IDEA Lab @ MIDL 2025
July 2025 — Salt Lake City, Utah
A team from the IDEA Lab made a strong showing at the Medical Imaging with Deep Learning (MIDL) 2025 conference, presenting their most recent research on generative models.
Among the highlights:
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“Generate to Ground” introduced a novel use of text-to-image diffusion models for grounding medical phrases in images. The method outperformed state-of-the-art discriminative approaches, doubling accuracy in key benchmarks.
Authors: Felix Nützel, Mischa Dombrowski, Bernhard Kainz
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“Can Diffusion Models Generalize?” tackled the pressing issue of privacy and fairness in medical generative models, proposing a new metric, t′, to assess generalization trade-offs. This work offers critical insights for secure and ethical synthetic data sharing.
Authors: Mischa Dombrowski, Bernhard Kainz
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“CRG Score” presented a clinically-informed metric to evaluate long-form radiology reports. By addressing class imbalance and boosting interpretability, it sets a new standard for textual evaluation in medical AI.
Authors: Ibrahim Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Bernhard Kainz, Bjoern Menze