[MICCAI 2025] IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities
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Aug 1, 2026 - Python
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brats2023
Here are 6 public repositories matching this topic...
Code for automated brain tumor segmentation from MRI scans using CNNs with attention mechanisms, deep supervision, and Swin-Transformers. Based on my Master's dissertation project at Brunel University, it features 3 deep learning models, showcasing integration of advanced techniques in medical image analysis.
deep-neural-networks deep-learning transformers cnn pytorch medical-imaging attention-mechanism brats medical-image-segmentation brats-challenge swin-transformer brats2023
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Nov 17, 2023 - Python
Source code for process-oriented explainability of internal inference paths in medical image segmentation
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Jul 20, 2026 - Python
Multi-metric framework for quantitatively validating GNN explanations in brain tumor segmentation. It evaluates GraphSAGE, GAT, and ChebNet with Integrated Gradients, GraphLIME, and GNNExplainer on BraTS 2023 supervoxel graphs.
medical-imaging supervoxel brats explainable-ai graph-neural-networks brain-tumor-segmentation integrated-gradients xai-evaluation brats2023 supervoxels gnnexplainer graphlime gnn-explainability supervoxel-graphs
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Jul 31, 2026 - Jupyter Notebook
Glioma segmentation on BraTS 2023 using UNet3D and nnFormer
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Sep 6, 2025 - Python
Distance Map auxiliary loss for brain tumor segmentation (BraTS 2023 GLI) : characterisation of a topological fragments artefact + parameter-free CC-consensus filter improving HD95 NCR. Paper, code, reproducibility data.
deep-learning pytorch medical-imaging research-paper brats brain-tumor-segmentation distance-map nnunet signed-distance-transform mednext brats2023 cc-consensus post-hoc-fusion
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Jul 4, 2026 - Python
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