Paper Citation Record · LEDGER

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2501.14592.

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

pith.paper-citation-record.v1
2501.14592 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:04:25.701925Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:06:17.104692Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:04:25.804993Z

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy24
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff9f5c2b-4c63-49c4-9dff-56e3082fef2e · outbound

This paper cites Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T15:04:25.811636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f36f0ec-8b09-4f6f-9be4-92ba311a76cf · outbound

This paper cites Symmetric Rotation-Equivariant (SRE) Convolution CNNs are equivariant with respect to translation.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Symmetric Rotation-Equivariant (SRE) Convolution CNNs are equivariant with respect to translation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.233250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45df80ef-80be-4170-8476-6e15afeecbf8 · outbound

This paper cites Experimental Setup Dataset: We evaluate using the public retina vessel DRIVE dataset [19], which consists of 40 2D RGB fundus images with paired binary vessel segmentation labels.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Experimental Setup Dataset: We evaluate using the public retina vessel DRIVE dataset [19], which consists of 40 2D RGB fundus images with paired binary vessel segmentation labels

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.217142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60406ba6-c14d-4574-90a3-9034166ca87d · outbound

This paper cites We integrate this kernel into the standard U-Net framework to learn rotation- and reflection-equivariant segmentation features, while also reducing the model size.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net We integrate this kernel into the standard U-Net framework to learn rotation- and reflection-equivariant segmentation features, while also reducing the model size

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.200180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67cc9573-b8dc-4d7e-be62-265f5e987843 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net U-net: Convolutional networks for biomedical image segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.184569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bce8542-7f60-411a-bb9d-f8fd620d98b4 · outbound

This paper cites Learning calibrated medi- cal image segmentation via multi-rater agreement mod- eling,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Learning calibrated medi- cal image segmentation via multi-rater agreement mod- eling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.168620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 135986be-1b95-4821-bfa9-4873b99ae6f1 · outbound

This paper cites nnu- net: a self-configuring method for deep learning-based biomedical image segmentation,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net nnu- net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.150239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33409b42-e6b3-4144-a4bf-a43f3ffe4f06 · outbound

This paper cites Atlas-based semantic segmentation of prostate zones,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Atlas-based semantic segmentation of prostate zones,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.132185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a058ec7b-c945-4564-b96e-97f69d9cda49 · outbound

This paper cites Exploiting cyclic symmetry in convo- lutional neural networks,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Exploiting cyclic symmetry in convo- lutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.114406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c1c6a0f-4baf-4a8f-a24d-ea36d6d0ce47 · outbound

This paper cites Rotation equivari- ant and invariant neural networks for microscopy image analysis,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Rotation equivari- ant and invariant neural networks for microscopy image analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.096500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7179be8e-40cc-47f1-a94f-21e107ab31eb · outbound

This paper cites Group equivariant con- volutional networks,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Group equivariant con- volutional networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.079235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f1afc23-fdb0-4d4e-b5ae-3635e769800f · outbound

This paper cites Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:04:25.785589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c7fef00-cd7b-4ee3-acbe-326ea81839f4 · outbound

This paper cites Improved semantic segmentation for histopathology using rotation equivari- ant convolutional networks,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Improved semantic segmentation for histopathology using rotation equivari- ant convolutional networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.062487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0da7d965-3935-43e6-a036-d0f5d75d9b7e · outbound

This paper cites Beyond cnns: ex- ploiting further inherent symmetries in medical image segmentation,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Beyond cnns: ex- ploiting further inherent symmetries in medical image segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.043840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f45a5a74-e045-41bd-84a3-e547ad6ce2d3 · outbound

This paper cites Rotation-equivariant semantic instance segmentation on biomedical images,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Rotation-equivariant semantic instance segmentation on biomedical images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.024387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51a13f39-2e1b-4697-a292-9803ca0a529c · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Harmonic networks: Deep translation and rotation equivariance,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:26.006220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 357d16b9-a5ae-4d9e-960a-0ea142f6dc45 · outbound

This paper cites Learning steerable filters for rotation equivariant cnns,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Learning steerable filters for rotation equivariant cnns,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.988173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a075ca8b-8024-4144-9a6b-dccae44e8a03 · outbound

This paper cites General e (2)- equivariant steerable cnns,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net General e (2)- equivariant steerable cnns,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.971733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6bdd8525-eee9-453c-acc2-d3c577359b33 · outbound

This paper cites A program to build E(N)-equivariant steerable CNNs,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net A program to build E(N)-equivariant steerable CNNs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.954065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4173412a-fc8e-411f-a79f-0b1313b2452f · outbound

This paper cites Use of sym- metric kernels for convolutional neural networks,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Use of sym- metric kernels for convolutional neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.936759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88cd15b4-727e-46ec-9a3f-a7402e4e7017 · outbound

This paper cites Rotated ring, radial and depth wise separable radial convolutions,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Rotated ring, radial and depth wise separable radial convolutions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.919927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8de0e8e-d9c2-495d-8566-4c2dbf660113 · outbound

This paper cites SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:04:25.758699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dea373f9-82e6-4a90-8978-d875210dbf5b · outbound

This paper cites Ridge-based vessel segmentation in color images of the retina,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Ridge-based vessel segmentation in color images of the retina,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.902951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3469e3bf-c257-4bdd-80f8-a65e28ad1c99 · outbound

This paper cites Full-resolution net- work and dual-threshold iteration for retinal vessel and coronary angiograph segmentation,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Full-resolution net- work and dual-threshold iteration for retinal vessel and coronary angiograph segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.886923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fec663a-30d9-4389-9292-8b8224385f5b · outbound

This paper cites Multiscale vessel enhancement filtering,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Multiscale vessel enhancement filtering,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.869305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec1a57c2-fb10-4dd5-b903-b17d74b20725 · outbound

This paper cites Attention gated networks: Learning to leverage salient regions in medi- cal images,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Attention gated networks: Learning to leverage salient regions in medi- cal images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.850131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f365de0f-5f19-4b5c-8e3b-5331557c129c · outbound

This paper cites Unet++: Re- designing skip connections to exploit multiscale features in image segmentation,.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Unet++: Re- designing skip connections to exploit multiscale features in image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:04:25.832090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation ff9f5c2b-4c63-49c4-9dff-56e3082fef2e · inbound