Towards Equitable Kidney Tumor Segmentation: Bias Evaluation and Mitigation. - Muhammad Muneeb Afzal; Muhammad Osama Khan; Shujaat Mirza (ML4H@NeurIPS, 2023)

How Fair are Medical Imaging Foundation Models? - Muhammad Osama Khan; Muhammad Muneeb Afzal; Shujaat Mirza; Yi Fang 006 (ML4H@NeurIPS, 2023)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. - Yu Tian 001; Congcong Wen; Min Shi 001; Muhammad Muneeb Afzal; Hao Huang 003; Muhammad Osama Khan; Yan Luo 002; Yi Fang 006; Mengyu Wang 001 (ECCV (76), 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 006 (MIDL, 2024)

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. - Yan Luo 002; Muhammad Osama Khan; Congcong Wen; Muhammad Muneeb Afzal; Titus Fidelis Wuermeling; Min Shi 001; Yu Tian 001; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)