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Paper Citation Record · LEDGER

Pixel-wise Segmentation of Right Ventricle of Heart

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.08004.

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

pith.paper-citation-record.v1
1908.08004 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:54:52.300732Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

  • verified exact0
  • verified fuzzy18
  • unresolved7
  • parse uncertain0
  • malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16bba427-3bd8-42a9-9916-fa0ea7e5eb4f · outbound

This paper cites Right ventricle segmentation from cardiac MRI: a collation study,.

Pixel-wise Segmentation of Right Ventricle of Heart Right ventricle segmentation from cardiac MRI: a collation study,

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 329579fb-2db0-4c87-80b0-06909a16c48d · outbound

This paper cites Local motion intensity clustering (lmic) model for segmentation of right ventricle in cardiac MRI images,.

Pixel-wise Segmentation of Right Ventricle of Heart Local motion intensity clustering (lmic) model for segmentation of right ventricle in cardiac MRI images,

Reference 2

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 720e391e-2c1f-44a6-9375-b6fb328d8f63 · outbound

This paper cites Right ventric- ular segmentation in cardiac MRI with moving mesh correspondences,.

Pixel-wise Segmentation of Right Ventricle of Heart Right ventric- ular segmentation in cardiac MRI with moving mesh correspondences,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 07214c53-afa5-445d-ac67-40f9004803f3 · outbound

This paper cites Right ventricle segmentation using a 3d cylindrical shape model,.

Pixel-wise Segmentation of Right Ventricle of Heart Right ventricle segmentation using a 3d cylindrical shape model,

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8161c698-2f33-47a4-83c4-f98b9e78dd84 · outbound

This paper cites Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI,.

Pixel-wise Segmentation of Right Ventricle of Heart Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5e312ce7-91c1-4101-a9c4-01f567172e43 · outbound

This paper cites Right ventricle segmentation in cardiac MR images using u-net with partly dilated convolution,.

Pixel-wise Segmentation of Right Ventricle of Heart Right ventricle segmentation in cardiac MR images using u-net with partly dilated convolution,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f0287d54-8a81-40ac-8fe4-b9843ab82e6a · outbound

This paper cites ν-net: deep learning for generalized biventricular mass and function parameters using multicenter cardiac MRI data,.

Pixel-wise Segmentation of Right Ventricle of Heart ν-net: deep learning for generalized biventricular mass and function parameters using multicenter cardiac MRI data,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b84778d5-8dd9-4a2d-b82d-a939371abd1d · outbound

This paper cites A deep learning network for right ventricle segmentation in short-axis MRI,.

Pixel-wise Segmentation of Right Ventricle of Heart A deep learning network for right ventricle segmentation in short-axis MRI,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 20db09d8-4b77-4337-9863-5308f79bd37b · outbound

This paper cites A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI.

Pixel-wise Segmentation of Right Ventricle of Heart A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T11:54:52.222592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06e4a1f4-5676-4d10-b356-b5dc508260f9 · outbound

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

Pixel-wise Segmentation of Right Ventricle of Heart U-net: Convolutional networks for biomedical image segmentation,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T11:54:52.227537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 30be73ec-1baf-4454-92d0-c0da8643101d · outbound

This paper cites Large kernel matters– improve semantic segmentation by global convolutional network,.

Pixel-wise Segmentation of Right Ventricle of Heart Large kernel matters– improve semantic segmentation by global convolutional network,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 52e83c55-daac-41ca-9697-fb2c729ee85b · outbound

This paper cites Cardiac MRI segmentation,.

Pixel-wise Segmentation of Right Ventricle of Heart Cardiac MRI segmentation,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b154514d-cb4f-445a-86fa-31520118fb2b · outbound

This paper cites A review of segmentation methods in short axis cardiac MR images,.

Pixel-wise Segmentation of Right Ventricle of Heart A review of segmentation methods in short axis cardiac MR images,

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 34d5e684-66b5-4922-b15e-9d8458cabd9e · outbound

This paper cites an unresolved cited work.

Pixel-wise Segmentation of Right Ventricle of Heart Unresolved cited work

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d28aadf-104f-4daa-b940-26f04419d2e6 · outbound

This paper cites an unresolved cited work.

Pixel-wise Segmentation of Right Ventricle of Heart Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 20ddb3fb-2bba-4623-9b7c-7ccf3ed384c3 · outbound

This paper cites Avendi, et al.

Pixel-wise Segmentation of Right Ventricle of Heart Avendi, et al

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b7ba17ba-be67-4859-98a8-64d03600e4d8 · outbound

This paper cites T represents traditional methods, D represents deep learning based methods, ED stands for End diastolic and ES stands for End systolic cycle.

Pixel-wise Segmentation of Right Ventricle of Heart T represents traditional methods, D represents deep learning based methods, ED stands for End diastolic and ES stands for End systolic cycle

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ed59381d-3fe4-4cf3-aa05-65a0ad92aa9a · outbound

This paper cites an unresolved cited work.

Pixel-wise Segmentation of Right Ventricle of Heart Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation fc3a552e-3ea4-442a-b6e8-6660f296492b · outbound

This paper cites an unresolved cited work.

Pixel-wise Segmentation of Right Ventricle of Heart Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9e71b2ec-3c33-4e0a-b057-2fe0fa7cf547 · outbound

This paper cites Avendi, et al.

Pixel-wise Segmentation of Right Ventricle of Heart Avendi, et al

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 2026-08-15T06:32:42.880941+00:00.

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Observation 698ec1a7-e5c3-45c8-8633-0376b1430a23 · outbound

This paper cites an unresolved cited work.

Pixel-wise Segmentation of Right Ventricle of Heart Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dd9b71ae-d7ac-4a63-8ea5-038ad3e6300c · outbound

This paper cites A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition,.

Pixel-wise Segmentation of Right Ventricle of Heart A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 718ff0aa-335b-4fb7-b6a4-333c62b4c636 · outbound

This paper cites Automatic segmen- tation of the right ventricle from cardiac MRI using a learning-based approach,.

Pixel-wise Segmentation of Right Ventricle of Heart Automatic segmen- tation of the right ventricle from cardiac MRI using a learning-based approach,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c273664a-06a5-48fd-afab-4bb67015c283 · outbound

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

Pixel-wise Segmentation of Right Ventricle of Heart Efficient inference in fully connected crfs with gaussian edge potentials,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ae5c2346-fed0-4a4d-8736-031822c2d5df · outbound

This paper cites Semi- supervised automatic segmentation of layer and fluid region in retinal optical coherence tomography images using adversarial learning,.

Pixel-wise Segmentation of Right Ventricle of Heart Semi- supervised automatic segmentation of layer and fluid region in retinal optical coherence tomography images using adversarial learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:54:52.382512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 35421305-727a-4468-affd-4357427e79c5 · outbound

This paper cites Focal loss for dense object detection,.

Pixel-wise Segmentation of Right Ventricle of Heart Focal loss for dense object detection,

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:54:52.293053Z digest=sha256:d35d60361e8178ee554e12b3446c26efa4fb8623b282cf4047a8ad164e0244ed

Observation c508b6c2-0c6a-4e64-80d3-d2235627b106 · outbound

This paper cites Automatic differentiation in PyTorch,.

Pixel-wise Segmentation of Right Ventricle of Heart Automatic differentiation in PyTorch,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a8fdae28-f474-4134-a440-a754b27c5f0a · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Pixel-wise Segmentation of Right Ventricle of Heart SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T11:54:52.300732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.