Ayesha Jabbar

According to our database, Ayesha Jabbar authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Mamba-Based VoxelMorph Framework for Cardiovascular Disease Imaging and Risk Assessment.

Kashif Jabbar, Jianjun Huang, Ayesha Jabbar, Zaka Ur Rehman

IEEE Access, 2025

Recent Advances in Federated Learning for Connected Autonomous Vehicles: Addressing Privacy, Performance, and Scalability Challenges.

Asad Ali, Jianjun Huang, Ayesha Jabbar

IEEE Access, 2025

2024

Correction: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas.

Ayesha Jabbar, Shahid Naseem, Jianqiang Li, Tariq Mahmood, Kashif Jabbar, Amjad Rehman, Tanzila Saba

Int. J. Comput. Intell. Syst., December, 2024

Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas.

Ayesha Jabbar, Shahid Naseem, Jianqiang Li, Tariq Mahmood, Kashif Jabbar, Amjad Rehman, Tanzila Saba

Int. J. Comput. Intell. Syst., December, 2024

A Lesion-Based Diabetic Retinopathy Detection Through Hybrid Deep Learning Model.

Ayesha Jabbar, Hannan Bin Liaqat, Aftab Akram, Muhammad Usman Sana, Irma Domínguez Azpíroz, Isabel de la Torre Díez, Imran Ashraf

IEEE Access, 2024

2023

Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model.

Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, Tanzila Saba, Faten S. Alamri, Amjad Rehman

IEEE Access, 2023