Paper Citation Record · LEDGER

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography

As of 4 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2502.02779.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02779 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:14:44.564973Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-18T17:26:40.317241Z

Reference resolution

55 of 55 outbound references displayed

verified exact25
verified fuzzy19
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d78588cb-4e98-450b-bce4-645cd75ff701 · outbound

This paper cites E.et al.Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.Radiol.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography E.et al.Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.Radiol

Reference 1

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.820481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd07465c-8fc5-4f67-9c60-9add8f23d751 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Learning Transferable Visual Models From Natural Language Supervision

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:27:26.841683Z

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Observation 5f6eb18a-ebd1-4193-9943-2109422c9cb1 · outbound

This paper cites EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.039252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e146397-9cd6-4724-bded-228951fbd6c6 · outbound

This paper cites Publisher: Nature Publishing Group.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Publisher: Nature Publishing Group

Reference 5

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.828588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d4f352d-1856-4e96-9c66-8813e224274e · outbound

This paper cites A visual-language foundation model for pathology image analysis using medical twitter.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography A visual-language foundation model for pathology image analysis using medical twitter

Reference 6

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.795001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9da4c37d-a742-43cc-a2eb-948c7735dda0 · outbound

This paper cites J.et al.Towards a general-purpose foundation model for computational pathology.Nat.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography J.et al.Towards a general-purpose foundation model for computational pathology.Nat

Reference 7

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.807103Z

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Observation b0c3db9f-1b4b-4a2d-8579-a96ab0d99dcb · outbound

This paper cites Medicine30, 2924–2935, DOI: 10.1038/s41591-024-03141-0 (2024).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Medicine30, 2924–2935, DOI: 10.1038/s41591-024-03141-0 (2024)

Reference 8

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.824587Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e755b8e2-c879-49dc-b981-524ebee3da23 · outbound

This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e3c6b00-d288-405e-a90e-97a43eee94e7 · outbound

This paper cites In The Thirty-eighth Annual Conference on Neural Information Processing Systems(2024).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In The Thirty-eighth Annual Conference on Neural Information Processing Systems(2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.311224Z

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Observation 43ed366c-1c14-4c2b-a4fc-55e5f8067c0d · outbound

This paper cites MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.059497Z

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Observation 35ba2778-5747-4f8b-8e52-e8760b94f0a1 · outbound

This paper cites Medicine1–13 (2024).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Medicine1–13 (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.294571Z

Source-reported events for the cited work

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Observation 82b585b1-ec60-4289-b74c-2e8010b9249f · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20730–20740 (2022).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20730–20740 (2022)

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.055343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d33153c-0356-49a8-a639-7bedd66db0e3 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography A Simple Framework for Contrastive Learning of Visual Representations

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:27:27.019240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fbbc7d6-2963-40ea-a41a-da07b6f51e3b · outbound

This paper cites & Girshick, R.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Girshick, R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.280188Z

Source-reported events for the cited work

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Observation 050218d8-13b2-4712-ba46-bb911504f509 · outbound

This paper cites Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.014983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b278017a-b846-42db-93a6-e6c1a676b79a · outbound

This paper cites & Wei, F.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Wei, F

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.313677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 778d7b99-aee3-4133-ace5-65ed969c97a4 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.050777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e29ab84-f728-4728-8f4a-ed91bf7c8379 · outbound

This paper cites & LeCun, Y.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & LeCun, Y

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.297061Z

Source-reported events for the cited work

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Observation 04d0e449-9ff2-42e4-8f0b-fe885eb9b2b6 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3355–3365 (2023).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3355–3365 (2023)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.326418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b2fa28d-647d-44b7-a926-a450d67bb8cd · outbound

This paper cites & Razavian, N.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Razavian, N

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.308389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24d5db21-4314-46d1-aa18-c9ce4c61f0f3 · outbound

This paper cites Medicine6, 74, DOI: 10.1038/s41746-023-00811-0 (2023).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Medicine6, 74, DOI: 10.1038/s41746-023-00811-0 (2023)

Reference 22

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.856511Z

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Observation b36bd815-a444-43b9-b337-b11e8fd39ccc · outbound

This paper cites Walk in the cloud: Learning curves for point clouds shape analysis, pp.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Walk in the cloud: Learning curves for point clouds shape analysis, pp

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T03:27:26.790182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f328985a-44d4-4f06-80a7-f53c3885d1d0 · outbound

This paper cites & Deniz, C.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Deniz, C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.323807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2729336c-3c26-46fc-994a-1e5959814f96 · outbound

This paper cites Walk in the cloud: Learning curves for point clouds shape analysis, pp.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Walk in the cloud: Learning curves for point clouds shape analysis, pp

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T03:27:26.801966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78f0391b-2234-4bbc-91a8-28114938b17d · outbound

This paper cites In2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1969–1979, DOI: 10.1109/W ACV56688.2023.00201 (2023).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1969–1979, DOI: 10.1109/W ACV56688.2023.00201 (2023)

Reference 26

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Source-reported events for the cited work

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Observation 30a9cd0b-bda7-4425-a882-f3237b6548ed · outbound

This paper cites author Culp, L.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography author Culp, L

Reference 27

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.845659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55877c7a-c5d2-4b5e-8450-75b782632df0 · outbound

This paper cites DINOv3.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography DINOv3

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:27:27.046641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21a9cdcc-18e3-4368-8bc6-7f934b17a38c · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:27:27.024372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 406781a2-d551-4308-b46c-d35481ccfd13 · outbound

