brain tumor segmentation

Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation AAAI 2026 PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation CVPR 2026 Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation AAAI 2026 Uni-Encoder Meets Multi-Encoders: Representation Before Fusion for Brain Tumor Segmentation with Missing Modalities CVPR 2026 Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities CVPR 2026 Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model CVPR 2025 KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities CVPR 2025 Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025 SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation CVPR 2025 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024 Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation WACV 2024 TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities AAAI 2024 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023 MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation MIDL 2023 Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning ICCV 2023 Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging MIDL 2023 Whole brain radiomics for clustered federated personalization in brain tumor segmentation MIDL 2023 Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization CVPR 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities MIDL 2022 RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor Segmentation ICCV 2021 3D Self-Supervised Methods for Medical Imaging NeurIPS 2020 Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation IJCAI 2020 Transfer Learning by Adaptive Merging of Multiple Models MIDL 2019