Paper Citation Record · LEDGER

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework

As of 4 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2604.10439.

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

pith.paper-citation-record.v1
2604.10439 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:50:36.493858Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

41 of 41 outbound references displayed

verified exact13
verified fuzzy21
unresolved6
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31727ff6-b5c0-4d00-bbb1-3841bfbc8f73 · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:30:04.858212Z

Source-reported events for the cited work

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Observation 39fdbb1e-f950-4c27-914a-327c4e17df24 · outbound

This paper cites 1.5T and 3T MRI scanners with standardized T1-weighted and T2-weighted protocols were used.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework 1.5T and 3T MRI scanners with standardized T1-weighted and T2-weighted protocols were used

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.865951Z

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Observation 8dca990c-156f-439c-a92b-cbb7a445cf92 · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:30:04.919580Z

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Observation b906d8b1-0430-48ad-b4d2-04826520cafd · outbound

This paper cites artifact- tissue confusion.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework artifact- tissue confusion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.893574Z

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This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:30:04.905850Z

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Observation da898e34-3153-4a0f-a7f7-0815caeecccc · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-05-10T21:45:48.346228Z

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Observation df22196d-16a5-478f-9c94-255c808883a7 · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:45:48.323330Z

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Observation 31786038-c666-4877-8df6-26b1caf5e1b7 · outbound

This paper cites M., Abdulqader, A.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework M., Abdulqader, A

Reference 8

Resolution: verified exact; doi, observed 2026-05-10T21:45:48.303179Z

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Observation 3c1a956f-04ff-483b-b5cf-a077c4e57fe1 · outbound

This paper cites Deep-learning methods for parallel magnetic resonance imaging reconstruction: A review of the current state-of-the-art.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Deep-learning methods for parallel magnetic resonance imaging reconstruction: A review of the current state-of-the-art

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.843051Z

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Observation 7b76e3f1-96a9-48c0-ab7a-c9d4b27ce37f · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:45:48.340843Z

Source-reported events for the cited work

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Observation 46a711a3-243d-4e32-8c30-df54e1a8390b · outbound

This paper cites J., Williams, S., Howard, R., Frackowiak, R.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework J., Williams, S., Howard, R., Frackowiak, R

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.899893Z

Source-reported events for the cited work

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This paper cites R., Hiess, R.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework R., Hiess, R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.880814Z

Source-reported events for the cited work

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This paper cites H., Nybing, J.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework H., Nybing, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.862129Z

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This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:45:48.318038Z

Source-reported events for the cited work

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Observation 2a7c71f0-e2f5-478b-9b5f-7153e7d96b02 · outbound

This paper cites Motion artifacts in MRI: A complex problem with many partial solutions.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Motion artifacts in MRI: A complex problem with many partial solutions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.877583Z

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Observation bb9a1c9d-0d70-469f-bb73-c02090c40731 · outbound

This paper cites Motion correction in MRI of the brain.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Motion correction in MRI of the brain

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.873742Z

Source-reported events for the cited work

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Observation 8e313065-16dc-4722-b699-83bedb344c4d · outbound

This paper cites E., & Ye, J.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework E., & Ye, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.847014Z

Source-reported events for the cited work

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Observation b92ad8a9-e1b0-4def-a9aa-9945809a4eee · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:30:04.854743Z

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This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 19

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This paper cites H., & Lee, Y.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework H., & Lee, Y

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.890550Z

Source-reported events for the cited work

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Observation d50d7ab1-fd67-4670-91d8-6bb07047a623 · outbound

This paper cites C., Otaki, Y., Kuronuma, K.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework C., Otaki, Y., Kuronuma, K

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.831516Z

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Observation 82034bbb-b31b-4520-8ecd-a076243c2686 · outbound

This paper cites & Daida, H.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework & Daida, H

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.887562Z

Source-reported events for the cited work

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This paper cites M., & Deng, J.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework M., & Deng, J

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.884251Z

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Observation 2e803dd7-540c-4cda-8f17-2ce38cef8392 · outbound

This paper cites Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:44:00.766751Z

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This paper cites & Yang, G.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework & Yang, G

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.908949Z

Source-reported events for the cited work

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Observation 4ba2f126-2053-4d55-8a14-a5c0cf5cac0e · outbound

This paper cites E., & Ye, J.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework E., & Ye, J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.912505Z

Source-reported events for the cited work

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Observation 18432b77-4ab1-4a64-9e7e-b037d1466a18 · outbound

This paper cites Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:07.439180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b483cfb-0bb4-4dcb-887f-a3ff133715ff · outbound

This paper cites MRI Motion Correction Through Disentangled CycleGAN Based on Multi-Mask K-Space Subsampling[J].

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework MRI Motion Correction Through Disentangled CycleGAN Based on Multi-Mask K-Space Subsampling[J]

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.851249Z

Source-reported events for the cited work

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Observation 7f64fb76-cd71-41c4-8a44-f24863a7c850 · outbound

This paper cites ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:07.442890Z

Source-reported events for the cited work

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Observation 59f94b60-0595-49a7-8763-f45923cc434a · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:54:40.489660Z

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This paper cites Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis

Reference 31

Resolution: verified exact; doi, observed 2026-05-10T21:45:48.292838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83c45082-9c6b-41e6-aa11-60594524368d · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:25:06.110901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 230bfa44-d767-4a49-8bd1-5093eab12e55 · outbound

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

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Perceptual losses for real-time style transfer and super-resolution

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.870487Z

Source-reported events for the cited work

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This paper cites Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.896681Z

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This paper cites DIMA: DIffusing Motion Artifacts for Unsupervised Correction in Brain MRI Images.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework DIMA: DIffusing Motion Artifacts for Unsupervised Correction in Brain MRI Images

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:45:48.298373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2037eb61-b7e0-45dc-bd98-0bd268630fdd · outbound

This paper cites Focal Frequency Loss for Image Reconstruction and Synthesis.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Focal Frequency Loss for Image Reconstruction and Synthesis

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:45:48.331067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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This paper cites Generative Adversarial Networks.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Generative Adversarial Networks

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3888a1a3-03c5-491a-a1a2-2b4faeb27f56 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Image-to-image translation with conditional adversarial networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:25:06.113837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d54275f-7416-43b0-bc7d-4cca1822a106 · outbound

This paper cites A., Shechtman, E., & Wang, O.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework A., Shechtman, E., & Wang, O

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:30:04.902978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e60f80e-3e00-4896-8a29-07efd4083691 · outbound

This paper cites an unresolved cited work.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:25:06.108113Z

Source-reported events for the cited work

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Observation 11d7fedd-8f4a-49fe-8297-7fc94ca14a39 · outbound

This paper cites R., & Henderson, J.

Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework R., & Henderson, J

Reference 41

Resolution: verified exact; doi, observed 2026-05-10T21:45:48.286858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.