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Paper Citation Record · LEDGER

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI

As of 13 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2508.14950.

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

pith.paper-citation-record.v1
2508.14950 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T22:21:18.385516Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

76 of 76 outbound references displayed

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  • verified fuzzy44
  • unresolved29
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16841860-15e7-4fa2-96b4-82ab2e595550 · outbound

This paper cites Kappeler, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Kappeler, S

Reference 1

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Observation 03292675-b43a-45f9-a9ee-981f25c3946e · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 039d0fb0-b625-4e77-9364-092d7cea58ff · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 24678194-adb4-4fd1-8520-23e653f7e2d4 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 055bc76e-9211-43b3-9f35-8ede6165c460 · outbound

This paper cites Keys, Cubic convolution interpolation for digital image processing, IEEE transactions on acoustics, speech, and signal processing 29 (6) (2003) 1153–1160.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Keys, Cubic convolution interpolation for digital image processing, IEEE transactions on acoustics, speech, and signal processing 29 (6) (2003) 1153–1160

Reference 5

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Source-reported events for the cited work

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Observation 3ba2cf9b-9025-44c4-b8b2-5acf28dae193 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation a5737cd8-2b0b-488f-b1d1-682821877511 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 5aff902b-847e-46cd-a918-b8091e5ac99f · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 23c87901-ad68-4ec2-b9e7-3bba32d31811 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 99059b48-f111-4add-ba38-87b1d7ce1822 · outbound

This paper cites Ledig, L.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Ledig, L

Reference 10

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Source-reported events for the cited work

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Observation 21a86898-d9f3-4159-92db-ed39964078a7 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation a1b3c26c-657a-4984-9e17-f630b500d0a3 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 58a83f21-71a0-4494-8e94-dd4d3ebce735 · outbound

This paper cites Karnewar, O.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Karnewar, O

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 8de30a8b-c0dc-494c-9466-8e86e481265d · outbound

This paper cites Liang, H.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Liang, H

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0d9322b8-d52d-4ac5-a4bf-49f446cd7af4 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation c65654d8-2722-46ad-84f1-e03643265eb3 · outbound

This paper cites Goodfellow, J.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Goodfellow, J

Reference 16

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Source-reported events for the cited work

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Observation e90c3f75-879f-4faa-a3f2-b5a4edcfcfdb · outbound

This paper cites The relativistic discriminator: a key element missing from standard GAN.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI The relativistic discriminator: a key element missing from standard GAN

Reference 17

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Source-reported events for the cited work

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Observation 7c6ea356-a172-4718-bf25-6324ab5b68f2 · outbound

This paper cites Vinuesa, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Vinuesa, S

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 6fa1245f-77ab-4134-832c-a3186bc3fb53 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 6f1c21e1-0679-4e8a-ac76-2599acfbf693 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 26ef2cae-e12a-4e1d-8247-88ae80e858c9 · outbound

This paper cites Christensen-Jeffries, O.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Christensen-Jeffries, O

Reference 21

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Source-reported events for the cited work

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Observation 153f8127-e26b-4142-81db-2fecf39ce84f · outbound

This paper cites Markl, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Markl, A

Reference 22

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Source-reported events for the cited work

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Observation ca49a9ca-a04f-4117-ad7e-dcf6e98e8f72 · outbound

This paper cites Stankovic, B.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Stankovic, B

Reference 23

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Source-reported events for the cited work

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Observation b2de2aad-94af-4a2f-876d-45be7b95b0f3 · outbound

This paper cites Aristova, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Aristova, A

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 8dcd5d24-4e43-4d1a-92dc-660825a0cd8b · outbound

This paper cites Marlevi, J.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Marlevi, J

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a57ff47e-b6bb-41b9-96d7-ce6341b5c5d2 · outbound

This paper cites Hyodo, Y.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Hyodo, Y

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 66d9ca9c-a073-4f3d-bd9f-6afc9d1edb33 · outbound

This paper cites Schnell, C.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Schnell, C

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 53db13f5-defb-4e1f-bc55-1e45a40f3c64 · outbound

This paper cites Aristova, J.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Aristova, J

Reference 28

Resolution
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Source-reported events for the cited work

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Observation f3c781f0-7430-48ba-a2f0-276f0f2bb00d · outbound

This paper cites Gottwald, J.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Gottwald, J

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e609002c-d78f-42d0-8237-546d5dd828b7 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f2b73af7-3c8f-4130-9683-779420ecb401 · outbound

This paper cites Ferdian, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Ferdian, A

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 25eae1c0-04bc-4252-88b2-a36ba33f65aa · outbound

This paper cites Ferdian, D.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Ferdian, D

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a90c1e71-f700-4690-9d7a-7fd67fb6df8b · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3d065155-37d6-4fbf-ac5e-47f4b8a17371 · outbound

This paper cites Saitta, M.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Saitta, M

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 195e094a-5215-48d4-832e-6a4409988e73 · outbound

This paper cites Rutkowski, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Rutkowski, A

