2 papers
eess.IV2026
A cross-modal generative model for incomplete and degraded prostate MRI with multicentre clinical validation
Siyuan Ma, Liang He, Mengying Zhu +14
Missing or degraded sequences can limit prostate multiparametric MRI. We developed MSCNet, a sequence-conditioned cross-modal generative framework for reconstructing unavailable co…
cs.CV2026
KOAL: Knowledge-Driven Prostate Cancer Grading with Ordinal-Aware Learning
Zheng Guo, Jiaqi Cui, Haocheng Xiong +5
Non-invasive prediction of Gleason Grade Group (GGG) in prostate cancer using multiparametric MRI (mpMRI) is clinically vital for reducing unnecessary biopsies. Existing GGG predic…