Prof. Abbas H. Hassin Alasadi
University of Basrah, Iraq
Email: [email protected]
Qualifications
2000-2003 Ph.D., Harbin Institute of Technology, China
1996-1998 M.S., University of Basrah, Iraq
Publications (Selected)
-
Al-Asadi, A. H. H., & Muter, M. A. (2026). Palm leaf disease detection and classification using deep learning with stable diffusion-based data augmentation. Sohar University Journal of Engineering and Information Technology.
-
Hussien, Z. M., & Al-Asadi, A. H. H. (2026). Denoising of medical images: A GAN-based approach for multi-type noise and modalities. NED University Journal of Research, 23(2).
-
Muter, M. A., & Al-Asadi, A. H. H. (2025). Deep learning technique for early diagnosis of date palm pests: A review. Basrah Journal of Agricultural Sciences, 38(2), 570–585.
-
Abdulkareem, A., & Hassin, A. (2025). Hardware and software approaches to fingerprint liveness detection: A comparative review. Applied Computing Journal, 423–438.
-
Naser, M. A. U., & Al-Asadi, A. H. H. (2025). Image denoising using generative adversarial network by recursive residual group. Journal of Robotics and Control (JRC), 6(2), 514–526.
-
Salman, M. S., Hanoon, F. S., & Al-Asadi, A. H. H. (2025). An innovative diagnostic method for diagnosing COVID-19 infections. International Journal of Multidisciplinary Sciences and Advanced Technology.
-
Naser, M. A. U., & Al-Asadi, A. H. H. (2024). Contrast-enhanced cardiac magnetic resonance image based on enhanced deep residual networks modified. 2024 5th International Conference on Communications, Information, Electronic.
-
Naser, M. A. U., & Al-Asadi, A. H. H. (2024). Contrast-Enhanced Cardiac Magnetic Resonance Image Based on Enhanced Deep Residual Networks Modified. 2024 5th International Conference on Communications, 55.
-
Hussien, Z. M., & Al-Asadi, A. H. H. (2024). Deep generative adversarial networks for noise reduction in medical images: A review. Journal of Education and Science, 33(3), 24–34.
-
Murad, B. K., & Alasadi, A. H. H. (2024). Advancements and challenges in hand gesture recognition: A comprehensive review. Iraqi Journal for Electrical and Electronic Engineering, 20(2), 154–164.
-
Najim, M. H., Abdulateef, S. K., & Alasadi, A. H. (2024). Early detection of tomato leaf diseases based on deep learning techniques. Int J Artif Intell, 13(1), 509–515.
-
Hussien, M. A., & Alasadi, A. H. H. (2024). Classification of melanoma skin cancer using deep learning approach. TELKOMNIKA (Telecommunication Computing Electronics and Control), 22(1), 129–137.
-
Naser, M. A. U., & Al-Asadi, A. H. H. (2023). Hybrid residual blocks-transformers improving cardiac MRI segmentation in deep learning. 2023 4th International Conference on Communications, Information, Electronic.
-
Naser, M. A. U., & Al-Asadi, A. H. H. (2023). Cardiac magnetic resonance imaging focus generative adversarial network segmentation. Journal of Al-Qadisiyah for Computer Science and Mathematics, 15(3).
-
Hussien, M. A., & Alasadi, A. H. (2023). A review of skin cancer detection: Traditional and deep learning-based techniques. Journal of University of Babylon for Pure and Applied Sciences, 31(2), 253–262.
-
Srivastava, D., Sharma, N., & Sinwar, D., et al. (2023). Intelligent Internet of Things for Smart Healthcare Systems. CRC Press.
-
Alasadi, A. H. H., & Hanoon, F. S. (2023). Deep learning approach. Intelligent Internet of Things for Smart Healthcare Systems, 175.
-
Al-Asadi, H. H., & Naser, M. A. U. (2023). Hybrid residual blocks - transformers improving cardiac MRI segmentation in deep learning. 2023 4th International Conference on Communications, Information, Electronic.
-
Khallaf, H. D., & Alasadi, A. H. (2022). Handwritten signature forgery verification using convolutional neural networks. Neuroquantology, 20(11), 770–780.
-
Hanoon, F. S., & Alasadi, A. H. H. (2022). A modified residual network for detection and classification of Alzheimer’s disease. International Journal of Electrical and Computer Engineering (IJECE), 12(4).
-
Hussien, M. A., & Alasadi, A. H. (2022). Ecommerce based on Cloud Computing: The Art of State.
-
Khallaf, H. D., & Alasadi, A. H. (2022). Detection of image tempering: Conventional and deep learning-based techniques. Journal of Education for Pure Science-University of Thi-Qar, 12(2), 162–171.
Profile Details:
https://faculty.uobasrah.edu.iq/en/faculty/1593/publications
https://scholar.google.com/citations?user=BN-lRR8AAAAJ&hl=en
https://www.researchgate.net/scientific-contributions/Abbas-H-Hassin-Al-Asadi-2356282977
WOS ResearcherID: M-3615-2016