For 10 unforgettable days, @ACVSS_AI brought together an incredible group of students, researchers, and world-class lecturers to learn, exchange ideas, and push the boundaries of computer vision.
From inspiring keynote talks and deeply engaging lectures to the hackathon,
Over the past few years, I have become increasingly interested in the intersection of computer vision, medical AI, multimodal learning, global health, and responsible AI systems for Africa.
From working on healthcare access analysis in Ghana, to contributing to research in
Our paper, “VAMAE: Vessel-Aware Masked Autoencoders for OCT-Angiography,” has been accepted to the 28th International Conference on Pattern Recognition (ICPR 2026).
This work sits around a problem I care deeply about: how to make medical vision models learn better when labeled
