Paper Citation Record · LEDGER

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.06792.

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

pith.paper-citation-record.v1
1908.06792 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:39:19.939176Z

measured 32 of 32 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

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation 1a9e2557-85d2-4c98-bf9c-f27b7b89a354 · outbound

This paper cites A gentle introduction to deep learning in medical image processing,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior A gentle introduction to deep learning in medical image processing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.980045Z

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Observation f6112a12-5a5d-4cb5-81b9-0433a32c0483 · outbound

This paper cites Image reconstruction is a new frontier of machine learning,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Image reconstruction is a new frontier of machine learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.948885Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3adb0b1f-0916-4b52-8f1e-baad832d3893 · outbound

This paper cites A deep convolutional neural network using di- rectional wavelets for low-dose X-ray CT reconstruction,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior A deep convolutional neural network using di- rectional wavelets for low-dose X-ray CT reconstruction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.915721Z

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Observation 080713bf-031f-4364-93e7-6c8d96389a76 · outbound

This paper cites Low-dose CT via convolutional neural network,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Low-dose CT via convolutional neural network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.889880Z

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Observation 43807ac6-f179-40c0-a1a5-acdd2acb754e · outbound

This paper cites Low dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Low dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.858144Z

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Observation 3bd20b55-8f60-4d0f-8696-3f7481c5b019 · outbound

This paper cites Deep residual learning for compressed sensing ct reconstruction via persistent homology analysis,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Deep residual learning for compressed sensing ct reconstruction via persistent homology analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.821399Z

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Observation 68ebf941-4ce9-403e-a22d-7d1010559a62 · outbound

This paper cites Framing U-Net via deep convolutional framelets: Application to sparse-view CT,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Framing U-Net via deep convolutional framelets: Application to sparse-view CT,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.776503Z

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Observation cff58eb8-0505-46e0-b82d-212992d466d2 · outbound

This paper cites LEARN: Learned experts assessment-based reconstruction network for sparse-data CT,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior LEARN: Learned experts assessment-based reconstruction network for sparse-data CT,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.749467Z

Source-reported events for the cited work

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Observation 3941dfb7-143f-4a2c-a350-193cd28c459a · outbound

This paper cites Deep learning methods to guide CT image reconstruction and reduce metal artifacts,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Deep learning methods to guide CT image reconstruction and reduce metal artifacts,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.722135Z

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 ac45074d-a6a7-41c9-8b48-629858fe2799 · outbound

This paper cites Convolutional neural network based metal artifact reduction in X-ray computed tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Convolutional neural network based metal artifact reduction in X-ray computed tomography,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.696036Z

Source-reported events for the cited work

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Observation 2f6ab72f-aefc-4043-9287-9a841ae734f6 · outbound

This paper cites Picture reconstruction from projections in restricted range,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Picture reconstruction from projections in restricted range,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.665074Z

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 8eb46aed-2989-4e76-9373-2c2718430a35 · outbound

This paper cites Restoration of missing data in limited angle tomography based on Helgason–Ludwig consistency conditions,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Restoration of missing data in limited angle tomography based on Helgason–Ludwig consistency conditions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.631396Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf5c4880-942a-4948-b746-02758f7eacda · outbound

This paper cites Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.595029Z

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Observation cf5d7cc2-8ad8-4d4f-bad9-d57c30bc5506 · outbound

This paper cites A limited-angle CT reconstruction method based on anisotropic TV minimization,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior A limited-angle CT reconstruction method based on anisotropic TV minimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.565365Z

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Observation a337b42e-8a46-448d-8abe-9ee24c6c0776 · outbound

This paper cites Scale- space anisotropic total variation for limited angle tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Scale- space anisotropic total variation for limited angle tomography,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.541033Z

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Observation b124bf91-8906-45c3-97e6-a90f0a7d4650 · outbound

This paper cites Deep learning computed tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Deep learning computed tomography,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.508048Z

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 1c091bfd-8309-4c7e-8eac-b3f5f4cf696b · outbound

This paper cites Image prediction for limited-angle tomography via deep learning with convolutional neural network,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Image prediction for limited-angle tomography via deep learning with convolutional neural network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.472668Z

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 daada11a-c767-4fe8-a5bd-786183eccfb5 · outbound

This paper cites Multi-scale wavelet domain residual learning for limited-angle CT reconstruction,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Multi-scale wavelet domain residual learning for limited-angle CT reconstruction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.442465Z

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Observation 989b7b68-eefb-4bf8-a95b-7f120fb0c935 · outbound

This paper cites Some investigations on robustness of deep learning in limited angle tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Some investigations on robustness of deep learning in limited angle tomography,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.420309Z

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Observation 523d2cee-0220-4528-9674-4f05dc5db5cc · outbound

This paper cites Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.396411Z

Source-reported events for the cited work

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Observation f8cb52ce-63a4-4c12-9592-fa49f9cccdff · outbound

This paper cites Learning the invisible: a hybrid deep learning-shearlet framework for lim- ited angle computed tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Learning the invisible: a hybrid deep learning-shearlet framework for lim- ited angle computed tomography,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.360718Z

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Observation 7fb89cbe-748f-4040-ae38-ed8819251af5 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior U-Net: Convolutional networks for biomedical image segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.336525Z

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Observation ae177495-ced5-4a0c-9565-61a517b155bf · outbound

This paper cites Explaining and harnessing adversarial examples,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Explaining and harnessing adversarial examples,

Reference 23

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Observation 468c81e5-e2f8-463b-8fea-00d33cfb7819 · outbound

This paper cites Intriguing properties of neural networks,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Intriguing properties of neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.297630Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5382ea9a-259a-4abf-b461-dad5c88ed395 · outbound

This paper cites Adversarial examples: Attacks and defenses for deep learning,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Adversarial examples: Attacks and defenses for deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.268546Z

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Observation de46dd89-867d-4a10-a160-93c981173fb5 · outbound

This paper cites On instabilities of deep learning in image reconstruction - Does AI come at a cost?.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior On instabilities of deep learning in image reconstruction - Does AI come at a cost?

Reference 26

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Observation 1411205f-9a7b-42d6-8ba6-13fb9d9256a9 · outbound

This paper cites Precision Learning: Reconstruction Filter Kernel Discretization,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Precision Learning: Reconstruction Filter Kernel Discretization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.237428Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a57405e3-99d2-48da-ad4c-19fb35b64f48 · outbound

This paper cites Learning with known operators reduces maximum training error bounds,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Learning with known operators reduces maximum training error bounds,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.215190Z

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Observation 6171ae31-ae9e-4858-9457-4762ad429e8e · outbound

This paper cites Tv or not tv? that is the question,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Tv or not tv? that is the question,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.179909Z

Source-reported events for the cited work

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Observation 92964e72-d821-41cb-ab3b-faa1038c4c00 · outbound

This paper cites Sparse regularization in limited angle tomography,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Sparse regularization in limited angle tomography,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.153202Z

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Observation 0e431d1b-8461-4000-a67d-614560570b64 · outbound

This paper cites Densely connected convolutional networks,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Densely connected convolutional networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.112412Z

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Observation 721a3e85-0387-44c3-b7f5-9ef203eda659 · outbound

This paper cites Low-dose CT for the detection and classiﬁcation of metastatic liver lesions: Results of the 2016 low dose CT grand challenge,.

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Low-dose CT for the detection and classiﬁcation of metastatic liver lesions: Results of the 2016 low dose CT grand challenge,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:39:20.081748Z

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.

Pith citing papers

No inbound Pith citation observations are available.