Muhammad Waqas

14 papers Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research. Artif. Intell. Rev. 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
2026	J	`jnl`	Projection Guided Personalized Federated Learning for Low Dose CT Denoising. CoRR Anas Zafar, Muhammad Waqas, Amgad Muneer, Rukhmini Bandyopadhyay, Jia Wu
2025	J	`jnl`	Foundation Models in Biomedical Imaging: Turning Hype into Reality. CoRR Amgad Muneer, Kai Zhang, Ibraheem Hamdi, Rizwan Qureshi, Muhammad Waqas, Shereen Fouad, Hazrat Ali, Syed Muhammad Anwar, Jia Wu
2025	J	`jnl`	From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research. CoRR 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
2025	J	`jnl`	Margin-Based Supervised Contrastive Learning for Robust Malware Detection. IEEE Access Yawar Abbas Abid, Jinsong Wu, Said Jadid Abdulkadir, Ayed Alwadain, Muhammad Waqas, Muhammad Farhan
2025	J	`jnl`	The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology. CoRR 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
2024	—	`conf`	Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma. CMMCA@MICCAI Wentao Li, Amgad Muneer, Muhammad Waqas, Xiaobo Zhou, Jia Wu
2024	J	`jnl`	Exploring Multiple Instance Learning (MIL): A brief survey. Expert Syst. Appl. Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, Jia Wu, Rizwan Qureshi
2024	J	`jnl`	Multilevel Deep Neural Network Approach for Enhanced Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Internet of Things Networks. IEEE Internet Things J. Yawar Abbas Abid, Jinsong Wu, Guangquan Xu, Shihui Fu, Muhammad Waqas
2024	J	`jnl`	Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer. Neural Comput. Appl. Muhammad Waqas, Muhammad Atif Tahir, Muhammad Danish Author, Somaya Al-Máadeed, Ahmed Bouridane, Jia Wu
2023	J	`jnl`	Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications. Appl. Intell. Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi
2023	J	`jnl`	Robust bag classification approach for multi-instance learning via subspace fuzzy clustering. Expert Syst. Appl. Muhammad Waqas, Muhammad Atif Tahir, Salman A. Khan
2021	—	`conf`	Ensemble-Based Instance Relevance Estimation in Multiple-Instance Learning. EUVIP Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi
2020	—	`conf`	Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning. CLEF (Working Notes) Muhammad Waqas, Zeshan Khan, Shaheer Anjum, Muhammad Atif Tahir