Paper Citation Record · LEDGER

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.20407.

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

pith.paper-citation-record.v1
2506.20407 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:54:20.405076Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation fab21dae-1a17-4de3-bd7d-28d8ea3f26e9 · outbound

This paper cites https://medlineplus.gov/ency/article/002367.htm, last ac- cessed 2025-01-24.

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images https://medlineplus.gov/ency/article/002367.htm, last ac- cessed 2025-01-24

Reference 1

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Observation ef8ab79a-63b0-4c55-b787-0eac98e1daa3 · outbound

This paper cites Nature Communications5(1), 4006 (Jun 2014).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Nature Communications5(1), 4006 (Jun 2014)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:28.497177Z

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Observation 8f0097e2-7f39-45b5-b966-155e75ea0a08 · outbound

This paper cites Data in Brief 51, 109708 (Dec 2023).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Data in Brief 51, 109708 (Dec 2023)

Reference 3

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Observation ec5798a2-b59e-4a23-a09f-87570e6688f3 · outbound

This paper cites Scientific Reports10(1), 10200 (Dec 2020).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Scientific Reports10(1), 10200 (Dec 2020)

Reference 4

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This paper cites an unresolved cited work.

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Unresolved cited work

Reference 5

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Observation bea4e5f8-2a02-427d-8b59-3809893525e6 · outbound

This paper cites ICLR (2021).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images ICLR (2021)

Reference 6

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Observation 73cf1e06-bcea-4e2d-870f-7e5ca7d83282 · outbound

This paper cites Medical Physics48(12), 7685–7697 (2021).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Medical Physics48(12), 7685–7697 (2021)

Reference 7

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Observation bab58ce1-d67f-4619-910c-7675f737dd8c · outbound

This paper cites Medical Image Analysis 83, 102629 (Jan 2023).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Medical Image Analysis 83, 102629 (Jan 2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:27.022104Z

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Observation dd15e997-294e-4fc0-8397-ee992106dfb9 · outbound

This paper cites Cancer Research77(21), e104–e107 (Oct 2017).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Cancer Research77(21), e104–e107 (Oct 2017)

Reference 9

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Observation b447c5c9-2505-4377-82bb-70eb0bffe973 · outbound

This paper cites In: proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:26.442791Z

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Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Unresolved cited work

Reference 11

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Observation a284e520-e814-47f8-8f68-69a7e58acb78 · outbound

This paper cites PLOS ONE 13(8), 1–20 (Aug 2018).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images PLOS ONE 13(8), 1–20 (Aug 2018)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:25.935335Z

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Observation 6590bb0c-b85a-497c-9481-f7c1025436d1 · outbound

This paper cites In: proceedings of International Conference on Computer Vision (ICCV) (2019).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: proceedings of International Conference on Computer Vision (ICCV) (2019)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:25.696776Z

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Observation c764a649-61bc-4d7d-9190-4cd82fc83017 · outbound

This paper cites JAMA Network Open 6(1), e2248685–e2248685 (Jan 2023).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images JAMA Network Open 6(1), e2248685–e2248685 (Jan 2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:25.568606Z

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Observation 9be9b461-e27c-4036-8a35-3cd105d8b6a8 · outbound

This paper cites npj Digital Medicine6(1), 36 (Mar 2023).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images npj Digital Medicine6(1), 36 (Mar 2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:25.193915Z

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Observation c0f57ff9-37b7-41bc-9fa1-2344366b9ef0 · outbound

This paper cites In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 16

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Observation 861bcfa4-2f70-4583-9028-b0894bcf4f60 · outbound

This paper cites In: proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:24.461314Z

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Observation e4742004-5b4c-46b0-b91f-1b081f3c0d95 · outbound

This paper cites Ultrasound17(3), 160–166 (2009).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Ultrasound17(3), 160–166 (2009)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:24.146031Z

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Observation e9aec27e-8166-4f61-9f9d-1e28c6b6fbb5 · outbound

This paper cites In: Fetal, Infant and Ophthalmic Med- ical Image Analysis.

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: Fetal, Infant and Ophthalmic Med- ical Image Analysis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:23.752105Z

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Observation 8435e859-cc45-4af4-99ab-c7ef24d2f3df · outbound

This paper cites Frontiers in Global Women’s Health6 (2025).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Frontiers in Global Women’s Health6 (2025)

Reference 20

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Observation d55aa54b-4b99-4e3c-b457-5c3a9164a6e7 · outbound

This paper cites Ultrasound in Obstetrics & Gynecology48(6), 719–726 (2016).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Ultrasound in Obstetrics & Gynecology48(6), 719–726 (2016)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:23.122979Z

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Observation 0c42e87c-4c69-4d13-9448-51fd0e4b20af · outbound

This paper cites Ultrasound in Obstetrics & Gynecology37(1), 116–126 (2011).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Ultrasound in Obstetrics & Gynecology37(1), 116–126 (2011)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:22.767783Z

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Observation 60d657de-5259-482d-a5ca-10e69c5a2962 · outbound

This paper cites In: proceedings of International Conference on Computer Vision (2017) Fusing Radiomic Features and DL Representations for GA Estimation 11.

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: proceedings of International Conference on Computer Vision (2017) Fusing Radiomic Features and DL Representations for GA Estimation 11

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:22.423180Z

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Observation 2c3e3652-1d40-4ed0-837e-890c9d5cfcfc · outbound

This paper cites Journal of South Asian Federation of Obstetrics and Gynaecology 12(4), 235–238 (2020).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Journal of South Asian Federation of Obstetrics and Gynaecology 12(4), 235–238 (2020)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:22.077491Z

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Observation 7c7847fe-790e-4029-9a55-b14b1b79c5e2 · outbound

This paper cites In: Meila, M., Zhang, T.

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: Meila, M., Zhang, T

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:21.746236Z

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 66449549-7060-412d-bb8d-bc64a3afe7d9 · outbound

This paper cites In: European Conference on Computer Vision (ECCV).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images In: European Conference on Computer Vision (ECCV)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:21.426761Z

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Observation eea6b66e-6525-48c9-8fed-863b3451653e · outbound

This paper cites Child’s Nervous System36(12), 2989–2995 (Dec 2020).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Child’s Nervous System36(12), 2989–2995 (Dec 2020)

Reference 27

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Source-reported events for the cited work

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Observation fb0357e7-518c-4abd-b519-e0fdc4cab531 · outbound

This paper cites Medical & Biological Engineering & Computing62(12), 3581–3597 (Dec 2024).

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images Medical & Biological Engineering & Computing62(12), 3581–3597 (Dec 2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:54:20.687238Z

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

Pith citing papers

No inbound Pith citation observations are available.