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Paper Citation Record · LEDGER

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.24351.

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

pith.paper-citation-record.v1
2505.24351 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:58.475368Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

28 of 28 outbound references displayed

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  • verified fuzzy27
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d568115f-1e7b-4f2a-b25e-45a6643d89b3 · outbound

This paper cites Percutaneous coronary intervention in 2018,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Percutaneous coronary intervention in 2018,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0a7b00eb-fd26-447a-b15d-645954b01842 · outbound

This paper cites an unresolved cited work.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Unresolved cited work

Reference 2

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unresolved
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation deaf3ded-867e-4c87-8aab-a863683d653e · outbound

This paper cites A novel 2d-3d registration algorithm for aligning fluoro images with 3d pre-op ct/mr images,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization A novel 2d-3d registration algorithm for aligning fluoro images with 3d pre-op ct/mr images,

Reference 3

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Source-reported events for the cited work

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Observation ee080868-493f-4932-942a-cfac72d92547 · outbound

This paper cites A statistical model of catheter motion from interventional x-ray images: Application to image-based gating,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization A statistical model of catheter motion from interventional x-ray images: Application to image-based gating,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 600b0577-6dac-4179-9135-faf00416d568 · outbound

This paper cites Real-time respiratory signal extraction from x-ray sequences using incremental manifold learning,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Real-time respiratory signal extraction from x-ray sequences using incremental manifold learning,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 733ccf18-bfbb-422b-8297-f1a13fb48b93 · outbound

This paper cites Pca- derived respiratory motion surrogates from x-ray angiograms for per- cutaneous coronary interventions,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Pca- derived respiratory motion surrogates from x-ray angiograms for per- cutaneous coronary interventions,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 13721d30-b439-4ff3-8d3d-44a14483fdb3 · outbound

This paper cites Tracking vessels in x-ray angiogram sequences based on deformable model,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Tracking vessels in x-ray angiogram sequences based on deformable model,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c58fbce1-4667-40f2-8421-bc1fb75de703 · outbound

This paper cites Vessel tree tracking in angiographic sequences,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Vessel tree tracking in angiographic sequences,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 89e2a113-c6fe-4db6-acd4-c7c753e22d2d · outbound

This paper cites Extraction of coronary vessels in fluoroscopic x-ray sequences using vessel corre- spondence optimization,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Extraction of coronary vessels in fluoroscopic x-ray sequences using vessel corre- spondence optimization,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T12:30:02.859077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 51669c8a-98c9-43f5-8f80-5df72d770ffd · outbound

This paper cites Curvilinear structure tracking by low rank tensor approximation with model propagation,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Curvilinear structure tracking by low rank tensor approximation with model propagation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ec933454-79e3-4c80-9a09-e124646dd6db · outbound

This paper cites Structure- aware rank-1 tensor approximation for curvilinear structure tracking using learned hierarchical features,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Structure- aware rank-1 tensor approximation for curvilinear structure tracking using learned hierarchical features,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 35bbaa90-ec11-4374-bb48-c6214bfba881 · outbound

This paper cites Intrinsic 2d/3d registration based on a hybrid approach: use in the radiosurgical imaging process,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Intrinsic 2d/3d registration based on a hybrid approach: use in the radiosurgical imaging process,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a035834d-096b-4ae5-8ce4-e43ba2092dec · outbound

This paper cites 3d-2d registration of cerebral angiograms: a method and evaluation on clinical images,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization 3d-2d registration of cerebral angiograms: a method and evaluation on clinical images,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b6e9be39-9384-4599-a693-f5388560b944 · outbound

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

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization U-net: Convolutional networks for biomedical image segmentation,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2e442749-d4de-47cc-b017-a6d9c2c26626 · outbound

This paper cites K3m: A universal algorithm for image skeletonization and a review of thinning tech- niques,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization K3m: A universal algorithm for image skeletonization and a review of thinning tech- niques,

