Full Papers
Original and unpublished work submitted for peer review; accepted papers are published in ECCV'26 workshop proceedings and must be presented as posters.
2nd International Workshop on Biomedical Image and Signal Computing for Unbiasedness, Interpretability, and Trustworthiness
BISCUIT 2026 is the 2nd International Workshop on Biomedical Image and Signal Computing for Unbiasedness, Interpretability, and Trustworthiness (UIT), held in conjunction with ECCV'26 in Malmö, Sweden. It focuses on the foundational science and methodological rigor of UIT in AI, emphasizing the theoretical underpinnings, evaluation frameworks, and principled approaches to bias, interpretability, and trustworthiness—particularly in biomedical contexts, but also welcoming general AI contributions with potential relevance to this domain.
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original and unpublished work submitted for peer review; accepted papers are published in ECCV'26 workshop proceedings and must be presented as posters.
Selected accepted papers are chosen for oral presentation during the workshop.
All accepted papers must be presented as posters during the workshop.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026