3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2025
T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis
Xiaojiao Xiao, Jianfeng Zhao, Qinmin Vivian Hu +1
Magnetic resonance imaging (MRI) is a leading modality for the diagnosis of liver cancer, significantly improving the classification of the lesion and patient outcomes. However, tr…
eess.IV2022★ 3 cited
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI
Jianfeng Zhao, Dengwang Li, Shuo Li
Simultaneous segmentation and detection of liver tumors (hemangioma and hepatocellular carcinoma (HCC)) by using multi-modality non-contrast magnetic resonance imaging (NCMRI) are…