Paper Citation Record · LEDGER

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1908.04538.

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

pith.paper-citation-record.v1
1908.04538 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:43:57.106224Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

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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

17 of 17 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b00baf5-310a-4feb-b2b2-0fedea6575ff · outbound

This paper cites Deep-learning cardiac motion analysis for human survival prediction,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Deep-learning cardiac motion analysis for human survival prediction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.406279Z

Source-reported events for the cited work

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Observation bc2283b9-8bf5-4acd-83fe-c1b4b6f840a5 · outbound

This paper cites Impact of prehypertension on left ventricu- lar structure, function and geometry,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Impact of prehypertension on left ventricu- lar structure, function and geometry,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.391295Z

Source-reported events for the cited work

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Observation 83523c91-e84c-4832-892f-c26ae9c86fa9 · outbound

This paper cites The bergen blood pressure study: prehypertensive changes in cardiac structure and function in oﬀ- spring of hypertensive families,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders The bergen blood pressure study: prehypertensive changes in cardiac structure and function in oﬀ- spring of hypertensive families,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.376555Z

Source-reported events for the cited work

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Observation c987c390-4c32-4dfd-94a7-891b7c3ab325 · outbound

This paper cites Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.362026Z

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Observation a760510c-d983-4413-8abc-d17315a7af71 · outbound

This paper cites Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:43:57.173637Z

Source-reported events for the cited work

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Observation 8cdb0706-1893-43f6-863e-2ee8abd5cd54 · outbound

This paper cites Global and Local Interpretability for Cardiac MRI Classification.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Global and Local Interpretability for Cardiac MRI Classification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:43:57.150927Z

Source-reported events for the cited work

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Observation a9f04595-3c6d-424e-99e6-d8863d931619 · outbound

This paper cites Autoencoder-based deep belief regression network for air particulate matter concentration forecasting,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Autoencoder-based deep belief regression network for air particulate matter concentration forecasting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.346746Z

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Observation 105741eb-4bc0-462b-a047-0ece625db5be · outbound

This paper cites Machine load estimation via stacked autoencoder regression,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Machine load estimation via stacked autoencoder regression,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.331420Z

Source-reported events for the cited work

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Observation d75d45a3-84b1-4144-a34d-8e4d240686a0 · outbound

This paper cites A deep auto-encoder model for gene expression prediction,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders A deep auto-encoder model for gene expression prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.316158Z

Source-reported events for the cited work

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Observation add49c15-a151-46e1-a415-416113bac0f1 · outbound

This paper cites Associations with intraocular pressure in a large cohort: results from the uk biobank,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Associations with intraocular pressure in a large cohort: results from the uk biobank,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.301220Z

Source-reported events for the cited work

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Observation 8fb6693e-a093-4ef4-a8b8-b998584d030e · outbound

This paper cites Fully automated, quality-controlled cardiac analysis from cmr: Validation and large-scale application to characterize cardiac function,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Fully automated, quality-controlled cardiac analysis from cmr: Validation and large-scale application to characterize cardiac function,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.285692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62bd3589-1b44-4dda-902c-4bed9c43756a · outbound

This paper cites Automated cardiovascular magnetic reso- nance image analysis with fully convolutional networks,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Automated cardiovascular magnetic reso- nance image analysis with fully convolutional networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.270519Z

Source-reported events for the cited work

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Observation cc1c46a8-8e4e-4801-a4db-5c6b831b1e93 · outbound

This paper cites Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.254525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee9f802a-5b40-4746-bdb5-746b2b68ee9e · outbound

This paper cites A formula to estimate the approximate surface area if height and weight be known,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders A formula to estimate the approximate surface area if height and weight be known,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.238033Z

Source-reported events for the cited work

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Observation dad89263-23ff-46e7-8736-c5c5ac7eb5eb · outbound

This paper cites How should meta-regression analyses be undertaken and interpreted?,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders How should meta-regression analyses be undertaken and interpreted?,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.221660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7e101ac-7d39-43ba-9f5a-1e8cf43b7b1c · outbound

This paper cites Regression shrinkage and selection via the lasso,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Regression shrinkage and selection via the lasso,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.205779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08ab07dd-6cb9-4400-a310-1a101676a2b6 · outbound

This paper cites Random forests and adaptive nearest neighbors,.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders Random forests and adaptive nearest neighbors,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:43:57.189618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.