Zaenab Alammar

According to our database, Zaenab Alammar authored at least 4 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A systematic review of artificial intelligence-driven decentralized learning in healthcare: emerging techniques, applications, challenges and future directions.

Zehui Zhao, Laith Alzubaidi, Haider A. Alwzwazy, Jinglan Zhang, Zaenab Alammar, Yuantong Gu

Artif. Intell. Rev., June, 2026

Improving robustness in X-ray image classification through attention mechanisms in convolutional neural networks.

Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Zehui Zhao, Yuantong Gu

PeerJ Comput. Sci., 2026

2024

Generalisable deep Learning framework to overcome catastrophic forgetting.

Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Ashish Gupta, Yuantong Gu

Intell. Syst. Appl., 2024

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.

Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, Zaenab Alammar, Mohammed A. Fadhel, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Amjad F. Hasan, Jinshuai Bai, Luke Gilliland, Jing Peng, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu

Artif. Intell. Medicine, 2024