Paper Citation Record · LEDGER

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.09381.

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

pith.paper-citation-record.v1
2508.09381 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

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measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 537cdc5a-9503-4bd6-9900-1b9fc0428328 · outbound

This paper cites Scientific Reports11(1), 7769 (2021).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Scientific Reports11(1), 7769 (2021)

Reference 1

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Observation a3928715-d420-4c76-9b8c-c041dcd905bb · outbound

This paper cites In: International Conference on Medical Image Com- puting and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (ISIC).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: International Conference on Medical Image Com- puting and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (ISIC)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.925439Z

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Observation 5689bb87-64e0-419a-bf1a-e8bdee784ae2 · outbound

This paper cites Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses

Reference 3

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Observation dd2ad0a8-b4db-4216-94aa-3951d4b50df7 · outbound

This paper cites Artificial Intelligence Review54(1), 137–178 (2021).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Artificial Intelligence Review54(1), 137–178 (2021)

Reference 4

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Observation 2c8dc2f4-5d40-48eb-b335-f00b3ce4a94d · outbound

This paper cites In: Color Medical Image Analysis, pp.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Color Medical Image Analysis, pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.905689Z

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Observation f9885031-3b15-4439-aa9e-104342ab2167 · outbound

This paper cites Economet- rica 71(1), 71–104 (2003).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Economet- rica 71(1), 71–104 (2003)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.896754Z

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Observation d2a9a06b-a005-4005-b930-475ad9c2192b · outbound

This paper cites Dermoscopy Image Analysis10(1), 97–129 (2015).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Dermoscopy Image Analysis10(1), 97–129 (2015)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.888032Z

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Observation 8029fb50-e490-4043-8d3f-2c083efc285e · outbound

This paper cites In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.878764Z

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Observation 4455e984-c413-453f-bc29-7ff4191905c6 · outbound

This paper cites an unresolved cited work.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Unresolved cited work

Reference 9

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Observation 8f3f67bf-d2b2-4065-b391-82d2c6fd9faf · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 10

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Source-reported events for the cited work

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Observation b5dfcb47-53ea-4871-99e9-dbc7853c5da6 · outbound

This paper cites In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.860833Z

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Observation a76b1aa4-4a6f-4bee-a1dd-fd1baf4778bf · outbound

This paper cites Routledge (2013).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Routledge (2013)

Reference 12

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Observation ea935e25-37bb-4005-8ab5-62a796c04612 · outbound

This paper cites Skin Research and Technology18(3), 311–315 (2012).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Skin Research and Technology18(3), 311–315 (2012)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:16.506690Z

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Observation a38e8f8c-d0e7-4f3c-bd5c-7151271a562b · outbound

This paper cites The Spine Journal14(10), 2442–2448 (2014).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? The Spine Journal14(10), 2442–2448 (2014)

Reference 14

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Observation 6805ba67-8d31-4697-9523-e98ce9411c99 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Proceedings of the IEEE International Conference on Computer Vision

Reference 15

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Observation 6b285828-0dba-4135-a09c-fd6f3ac2a6bc · outbound

This paper cites In: Bragg, D.G., Rubin, P., Hricak, H.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Bragg, D.G., Rubin, P., Hricak, H

Reference 16

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Observation ac39e66f-0f35-4f6e-b625-bc49aeb74496 · outbound

This paper cites Medical Image Analysis 94, 103141 (2024).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Medical Image Analysis 94, 103141 (2024)

Reference 17

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This paper cites Computers in Biology and Medicine 155, 106624 (2023).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Computers in Biology and Medicine 155, 106624 (2023)

Reference 18

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Observation a80b8806-0b6b-4d27-afad-1cdd379eaecc · outbound

This paper cites Scientific Data11(1), 641 (2024).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Scientific Data11(1), 641 (2024)

Reference 19

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Observation 26562494-879e-466c-9516-491cc95a4d5d · outbound

This paper cites IEEE Journal of iomedical and Health Informatics23(2), 538–546 (2018).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? IEEE Journal of iomedical and Health Informatics23(2), 538–546 (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:15.488016Z

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Observation 5c603d3d-fcde-4d50-8624-a7376e1d9e29 · outbound

This paper cites BMC Bioinformatics17(Suppl 13), 367 (2016).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? BMC Bioinformatics17(Suppl 13), 367 (2016)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:15.345284Z

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Observation 4221b80b-a955-4649-a27e-66ce58ac1d14 · outbound

This paper cites Artificial Intelligence in Medicine56(2), 69–90 (2012).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Artificial Intelligence in Medicine56(2), 69–90 (2012)

Reference 22

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Observation 4b78ea21-387d-41d7-ba75-f1cf894d26f5 · outbound

This paper cites PySDTest: a Python/Stata Package for Stochastic Dominance Tests.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? PySDTest: a Python/Stata Package for Stochastic Dominance Tests

