4003. Biomedical engineering
| Title | 4003. Biomedical engineering |
|---|---|
| Parent | 40. Engineering |
Latest research outputs
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Engineering Approaches for Exosome Cargo Loading and Targeted Delivery: Biological versus Chemical Perspectives
Ahmed, Waqas, Mushtaq, Asim, Ali, Shahzad, Khan, Nawaz, Liang, Yujie and Duan, Li. 2024. "Engineering Approaches for Exosome Cargo Loading and Targeted Delivery: Biological versus Chemical Perspectives." ACS Biomaterials Science and Engineering. https://doi.org/10.1021/acsbiomaterials.4c00856Article
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
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease
Siuly, Siuly, Alcin, Ömer Faruk, Wang, Hua, Li, Yan and Wen, Peng. 2024. "Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease ." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (2), pp. 1609-1623. https://doi.org/10.1109/TETCI.2024.3353610Article
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2024. "3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network." Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105815Article
Automated detection of depression using wavelet scattering networks
Sharma, Nishant, Sharma, Manish, Tailor, Jimit, Chaudhari, Arth, Joshi, Deepak and Acharya, U Rajendra. 2024. "Automated detection of depression using wavelet scattering networks." Medical Engineering and Physics. 124. https://doi.org/10.1016/j.medengphy.2024.104107Article
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
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Salvi, Massimo, Acharya, Madhav R., Seoni, Silvia, Faust, Oliver, Tan, Ru-San, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra Acharya. 2024. "Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)." WIREs Data Mining and Knowledge Discovery. 14 (3). https://doi.org/10.1002/widm.1530Article
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
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Roshanzamir, Mohamad, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Sep 2023 Switzerland . https://doi.org/10.1007/978-3-031-50320-7_1Paper
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges
Joloudari, Javad Hassannataj, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Kabir, H. M. Dipu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges ." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-18123-0Article
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
MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201
Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-18416-4Article
Developing a personal decision support tool for hospital capacity assessment and querying
Burdett, Robert L., Corry, Paul, Cook, David and Yarlagadda, Prasad. 2024. "Developing a personal decision support tool for hospital capacity assessment and querying." Expert Systems with Applications. 248. https://doi.org/10.1016/j.eswa.2024.123367Article
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
Influence of Low-Frequency Vibration and Skin Strain on Insertion Mechanics and Drug Diffusion of PVA/PVP Dissolving Microneedles
Ebrahiminejad, Vahid, Malek-Khatabi, Atefeh and Faraji Rad, Zahra. 2024. "Influence of Low-Frequency Vibration and Skin Strain on Insertion Mechanics and Drug Diffusion of PVA/PVP Dissolving Microneedles." Advanced Materials Technologies. 9 (4). https://doi.org/10.1002/admt.202301272Article
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. 2024. "Automated schizophrenia detection model using blood sample scattergram images and local binary pattern." Multimedia Tools and Applications. 83 (14), p. 42735–42763. https://doi.org/10.1007/s11042-023-16676-0Article
The efficacy of utility functions for multicriteria hospital case-mix planning
Burdett, Robert L., Corry, Paul, Yarlagadda, Prasad, Cook, David and Birgan, Sean. 2024. "The efficacy of utility functions for multicriteria hospital case-mix planning." International Transactions in Operational Research. 31 (2), pp. 807-862. https://doi.org/10.1111/itor.13372Article
Novel automated detection of sports activities using shadow videos
Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2024. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. 83 (15), pp. 44933-44954. 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. 2024. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. 83 (13), pp. 39823-39840. https://doi.org/10.1007/s11042-023-17057-3Article
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
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features
Sharma, Manish, Bhurane,Ankit A. and Acharya, U. Rajendra. 2024. "An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12939Article
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
Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique
Aksalli, Isil Karabey, Baygin, Nursena, Hagiwara, Yuki, Paul, Jose Kunnel, Iype, Thomas, Barua, Prabal Datta, Koh, Joel E. W., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2024. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. 18 (1), pp. 283-404. https://doi.org/10.1007/s11571-023-10005-9Article
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694Article
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
Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566Article
Improving Infection Resistance in Tissue Engineered Scaffolds for Tensile Applications Using Vancomycin-Embedded Melt Electrowritten Scaffolds
Mathew, Asha, Devlin, Brenna L., Singh, Dilpreet, Paxton, Naomi C. and Woodruff, Maria A.. 2023. "Improving Infection Resistance in Tissue Engineered Scaffolds for Tensile Applications Using Vancomycin-Embedded Melt Electrowritten Scaffolds." Macromolecular Materials and Engineering. 308 (10). https://doi.org/10.1002/mame.202300168Article
Progress in Nanostructured Mechano-Bactericidal Polymeric Surfaces for Biomedical Applications
Kumara, S. P. S. N. Buddhika Sampath, Senevirathne, S. W. M. Amal Ishantha, Mathew, Asha, Bray, Laura, Mirkhalaf, Mohammad and Yarlagadda, Prasad K.D.V.. 2023. "Progress in Nanostructured Mechano-Bactericidal Polymeric Surfaces for Biomedical Applications." Nanomaterials. 13 (20). https://doi.org/10.3390/nano13202799Article
Preferential adhesion of bacterial cells onto top- and bottom-mounted nanostructured surfaces under flow conditions
Senevirathne, S. W. M. A. Ishantha, Mathew, Asha, Toh, Yi Chin and Yarlagadda, Prasad K. D. V.. 2023. "Preferential adhesion of bacterial cells onto top- and bottom-mounted nanostructured surfaces under flow conditions." Nanoscale Advances. 5 (23). https://doi.org/10.1039/d3na00581jArticle
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
An Empirical Model for Predicting the Fresh Food Quality Changes during Storage
Sanad Alsbu, Reham Abdullah, Yarlagadda, Prasad and Karim, Azharul. 2023. "An Empirical Model for Predicting the Fresh Food Quality Changes during Storage." Foods. 12 (11). https://doi.org/10.3390/foods12112113Article
Cooperative stiffening of flexible high aspect ratio nanostructures impart mechanobactericidal activity to soft substrates
Roy, Anindo, Patil, Deepak, Yarlagadda, Prasad K.D.V. and Chatterjee, Kaushik. 2023. "Cooperative stiffening of flexible high aspect ratio nanostructures impart mechanobactericidal activity to soft substrates." Journal of Colloid and Interface Science. 652 (Part B), pp. 2127-2138. https://doi.org/10.1016/j.jcis.2023.09.021Article
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. 83 (12), pp. 35957-35977. https://doi.org/10.1007/s11042-023-16697-9Article