Paper Citation Record · LEDGER

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2504.13340.

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

pith.paper-citation-record.v1
2504.13340 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:07.675438Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:03:10.454195Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

49 of 49 outbound references displayed

verified exact14
verified fuzzy7
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9bcb662b-e672-412a-80f2-a1899dfac31c · outbound

This paper cites Medical Image Segmentation Review: The success of U-Net.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Medical Image Segmentation Review: The success of U-Net

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.465820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bda3e38-074e-48df-8dbb-018de58b7f36 · outbound

This paper cites Elon Gale, Sara McLaughlin, Thomas A.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Elon Gale, Sara McLaughlin, Thomas A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.449725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aeb6766a-40d1-4653-a2e1-d339a3edb673 · outbound

This paper cites Buckwalter, Charles Saltzman, and Thomas Brown.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Buckwalter, Charles Saltzman, and Thomas Brown

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-16T12:13:08.287093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 22d64af3-2064-4200-afb3-772ddd4c30ca · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:13:08.434985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 867c3e85-e5ef-4514-b59a-c75e7a749ebd · outbound

This paper cites SAM-Med2D.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance SAM-Med2D

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.487433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79e86603-9e53-4fc2-8ed1-3a9d3245007d · outbound

This paper cites Lienkamp, Thomas Brox, and Olaf Ron- neberger.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Lienkamp, Thomas Brox, and Olaf Ron- neberger

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.491890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c81ab4-5f7d-4ef8-a389-f1716e6e21b6 · outbound

This paper cites van Riel, Kaman Chung, Ernst Th.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance van Riel, Kaman Chung, Ernst Th

Reference 7

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.923122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce69eeec-edff-4dd3-b8cf-2d8ea48c7f28 · outbound

This paper cites Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.500216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa905f9-b9d9-48c1-8d5b-a2e2edaf3c64 · outbound

This paper cites The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:13:08.190271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44e91eb4-8793-41e4-b878-ffef0bbc10df · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.910488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 688a37ab-faa9-4d6d-866c-953c088836fe · outbound

This paper cites Englund, J.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Englund, J

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.512581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c7cff8-8ba9-4e36-88ea-a0f0884a93a9 · outbound

This paper cites Fithian, Michael A.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Fithian, Michael A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.423251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 104abc5f-97a8-4a29-a3c3-f4227a4dfce0 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:13:08.412086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a382fda-0d2b-449b-88b5-66e8dfdc8c9f · outbound

This paper cites Huttenlocher, G.A.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Huttenlocher, G.A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.530460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca585f8-418e-4277-a97e-74cdc6a29f01 · outbound

This paper cites A survey of loss functions for semantic segmentation.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance A survey of loss functions for semantic segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.534446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec95f6c-b271-43b5-b8e1-72976d3dce7b · outbound

This paper cites Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.538168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce7110e-8ef7-402a-9e18-2b1b9c5fb5bd · outbound

This paper cites Johnson and David J.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Johnson and David J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.399862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fc16417-56f2-45e8-bc7d-7e393fed62fc · outbound

This paper cites Segment Anything.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Segment Anything

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.550979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f00a86e7-8eba-4d3a-a7fc-29c8696a168c · outbound

This paper cites Kornaat, Johan L.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Kornaat, Johan L

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.555397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38480bfa-ba49-4b00-8820-c5b146781d1f · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance ImageNet Classification with Deep Convolutional Neural Networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.388174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10ccee73-5472-4756-bb70-c0344c9815a4 · outbound

This paper cites Weaver, Robert D.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Weaver, Robert D

Reference 21

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.859239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88d728f1-68f1-4ddf-a31d-f68460aab766 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.571929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c56353ae-f756-41a3-be49-8b00fd8ed49f · outbound

This paper cites A Multi-scale CNN and Cur- riculum Learning Strategy for Mammogram Classification.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance A Multi-scale CNN and Cur- riculum Learning Strategy for Mammogram Classification

Reference 23

Resolution: verified exact; doi, observed 2026-08-16T12:13:08.375674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48cb17f4-5433-4ce9-adb1-97542b2de803 · outbound

This paper cites Segment Anything in Medical Images.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Segment Anything in Medical Images

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.581365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10067c6-00da-4a54-97b0-a278ef8f0653 · outbound

This paper cites Makris, Pasha Hadidi, and Kyriacos A.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Makris, Pasha Hadidi, and Kyriacos A

Reference 25

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.841229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6aaafd5-c11e-485d-b922-5f38a0a020dc · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.828222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9455246-345b-42a0-bf5f-beb130197130 · outbound