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 99443464-8e84-4bd4-a08b-8a98b3be256a · outbound

This paper cites Szajer, K.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Szajer, K

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e20b504c-c397-4404-a313-5b528e6813c2 · outbound

This paper cites G ¨uemes, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI G ¨uemes, S

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.748539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:0deff1306151795bb780121316f365bbd17ae1699e7a7136f653430b4a059423

Observation bbc46746-8b4a-4187-b026-e213ba03e84a · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.745542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:72f509202d8c5c7e18e721c6f5ef1d50a07eb4af7688c8569e5d9d9c7127fcf9

Observation 344b6d59-5a31-4c88-8aac-9ce0c3df2812 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.751713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:784ccd447467f87ac702d20745682499c2d08f8cf6d6ba7b3ab5a3e670a53f10

Observation 451c4669-43ec-4946-b55d-5e799b59f937 · outbound

This paper cites Zhang, H.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Zhang, H

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.736515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:b8f6a594bcff891e7182f42b5b53aa8adb0c14320f0e65d1cb5b58181de30ca2

Observation d68a93f2-6183-4522-a819-7644fc424d43 · outbound

This paper cites Saxena, J.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Saxena, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.739512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:e9fdd5e6b824b804b4f6ca94d6bf7decf24e794fe14783a08cda539d336d5953

Observation 2bc95890-9449-4174-bc67-8c2c6264e816 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.788682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:e26a5a58a1bc5d8cc4f1986b03e7a71e673ee89bcf20b9268c2080679d6ca852

Observation 00642046-0ada-4d35-b538-90341a53249a · outbound

This paper cites Arjovsky, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Arjovsky, S

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.805483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:56d00c06e920b98cdfc8fda4b9bb7bb63773a58b0109250acf6a26b3b925f482

Observation ad13e768-90ca-47d1-8fe3-cd22251b94e2 · outbound

This paper cites Mescheder, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Mescheder, A

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.881823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:9c571f7d0017c099409dbfcf58408de4b6dc6de3ab8c1759a739c5210763e912

Observation 97009b6e-a872-4311-87e7-b4886668121e · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.855336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:5e17fd07b45858ee224e96b3966753e9ab0c40a3aef125fad68e22011d7ea512

Observation 5fc69014-d86f-4cc8-8cf1-17e88539f5c6 · outbound

This paper cites Zhang, P.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Zhang, P

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.868143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:e7b767d96e802337f955b9bb1d5cea7e34bbae86120b563446801a8631221dd9

Observation 6473fc9a-18b1-4889-806f-9738b2a4027d · outbound

This paper cites Schollenberger, N.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Schollenberger, N

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.873151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:54d93787700945590200993d5952b8cb299501f46e0481edcda7bb5642013378

Observation aad29452-5615-465b-95c2-b2a8409e7a99 · outbound

This paper cites Ericsson, A.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Ericsson, A

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.899837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:46c8088372aab368a1464c137b29a582435e95aca4a15096c223cb6c174d0c55

Observation 5b908cca-9795-464a-841a-ffa9c506a4aa · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.857881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:2619a4ba84c157f54d6d9bd4d30d2da0ed21d9dd186e9f7ea393de8c0febf543

Observation 7ba25cfe-701d-4852-8083-e53d32e4c39b · outbound

This paper cites Schollenberger, D.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Schollenberger, D

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.864940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:35f92bc72566dadbd0e2da3fadebb6b91d97b6b7ce2811e705af9d33cccafbba

Observation d18525b4-1344-4571-921a-70db35cc84f8 · outbound

This paper cites Schnell, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Schnell, S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.946817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:1c3a674ae03348539a272a19fdede6b188a70869149b3d902f17276bc190f11c

Observation 2aa3968b-4ef1-42ae-bef0-e75c3cc6f189 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.932456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:62bff8ed6c8cb84d0ce37b246ec8a35ec43c3d8a81bf972c450a8ccccc476974

Observation 8e7461c6-b6e9-4160-a68f-ba036f5218e7 · outbound

This paper cites Gulrajani, F.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Gulrajani, F

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.875919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:cb35b775d3934111a6839ea3f369a2302bd84d41bef3eb5f341fec7d934cf5e8

Observation 4a20cb3d-53aa-4a51-bb6d-c163721a8863 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.892234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:dc60b6508a37a63362cd9a127ab3e3e5d067c6b59cb1c9440edd6a2bb7de161f

Observation 918bfe16-242e-498a-835c-89e4f05f875c · outbound

This paper cites Ahrens, B.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Ahrens, B

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.838947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:c42dbd4d878c3f9d9df95464d6fa82204f4c7bf18bf128923be618e1c0db81eb

Observation b3cc636d-b89a-4025-8ceb-385ec98062e6 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.924771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:783fbdf0e9ddca462df2c6ce321751fa0cc6eaaf8a868bdbf17e3ddec3033ee3

Observation c14ffb1a-c03f-4264-93f7-919f8f27d49d · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.870727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:13d1a3c76f0bc6c71f544ad97e436042f3967e241a5371b1791f949e3dc35c23

