{
  "id": 4777371,
  "title": "MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI",
  "url": "https://urgent.news/2026/08/31/mr-jepa-a-general-purpose-video-foundation-model-for-cardiac-mri",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-08-31T15:36:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.30975v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Cardiac magnetic resonance imaging (CMR) produces rich sequential data such as temporal cine videos and spatial LGE/mapping stacks, yet most deep learning approaches process individual 2D slices, discarding this context. We present MR-JEPA, a self-supervised video foundation model for CMR that extends LeJEPA to 3D spatiotemporal inputs through tubelet tokenization, spatiotemporal masking…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}