Paper Citation Record · LEDGER

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging

As of 3 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2605.29753.

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

pith.paper-citation-record.v1
2605.29753 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:46:58.999450Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

11 of 11 outbound references displayed

verified exact1
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64ecbb37-54a6-4331-9d35-c8224851c5eb · outbound

This paper cites Dual-energy ct: general principles,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Dual-energy ct: general principles,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b8a572-4373-4b59-9ff8-b63d1a8cf1ad · outbound

This paper cites Clinical applications of dual-energy ct,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Clinical applications of dual-energy ct,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8687e7b6-4bc9-4c31-bc90-eb55e1cb7d5b · outbound

This paper cites Estimating dual- energy ct imaging from single-energy ct data with material decomposition convolutional neural network,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Estimating dual- energy ct imaging from single-energy ct data with material decomposition convolutional neural network,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f94b40-4082-49d4-8048-407f7f9e8730 · outbound

This paper cites Virtual monoenergetic ct imaging via deep learning,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Virtual monoenergetic ct imaging via deep learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec128e44-6024-43ba-808b-0ea720d76d7a · outbound

This paper cites A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:52:55.689425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 121465c3-f854-473f-a186-d927d948afc2 · outbound

This paper cites Jointly optimized deep neural networks to synthesize monoenergetic images from single-energy ct angiography for improving classification of pulmonary embolism,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Jointly optimized deep neural networks to synthesize monoenergetic images from single-energy ct angiography for improving classification of pulmonary embolism,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99ab84d-05c3-4adc-993c-cfa639525f8a · outbound

This paper cites Virtual monochro- matic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kvp ct,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Virtual monochro- matic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kvp ct,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7754caac-4cd7-4798-8b70-1cf004511745 · outbound

This paper cites D., Chatelain, R., MacDonald, D.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging D., Chatelain, R., MacDonald, D

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b5f96e-4e22-48ff-ab2f-d07b723299e6 · outbound

This paper cites Which should be the routine cross-sectional reconstruction mode in spectral ct imaging: monochromatic or polychromatic?,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Which should be the routine cross-sectional reconstruction mode in spectral ct imaging: monochromatic or polychromatic?,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0146a4-4fe1-4417-8300-57d2cf80c81c · outbound

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

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging U-net: Convolutional networks for biomedical image seg- mentation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f38ff1dd-bc4e-4bf1-a4ef-817eec956922 · outbound

This paper cites Visualizing data using t-sne,.

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging Visualizing data using t-sne,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T00:46:58.999450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.