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pith:RK65BUHB

pith:2026:RK65BUHBWYRM2FV2UMFWTPJALK
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BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

Chih-Wei Chang, Harini Veeraraghavan, Mingzhe Hu, Mojtaba Safari, Shansong Wang, Xiaofeng Yang, Yizhou Wu, Yuheng Li

A self-supervised model trained on millions of brain MRI slices yields a unified representation that supports diverse clinical tasks with a frozen encoder and lightweight heads.

arxiv:2604.27277 v2 · 2026-04-30 · cs.LG · cs.AI · cs.CV

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\pithnumber{RK65BUHBWYRM2FV2UMFWTPJALK}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

a single self-supervised representation can generalize across heterogeneous brain MRI endpoints... large-scale slice-wise self-supervised learning can yield a unified brain MRI representation that supports diverse neuroimaging tasks without volumetric pretraining or full-network fine-tuning

C2weakest assumption

That the 20 datasets and the selected clinical endpoints (tumor segmentation, classification tasks, survival modeling, etc.) are sufficiently representative to support the claim of broad generalizability across all brain MRI applications and acquisition settings.

C3one line summary

BrainDINO delivers a single self-supervised brain MRI representation that generalizes to tumor segmentation, disease classification, brain age estimation, and other tasks without volumetric pretraining or full fine-tuning.

Receipt and verification
First computed 2026-05-27T01:04:58.558600Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8abdd0d0e1b622cd16baa30b69bd205ab6333733f94396f437f0d90ddce06261

Aliases

arxiv: 2604.27277 · arxiv_version: 2604.27277v2 · doi: 10.48550/arxiv.2604.27277 · pith_short_12: RK65BUHBWYRM · pith_short_16: RK65BUHBWYRM2FV2 · pith_short_8: RK65BUHB
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RK65BUHBWYRM2FV2UMFWTPJALK \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8abdd0d0e1b622cd16baa30b69bd205ab6333733f94396f437f0d90ddce06261
Canonical record JSON
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    "abstract_canon_sha256": "4130b87d6702e492ed571669aaa8ca08a2bd068dbecd7543f43005857d7f6755",
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-30T00:21:36Z",
    "title_canon_sha256": "1aab93bb7b167328414952a51b7440d16f473adc1be657eeb9899ee952a1b134"
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