Author

Marvin Sextro

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#artificial intelligence Jun 2026

In-Context Multiple Instance Learning

It is shown that pretraining an in-context learner with a Perceiver-style architecture on synthetic data yields a model that can solve new tasks from a handful of labeled bags, outperforming supervised baselines that require task-specific training.

Alexander Möllers, Marvin Sextro, Julius Hense et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

LUCAID is an agentic AI system for precision lung cancer pathology that combines diagnostic reasoning with nine modules that cover the full routine workflow, from quality control, tumor detection and segmentation, histological subtyping, tumor microenvironment profiling, tumor cellularity quantification, and predictive...

M. Eich, K. Standvoss, Timo Milbich et al. · 0 citations