A cross-modal generative model for incomplete and degradedprostate MRI with multicentre clinical validation
Siyuan Ma, Liang He, Mengying Zhu, Yi Chai, Mengyao Lyu, Haowei Wang, Qizhen Lan, HaoBo Sun, Qixin Zhang, Jingli Chen, Xiaobing Wei, Jiaming Liu, Guiqin Liu, Qianwen Zhang, Yang Liu, , Guangyu Wu
This paper develops MSCNet, a cross-modal generative model for reconstructing and restoring prostate MRI sequences, showing improved image quality and diagnostic performance in multicentre validation.
bioRxiv · Aug 18, 2026 · PreprintBioengineering