Current - Issue

1. Xue, X., Viswapriya, S.E., Rajeswari, D. et al. An efficient deep learning network for brain stroke detection using salp shuffled shepherded
optimization. Sci Rep 15, 33516 (2025). https://doi.org/10.1038/s41598-025-17725-4
2. Qari S, Thafar MA. Brain Stroke Classification Using CT Scans with Transformer-Based Models and Explainable AI. Diagnostics (Basel).
2025 Sep 29;15(19):2486. doi: 10.3390/diagnostics15192486. PMID: 41095707; PMCID: PMC12523697.
3. Priyadharshini M, Murugesh V, Mahesh TR, Albalawi E, Saidani O, Algarni A. QBrainNet: harnessing enhanced quantum intelligence for
advanced brain stroke prediction from medical imaging. Front Med (Lausanne). 2025 Oct 23;12:1677234. doi: 10.3389/fmed.2025.1677234.
PMID: 41210857; PMCID: PMC12589079.
4. Esther Joice, et al. (2025). Brain stroke detection using deep learning: Comprehensive analysis of CNN architectures. Journal of Information
Systems Engineering and Management, 6(3), 1-22
5. 2023. Prediction of Brain Stroke using Machine Learning Algorithms and Deep Neural Network Techniques. European Journal of Electrical
Engineering and Computer Science. 7, 1 (Jan. 2023), 23–30. DOI:https://doi.org/10.24018/ejece.2023.7.1.483.
6. Fernandes JND, Cardoso VEM, Comesaña-Campos A, Pinheira A. Comprehensive Review: Machine and Deep Learning in Brain Stroke
Diagnosis. Sensors (Basel). 2024 Jul 4;24(13):4355. doi: 10.3390/s24134355. PMID: 39001134; PMCID: PMC11244385.
7. Gondrala, Manasa Priya Mounika et al. “A Comparative Analysis of EfficientNet B0 and ResNet-50 for Brain Stroke Detection.” 2024 15th
International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024): 1-6.
8. Adablanu, Selorm & Barman, Utpal & Das, Dulumani. (2025). Advancing deep learning for automated stroke detection: a review. Brain
Hemorrhages. 6. 10.1016/j.hest.2025.07.002.
9. Polamuri, S. R. (2024). Stroke detection in the brain using MRI and deep learning models. Multimedia Tools and Applications, 84(12), 10489–
10506. https://doi.org/10.1007/s11042-024-19318-1
10. Thakre, G., Raut, R., Puri, C., & Verma, P. (2025). A hybrid deep learning approach for improved detection and prediction of brain stroke.
Applied Sciences, 15(9), 4639. https://doi.org/10.3390/app15094639
11. Franklin Akwasi Adjei. Enhancing stroke diagnosis and detection through Artificial Intelligence. World Journal of Advanced Research and
Reviews, 2025, 27(01), 1039-1049. Article DOI: https://doi.org/10.30574/wjarr.2025.27.1.2609.
12. Singh, M.S., Thongam, K., Choudhary, P. et al. Stroke Risk Prediction and Prevention: Traditional versus Machine Learning Approaches.
Arch Computat Methods Eng (2025). https://doi.org/10.1007/s11831-025-10406-5
13. Kousar, T., Rahim, M.S.M., Iqbal, S. et al. Applications of deep learning algorithms in ischemic stroke detection, segmentation, and
classification. Artif Intell Rev 58, 149 (2025). https://doi.org/10.1007/s10462-025-11119-8
14. Mohamed, A.M., Amer, H.M., Rabie, A.H. et al. Real-time monitoring system for early stroke detection based on fog computing and enhanced
deep learning techniques. Sci Rep 15, 44671 (2025). https://doi.org/10.1038/s41598-025-28513-5
15. O. Kshnika, S. Gunasekar, G. Babu and M. N. Harish, "Automated Deep Learning System for Early Detection of Stroke Using CNN
Architecture," 2025 Eleventh International Conference on Bio Signals, Images, and Instrumentation (ICBSII), Chennai, India, 2025, pp. 1-8,
doi: 10.1109/ICBSII65145.2025.11013615.