Paper Citation Record · LEDGER

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:1908.07344.

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

pith.paper-citation-record.v1
1908.07344 v3

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:23:15.282367Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:03.498826Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:46:04.483685Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28668c1c-9e07-45d2-9353-68a4ce66b816 · outbound

This paper cites Multivariate mixture model for cardiac segmentation from multi- sequence MRI.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Multivariate mixture model for cardiac segmentation from multi- sequence MRI

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.549096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 300c0955-43e2-4fba-8a13-3f1b882773b7 · outbound

This paper cites Automatic myocardium segmentation of LGE MRI by deformable models with prior shape data.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Automatic myocardium segmentation of LGE MRI by deformable models with prior shape data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.533322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ff08e14-3683-48bf-a08e-779a2a16fb65 · outbound

This paper cites Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.517135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00dc45aa-9a99-4c90-95e1-2006d92a25d6 · outbound

This paper cites Multivariate mixture model for myocardium segmentation com- bining multi-source images.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Multivariate mixture model for myocardium segmentation com- bining multi-source images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.500962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 562ce8ee-fadb-4946-837e-f40d2925646e · outbound

This paper cites Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.483901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efe442a9-bf1f-4e8e-8e99-f9e324b9d19a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmen- tation.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation U-net: Convolutional networks for biomedical image segmen- tation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.466321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 374d6d68-2e99-4feb-a0d7-77d768e1d398 · outbound

This paper cites Multimodal unsupervised image-to-image translation.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Multimodal unsupervised image-to-image translation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.449611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32005975-5429-4764-9abd-d28fba2a6ac9 · outbound

This paper cites Unsupervised deformable registration for multi-modal images via disentan- gled representations.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Unsupervised deformable registration for multi-modal images via disentan- gled representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.432738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 614d0576-72c3-4411-a9ed-6187e9b9541d · outbound

This paper cites Cur- riculum learning.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Cur- riculum learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.414425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a47278f-0509-4716-9f68-afe75094be42 · outbound

This paper cites Auto-context and its application to high-level vision tasks and 3D brain image segmentation.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Auto-context and its application to high-level vision tasks and 3D brain image segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.390277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05843c68-aea6-4959-947a-d2eb204efdef · outbound

This paper cites A 3x3 isotropic gradient operator for image processing.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation A 3x3 isotropic gradient operator for image processing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.371932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1456a70b-ca97-4e77-90bf-a88d344abb2e · outbound

This paper cites Eﬃcient inference in fully connected CRFs with gaussian edge potentials.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Eﬃcient inference in fully connected CRFs with gaussian edge potentials

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.355333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21747cb0-edba-4f29-bd99-f3089debf267 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Arbitrary style transfer in real-time with adaptive instance normalization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.339129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2cfa30fa-70d5-48ad-b065-014aad8432e7 · outbound

This paper cites Multi-task learning for left atrial segmentation on GE-MRI.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Multi-task learning for left atrial segmentation on GE-MRI

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:23:15.322060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 421ddecd-9e6b-4255-bdb0-0200b92fe84a · inbound

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation cites this paper.

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:46:04.486979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.