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ORCIDAmgad Muneer
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2020 – today
- 2026
[j18]Amgad Muneer
, Muhammad Waqas, Maliazurina B. Saad, Eman Showkatian, Rukhmini Bandyopadhyay, Hui Xu, Wentao Li, Joe Y. Chang, Zhongxing Liao, Cara Haymaker, Luisa Solis-Soto, Carol C. Wu, Natalie I. Vokes, Xiuning Le, Lauren A. Byers, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Jia Wu:
From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research. Artif. Intell. Rev. 59(4): 119 (2026)- [i6]Muthu Subash Kavitha, Anas Zafar, Amgad Muneer, Jia Wu:
Task-Agnostic Continual Learning for Chest Radiograph Classification. CoRR abs/2602.15811 (2026) - [i5]Anas Zafar, Muhammad Waqas, Amgad Muneer, Rukhmini Bandyopadhyay, Jia Wu:
Projection Guided Personalized Federated Learning for Low Dose CT Denoising. CoRR abs/2603.13422 (2026) - 2025
- [i4]Rizwan Qureshi, Ranjan Sapkota, Abbas Shah, Amgad Muneer, Anas Zafar, Ashmal Vayani, Maged Shoman, Abdelrahman B. M. Eldaly, Kai Zhang, Ferhat Sadak, Shaina Raza, Xinqi Fan, Ravid Shwartz-Ziv, Hong Yan, Vinjia Jain, Aman Chadha, Manoj Karkee, Jia Wu, Seyedali Mirjalili:
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. CoRR abs/2507.00951 (2025) - [i3]Amgad Muneer, Muhammad Waqas, Maliazurina B. Saad, Eman Showkatian, Rukhmini Bandyopadhyay, Hui Xu, Wentao Li, Joe Y. Chang, Zhongxing Liao, Cara Haymaker, Luisa Solis-Soto, Carol C. Wu, Natalie I. Vokes, Xiuning Le, Lauren A. Byers, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Jia Wu:
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research. CoRR abs/2507.09028 (2025) - [i2]Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian, Amgad Muneer, Anas Zafar, Frank Rojas Alvarez, Maricel Corredor Marin, Wentao Li, David A. Jaffray, Cara Haymaker, John V. Heymach, Natalie I. Vokes, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu:
The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology. CoRR abs/2508.19914 (2025) - [i1]Amgad Muneer, Kai Zhang, Ibraheem Hamdi, Rizwan Qureshi, Muhammad Waqas, Shereen Fouad, Hazrat Ali, Syed Muhammad Anwar, Jia Wu:
Foundation Models in Biomedical Imaging: Turning Hype into Reality. CoRR abs/2512.15808 (2025) - 2024
- [j17]Mohammed Gamal Ragab, Said Jadid Abdulkadir, Amgad Muneer, Alawi Alqushaibi, Ebrahim Hamid Hasan Sumiea, Rizwan Qureshi, Safwan Mahmood Al-Selwi, Hitham Alhussian:
A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023). IEEE Access 12: 57815-57836 (2024) - [j16]Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Amgad Muneer, Ebrahim Hamid Hasan Sumiea, Alawi Alqushaibi, Mohammed Gamal Ragab:
RNN-LSTM: From applications to modeling techniques and beyond - Systematic review. J. King Saud Univ. Comput. Inf. Sci. 36(5): 102068 (2024) - [c6]Wentao Li, Amgad Muneer, Muhammad Waqas, Xiaobo Zhou, Jia Wu:
Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma. CMMCA@MICCAI 2024: 52-60 - [c5]Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu:
PD-L1 Expression Prediction Using Scalable Multi Instance Transformer. CMMCA@MICCAI 2024: 61-69 - [c4]Amgad Muneer, Eman Showkatian, Mehmet Altan, Ajay Sheshadri, Jia Wu:
PANDA: Pneumonitis Anomaly Detection Using Attention U-Net. CMMCA@MICCAI 2024: 80-89 - 2023
