Paper Citation Record · LEDGER

Multi-Contrast Super-Resolution MRI Through a Progressive Network

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.01612.

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

pith.paper-citation-record.v1
1908.01612 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:12:27.959540Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

44 of 44 outbound references displayed

verified exact2
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f23a210-aa9d-47b1-bb5a-dcb6421e9229 · outbound

This paper cites Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.409204Z

Source-reported events for the cited work

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Observation 2fb4af00-cd98-42cd-af8e-86b57823826a · outbound

This paper cites Super-resolution in magnetic resonance imaging: A review,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Super-resolution in magnetic resonance imaging: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.399107Z

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Observation 2a380324-a9ba-45d3-925e-4995ee2895fc · outbound

This paper cites Super-resolution image reconstruction: a technical overview,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Super-resolution image reconstruction: a technical overview,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.815293Z

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Observation be4c6edc-184b-42e1-98a1-5fb8ccde1631 · outbound

This paper cites A fast image super-resolution algorithm using an adaptive Wiener ﬁlter,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network A fast image super-resolution algorithm using an adaptive Wiener ﬁlter,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.381617Z

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Observation 6f39d0e2-1d40-4813-8d12-6857c9af3087 · outbound

This paper cites Non-local MRI upsampling,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Non-local MRI upsampling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.371556Z

Source-reported events for the cited work

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Observation 6337e8cd-b019-44d9-a0e4-43158b95529f · outbound

This paper cites Image super-resolution via sparse representation,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image super-resolution via sparse representation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.827295Z

Source-reported events for the cited work

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Observation 2f06c92e-9cb9-4993-a763-24c602977c94 · outbound

This paper cites On single image scale-up using sparse-representations,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network On single image scale-up using sparse-representations,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.831832Z

Source-reported events for the cited work

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Observation 7482db5f-ca4c-4b77-9aae-7cdd48b27fda · outbound

This paper cites A+: Adjusted anchored neighborhood regression for fast super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network A+: Adjusted anchored neighborhood regression for fast super-resolution,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.348481Z

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Observation d1f077cb-7917-44ab-9347-53169437db6d · outbound

This paper cites Image super-resolution using deep convolutional networks,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image super-resolution using deep convolutional networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.839307Z

Source-reported events for the cited work

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Observation 8a0bf378-c695-43ee-97f3-f8819240fbc7 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Accurate image super-resolution using very deep convolutional networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.842666Z

Source-reported events for the cited work

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Observation d552614a-f509-44f1-b6be-892840196bdb · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.324963Z

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Observation a9532f71-be97-45df-aa11-3a5abba063a7 · outbound

This paper cites Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.848076Z

Source-reported events for the cited work

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Observation 4afd6775-6dd7-43d6-8700-564bab8ed404 · outbound

This paper cites Deeply-recursive convolutional network for image super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Deeply-recursive convolutional network for image super-resolution,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.850585Z

Source-reported events for the cited work

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Observation 0def9fae-e567-4537-a955-ffea6dd73de3 · outbound

This paper cites Image super-resolution via deep recursive residual network,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image super-resolution via deep recursive residual network,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.854035Z

Source-reported events for the cited work

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Observation d0c7434b-fd96-4f57-8228-3a6c698d92b3 · outbound

This paper cites Residual dense network for image super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Residual dense network for image super-resolution,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.857438Z

Source-reported events for the cited work

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Observation e93ae8f4-885e-4baf-9f9e-6cfd5141bd71 · outbound

This paper cites Deep back-projection networks for super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Deep back-projection networks for super-resolution,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.861253Z

Source-reported events for the cited work

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Observation ee82a7a2-ad0c-422d-8e47-bb0f9cd14a08 · outbound

This paper cites A deep convolutional neural network with selection units for super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network A deep convolutional neural network with selection units for super-resolution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.284051Z

Source-reported events for the cited work

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Observation 35700437-16e4-4fe0-a236-c254a3cb56bc · outbound

This paper cites Image super- resolution using very deep residual channel attention networks,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image super- resolution using very deep residual channel attention networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.272444Z

Source-reported events for the cited work

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Observation a3193f77-c8ea-42b1-8573-15e9bf11f505 · outbound

This paper cites Deep networks for image super-resolution with sparse prior,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Deep networks for image super-resolution with sparse prior,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.261101Z

Source-reported events for the cited work

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Observation 1f051bbe-6350-47f6-b2b4-7d4cccb9697b · outbound

This paper cites Deep Laplacian pyramid networks for fast and accurate super-resolution,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Deep Laplacian pyramid networks for fast and accurate super-resolution,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.248425Z

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Observation db4df11d-a1d1-4ce0-8972-4118068fc3c1 · outbound

This paper cites Enhancenet: Single image super-resolution through automated texture synthesis,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Enhancenet: Single image super-resolution through automated texture synthesis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.237261Z

