Items where Author is "Bannah, Hasanul"
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Article
Bannah, Hasanul and Ahmad Fauzi, Mohammad Faizal and Mansor, Sarina and Nabi, Md Serajun and Hossen, Md Sabbir and Chiew, Seow Fan and Cheah, Phaik Leng and Looi, Lai Meng (2026) AI-Driven Breast Cancer Nuclei Segmentation, Classification, and Scoring in PR-IHC Images. Diagnostics, 16 (9). p. 1295. ISSN 2075-4418
Hossen, Md. Jakir and Bannah, Hasanul and Sadib, Ridwan Jamal (2026) Early detection of chronic kidney disease using deep learning: a Mini review. Frontiers in Digital Health, 7. ISSN 2673-253X
Hossen, Md Jakir and Haque, B. M. Taslimul and Bannah, Hasanul and Rahman, Md Arifur and Ahmed, Abir and Noman, Abdullah Al (2026) Explainable AI in kidney stone detection and segmentation: a mini review. Frontiers in Digital Health, 8. ISSN 2673-253X
Nabi, Md Serajun and Tun, Su Waddy and Alam, Shahaba and Abdullahi, Muhammad Kabir and Bannah, Hasanul and Santo, Istiyak Amin and Wadood, Arbab Sufyan and Md Mohiuddin, Golam and Rehman, Zaka Ur and Abdul Karim, Hezerul (2026) KDH-Net: Explainable Medical AI for Multiclass Kidney Disease Characterization from CT Images. Journal of Clinical Medicine, 15 (8). p. 3165. ISSN 2077-0383
Hossen, Md Sabbir and Sarker, Md Tanjil and Nabi, Md Serajun and Bannah, Hasanul and Ramasamy, Gobbi and Ngu, Eng Eng (2025) Federated AI-OCPP Framework for Secure and Scalable EV Charging in Smart Cities. Urban Science, 9 (9). p. 363. ISSN 2413-8851
Conference or Workshop Item
Nabi, Md Serajun and Islam, Sumiya and Ahmad Fauzi, Mohammad Faizal and Bannah, Hasanul and Mohiuddin, Golam Md and Abdullahi, Muhammad Kabir (2025) Adaptive Learning for Elementary Students Using AI to Support Individual Learning Styles. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.
Bannah, Hasanul and Ahmad Fauzi, Mohammad Faizal and Mansor, Sarina and Khan, Md. Shoukhin and Halimatul Munirah Wan Ahmad, Wan Siti and Wan Ahmad, Munirah and Nabi, Md Serajun and Chiew, Seow Fan and Cheah, Phaik Leng and Looi, Lai Meng (2025) Automated Nuclei Segmentation in PR-IHC Breast Cancer Images Using the Cellpose Deep Learning Model. In: 2025 IEEE Region 10 Conference, TENCON 2025, 27 October 2025 - 30 October 2025, Kota Kinabalu, Malaysia.
Bannah, Hasanul and Ahmad Fauzi, Mohammad Faizal and Mansor, Sarina and Nabi, Md Serajun and Ur Rehman, Zaka and Looi, Lai Meng (2025) Breast cancer nuclei segmentation in ER-IHC images using deep Learning. In: 2024 Multimedia University Engineering Conference (MECON), 23-25 July 2024, Cyberjaya, Malaysia.
Bannah, Hasanul and Fauzi, Mohammad Faizal Ahmad and Mansor, Sarina and Nabi, Md Serajun and Hossen, Md. Sabbir and Santo, Istiyak Amin and Chiew, Seow Fan and Looi, Lai Meng (2025) Real-Time Nuclei Classification and Allred Scoring in PR-IHC Stained Breast Cancer Histopathology Images. In: 2025 9th International Conference on Information Technology (InCIT), 12-14 November 2025, Phuket, Thailand.
Santo, Istiyak Amin and Lim, Siow Chun and Nabi, Md Serajun and Hossen, Md Sabbir and Bannah, Hasanul and Kabir, Fardin (2025) Travelling Salesman Problem in the Classical to Quantum Era: A Comparative Review of Algorithms and Computational Complexity. In: https://ieeexplore.ieee.org/xpl/conhome/11275886/proceeding, 12-14 November 2025, Phuket, Thailand.
Bari, Ahsanul and Al Farid, Fahmid and Sarker, Md. Tanjil and Mansor, Sarina and Abdul Karim, Hezerul and Bhuiyan, Md Roman and Bannah, Hasanul (2024) Advancements in Multi-View Human Activity Recognition for Ambient Assisted Living. In: 2024 Multimedia University Engineering Conference (MECON), 23-25 July 2024, Cyberjaya, Malaysia.
Bari, Ahsanul and Al Farid, Fahmid and Sarker, Md. Tanjil and Mansor, Sarina and Abdul Karim, Hezerul and Bhuiyan, Md Roman and Bannah, Hasanul (2024) Lightweight Deep Learning for Human Activity Recognition in Ambient Assisted Living. In: 2024 Multimedia University Engineering Conference (MECON), 23-25 July 2024, Cyberjaya, Malaysia.
Thesis
Bannah, Hasanul (2026) Breast cancer nuclei segmentation and classification in histopathology images using deep learning. Masters thesis, Multimedia University.
