{
  "abstract": "Multi-parametric MRI segmentation models are accurate when all prescribed sequences are available but can be brittle under missing or corrupted modalities. We propose NeuroWeave-3D, a 3D glioma segmentation framework that treats missing modalities as uncertain evidence rather than deterministic channels to reconstruct. The model combines spatial modality routing, probabilistic latent feature completion, complete-to-missing consistency, and voxel-level uncertainty estimation. A curriculum over all non-empty MRI modality subsets trains one network for arbitrary sequence availability. We define a BraTS-centered evaluation that reports complete-input accuracy, macro and worst-case missing-modality performance, corruption robustness, calibration, and failure detection.",
  "abstract_shown": true,
  "affiliations": [
    "German Research Center for Artificial Intelligence (DFKI)"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "name": "D. Miller"
    },
    {
      "affs": [
        0
      ],
      "name": "L. A. Weber"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6v1sw7tdaf0xp.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.29.762804",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762804v1.full",
  "id": "6v1sw7tdaf0xp",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762804v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762804v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/6v1sw7tdaf0xp.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T00:21:43Z",
      "native_id": "10.64898/2026.10.29.762804",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762804v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "NeuroWeave-3D: Uncertainty-Aware Evidence Completion for Brain Tumor Segmentation with Missing MRI Modalities",
  "title_text": "NeuroWeave-3D: Uncertainty-Aware Evidence Completion for Brain Tumor Segmentation with Missing MRI Modalities",
  "type": "preprint",
  "updated_at": "2026-11-06T00:21:32Z",
  "url": "https://research.draconitic.com/paper/6v1sw7tdaf0xp",
  "venue": "bioRxiv",
  "versions": []
}