- [j15]Qasem Al-Tashi, Tareq M. Shami, Said Jadid Abdulkadir, Emelia Akashah Patah Akhir, Ayed Alwadain, Hitham Alhussain, Alawi Alqushaibi, Helmi Md Rais, Amgad Muneer, Maliazurina B. Saad, Jia Wu, Seyedali Mirjalili:
Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection. Comput. Syst. Sci. Eng. 47(2): 1937-1966 (2023) - [j14]Zuriati Ahmad Zukarnain, Amgad Muneer, Nur Atirah Mohamad Nassir, Akram A. Almohammedi:
Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges. Comput. Syst. Sci. Eng. 47(3): 2725-2740 (2023) - [j13]Amgad Muneer, Ayed Alwadain, Mohammed Gamal Ragab, Alawi Alqushaibi:
Cyberbullying Detection on Social Media Using Stacking Ensemble Learning and Enhanced BERT. Inf. 14(8): 467 (2023) - [c3]Amgad Muneer, Shakirah Mohd Taib, Mohd Hilmi Hasan, Alawi Alqushaibi:
Colorectal Cancer Recognition Using Deep Learning on Histopathology Images. CITA 2023: 25-30 - 2022
- [j12]Sheraz Naseer, Suliman Mohamed Fati, Amgad Muneer, Rao Faizan Ali:
iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations. IEEE Access 10: 12953-12965 (2022) - [j11]Kinza Arshad, Rao Faizan Ali, Amgad Muneer, Izzatdin Abdul Aziz, Sheraz Naseer, Nabeel Sabir, Shakirah Mohd Taib:
Deep Reinforcement Learning for Anomaly Detection: A Systematic Review. IEEE Access 10: 124017-124035 (2022) - [j10]Amgad Muneer, Suliman Mohamed Fati, Nur Arifin Akbar, David Agustriawan, Setyanto Tri Wahyudi:
iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7419-7432 (2022) - [j9]Zuriati Ahmad Zukarnain, Amgad Muneer, Mohd Khairulanuar Ab Aziz:
Authentication Securing Methods for Mobile Identity: Issues, Solutions and Challenges. Symmetry 14(4): 821 (2022) - 2021
- [j8]Sheraz Naseer, Rao Faizan Ali, Suliman Mohamed Fati, Amgad Muneer:
iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning. IEEE Access 9: 73624-73640 (2021) - [j7]Nur Arifin Akbar, Amgad Muneer, Narmine ElHakim, Suliman Mohamed Fati:
Distributed Hybrid Double-Spending Attack Prevention Mechanism for Proof-of-Work and Proof-of-Stake Blockchain Consensuses. Future Internet 13(11): 285 (2021) - [j6]Sheraz Naseer, Rao Faizan Ali, Amgad Muneer, Suliman Mohamed Fati:
iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions. Symmetry 13(4): 560 (2021) - [j5]Suliman Mohamed Fati, Amgad Muneer, Nur Arifin Akbar, Shakirah Mohd Taib:
A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool. Symmetry 13(4): 686 (2021) - [j4]Amgad Muneer, Shakirah Mohd Taib, Suliman Mohamed Fati, Hitham Alhussian:
Deep-Learning Based Prognosis Approach for Remaining Useful Life Prediction of Turbofan Engine. Symmetry 13(10): 1861 (2021) - [c2]Rao Faizan Ali, Amgad Muneer, P. D. D. Dominic, Shakirah Mohd Taib, Ebrahim A. A. Ghaleb:
Internet of Things (IoT) Security Challenges and Solutions: A Systematic Literature Review. ACeS 2021: 128-154 - 2020
- [j3]Amgad Muneer, Suliman Mohamed Fati:
Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep Learning. IEEE Access 8: 196747-196764 (2020) - [j2]Amgad Muneer, Suliman Mohamed Fati:
A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter. Future Internet 12(11): 187 (2020)
2010 – 2019
- 2019
- [j1]Amgad Muneer, Suliman Mohamed Fati:
Automated Health Monitoring System Using Advanced Technology. J. Inf. Technol. Res. 12(3): 104-132 (2019) - 2018
- [c1]Vickneswari Durairajah, Suresh Gobee, Amgad Muneer:
Automatic Vision Based Classification System Using DNN and SVM Classifiers. CRC 2018: 6-14
Coauthor Index
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