Preprint
Aug 2026
Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI
A longitudinal framework that combines a frozen 3D foundation encoder (Pillar-0) with the authors' Temporal Dynamics Network (TDN) to predict treatment response from serial Dynamic Contrast-Enhanced MRI acquired across four clinical timepoints from pre-treatment to pre-surgery is presented.
Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang et al.
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