Source-reported events for the cited work

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Observation 45d2a8e3-b825-4042-8d0c-a137b7ae166b · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Photo-realistic single image super-resolution using a generative adversarial network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.227679Z

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 d660f376-4ff4-4f01-a6b1-3e0efa45f0a7 · outbound

This paper cites MRI upsampling using feature-based nonlocal means approach,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network MRI upsampling using feature-based nonlocal means approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.217329Z

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 4d079616-e432-404f-abf6-b96fe8842e4e · outbound

This paper cites MRI super- resolution using multi-channel total variation,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network MRI super- resolution using multi-channel total variation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.206291Z

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 13853f42-b837-4442-b508-01dd65b1fade · outbound

This paper cites Multi-contrast brain MRI image super-resolution with gradient-guided edge enhancement,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Multi-contrast brain MRI image super-resolution with gradient-guided edge enhancement,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.195141Z

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 1fcc1597-f63f-4186-9509-5d415b74e8cf · outbound

This paper cites Promise: Parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using sharable information,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Promise: Parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using sharable information,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.185808Z

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 2fd4a6c0-fc7e-4035-a26f-8151fcb13c47 · outbound

This paper cites MRI superresolution using self-similarity and image priors,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network MRI superresolution using self-similarity and image priors,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.174025Z

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Observation a7e6007a-a3fe-4401-b4d8-0d0c4e9915f7 · outbound

This paper cites Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.163608Z

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 2c742037-13dd-4235-b02a-afd3ad88baaf · outbound

This paper cites MR image super-resolution via manifold regularized sparse learning,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network MR image super-resolution via manifold regularized sparse learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.154162Z

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 d6daf148-5178-47ea-b645-6e285cfd4382 · outbound

This paper cites Simulta- neous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Simulta- neous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.143178Z

Source-reported events for the cited work

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Observation 413cbc37-908b-4f21-86f8-3d76ff40684e · outbound

This paper cites MRI Super-Resolution with Ensemble Learning and Complementary Priors.

Multi-Contrast Super-Resolution MRI Through a Progressive Network MRI Super-Resolution with Ensemble Learning and Complementary Priors

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:12:28.032950Z

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Observation 5c9a42f1-9fe4-40be-9f4c-587be1ac7b1f · outbound

This paper cites Improved training of Wasserstein GANs,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Improved training of Wasserstein GANs,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.132511Z

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

Observation 41eaaa78-0993-4a30-8850-4c16c81fc920 · outbound

This paper cites 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.121396Z

Source-reported events for the cited work

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Observation f3f8fe04-5a5e-42af-9c68-c21d18205fa2 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image quality assessment: from error visibility to structural similarity,

Reference 34

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Source-reported events for the cited work

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This paper cites Generating images with perceptual similar- ity metrics based on deep networks,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Generating images with perceptual similar- ity metrics based on deep networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.105201Z

Source-reported events for the cited work

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Observation 095fc6ec-e001-4bf9-bed8-3d778a0bff55 · outbound

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

Multi-Contrast Super-Resolution MRI Through a Progressive Network Perceptual losses for real-time style transfer and super-resolution,

Reference 36

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Observation e699d75c-6ba9-4394-847f-bd05a5c41736 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 37

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Source-reported events for the cited work

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Observation 67c90e7f-18ba-4ebf-8477-08f7c2cc54a6 · outbound

This paper cites Image style transfer using convolutional neural networks,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Image style transfer using convolutional neural networks,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:27.935827Z

Source-reported events for the cited work

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Observation a0cd1de5-d561-4747-86f4-55e0282d08b6 · outbound

This paper cites A Deep Journey into Super-resolution: A survey.

Multi-Contrast Super-Resolution MRI Through a Progressive Network A Deep Journey into Super-resolution: A survey

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:12:28.007190Z

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Observation 5786c6d6-241c-4c7e-b074-1120a661b543 · outbound

This paper cites An information ﬁdelity criterion for image quality assessment using natural scene statistics,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network An information ﬁdelity criterion for image quality assessment using natural scene statistics,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.080652Z

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 c1676a3b-9792-4378-a16f-7b397aceede8 · outbound

This paper cites [Online].

Multi-Contrast Super-Resolution MRI Through a Progressive Network [Online]

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.069010Z

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 64e59377-8acc-46a0-b8a7-375034513271 · outbound

This paper cites [Online].

Multi-Contrast Super-Resolution MRI Through a Progressive Network [Online]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.056959Z

Source-reported events for the cited work

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Observation cd1dc06f-8f72-40e7-bbb4-e23d15dff4bb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Adam: A Method for Stochastic Optimization

Reference 43

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Source-reported events for the cited work

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Observation 64d150e8-4802-4431-adae-abc795f33e77 · outbound

This paper cites Vision 20/20: Simultaneous CT-MRI – Next chapter of multimodality imaging,.

Multi-Contrast Super-Resolution MRI Through a Progressive Network Vision 20/20: Simultaneous CT-MRI – Next chapter of multimodality imaging,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:28.044947Z

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.