Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:58.475368Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy27
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:04.408592Z
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 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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:30:04.248231Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:04.022769Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:03.819754Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:03.645005Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:03.440532Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:03.263031Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:03.087816Z
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 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
- Resolution
- 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 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:02.646154Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:02.375889Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:02.123918Z
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 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
- raw_fallback, observed 2026-08-07T12:30:01.891753Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:01.652164Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:01.474877Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:01.261010Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:01.091394Z
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 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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:30:00.889961Z
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 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
- raw_fallback, observed 2026-08-07T12:30:00.667941Z
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 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
- raw_fallback, observed 2026-08-07T12:30:00.455300Z
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 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 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:29:59.990292Z
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 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
- Resolution
- 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 2026-08-07T06:34:17.273281+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:29:59.574461Z
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 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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.