Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation

•A conditional generator is designed to generate the missing modality with correlation constraint among the modalities.•A multi-source correlation network is introduced to learn the latent multi-source correlation among modalities.•A brain tumor segmentation network via multi-source correlation to conditionally generate the missing modality is proposed.•The experimental results demonstrate the effectiveness of our proposed method.