Author

Maximilian R. Rokuss

2 papers indexed here

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Preprint Aug 2026

Resolution Meets Reduction: Efficient Visual Context for 3D Radiology Report Generation

Vision-language models offer a promising path toward automating radiology report generation, but applying them to full 3D CT volumes poses substantial computational challenges. Modern foundation vision encoders (VEs) can produce tens of thousands of vision tokens per scan, making the visual sequence passed to the large...

Jonathan Suprijadi, Raphael Stock, Moritz Langenberg et al. · 1 citation

Jul 2026

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

GigaPath-Flash and GigaTIME-Flash, efficient models for whole-slide pathology AI and spatial proteomics prediction, are introduced and all models and weights are released, providing accessible building blocks for computational pathology, immuno-oncology, and precision health.

N. Usuyama, Jeya Maria Jose Valanarasu, Si-Cong Yao et al. · arXiv.org · 0 citations