdulkadir Sengür, Abdul Hafeez-Baig, U. Rajendra Acharya. bspc, 110:108221, 2025. [doi]

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)Süleyman Yaman, Özkan Aslan, Hasan Güler, Abdulkadir Sengür, Abdul Hafeez-Baig, Ru San Tan, Ravinesh C. Deo, Prabal Datta Barua, U. Rajendra Acharya. cmpb, 268:108858, 2025. [doi]

A dual-method approach using autoencoders and transductive learning for remaining useful life estimationJing Yang, Nika Anoosha Boroojeni, Mehran Kazemi Chahardeh, Lip Yee Por, Roohallah Alizadehsani, U. Rajendra Acharya. eaai, 147:110285, 2025. [doi]

2024

Sleep disorder identification using wavelet scattering on ECG signalsManish Sharma 0001, Harsh Lodhi, Rishita Yadav, U. Rajendra Acharya. imst, 34(1), January 2024. [doi]

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy featuresManish Sharma 0001, Ankit A. Bhurane, U. Rajendra Acharya. es, 41(5), May 2024. [doi]

Automated reading level classification model based on improved orbital patternRusul Qasim Abed, Melih Dikmen, Emrah Aydemir, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Edward J. Ciaccio, U. Rajendra Acharya. mta, 83(17):52819-52840, May 2024. [doi]

Retraction Note: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signalsU. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan, Shu Lih Oh, Muhammad Adam, Joel E. W. Koh, Jen-Hong Tan, Chua Kuang Chua, Chua Kok Poo, Ru San Tan. nca, 36(19):11677, July 2024. [doi]

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selectionBehrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya. asc, 151:111141, January 2024. [doi]

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya. cmpb, 254:108253, 2024. [doi]

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound ImagesTanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya. access, 12:73970-73979, 2024. [doi]

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniquesAnirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira. eswa, 255:124665, 2024. [doi]

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity MapsSara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru San Tan, U. Rajendra Acharya. access, 12:50949-50965, 2024. [doi]

N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signalsPrabal Datta Barua, Turker Tuncer, Mehmet Baygin, Sengul Dogan, U. Rajendra Acharya. kbs, 304:112510, 2024. [doi]

Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough soundsPrabal Datta Barua, Tugce Keles, Mutlu Kuluozturk, Mehmet Ali Kobat, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. nca, 36(27):16857-16871, September 2024. [doi]

Novel automated detection of sports activities using shadow videosPrabal Datta Barua, Turker Tuncer, Sengul Dogan, Chui Ping Ooi, U. Rajendra Acharya. mta, 83(15):44933-44954, May 2024. [doi]

Automated anxiety detection using probabilistic binary pattern with ECG signalsMehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen-Hong Tan, Sonja March, Ru San Tan, Filippo Molinari, U. Rajendra Acharya. cmpb, 247:108076, 2024. [doi]

Retraction Note: A novel approach for automated detection of focal EEG signals using empirical wavelet transformAbhijit Bhattacharyya, Manish Sharma 0001, Ram Bilas Pachori, Pradip Sircar, U. Rajendra Acharya. nca, 36(19):11697, July 2024. [doi]

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus imagesDipankar Das, Deepak Ranjan Nayak, Sulatha V. Bhandary, U. Rajendra Acharya. eaai, 133:108454, 2024. [doi]

MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201Fahrettin Burak Demir, Mehmet Baygin, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Chui Ping Ooi, Edward J. Ciaccio, U. Rajendra Acharya. mta, 83(30):75061-75083, September 2024. [doi]

Automated EEG-based language detection using directed quantum pattern techniqueSengul Dogan, Turker Tuncer, Prabal Datta Barua, U. Rajendra Acharya. asc, 167:112301, 2024. [doi]

An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signalsSengul Dogan, Prabal Datta Barua, Turker Tuncer, U. Rajendra Acharya. eaai, 133:108306, 2024. [doi]

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signalsEl-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, Ru San Tan, U. Rajendra Acharya. eswa, 239:122388, 2024. [doi]

Novel tiny textural motif pattern-based RNA virus protein sequence classification modelMehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya. eswa, 242:122781, 2024. [doi]

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image spaceMaryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, Oliver Faust, Prabal Datta Barua, Chegeni Hossein, U. Rajendra Acharya. cmpb, 243:107880, January 2024. [doi]

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound ImagesAnjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, Mahesh Anil Inamdar, Mukund A. Prabhu, U. Rajendra Acharya. access, 12:3659-3671, 2024. [doi]

Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic ReviewAnjan 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. access, 12:138399-138428, 2024. [doi]

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023)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. cbm, 172:108207, 2024. [doi]

Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023)Saad Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, Ping Yu 0004, U. Rajendra Acharya. access, 12:176630-176685, 2024. [doi]

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification ModelXiaopeng Ji, Yan Li 0002, Peng Wen, Prabal Datta Barua, U. Rajendra Acharya. cmpb, 244:107992, 2024. [doi]

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challengesJavad 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. mta, 83(26):67953-67996, August 2024. [doi]

Transfer learning with spinally shared layersHussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya. asc, 163:111908, 2024. [doi]

Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendationsSmith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya. inffus, 102:102019, February 2024. [doi]

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough soundsMehmet 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. eaai, 127(Part A):107184, January 2024. [doi]

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signalsSerkan 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. kbs, 300:112150, 2024. [doi]

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selectionMehmet Ali Kobat, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Tarik Kivrak, Yusuf Akin, Giliyar Muralidhar Bairy, Ru San Tan, U. Rajendra Acharya. mta, 83(12):35957-35977, April 2024. [doi]

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration frameworkElham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui. inffus, 108:102412, 2024. [doi]

Application of TQWT based filter-bank for sleep apnea screening using ECG signalsAnurag Nishad, Ram Bilas Pachori, U. Rajendra Acharya. jaihc, 15(1):893-904, January 2024. [doi]

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image SegmentationYagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya, Hasan Saeed Mir. access, 12:840-867, 2024. [doi]

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic ReviewDilek Ozkan, Oguzhan Katar, Murat Ak, Mugahed A. Al-antari, Nehir Yasan-Ak, Özal Yildirim, Hasan S. Mir, Ru San Tan, U. Rajendra Acharya. access, 12:127879-127902, 2024. [doi]

An automated earthquake classification model based on a new butterfly pattern using seismic signalsSuat Gokhan Ozkaya, Mehmet Baygin, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Subrata Chakraborty, U. Rajendra Acharya. eswa, 238(Part E):122079, March 2024. [doi]

Retraction Note: Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound imagesU. Raghavendra, U. Rajendra Acharya, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, Chaithra Nayak. nca, 36(18):11021, 2024. [doi]

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathologyMassimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari. asc, 165:112081, 2024. [doi]

Multi-modality approaches for medical support systems: A systematic review of the last decadeMassimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya. inffus, 103:102134, March 2024. [doi]

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023)Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru San Tan, Prabal Datta Barua, Salvador García 0001, Filippo Molinari, U. Rajendra Acharya. widm, 14(3), 2024. [doi]

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological imagesPradipta 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. isci, 658:120033, February 2024. [doi]

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systemsSilvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi. cmpb, 250:108200, 2024. [doi]

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signalsSilvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi. isci, 665:120383, 2024. [doi]

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approachDanial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti. bspc, 96:106594, 2024. [doi]

Automated accurate insomnia detection system using wavelet scattering method using ECG signalsNishant Sharma, Manish Sharma 0001, Hardik Telangore, U. Rajendra Acharya. apin, 54(4):3464-3481, 2024. [doi]

Automated schizophrenia detection model using blood sample scattergram images and local binary patternBurak Tasci, Gulay Tasci, Hakan Ayyildiz, Aditya P. Kamath, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, Subrata Chakraborty, U. Rajendra Acharya. mta, 83(14):42735-42763, April 2024. [doi]

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection systemSinan Tatli, Gulay Macin, Irem Tasci, Burak Tasci, Prabal Datta Barua, Mehmet Baygin, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, U. Rajendra Acharya. eswa, 236:121314, February 2024. [doi]

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 modelsHardik Telangore, Victor Azad, Manish Sharma 0001, Ankit A. Bhurane, Ru San Tan, U. Rajendra Acharya. cmpb, 257:108455, 2024. [doi]

FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speechTurker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Elizabeth Emma Palmer, Sonja March, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya. cbm, 173:108280, 2024. [doi]

Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classificationTurker Tuncer, Sengul Dogan, Mehmet Baygin, Irem Tasci, Bulent Mungen, Burak Tasci, Prabal Datta Barua, U. Rajendra Acharya. kbs, 305:112555, 2024. [doi]

A lightweight deep convolutional neural network model for skin cancer image classificationTurker Tuncer, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, U. Rajendra Acharya. asc, 162:111794, 2024. [doi]

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023)Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya. cmpb, 244:107932, 2024. [doi]

RECOMED: A comprehensive pharmaceutical recommendation systemMariam Zomorodi, Ismail Ghodsollahee, Jennifer H. Martin, Nicholas J. Talley, Vahid Salari, Pawel Plawiak, Kazem Rahimi, U. Rajendra Acharya. artmed, 157:102981, 2024. [doi]

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