works on
active surveillance 1longitudinal MRI 1multimodal learning 1prostate cancer 1temporal attention 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CV2026

TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance

Hongye Zeng, Shreeram Athreya, Dingyuan Dai +4

The paper introduces an end-to-end model that leverages sequential MRI scans and clinical data to predict pathological progression in prostate cancer patients under active surveill…