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Paper Citation Record · LEDGER

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.04030.

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pith.paper-citation-record.v1
2506.04030 v1

Coverage vector

measured 31 of 31 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation c03f7166-3fc3-4290-95fa-8d12b076450e · outbound

This paper cites in the wild.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering in the wild

Reference 1

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Observation f901cdd8-f4e2-4425-b1bb-bb060cd7b7ba · outbound

This paper cites Overview Fig1.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Overview Fig1

Reference 2

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Observation e1eac3a9-057a-4375-8ce9-24fd9aed5229 · outbound

This paper cites Patch Based Calibration Table 1.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Patch Based Calibration Table 1

Reference 3

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Observation 726602d7-d5e8-4231-858f-590295e35a9d · outbound

This paper cites It enabled targeted coverage of calcium volume with improved triage metrics.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering It enabled targeted coverage of calcium volume with improved triage metrics

Reference 4

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Observation 2e0e6c70-0f8c-4d1c-b331-30be807be587 · outbound

This paper cites It required no model re-training using histograms of the output probabilities as a condition for conformal prediction.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering It required no model re-training using histograms of the output probabilities as a condition for conformal prediction

Reference 5

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Observation 0d5bcab9-b5d0-4983-b9a8-121c39c66728 · outbound

This paper cites H, S.D) are employees of Canon Medical Research Europe.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering H, S.D) are employees of Canon Medical Research Europe

Reference 6

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Observation ff7081be-1461-4c1b-b819-d292079cb4f8 · outbound

This paper cites an unresolved cited work.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Unresolved cited work

Reference 7

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Observation d3c9285d-ae24-40da-8527-43c669c20d7c · outbound

This paper cites World Health Organization.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering World Health Organization

Reference 8

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Observation 19e9e602-7f41-4d8d-bfc1-7b5c936cf325 · outbound

This paper cites The coronary calcium score is a more accurate predictor of significant coronary stenosis than conventional risk factors in symptomatic patients: Euro -CCAD study.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering The coronary calcium score is a more accurate predictor of significant coronary stenosis than conventional risk factors in symptomatic patients: Euro -CCAD study

Reference 9

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Observation 86f32c56-0cd4-49fe-b8ff-a916ec3a0b57 · outbound

This paper cites Coronary Artery Calcification and its Progression: What Does it Really Mean? JACC Cardiovasc Imaging 2018;11:127 –42.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Coronary Artery Calcification and its Progression: What Does it Really Mean? JACC Cardiovasc Imaging 2018;11:127 –42

Reference 10

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Observation 4190c541-d161-49c5-8d00-4d1887bd1d72 · outbound

This paper cites Viewing the Value of Coronary Artery Calcium Testing From Different Perspectives.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Viewing the Value of Coronary Artery Calcium Testing From Different Perspectives

Reference 11

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Observation 2ed287d8-437a-48f1-90c9-dda895422ae4 · outbound

This paper cites Quantification of coronary artery calcium using ultrafast computed tomography.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Quantification of coronary artery calcium using ultrafast computed tomography

Reference 12

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Observation fe7c42aa-3f03-4cb4-861d-640af3cfb449 · outbound

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Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Unresolved cited work

Reference 13

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correction dated 2017-03-20. Source: crossref record 10.1016/j.jcct.2017.02.011->10.1016/j.jcct.2016.11.003:correction, observed 2026-07-11T03:15:45.73491+00:00. This notice travels one citation hop only.

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Observation ecd47240-69b6-4d5a-9bdd-4af1749cff8b · outbound

This paper cites A method for coronary artery calcium scoring using contrast -enhanced computed tomography.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering A method for coronary artery calcium scoring using contrast -enhanced computed tomography

Reference 14

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Observation fda4fbbf-3196-4b3a-8a3c-9069997c71e4 · outbound

This paper cites Deep Learning -Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Deep Learning -Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography

Reference 15

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Observation e5c0e50b-34b7-4c91-a3e5-3940d398f55c · outbound

This paper cites Learning by Transduction.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Learning by Transduction

Reference 16

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Observation c082c509-8028-449a-a7a2-a241957f0ec0 · outbound

This paper cites Transduction with Confidence and Credibility.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Transduction with Confidence and Credibility

Reference 17

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Observation ca2454ed-cbed-40b5-8303-d6d117e21d8a · outbound

This paper cites Robust Conformal Volume Estimation in 3D Medical Images.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Robust Conformal Volume Estimation in 3D Medical Images

Reference 18

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Observation 1a54be9e-e266-4522-9ccf-05612f8528a3 · outbound

This paper cites Deep learning-based detection of coronary artery calcification in non -contrast and contrast -enhanced CT scans.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Deep learning-based detection of coronary artery calcification in non -contrast and contrast -enhanced CT scans

Reference 19

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Observation 98c56465-2252-4b2d-9f71-9b6faf2b2c4d · outbound

This paper cites TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

Reference 20

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Observation cc753928-693d-449d-91cf-bf2023b27c7e · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 21

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Observation d63281a5-cfc0-4a72-b1e8-21f38921b9c4 · outbound

This paper cites Focal Loss for Dense Object Detection.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Focal Loss for Dense Object Detection

Reference 22

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Observation b5048c1d-4058-483b-88dd-29d7b581e2c0 · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 23

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Observation 80714b23-cdfe-4abb-bf1e-d3973e1b3b83 · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 24

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Observation b82a28dd-f0db-48c0-ae1b-e24afa003ecc · outbound

This paper cites Automatic brain segmentation in preterm infants with post -hemorrhagic hydrocephalus using 3D Bayesian U -Net.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Automatic brain segmentation in preterm infants with post -hemorrhagic hydrocephalus using 3D Bayesian U -Net

Reference 25

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Observation 1a951ef5-df15-4b20-bf60-7fc71cbd46df · outbound

This paper cites Conformalized Quantile Regression.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Conformalized Quantile Regression

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f33bfd8f-0d03-4aab-bd87-4a455bb272c4 · outbound

This paper cites Constrained K - Means Clustering.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Constrained K - Means Clustering

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 83f0b950-3064-4dea-b488-b9a83a4d916e · outbound

This paper cites Improving conformalized quantile regression through cluster -based feature relevance.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Improving conformalized quantile regression through cluster -based feature relevance

Reference 28

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cd5b3ecb-071b-4d6f-a397-cb2363070108 · outbound

This paper cites an unresolved cited work.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0cadd70e-5091-49d1-93d9-c91e5e9bed94 · outbound

This paper cites Coronary Calcium Characteristics as Predictors of Major Adverse Cardiac Events in Symptomatic Patients: Insights From the CORE320 Multinational Study.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering Coronary Calcium Characteristics as Predictors of Major Adverse Cardiac Events in Symptomatic Patients: Insights From the CORE320 Multinational Study

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 131be629-f8e0-4eee-9ee6-3a9dd66361b8 · outbound

This paper cites A rosetta stone for coronary calcium risk stratification: Agatston, volume, and mass scores in 11,490 individuals.

Conformal coronary calcification volume estimation with conditional coverage via histogram clustering A rosetta stone for coronary calcium risk stratification: Agatston, volume, and mass scores in 11,490 individuals

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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