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Paper Citation Record · LEDGER

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems

As of 16 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2505.09528.

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

pith.paper-citation-record.v1
2505.09528 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:34:57.846170Z

measured 80 of 80 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:10:51.218938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:12:25.994887Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy56
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92faf6c6-5cd8-46bb-88c2-79d909f725a6 · outbound

This paper cites Deep Bayesian Inversion.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep Bayesian Inversion

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.427566Z digest=sha256:ac89a5e85d669b28739b5ce7608d60ba93d479c1d5513b07a866943b4932656f

Observation cb00e69e-94d5-4f6f-8699-e5e8bc5d9e54 · outbound

This paper cites Andersen, Joachim Dahl, and Lieven Vandenberghe.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Andersen, Joachim Dahl, and Lieven Vandenberghe

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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

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Observation c2899a43-e42d-4885-9f7c-799e0be4db82 · outbound

This paper cites Angelopoulos and Stephen Bates.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Angelopoulos and Stephen Bates

Reference 3

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unresolved
no resolver link, observed 2026-08-15T21:34:57.438905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.438905Z digest=sha256:b79c892d0fce442e263e81c79d5084a8de80becdbf68d689cd6a25fe8c858db1

Observation 0fe744b6-4a5c-4af6-9760-d8a03cc48533 · outbound

This paper cites Conformal Risk Control.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal Risk Control

Reference 4

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unresolved
no resolver link, observed 2026-08-15T21:34:57.444433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.444433Z digest=sha256:5497ca523eec3ab16316d9f282c388aea9b4686ed5995ccfeeec3c7382394489

Observation 63145bf0-bf79-45c0-bf00-275ad9bccf38 · outbound

This paper cites Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging

Reference 5

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unresolved
no resolver link, observed 2026-08-15T21:34:57.450260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.450260Z digest=sha256:167ea85627724ad9582399412837ca8b128409257f45df0ab47ebdaf9ded3196

Observation 00582372-5ec6-4f2f-b74c-a1cc5bd5a02a · outbound

This paper cites O ktem, and Carola-Bibiane Sch \.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems O ktem, and Carola-Bibiane Sch \

Reference 6

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.455795Z digest=sha256:c2cdf9134e20ebcb3913001e0fff07a94a1c32cf762e402e9bcf9d6bcfc88587

Observation bd03800d-e715-4249-8fd3-7c1f73b3196a · outbound

This paper cites an unresolved cited work.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Unresolved cited work

Reference 7

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verified exact
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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.

source=arxiv_source observed=2026-08-15T21:34:57.461384Z digest=sha256:f0c19d1ffe7e8f9d5f54766ffe538b5d813799d6540c73e7e80c83780e71c5a9

Observation 369d51e7-192f-42de-a430-df2059bd1c9b · outbound

This paper cites Quantifying model uncertainty in inverse problems via B ayesian deep gradient descent.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Quantifying model uncertainty in inverse problems via B ayesian deep gradient descent

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:34:57.466164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.466164Z digest=sha256:ac3e118afa07679f12874e7eb7dbe27300f3001544cd9066e93af43e492600a4

Observation 731e5b46-ee92-465b-b77d-bd44bd121ce6 · outbound

This paper cites Conformal prediction beyond exchangeability.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction beyond exchangeability

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.470940Z digest=sha256:9ee07d1181fc0f70dc99258dbc716278857cc615b41e1fff7ce59d5c522a6dea

Observation 64c7062d-ac37-4b6d-b26c-883855395004 · outbound

This paper cites Distribution-free, risk-controlling prediction sets.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution-free, risk-controlling prediction sets

Reference 10

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unresolved
no resolver link, observed 2026-08-15T21:34:57.475699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 512241f8-040a-428b-91a2-c975ae156c35 · outbound

This paper cites Principal uncertainty quantification with spatial correlation for image restoration problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Principal uncertainty quantification with spatial correlation for image restoration problems

Reference 11

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 17af6d30-ee57-41ef-a071-646912d892b8 · outbound

This paper cites Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction

Reference 12

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.490036Z digest=sha256:0b891f7e1467594c81e8d74d7bc5af07bf07547760afa86a0fb04defda3a6dbc

Observation ba331527-0d7b-4642-9a21-71555aa098e3 · outbound

This paper cites A regularized conditional GAN for posterior sampling in inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A regularized conditional GAN for posterior sampling in inverse problems

Reference 13

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.494841Z digest=sha256:47a5c6d80bb2169252d52d2f140ed6103ee16d1ddb119bfd1dec3b38eebb1a9f

