1. Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, and Rafeef Garbi. BiasPruner: Mitigating Bias Transfer in Continual Learning for Fair Medical Image Analysis. Medical Image Analysis (MedIA), 000:000-000, 2025. Keyword(s): Classification, Dermatology/Skin, Machine Learning, Deep Learning, Continual Learning, AI Bias and Fairness. [bibtex-key = media2025]

1. Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, and Homayoun Najjaran. Debiasify: Self-Distillation for Unsupervised Bias Mitigation. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 000–000, 2025. Keyword(s): Classification, Dermatology/Skin, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness. [bibtex-key = wacv2025]



2. Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, and Rafeef Garbi. BiasPruner: Debiased Continual Learning for Medical Image Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 000-000, 2024. Keyword(s): Classification, Dermatology/Skin, Machine Learning, Deep Learning, Continual Learning, AI Bias and Fairness. [bibtex-key = miccai2024a]

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