Kerol Djoumessi

Kerol Djoumessi
Kerol Djoumessi is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and an IMPRS-IS scholar. In the past, he has studied several topics including software design and dynamic resource allocation in virtual networks. His current focus is on the design of interpretable/explanable deep learning models for clinical diagnosis, particularly inherently interpretable models for medical image analysis with applications in ophthalmology. In addition to interpretability, he is interested in clinical ethics, resource-efficient deep learning models, and the deployment of deep learning models.
My best motivation is when I don't understand something or when something goes wrong.
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Gervelmeyer, J., Müller, S., Djoumessi, K., Merle, D., Clark, S. J., Koch, L., & Berens, P.

Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Oct 06, 2024 | MICCAI 2024