3 papers
eess.IV2026
MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement
Andrea Borghesi, Xin Wang, Jonas Teuwen +1
Inferring contrast enhancement from one pre-contrast breast MRI slice is underdetermined: post-contrast appearance contains physiological information that is not uniquely encoded i…
cs.CV2026
LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling
Xin Wang, Yuan Gao, George Yiasemis +13
Efficient and explainable breast cancer (BC) risk prediction is critical for large-scale population-based screening. Breast MRI provides functional information for personalized ris…
cs.CV2025
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models
Tim Veenboer, George Yiasemis, Eric Marcus +4
Existing foundation models (FMs) in the medical domain often require extensive fine-tuning or rely on training resource-intensive decoders, while many existing encoders are pretrai…