This paper cites A ConvNet for the 2020s.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography A ConvNet for the 2020s

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T03:27:26.864828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 068b608d-2c6d-464e-b986-b9089f343856 · outbound

This paper cites In Krause, A.et al.(eds.)Proceedings of the 40th International Conference on Machine Learning, vol.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In Krause, A.et al.(eds.)Proceedings of the 40th International Conference on Machine Learning, vol

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.289505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7bd7e0e-c0ff-4a13-9f58-bd99562748e1 · outbound

This paper cites & Zhou, Z.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Zhou, Z

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.302787Z

Source-reported events for the cited work

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Observation 34a0e76e-4103-43f1-80cf-0363d71198d5 · outbound

This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:27:27.335927Z

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Observation 952aeda1-0deb-4299-8901-b087d9f64e63 · outbound

This paper cites & Caso, V.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Caso, V

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.316036Z

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Observation b8aaf2bd-c7e9-418e-ba39-8330378dde14 · outbound

This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:27:27.284457Z

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Observation d62816e0-0818-47f0-a09b-c1d5806276f3 · outbound

This paper cites A., Fan, Y.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography A., Fan, Y

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.330942Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b9f720c-a640-4346-8c73-c4ad5a16f508 · outbound

This paper cites & Razavian, N.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Razavian, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.333458Z

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Observation 36d8238d-44cd-4f30-b3fd-b48f7b6d551f · outbound

This paper cites Medicine30, 2977–2989, DOI: 10.1038/s41591-024-03118-z (2024).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Medicine30, 2977–2989, DOI: 10.1038/s41591-024-03118-z (2024)

Reference 38

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.832072Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8500ea3c-aef1-436c-80d5-2fb15e3ae3d3 · outbound

This paper cites Neuroimaging1, e10, DOI: https://doi.org/10.1002/neo2.10 (2024).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Neuroimaging1, e10, DOI: https://doi.org/10.1002/neo2.10 (2024)

Reference 39

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.849142Z

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Observation a8540fa9-e74d-4ab8-ad66-3761a7f61a7b · outbound

This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 40

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.781383Z

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Observation bbdf64fe-e0a0-43d5-9c41-b3fce90eb9ad · outbound

This paper cites Racial disparities in neurological care in the united states: An internal mechanism.HPHR32, DOI: 10.54111/ 0001/FF11 (2021).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Racial disparities in neurological care in the united states: An internal mechanism.HPHR32, DOI: 10.54111/ 0001/FF11 (2021)

Reference 41

Resolution: malformed identifier; raw_fallback, observed 2026-05-23T03:27:27.282370Z

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Observation 19f0946e-12ff-4a0d-9895-123bcbd19d3c · outbound

This paper cites Care(2025).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Care(2025)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.278140Z

Source-reported events for the cited work

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Observation fdf0b1f5-7d27-4512-a6f0-a45b953ab545 · outbound

This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:27:27.328530Z

Source-reported events for the cited work

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Observation 6fc0c21c-3f1d-41de-bf46-fb059210a841 · outbound

This paper cites S., Ashburner, J., Smith, J.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography S., Ashburner, J., Smith, J

Reference 44

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.859928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f1da836-39ab-4f4e-ae36-9be87d732e49 · outbound

This paper cites In Guyon, I.et al.(eds.)Advances in Neural Information Processing Systems, vol.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In Guyon, I.et al.(eds.)Advances in Neural Information Processing Systems, vol

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.305556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11501cbb-3c5a-442e-bf0d-6beb9db26453 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography SAM 2: Segment Anything in Images and Videos

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:27:27.030551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d39338c-40ac-4ed2-8d54-999d3e4a0e22 · outbound

This paper cites & Wang, L.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Wang, L

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.321413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2927103-ce5f-4c7e-9bd6-80c1108f8637 · outbound

This paper cites & Fei-Fei, L.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Fei-Fei, L

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.286731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2679b2ac-dee5-40b8-a95d-7de7f3ee5d6f · outbound

This paper cites In2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1–6, DOI: 10.1109/ISBI53787.2023.10230477 (2023).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1–6, DOI: 10.1109/ISBI53787.2023.10230477 (2023)

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T03:27:26.816573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a364985d-26d7-49fd-b81e-f85227818e24 · outbound

This paper cites In Oh, A.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography In Oh, A

Reference 50

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This paper cites VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Reference 51

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This paper cites an unresolved cited work.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unresolved cited work

Reference 52

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This paper cites SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:27:27.043299Z

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This paper cites Prototypical Networks for Few-shot Learning.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Prototypical Networks for Few-shot Learning

Reference 54

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This paper cites & Satoh, Y.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography & Satoh, Y

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:27:27.319014Z

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This paper cites The Lancet392, 2388–2396, DOI: 10.1016/S0140-6736(18)31645-3 (2018).

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography The Lancet392, 2388–2396, DOI: 10.1016/S0140-6736(18)31645-3 (2018)

Reference 56

Resolution: verified exact; doi, observed 2026-05-23T03:27:26.852570Z

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Pith citing papers

Observation 6d98116f-ff99-4ced-a320-4bc348a47b35 · inbound

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning cites this paper.

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning 3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography

Reference 12

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Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review 3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography

Reference 55

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Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification cites this paper.

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification 3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography

Reference 67

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