2 papers
cs.CV2025
Block Graph Neural Networks for tumor heterogeneity prediction
Marianne Abémgnigni Njifon, Tobias Weber, Viktor Bezborodov +2
Accurate tumor classification is essential for selecting effective treatments, but current methods have limitations. Standard tumor grading, which categorizes tumors based on cell…
cs.CV2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawe, Marianne Abemgnigni Njifon, Jonathan Heek +1
Deep networks have achieved impressive results on a range of well-curated benchmark datasets. Surprisingly, their performance remains sensitive to perturbations that have little ef…