CausalDisenSeg uses causality-guided disentanglement via CVAE with HSIC, a Region Causality Module, and counterfactual reasoning to achieve robust brain tumor segmentation under missing MRI modalities, reporting 84.49 macro-average DSC on BraTS 2023.
RFNet: Region-aware fusion network for incomplete multi - modal brain tumor segmentation
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CausalDisenSeg: A Causality-Guided Disentanglement Framework with Counterfactual Reasoning for Robust Brain Tumor Segmentation Under Missing Modalities
CausalDisenSeg uses causality-guided disentanglement via CVAE with HSIC, a Region Causality Module, and counterfactual reasoning to achieve robust brain tumor segmentation under missing MRI modalities, reporting 84.49 macro-average DSC on BraTS 2023.