33 citations · 39 across the 20 of their papers we have counts for
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Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters
Felix Nützel, Mischa Dombrowski, Luca Hagen +1
Pretrained latent spaces trade compression, reconstruction, and the learnability of the coordinates a downstream generator has to work in, which complicates adapting these spaces t…
A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging
Mischa Dombrowski, Bernhard Kainz
Diffusion-based synthetic data generation offers a promising route for sharing medical imaging data without releasing sensitive patient records. However, generative models face a f…
The Learnability Gap in Medical Latent Diffusion
Mischa Dombrowski, Felix Nützel, Bernhard Kainz
Generative data augmentation with latent diffusion models is a promising strategy for addressing class imbalance in medical imaging, yet current approaches focus on perceptual fide…
Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
Felix Nützel, Mischa Dombrowski, Bernhard Kainz
Rare diseases dominate the diagnostic challenge in medical imaging yet are severely underrepresented in clinical datasets, causing classifiers to fail on exactly the conditions whe…