Paper Citation Record · LEDGER

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1908.07727.

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

pith.paper-citation-record.v1
1908.07727 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:01:17.720757Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy12
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4ab5ef6-c7c4-4c30-adf0-3544d7553b41 · outbound

This paper cites Feasibility of automatic assessment of four-chamber cardiac function with MDCT: initial clinical application and validation.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Feasibility of automatic assessment of four-chamber cardiac function with MDCT: initial clinical application and validation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.624031Z

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.

Observation 5f0e83d5-20be-4cf0-9b75-e4ea8c146837 · outbound

This paper cites Automatic model-based segmentation of the heart in CT images.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Automatic model-based segmentation of the heart in CT images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.566854Z

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.

Observation f5fed133-b15f-4480-9e76-7255248fc03a · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Perceptual losses for real-time style transfer and super-resolution

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.495914Z

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.

Observation a9c255dc-7872-4fb0-90e1-2cb258d40983 · outbound

This paper cites Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.424868Z

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.

Observation 589a4906-da3e-4e0c-a593-90db7fa40105 · outbound

This paper cites Domain-adversarial neural networks to address the appearance variability of histopathology images.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Domain-adversarial neural networks to address the appearance variability of histopathology images

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.350943Z

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.

Observation bcb6ad9f-8b17-41aa-8400-aef5edb56475 · outbound

This paper cites The predictive value of left atrial size for incident ischemic stroke and all-cause mortality in African Americans : the atherosclerosis risk in communities ( ARIC ) study.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT The predictive value of left atrial size for incident ischemic stroke and all-cause mortality in African Americans : the atherosclerosis risk in communities ( ARIC ) study

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.287449Z

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.

Observation b850f823-5156-4ec7-9b77-a7f45ccd6c48 · outbound

This paper cites Left ventricular diameter and risk stratification for sudden cardiac death.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Left ventricular diameter and risk stratification for sudden cardiac death

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.236261Z

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.

Observation fa98a2cc-b464-4fa9-a3ac-71570446775b · outbound

This paper cites Multi--detector row cardiac computed tomography accurately quantifies right and left ventricular size and function compared with cardiac magnetic resonance.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Multi--detector row cardiac computed tomography accurately quantifies right and left ventricular size and function compared with cardiac magnetic resonance

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.167822Z

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.

Observation b5436ad9-b5ad-4f92-972e-9f1785f12be2 · outbound

This paper cites CT calcium scoring.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT CT calcium scoring

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.116634Z

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.

Observation 497b5889-0f67-48b1-b826-207452bd0ea5 · outbound

This paper cites Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:18.052841Z

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.

Observation 34262120-c676-499d-a81a-b1447e5a5c6f · outbound

This paper cites Application of spe C tra L computed tomogr A phy to imp R ove spec I ficity of cardiac compu T ed tomograph Y (clarity study): rationale and design.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Application of spe C tra L computed tomogr A phy to imp R ove spec I ficity of cardiac compu T ed tomograph Y (clarity study): rationale and design

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:17.964784Z

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.

Observation b725f358-b933-4494-a50b-99e8fe2c75ff · outbound

This paper cites Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:01:17.915049Z

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.

Observation 68008a03-768d-4f9c-9488-3ecc5c8edbbb · outbound

This paper cites Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T12:01:17.720757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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