2 papers
cs.CV2025
The LongiMam model for improved breast cancer risk prediction using longitudinal mammograms
Manel Rakez, Thomas Louis, Julien Guillaumin +4
Risk-adapted breast cancer screening requires robust models that leverage longitudinal imaging data. Most current deep learning models use single or limited prior mammograms and la…
stat.AP2025
The DeepJoint algorithm: An innovative approach for studying the longitudinal evolution of quantitative mammographic density and its association with screen-detected breast cancer risk
Manel Rakez, Julien Guillaumin, Aurelien Chick +5
Mammographic density is a dynamic risk factor for breast cancer and affects the sensitivity of mammography-based screening. While automated machine and deep learning-based methods…