400306. Computational physiology
| Title | 400306. Computational physiology |
|---|---|
| Parent | 4003. Biomedical engineering |
Latest research outputs
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An automatic method using MFCC features for sleep stage classification
Pei, Wei, Li, Yan, Wen, PPeng, Yang, Fuwen and Ji, Xiaopeng. 2024. "An automatic method using MFCC features for sleep stage classification." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00219-wArticle
Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals
Tasci, Irem, Baygin, Mehmet, Barua, Prabal Datta, Hafeez-Baig, Abdul, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-024-10078-0Article
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals
Seoni, Silvia, Molinari, Filippo, Acharya, U. Rajendra, Oh, Oh Shu, Barua, Prabal Datta, García, Salvador and Salvi, Massimo. 2024. "Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals." Information Sciences. 665. https://doi.org/10.1016/j.ins.2024.120383Article
Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images
Sasmal, Pradipta, Sharma, Vanshali, Allam, Allam Jaya, Bhuyan, M.K., Patro, Kiran Kumar, Samee, Nagwan Abdel, Alamro, Hayam, Iwahori, Yuji, Tadeusiewicz, Ryszard, Acharya, U. Rajendra and Pławiak, Paweł. 2024. "Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images." Information Sciences. 658. https://doi.org/10.1016/j.ins.2023.120033Article
What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Roshanzamir, Mohamad, Jafari, Mahboobeh, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." Information Systems Frontiers: a journal of research and innovation. https://doi.org/10.1007/s10796-023-10466-7Article
Novel tiny textural motif pattern-based RNA virus protein sequence classification model
Erten, Mehmet, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2024. "Novel tiny textural motif pattern-based RNA virus protein sequence classification model." Expert Systems with Applications. 242. https://doi.org/10.1016/j.eswa.2023.122781Article
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection
Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Aghaei, Leyla, Mirjalili, Seyedali, Khosravi, Abbas, García, Salvador, Karray, Fakhri and Acharya, U. Rajendra. 2024. "Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection." Applied Soft Computing. 151. https://doi.org/10.1016/j.asoc.2023.111141Article
AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies
Ardakani, Ali Abbasian, Mohammadi, Afshin, Vogl, Thomas J., Kuzan, Taha Yusuf and Acharya, U Rajendra. 2024. "AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies." Journal of Clinical Ultrasound. 52 (2), pp. 131-143. https://doi.org/10.1002/jcu.23607Article
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model
Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992Article
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121314Article
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Khare, Smith K., Blanes-Vidal, Victoria, Nadimi, Esmaeil S. and Acharya, U. Rajendra. 2024. "Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102019Article
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2024. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. 18 (1), pp. 1-22. https://doi.org/10.1007/s11571-022-09904-0Article
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Tasci, Burak, Tasci, Gulay, Ayyildiz, Hakan, Kamath, Aditya P., Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J., Chakraborty, Subrata . and Acharya, U. Rajendra. 2023. "Automated schizophrenia detection model using blood sample scattergram images and local binary pattern." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-16676-0Article
A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation
Sathi, Nusrat, Shahid, Zakia, Chowdhury, Fahim, Ahmed, Sajjad, Parvez, Mohammad Zavid, Barua, Prabal Datta and Chakraborty, Subrata. 2023. "A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation." 2023 International Conference on Advances in Computing Research (ACR’23). Orlando, United States 08 - 10 May 2023 Switzerland. https://doi.org/10.1007/978-3-031-33743-7_18Paper
FF-BTP Model for Novel Sound-Based Community Emotion Detection
Yildiz, Arif Metehan, Tanabe, Masayuki, Kobayashi, Makiko, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FF-BTP Model for Novel Sound-Based Community Emotion Detection." IEEE Access. 11, pp. 108705-108715. https://doi.org/10.1109/ACCESS.2023.3318751Article
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Seoni, Silvia, Jahmunah, Vicnesh, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2023. "Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107441Article
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
Oei, Chien Wei, Ng, Eddie Yin Kwee, Shan, Matthew Hok, Tan, Ru-San, Chan, Yam Meng, Chan, Lai Gwen and Acharya, Udyavara Rajendra. 2023. "Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients." Sensors. 23 (18). https://doi.org/10.3390/s23187946Article
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection
Kobat, Mehmet Ali, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Kivrak, Tarik, Akin, Yusuf, Bairy, G. Muralidhar, Tan, Ru‑San and Acharya, U. Rajendra. 2023. "Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-16697-9Article
Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination
Khorshidi, Hamid, Mohammadi, Afshin, Yousem, David M., Abolghasemi, Jamileh, Ansari, Golnoosh, Mirza-Aghazadeh-Attari, Mohammad, Acharya, U Rajendra and Ardakani, Ali Abbasian. 2023. "Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination." Informatics in Medicine Unlocked. 41. https://doi.org/10.1016/j.imu.2023.101314Article
Novel automated detection of sports activities using shadow videos
Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2023. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17407-1Article
ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images
Barua, Prabal Datta, Kirik, Serkan, Dogan, Sengul, Koc, Canan, Ozkaynak, Fatih, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17057-3Article
Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal
Barua, Prabal Datta, Kobayashi, Makiko, Tanabe, Masayuki, Baygin, Mehmet, Paul, Jose Kunnel, Iype, Thomas, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal." IEEE Access. 11, pp. 101359-101372. https://doi.org/10.1109/ACCESS.2023.3315149Article
A novel tree pattern-based violence detection model using audio signals
Yildiz, Arif Metehan, Barua, Prabal D., Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ooi, Chui Ping, Fujita, Hamido and Acharya, U. Rajendra. 2023. "A novel tree pattern-based violence detection model using audio signals." Expert Systems with Applications. 224. https://doi.org/10.1016/j.eswa.2023.120031Article
Application of novel DIRF feature selection algorithm for automated brain disease detection
Yaman, Süleyman, Ünlü, Elif Işılay, Güler, Hasan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "Application of novel DIRF feature selection algorithm for automated brain disease detection." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.105006Article
Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)
Yaacob, Hamwira, Hossain, Farhad, Shari, Sharunizam, Khare, Smith K., Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)." IEEE Access. 11, pp. 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382Article
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)
Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746Article
Multi-objective squirrel search algorithm for EEG feature selection
Wang, Chao, Li, Songjie, Shi, Miao, Zhao, Jie, Wen, Tao Wen, Acharya, U. Rajendra, Xie, Neng-gang and Cheong, Kang Hao. 2023. "Multi-objective squirrel search algorithm for EEG feature selection." Journal of Computational Science. 73. https://doi.org/10.1016/j.jocs.2023.102140Article
Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids
Tripathi, Aditya, Kumar, Preetham, Tulsani, Akshat, Chakrapani, Pavithra Kodiyalbail, Maiya, Geetha, Bhandary, Sulatha V., Mayya, Veena, Pathan, Sameena, Achar, Raghavendra and Acharya, U. Rajendra. 2023. "Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids." Diagnostics. 13 (15). https://doi.org/10.3390/diagnostics13152550Article
Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds
Topaloglu, Ihsan, Barua, Prabal Datta, Yildiz, Arif Metehan, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Gul, Huseyin Fatih, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds." Engineering Applications of Artificial Intelligence. 126. https://doi.org/10.1016/j.engappai.2023.106887Article
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
Tasci, Irem, Tasci, Burak, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Emmanuel, Elizabeth Emma, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals." Information Fusion. 96, pp. 252-268. https://doi.org/10.1016/j.inffus.2023.03.022Article
Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals
Tasci, Gulay, Loh, Hui Wen, Barua, Prabal Datta, Baygin, Mehmet, Tasci, Burak, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals." Knowledge-Based Systems. 260. https://doi.org/10.1016/j.knosys.2022.110190Article
QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals
Tasci, Gulay, Gun, Mehmet Veysel, Keles, Tugce, Tasci, Burak Tasci, Barua, Prabal Datta, Tasci, Irem, Dogan, Sengul, Baygin, Mehmet, Palmer, Elizabeth Emma, Tuncer, Turker, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals." Chaos, Solitons and Fractals. 172. https://doi.org/10.1016/j.chaos.2023.113472Article
Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images
Sut, Suat Kamil, Koc, Mustafa, Zorlu, Gokhan, Serhatlioglu, Ihsan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru‑San and Acharya, U. Rajendra. 2023. "Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images." Journal of Digital Imaging. 36 (3), pp. 879-892. https://doi.org/10.1007/s10278-022-00759-9Article
Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771Article
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6Article
Automated detection of scaphoid fractures using deep neural networks in radiographs
Singh, Amanpreet, Ardakani, Ali Abbasian, Loh, Hui Wen, Anamika, P.V., Acharya, U. Rajendra, Kamath, Sidharth and Bhat, Anil K.. 2023. "Automated detection of scaphoid fractures using deep neural networks in radiographs." Engineering Applications of Artificial Intelligence. 122. https://doi.org/10.1016/j.engappai.2023.106165Article
NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Shuvo, Samiul Based, Alam, Syed Samiul, Ayman, Syeda Umme, Chakma, Arbil, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals." Biomedical Signal Processing and Control. 86 (Part C). https://doi.org/10.1016/j.bspc.2023.105272Article
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Ling, Sai Ho, Khosravi, Abbas, Alinejad-Rokny, Hamid, Lam, H.K., Fuller-Tyszkiewicz, Matthew D., Acharya, U. Rajendra, Anderson, Donovan, Zhang, Yudong and Gorriz, Juan Manuel. 2023. "Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review." Information Fusion. 93, pp. 85-117. https://doi.org/10.1016/j.inffus.2022.12.010Article
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali and Acharya, U. Rajendra. 2023. "Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression." Cognitive Neurodynamics. 17 (6), p. 1501–152. https://doi.org/10.1007/s11571-022-09897-wArticle
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)
Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536Article