Muhammad Muneeb Afzal

According to our database, Muhammad Muneeb Afzal authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.

Yan Luo, Muhammad Osama Khan, Congcong Wen, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang

CoRR, 2024

A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification.

Muhammad Muneeb Afzal, Muhammad Osama Khan, Yi Fang

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.

Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

How Fair are Medical Imaging Foundation Models?

Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, Yi Fang

Proceedings of the Machine Learning for Health, 2023

Towards Equitable Kidney Tumor Segmentation: Bias Evaluation and Mitigation.

Muhammad Muneeb Afzal, Muhammad Osama Khan, Shujaat Mirza

Proceedings of the Machine Learning for Health, 2023