Pith Number

pith:UNEBNJCZ

pith:2026:UNEBNJCZ3CPKXDUXKNTQFU5AQN

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Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging

Chen Jiang, Kaiyu Guo, Limei Han, Mahsa Baktashmotlagh, Mengzhu Li, Shuhao Mei, Tan Pan, Xiang Zou, Yixuan Sun, Yuan Cheng, Zhaorui Tan

Leveraging cross-instance anatomical topology consistency as a supervisory signal improves self-supervised representations in 3D multi-modal medical imaging.

arxiv:2605.14654 v1 · 2026-05-14 · cs.CV

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\pithnumber{UNEBNJCZ3CPKXDUXKNTQFU5AQN}

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We propose leveraging this cross-instance topological consistency as a supervisory signal... We validate our approach across 7 downstream multi-modal tasks, achieving average improvements of 1.1% and 5.94% in segmentation and classification tasks, respectively, and demonstrating significantly better robustness when modalities are missing at test time.

C2weakest assumption

anatomical structures maintain consistent spatial relationships across individuals (instances), such as the thalamus being medial to the basal ganglia, regardless of variations in brain size, shape, or pathology

C3one line summary

A self-supervised approach uses consistent spatial relationships of anatomical structures across patients to improve 3D multi-modal medical image representations, yielding modest gains on segmentation and classification tasks.

References

234 extracted · 234 resolved · 15 Pith anchors

[1] FirstName LastName , title =

[2] FirstName Alpher , title =

[3] Journal of Foo , volume = 13, number = 1, pages =

[4] Journal of Foo , volume = 14, number = 1, pages =

[5] FirstName Alpher and FirstName Gamow , title =

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:03.770842Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a34816a459d89eab8e97536702d3a083692f293b6d2621f79795b5922158ccdf

Aliases

arxiv: 2605.14654 · arxiv_version: 2605.14654v1 · doi: 10.48550/arxiv.2605.14654 · pith_short_12: UNEBNJCZ3CPK · pith_short_16: UNEBNJCZ3CPKXDUX · pith_short_8: UNEBNJCZ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UNEBNJCZ3CPKXDUXKNTQFU5AQN \
  | 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: a34816a459d89eab8e97536702d3a083692f293b6d2621f79795b5922158ccdf

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c19cb36cb13c506496b016bde150983e84d059842666387512a88ec7e037e46c",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T10:10:34Z",
    "title_canon_sha256": "2dcceb91be2159d33103e76534206fb58b7088443c58e2cf9b62e54398d70685"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14654",
    "kind": "arxiv",
    "version": 1
  }
}