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Paper Citation Record · LEDGER

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN

As of 16 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:1908.05094.

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

pith.paper-citation-record.v1
1908.05094 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:29:01.552947Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 366f8902-d6e2-40ae-98f5-df3a3d746e17 · outbound

This paper cites Multivariate mixture model for myocardial segmentation combining multi-source images,.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Multivariate mixture model for myocardial segmentation combining multi-source images,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T13:29:01.504144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:29:01.504144Z digest=sha256:f04a2a11d1e85629f59b55c8f412f97e0bcebaa1e1080d5573a57ba0561d3859

Observation a0b9a4f8-70cc-4aea-a0b3-f06c8271d307 · outbound

This paper cites Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network,.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.814214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.510006Z digest=sha256:0d4b3b885639cce11dd057c3dcd652774488e4ef9f29360b7d190bba21b31640

Observation 79eb78e9-8722-4617-9294-876f72121ecf · outbound

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

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.794599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.514942Z digest=sha256:6b732d6b05dae071e3e74e01906264b01b59dc35e798e15865103ed5b8ae4fac

Observation e360b2fa-0acf-4339-8bc8-547a156721e7 · outbound

This paper cites Generative adversarial nets.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Generative adversarial nets

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.778269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.520726Z digest=sha256:f98fda0a33f3a97e6ff4f33db66c4e7075e53e4ed4178a5bc2a6f2a5c8ec2cec

Observation 171e7afb-522b-4337-aa81-74a0602e5951 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.757368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.526405Z digest=sha256:dde52cbb546f3854b0ff9e581718e5715f9933191435bc0cc10d1f5466d3729a

Observation 85cc198d-1370-47cf-8206-eb52535942e3 · outbound

This paper cites Image-to-image translation with conditional adversarial networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Image-to-image translation with conditional adversarial networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.738663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.531629Z digest=sha256:e3d73bb78dc4caa8995a31a3de6ff0420c522abd38ad504bddd0fb079190a43a

Observation 604156a6-4624-47f5-a08c-b962e6254952 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T13:29:01.537424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:29:01.537424Z digest=sha256:f1e1db5fcc4a83e13cbac81233d079268fd01037076825a339c43e905b5951a1

Observation 73e3fc28-b7b5-4717-91b0-6ae0251dde16 · outbound

This paper cites Least squares generative adversarial networks[C]//Proceedings of the IEEE International Conference on Computer Vision.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN Least squares generative adversarial networks[C]//Proceedings of the IEEE International Conference on Computer Vision

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:29:01.719205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:29:01.542922Z digest=sha256:c840b5e9cdece3bcdfdc7cefc4341077e3a22e91d8a38a51d7601caae9918a8a

Observation 0b05687d-0678-40ea-b22a-5b34e703416e · outbound

This paper cites , " * write output.state after.block = add.period write.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN , " * write output.state after.block = add.period write

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T13:29:01.547697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:29:01.547697Z digest=sha256:f1103b8582dbcbe47f50541940b0e8c86b266476c1e35b0ab18e774808fb94e4

Observation 24ad2ca5-704b-4a88-972b-f49ba6887762 · outbound

This paper cites write newline.

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN write newline

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T13:29:01.552947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:29:01.552947Z digest=sha256:d9a9e646bb48d7ac5cdb0f52857516f27f74789ff696e42352000972a17bc069

Pith citing papers

No inbound Pith citation observations are available.