We provide a method to extract the tractographic features from structural MR images for patients with brain tumor

bimodal DNN for NSCLC patient overall survival prediction

A missing-aware multimodal framework that fuses CT, Whole-Slide Histopathology, and clinical tabular data for survival prediction in unresectable stage II–III Non-Small Cell Lung Cancer (NSCLC) — without dropping patients or imputing absent modalities.