Paper Citation Record · LEDGER

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2502.06615.

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

pith.paper-citation-record.v1
2502.06615 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:56:03.654126Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201166a2-a804-4a4d-a133-ea86c932ae88 · outbound

This paper cites Automated left atrial time-resolved segmentation in mri long-axis cine images using active contours,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Automated left atrial time-resolved segmentation in mri long-axis cine images using active contours,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.967262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb01f87d-fb82-44f4-b0a5-56a4a6a9a2a6 · outbound

This paper cites Left atrial segmentation challenge: a unified benchmarking framework,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Left atrial segmentation challenge: a unified benchmarking framework,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.954409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54fd368a-a92c-457a-8c32-949b86b295f0 · outbound

This paper cites Lassnet: A four steps deep neural network for left atrial segmentation and scar quantification,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Lassnet: A four steps deep neural network for left atrial segmentation and scar quantification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.940866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3aaa6f4f-50b0-4dbf-a207-d073773a0ad0 · outbound

This paper cites Deep u-net architecture with curriculum learning for left atrial segmentation,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Deep u-net architecture with curriculum learning for left atrial segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.926208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2da75a0-2d1a-42ad-bca8-42f8e0683eda · outbound

This paper cites Transfusion: Efficient vision transformer based on 3d transesophageal echocardio- graphy images for the left atrial appendage segmentation,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Transfusion: Efficient vision transformer based on 3d transesophageal echocardio- graphy images for the left atrial appendage segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.911726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79513c49-f120-48f8-9a6e-ec8ef1c12c40 · outbound

This paper cites Us- former: A small network for left atrium segmentation of 3d lge mri,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Us- former: A small network for left atrium segmentation of 3d lge mri,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.896706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2063b0a-3e4c-4077-b5f3-a009857840f6 · outbound

This paper cites Mlc: Multi-level consistency learning for semi-supervised left atrium segmentation,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Mlc: Multi-level consistency learning for semi-supervised left atrium segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.879766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 260d7832-a86a-4e5c-a72f-368bc4470412 · outbound

This paper cites A generalizable 3D framework and model for self-supervised learning in medical imaging.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images A generalizable 3D framework and model for self-supervised learning in medical imaging

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:56:03.765871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a6f7ea0-ebff-45cb-866e-98d8565ee7d8 · outbound

This paper cites Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.519595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04b3c13-f239-4950-984e-8a4f20115116 · outbound

This paper cites Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.535481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a202f083-d43d-4410-a6fd-39721bf6b61f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images DINOv2: Learning Robust Visual Features without Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.555610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349caef5-717f-4541-8ca5-8f0980399cde · outbound

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

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images U-net: Convolutional networks for biomedical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.863288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a88d4cd3-b745-460c-ad36-28461338583c · outbound

This paper cites Left atrial and scar quantification & segmentation challenge.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Left atrial and scar quantification & segmentation challenge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.846235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7be98503-2341-4e74-8d55-d63fed6dc45b · outbound

This paper cites Research computing services,.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Research computing services,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.830761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9be18180-eca1-4135-8fcc-cb883508c8b9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Decoupled Weight Decay Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.649073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc685e87-0dcb-4d24-8ced-bf910b9f5b3c · outbound

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

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:56:03.811055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.