Author

Christos Davatzikos

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Open access Sep 2026

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

Percival is introduced, a CT-native VLM trained on more than 400,000 CT-report pairs from the Penn Medicine BioBank using a dual-encoder symmetric contrastive framework, and evaluated against alternative foundation-model paradigms, indicating that CT-VLMs uncover latent structure aligned with clinical, physiological, a...

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