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Paper Citation Record · LEDGER

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.14572.

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

pith.paper-citation-record.v1
2505.14572 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:32.094544Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

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

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation 00b05ad9-a131-4e08-9f38-ada77158c6d8 · outbound

This paper cites Frontiers in physiology13, 940150 (2022) Title Suppressed Due to Excessive Length 15.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Frontiers in physiology13, 940150 (2022) Title Suppressed Due to Excessive Length 15

Reference 1

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Observation 894d6f91-502b-4724-b1fd-5de482f158c3 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images In: Proceedings of the European conference on computer vision (ECCV)

Reference 2

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Observation 2e3e2b6f-c5ff-49d6-a9d4-60300158a0fe · outbound

This paper cites Advances in neural information processing systems30(2017).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Advances in neural information processing systems30(2017)

Reference 3

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Observation fcccaa64-4bb8-45f2-b4ca-289d01fd8eb6 · outbound

This paper cites Expert Systems with Applications245, 123096 (2024).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Expert Systems with Applications245, 123096 (2024)

Reference 4

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Observation c9a148de-30a4-4602-acc5-d2e55c10fc16 · outbound

This paper cites In: Jawahar, C.V., Li, H., Mori, G., Schindler, K.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images In: Jawahar, C.V., Li, H., Mori, G., Schindler, K

Reference 5

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Source-reported events for the cited work

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Observation 7141fc1f-45bd-4606-81bb-4349d665f503 · outbound

This paper cites IEEE Access8, 179656–179665 (2020).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images IEEE Access8, 179656–179665 (2020)

Reference 6

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Source-reported events for the cited work

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Observation 441716cf-2151-4685-a6b6-9933a8a788d0 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Deep Ensembles: A Loss Landscape Perspective

Reference 7

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Observation a427b01b-b138-4da4-a1f1-913773fedfbb · outbound

This paper cites Ultrasound in Obstetrics & Gynecology52(1), 128–139 (2018).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Ultrasound in Obstetrics & Gynecology52(1), 128–139 (2018)

Reference 8

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Observation 7559c8f1-fe5c-47dd-859c-741d1aa890c2 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Deep Residual Learning for Image Recognition

Reference 9

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Observation cdcd9098-0123-4ad0-ab35-905a59113f64 · outbound

This paper cites Densely Connected Convolutional Networks.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Densely Connected Convolutional Networks

Reference 10

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Observation 5850bfe4-b96f-43b4-bceb-d3caa4eeaa54 · outbound

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Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Unresolved cited work

Reference 11

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Observation 6e7833f6-23bf-4096-b0c5-ecba3c5cdc31 · outbound

This paper cites an unresolved cited work.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Unresolved cited work

Reference 12

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Observation 3e88aa6e-407b-4355-afd3-7d5f9a99c5f1 · outbound

This paper cites Advances in neural information processing systems30(2017).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Advances in neural information processing systems30(2017)

Reference 13

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Observation dfbc3def-e85b-4a64-9556-d82efa799f81 · outbound

This paper cites A ConvNet for the 2020s.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images A ConvNet for the 2020s

Reference 14

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Observation dc941e8f-bb09-462b-adfb-e0b24a43f09a · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

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Observation 982083d1-579f-4e23-81c6-c6be704121f8 · outbound

This paper cites In: Medical image computing and computer- assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images In: Medical image computing and computer- assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18

Reference 16

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Source-reported events for the cited work

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Observation f52a6e08-3c6d-4b7f-addf-9cd1eac1385c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

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Observation 70b88964-c8f1-4c87-a092-5b7fad4caa4f · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 18

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Observation 7db232a6-5dd5-442e-b531-2ad530f4d1b8 · outbound

This paper cites EfficientNetV2: Smaller Models and Faster Training.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images EfficientNetV2: Smaller Models and Faster Training

Reference 19

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Observation e09282e9-faa7-4dc4-98ec-43e3e9deec7e · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d2d73cdc-8f05-46b9-a10d-8a34a7814c64 · outbound

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Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Ramesh et al

Reference 21

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Observation 6e19afb1-a13f-4db5-b9f3-3855e6992621 · outbound

This paper cites Pattern Recognition135, 109131 (2023).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Pattern Recognition135, 109131 (2023)

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 15b00d87-57f0-435d-973d-a97aa72bacca · outbound

This paper cites Wide Residual Networks.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images Wide Residual Networks

Reference 23

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Observation 98839070-557d-47bc-9252-7c6f93a0e378 · outbound

This paper cites IEEE transactions on medical imaging39(6), 1856–1867 (2019).

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images IEEE transactions on medical imaging39(6), 1856–1867 (2019)

Reference 24

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Pith citing papers

No inbound Pith citation observations are available.