Observation 7243ffc2-5fd3-4e49-9971-cc52d8edef61 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.920821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:48a3445f19d8d1beb59bb7dd25f5b3bbab661073845a70c5e7e07a1a78250d84

Observation 5a28f1f6-b20e-49cd-b4a1-aef96d2237a3 · outbound

This paper cites Heusel, H.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Heusel, H

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.928043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:355bed56dfd6d7124cae4810ca7692f8f5a34bad2cf045d618116a8fd6417eb6

Observation 3bf74781-ab9c-4ebe-bba4-981352644d24 · outbound

This paper cites Face Super-Resolution Through Wasserstein GANs.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Face Super-Resolution Through Wasserstein GANs

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:21:52.775770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:0dc2588fd1e0773ab2403790f5b952fdee427b5dead20e43bb63b12a31621344

Observation ed7eb80f-8b73-4d6b-87b4-3d92a86ea926 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.860375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:22aa3a24465d5c7cf66f4b719029476ef3061f05414fc8cd2e868484071fa251

Observation e98bdfee-ef72-4403-a5d4-65fc50f6041b · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.852634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:169358850272eabf31eb82a7ba5ffc83e5fa6e9d6eb59f1aa2b86b21a33a5aa8

Observation a68eb38d-e99f-41e3-a151-ff27dce713a3 · outbound

This paper cites Jiang, Z.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Jiang, Z

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.878603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:3a5ba1f3d1802c8007445b3e4ec27ffb623fbe4e0786828941375822715594cd

Observation 9d5fd0af-9c7b-44fd-9805-fd32e22281b2 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.954131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:2f3fa73f6f4fac8b796c6e93b086c22e565657afe5940bbab60b0fb460bd894b

Observation c16c41ed-f1c2-4dcd-b0c8-ec827457eb20 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.936441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:c8d0ae1f02f19d4ec182fe632adcfee978e459b93673d90995b3fa15e02cf0d4

Observation fb4abece-a342-4b6d-a620-708699d936d9 · outbound

This paper cites an unresolved cited work.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:21:53.957079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:5ce8cf248f95127a8201862790495db5751c3a2c94dea88c0bce0c8604d07528

Observation bc7c249e-a380-4fe5-b38f-04810cd4b281 · outbound

This paper cites Kissas, Y.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Kissas, Y

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.846602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:cf2591eae1bace0f986db4cd189bba2689f896ac246a106791a1d62d94eec856

Observation 92d8ec7a-7372-4701-8d75-296fad7b0952 · outbound

This paper cites Shone, N.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Shone, N

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.943310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:d1c8adbaadacd2694a896afe004d62929023ff9b9f5e54acd1bffbfe8e9d90b0

Observation c42f296c-f42b-421e-ac5d-2636353190f7 · outbound

This paper cites Sautory, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Sautory, S

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.950192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:72920e1aeaea84dc7e8e86de08bb4180ca296bcd7c1387bec8940a0203c5640d

Observation 355ce738-0de9-463f-a0a0-2a05f608883b · outbound

This paper cites Gormezano, S.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Gormezano, S

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.833332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:c7818c9f582e06b95605c0902f86dd3c9b0a19fd019cc2884bf8cbdac7e30f08

Observation fc451b35-2953-4216-8514-d50bd0aa14c7 · outbound

This paper cites Catapano, G.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Catapano, G

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.917024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:2ed221b2de43e15a6aae9dfacb1aa2ab2d33cb7293fb2a4fd1a6e5db398b13e7

Observation d8ab70ae-aa10-44e9-8a69-0e215578b5d3 · outbound

This paper cites Demirkiran, P.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Demirkiran, P

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.844124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:95fa1c484d6316c94cc7443abfa23cd1af182dcfd5a9e40fd253c6aafa79bf13

Observation 9d851047-03b3-4310-b82a-357d0e9acb70 · outbound

This paper cites Knapp, M.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Knapp, M

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.830367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:871001b3c5c6787c144a1a113f1e6a6d8e224a85a36c701e9a2b542f4e67bb43

Observation c064c96c-e2e7-41c9-b17c-7df710496985 · outbound

This paper cites Yamada, H.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Yamada, H

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.836107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:17ff6520e7d0b030f14d2fc4757b4ac7b673b28dcc6e366b1d7491141d010ffa

Observation e1bd1582-57ee-4026-84d3-5911b457b34c · outbound

This paper cites Takehara, 4d flow when and how?, La radiologia medica 125 (9) (2020) 838–850.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Takehara, 4d flow when and how?, La radiologia medica 125 (9) (2020) 838–850

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:21:53.841564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T22:21:18.385516Z digest=sha256:79de37a9db43fe487671e07cda948abae127c644174997ad4953d01256549ea5

Observation b70fd2e2-0185-4f78-9ce2-c9f47d1aba67 · outbound

This paper cites Deep learning for temporal super-resolution 4D Flow MRI.

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI Deep learning for temporal super-resolution 4D Flow MRI

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:21:52.765225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.