Reference 23

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Observation db91c8de-9142-495a-951d-f06963ff5a7f · outbound

This paper cites In: Proc.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Proc

Reference 24

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Observation a2a621fc-a6eb-4bc7-8425-5ce7d4c647fd · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Proceedings of the IEEE International Conference on Computer Vision

Reference 25

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This paper cites Computer Methods and Programs in Biomedicine215, 106620 (2022).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Computer Methods and Programs in Biomedicine215, 106620 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:14.865450Z

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Observation f6eb32b9-a3ba-4b4a-b67e-306242946e09 · outbound

This paper cites The Annals of Mathematical Statistics pp.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? The Annals of Mathematical Statistics pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:14.701072Z

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Observation 9e0d5e08-ce2f-4c5b-973a-de7fa4405425 · outbound

This paper cites Journal of Machine Learning Research17(81), 1–32 (2016).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Journal of Machine Learning Research17(81), 1–32 (2016)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:14.539640Z

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This paper cites Med- ical Image Analysis88, 102863 (2023).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Med- ical Image Analysis88, 102863 (2023)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:14.342868Z

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Observation ef6e2c27-d79a-4c72-87b7-14a6fc8d70c0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ISIC Skin Image Analysis Workshop (ISIC).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ISIC Skin Image Analysis Workshop (ISIC)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:14.148527Z

Source-reported events for the cited work

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Observation e4d0fa4c-00ee-44f7-b8f1-71d9c0a7e910 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Safe Artificial Intelligence for All Domains (SAIAD).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Safe Artificial Intelligence for All Domains (SAIAD)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:13.895296Z

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Observation ee50a6e5-6ae1-48d1-bc2b-74842c3b3cea · outbound

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What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Unresolved cited work

Reference 32

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Observation 1aeb47b8-b3cf-4631-95c0-cf909a1455c9 · outbound

This paper cites Machine Learning for Biomedical Imaging1, 1–26 (Dec 2021).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Machine Learning for Biomedical Imaging1, 1–26 (Dec 2021)

Reference 33

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Observation 2210f96c-5683-471a-998f-67539c770bc4 · outbound

This paper cites Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation

Reference 34

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Observation c601c3f6-7c9c-43b5-ae45-f2ddfdd3c147 · outbound

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What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Unresolved cited work

Reference 35

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Observation c3d5eb13-76b1-47c9-80fb-c266fdec12c5 · outbound

This paper cites In: 2006 International Conference on Image Process- ing.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? In: 2006 International Conference on Image Process- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:13.036903Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ed98621-1911-430a-8782-50277d91a9eb · outbound

This paper cites European Radiology21(12), 2475–2483 (2011).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? European Radiology21(12), 2475–2483 (2011)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:12.812387Z

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Observation 794e8015-2437-4270-ad50-4196abe5ce3c · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 24(10), 2912–2921 (2020) 12 Abhishek et al.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? IEEE Journal of Biomedical and Health Informatics 24(10), 2912–2921 (2020) 12 Abhishek et al

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:12.589687Z

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Observation 69bf07ef-6889-433e-a781-6ce30c61f4b6 · outbound

This paper cites Scientific Data 5(1), 1–9 (2018).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Scientific Data 5(1), 1–9 (2018)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:12.411550Z

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Observation a2c034d2-6dd3-4693-9281-dfe207956bb2 · outbound

This paper cites Computers in Biology and Medicine104, 111–116 (2019).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Computers in Biology and Medicine104, 111–116 (2019)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:12.158528Z

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Observation 9f56c3d7-de8c-4449-a2da-1f8d5b67700c · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? IEEE Transactions on Medical Imaging (2025)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:11.987996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95f0783d-2ba4-4e07-9b21-9fe99b94d5f0 · outbound

This paper cites MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries

Reference 42

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Observation 98c008d3-1c05-43da-8e90-cb30c028b750 · outbound

This paper cites Cambridge University Press (2019).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Cambridge University Press (2019)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:11.770740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30ca26a0-6268-4781-b112-93dd077c86dd · outbound

This paper cites JAMA Dermatology 157(9), 1078–1088 (2021).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? JAMA Dermatology 157(9), 1078–1088 (2021)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:11.593104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4545c5dd-6201-4598-b9f3-ac82ed1e9ac7 · outbound

This paper cites IEEE Transactions on Medical Imaging 39(7), 2482–2493 (2020).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? IEEE Transactions on Medical Imaging 39(7), 2482–2493 (2020)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:11.401261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0be1d627-9106-4c42-a5d1-76c05e91ada1 · outbound

This paper cites A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:10.154747Z

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Observation ebe6ba63-42da-44f0-8680-3569c6e41f5e · outbound

This paper cites That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:10.237847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e28cef-d9dc-47eb-b030-464a52968602 · outbound

This paper cites Computers in Biology and Medicine153, 106496 (2023).

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? Computers in Biology and Medicine153, 106496 (2023)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:11.256283Z

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