Author

Christos Davatzikos

2 papers indexed here

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Open access Sep 2026

Generalizable CT vision-language modeling for population health and disease risk

Vision-language foundation models (VLMs) for computed tomography (CT) are emerging tools that learn generalizable representations from large-scale clinical imaging data. While these models can predict task-specific labels, the extent to which their representations capture the clinical, physiological, and longitudinal...

C. Beeche, Joonghyun Kim, H. Tavolinejad et al. · npj Digital Medicine · 1 citation

Preprint Aug 2026

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning

GenFAR, a modular deep learning framework that learns general, clinically informed features from brain MRIs, is introduced, showing that using the learned feature representation can substantially increase the sample efficiency of secondary deep learning training tasks and models, as well as improve their accuracy.

V. Bashyam, G. Erus, Jun-Hao Wen et al. · 0 citations