[MICCAI 2025] IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities
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May 7, 2026 - Python
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missing-modalities
Here are 6 public repositories matching this topic...
[IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation
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Oct 6, 2024 - Python
Learning joint Segmentation of Tissues And Brain Lesions (jSTABL) from task-specific hetero-modal domain-shifted datasets
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Mar 24, 2025 - Python
Multimodal Representation Learning under Imperfect Data Conditions: A Survey
natural-language-processing sentiment-analysis corruption survey medical-imaging medical-image-processing medical-image-analysis multimodal-learning multimodal multimodal-deep-learning medical-image-segmentation missing-modalities multimodal-action-recognition missing-modality missing-modal-retrieval corrupted-modalities robust-multimodal-learning awesome-multimodal-learning
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Oct 30, 2025
"Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation", accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
recommendation-system imputation gnns graph-recommendations graph-learning missing-modalities multimodal-recommendation
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Feb 15, 2026 - Python
A missing-aware multimodal framework that fuses CT, Whole-Slide Histopathology, and clinical tabular data for survival prediction in unresectable stage II–III Non-Small Cell Lung Cancer (NSCLC) — without dropping patients or imputing absent modalities.
deep-learning transformers artificial-intelligence healthcare medical-imaging lung-cancer risk-assessment radiology time-to-event pathology overall-survival-prediction healthcare-ai prognostic-models missing-modalities foundation-models
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Jun 5, 2026 - Python
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