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 76fa070e-772e-4fdd-8d80-2874b5dc7a0f · outbound

This paper cites Materialise mimics | 3d medical image processing soft- ware: www.materialise.com,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Materialise mimics | 3d medical image processing soft- ware: www.materialise.com,

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 92416e27-c1a3-47a7-8d1c-bf04754375a4 · outbound

This paper cites Cpr-gcn: Condi- tional partial-residual graph convolutional network in automated anatom- ical labeling of coronary arteries,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Cpr-gcn: Condi- tional partial-residual graph convolutional network in automated anatom- ical labeling of coronary arteries,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c5ed4f28-064c-40ee-b514-4e089ce122ea · outbound

This paper cites Particle swarm optimization: developments, applications and resources,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Particle swarm optimization: developments, applications and resources,

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9daec840-e822-4552-932e-a7153dc75141 · outbound

This paper cites A minimum projected-distance test for parametric single-index berkson models,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization A minimum projected-distance test for parametric single-index berkson models,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4dc7668e-8d4e-439b-94a8-fa6df98f1998 · outbound

This paper cites A tree-topology preserv- ing pairing for 3d/2d registration,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization A tree-topology preserv- ing pairing for 3d/2d registration,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f7f03e8e-7f12-4b09-845e-247c3481d53f · outbound

This paper cites 3d-2d registration of cerebral angiograms: A method and evaluation on clinical images,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization 3d-2d registration of cerebral angiograms: A method and evaluation on clinical images,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:30:00.200706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0fb9f988-867b-4973-9d02-133342c5e8f5 · outbound

This paper cites Iterative closest curve: A framework for curvilinear structure registration application to 2d/3d coronary arteries registration,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Iterative closest curve: A framework for curvilinear structure registration application to 2d/3d coronary arteries registration,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 754d0c88-fc98-4b5a-9a8f-3238f2bad75a · outbound

This paper cites Robust point set registration using gaussian mixture models,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Robust point set registration using gaussian mixture models,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T12:29:59.782931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4e90c2db-1036-4721-a8fd-a5dedc6b3d06 · outbound

This paper cites Oriented gaussian mixture models for nonrigid2d/3d coronary artery registration,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Oriented gaussian mixture models for nonrigid2d/3d coronary artery registration,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 09e507ec-3f51-4ecf-bd29-9f952c144907 · outbound

This paper cites Nonrigid 2d/3d regis- tration of coronary artery models with live fluoroscopy for guidance of cardiac interventions,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Nonrigid 2d/3d regis- tration of coronary artery models with live fluoroscopy for guidance of cardiac interventions,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:29:59.340886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5bb93488-255b-4cbf-a6eb-d49b117df116 · outbound

This paper cites Robustness and accuracy of feature-based single image 2-d–3-d registration without correspondences for image-guided intervention,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Robustness and accuracy of feature-based single image 2-d–3-d registration without correspondences for image-guided intervention,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:29:59.130295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:29:58.258743Z digest=sha256:354717f3f73eae6958a34eb0195b019c7d850d866871897601efb06e600bd445

Observation ca664506-5758-4729-a921-6d7745626202 · outbound

This paper cites Car-net: a deep learning-based deformation model for 3d/2d coronary artery registration,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Car-net: a deep learning-based deformation model for 3d/2d coronary artery registration,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:29:58.922623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:29:58.359641Z digest=sha256:5427fc0e4351e96dbc7aec3d5d5b23f920cfc1b9613f33cfcc35248ac50dd99b

Observation 5977e42a-5cc8-4963-b49e-20eb59ba9d9e · outbound

This paper cites Transfer learning for nonrigid 2d/3d cardiovascular images registration,.

A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization Transfer learning for nonrigid 2d/3d cardiovascular images registration,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:29:58.750243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:29:58.475368Z digest=sha256:5dc58ed3f377ea474e64131f76eab5f8393b03f9281684f8f862a475fd748d06

Pith citing papers

No inbound Pith citation observations are available.