From the 1 of 4 linked papers with an AI index.
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A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
Simon Vincent Abel, Heiko Hillenhagen, Michael Götz +3
Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to support radiological report generation and structured image under…
Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
Yiheng Xiong, Luisa Gallée, Luisa Gallée +4
The paper introduces a label‑free criterion that automatically selects the best unsupervised domain adaptation algorithm and its hyperparameters for medical imaging by comparing ca…
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images
Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin +4
Clinical decision-making relies heavily on understanding relative positions of anatomical structures and anomalies. Therefore, for Vision-Language Models (VLMs) to be applicable in…