This paper cites Martin Bland and Douglas G.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Martin Bland and Douglas G

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.595505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df5539b-3fc8-4766-a518-abb4b73b64c1 · outbound

This paper cites Man- ual segmentation versus semi-automated segmentation for quantifying vestibu- 14 MILLS ET AL.: PUTTING SAM TO THE TEST WITH 3D KNEE MRI lar schwannoma volume on MRI.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Man- ual segmentation versus semi-automated segmentation for quantifying vestibu- 14 MILLS ET AL.: PUTTING SAM TO THE TEST WITH 3D KNEE MRI lar schwannoma volume on MRI

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.362488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffa14365-25d3-480c-b5c2-f7d8c6db6f47 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.608272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f4e756-42d6-47e6-ac8b-87bac95ff047 · outbound

This paper cites The osteoarthritis initiative.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance The osteoarthritis initiative

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.350323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca8f9ecc-2dd2-4ddc-98a0-07b743172978 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.616828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e489ef85-9661-4bae-a393-0af674396ec5 · outbound

This paper cites Auto- matic segmentation of knee menisci – A systematic review.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Auto- matic segmentation of knee menisci – A systematic review

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.620560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5877b367-0577-4352-85f5-f7683dd19500 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.624989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f830514e-8e99-45ea-9979-2b4788c2e608 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:13:08.337740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2364e41c-8696-42c4-afb9-52a9bf5a4966 · outbound

This paper cites Elkin, and Vijay Devabhaktuni.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Elkin, and Vijay Devabhaktuni

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.636725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf7f2a3-5bbd-405e-8aa1-d367f40840b1 · outbound

This paper cites Swain, A.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Swain, A

Reference 36

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.756246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9e3d1e3-f15d-4e26-8697-7719d560c9fd · outbound

This paper cites Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.649370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119a3fb6-2a9a-4855-8f73-8ebb70a8d574 · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.653311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2643168-1f64-4f15-a760-8814785f150b · outbound

This paper cites Frobell, Richard B.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Frobell, Richard B

Reference 39

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.732333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d653efdf-963d-4858-8f02-68c3ffd7fe86 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.662562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e56040b-2294-445d-8cde-b8ec628e9807 · outbound

This paper cites Yang, Qingchen Zhang, David Armstrong, and M.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Yang, Qingchen Zhang, David Armstrong, and M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:13:08.312429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a3b5630-4088-4d3c-baf8-8f06a3092295 · outbound

This paper cites an unresolved cited work.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:13:08.323894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd4e5fa2-ba9c-404b-8676-ba64e3ce608a · outbound

This paper cites doi: 10.1016/j.neucom.2020.04.157.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance doi: 10.1016/j.neucom.2020.04.157

Reference 48

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.716112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 086949fc-37ed-4c10-8544-06e4715b900d · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Customized Segment Anything Model for Medical Image Segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.675438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30b4ddc-2bf9-43b1-a1e7-70bf5e1d14e6 · outbound

This paper cites URL https://www.ncbi.nlm.nih.gov/ pmc/articles/PMC3467755/.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance URL https://www.ncbi.nlm.nih.gov/ pmc/articles/PMC3467755/

Reference 1984

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.942264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9d04510-5328-4875-a8a4-dbf572d6b3ee · outbound

This paper cites doi: 10.1016/j.media.2020.101821.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance doi: 10.1016/j.media.2020.101821

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.525423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bf542b2-5113-44ee-a888-b1746b163fd7 · outbound

This paper cites doi: 10.1007/s12065-020-00540-3.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance doi: 10.1007/s12065-020-00540-3

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.633030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1822b6e-efbb-4901-a4a3-03ab616cd956 · outbound

This paper cites URL https://doi.org/10.1007/ s11548-020-02222-y.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance URL https://doi.org/10.1007/ s11548-020-02222-y

Reference 6429

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.808332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0dfb0a28-3895-49a0-a049-65a90e5f0542 · outbound

This paper cites URL https://www.sciencedirect.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance URL https://www.sciencedirect

Reference 6942

Resolution: verified exact; doi, observed 2026-08-16T12:13:07.881792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 4168b2c9-575e-402c-b5cf-c831fd4ad76c · inbound

A Systematic Benchmark of Intensity Normalisation Methods for 3D Knee MRI Segmentation and Cross-Domain Generalisability cites this paper.

A Systematic Benchmark of Intensity Normalisation Methods for 3D Knee MRI Segmentation and Cross-Domain Generalisability Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Reference 29

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