Observation beec9af8-1206-4542-9cb6-a54841f3aae2 · outbound

This paper cites On hallucinations in tomographic image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems On hallucinations in tomographic image reconstruction

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.499709Z digest=sha256:3e6522a0ea294b6058c63e2b41b9f8d3fcfc0a50b662829232224d7797b328f0

Observation f857e2d3-9c58-460f-9c32-3741455ef92f · outbound

This paper cites The perception-distortion tradeoff.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The perception-distortion tradeoff

Reference 15

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.504697Z digest=sha256:f48664048ae982893adc33bd2bb435f3fb5d3afe22bba996af0da0855015dbfe

Observation a804544f-4d51-403b-8375-051e931aa5a1 · outbound

This paper cites Torchmetrics, 2022.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Torchmetrics, 2022

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.251190Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.510043Z digest=sha256:74db247f4fb58cf5a0226f655c30fd76e9989addf5943107315c162ebbf5450e

Observation c3eba909-ee42-452e-b448-1efa9bd52860 · outbound

This paper cites Oppenheimer, Abhishek Pandala, Juan José Quiroz Omaña, Nikitas Rontsis, Paarth Shah, Samuel St-Jean, Nicola Vitucci, Soeren Wolfers, and Fengyu Yang.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Oppenheimer, Abhishek Pandala, Juan José Quiroz Omaña, Nikitas Rontsis, Paarth Shah, Samuel St-Jean, Nicola Vitucci, Soeren Wolfers, and Fengyu Yang

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.234859Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.515021Z digest=sha256:1777decf15214fd8e0cbbef0cf6523d6fd3a59f4ccf3ee3fb3f2deea0535548e

Observation 8c38281b-98a4-4266-9a8a-0472307c8b6e · outbound

This paper cites Robust validation: C onfident predictions even when distributions shift.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Robust validation: C onfident predictions even when distributions shift

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation b7c3caf5-d31b-4f95-804a-d2c01b41528d · outbound

This paper cites XGBoost: A scalable tree boosting system.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems XGBoost: A scalable tree boosting system

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.526199Z digest=sha256:22a12b5e2dacc900469a92e99027a0a890a725e2e6dba0de6984a2402b6c6ecf

Observation 4b9b54fc-5887-485e-8f4f-f88a630e4731 · outbound

This paper cites The potential dangers of artificial intelligence for radiology and radiologists.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The potential dangers of artificial intelligence for radiology and radiologists

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.532945Z digest=sha256:943ea1fb6bb94f3c88c1fa801f7b3ab6a744ecd1c58271153f44d20e61459267

Observation 1efd16bb-06ee-428d-b1be-b1da02d42487 · outbound

This paper cites Distribution matching losses can hallucinate features in medical image translation.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution matching losses can hallucinate features in medical image translation

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.538488Z digest=sha256:367ac41661b8aa7d99c94e38f3eb9858c47658c15858c14660a5edf96e7bd074

Observation 4e985158-f3d3-4823-bcf7-1c634a93663b · outbound

This paper cites Image quality assessment: U nifying structure and texture similarity.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment: U nifying structure and texture similarity

Reference 22

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.543718Z digest=sha256:988145270c17d4aa62d6834ee9abdb3dcd61a59934c90de32cf955eb20b67287

Observation b5228084-545a-40f2-9c37-e33e652fff78 · outbound

This paper cites Simoncelli.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Simoncelli

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.548970Z digest=sha256:dd0a462836871560923dd9c9702c4247e94d2c433c1f356d9e312709a87f60fe

Observation c514b03c-9e92-4278-aaa1-abf8a34d7635 · outbound

This paper cites Efficient B ayesian computation by proximal M arkov chain M onte C arlo: W hen L angevin meets M oreau.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Efficient B ayesian computation by proximal M arkov chain M onte C arlo: W hen L angevin meets M oreau

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T21:34:57.554531Z digest=sha256:8b22be479098083c2159641aaf9915fa477da0ea759876c25c5b9f2f81da0956

Observation c99c38d0-3ab4-4cff-9b50-2bf1284ad27e · outbound

This paper cites Uncertainty quantification in deep MRI reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Uncertainty quantification in deep MRI reconstruction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.103951Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.559586Z digest=sha256:59295fef247961a6c6e4fbe5ee20196e3ca54616ae04127f702ab6049b73eb0e

Observation adfa7e7a-db00-45b2-aa26-14d97ce351cd · outbound

This paper cites Uncertainty quantification for deep unrolling-based computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Uncertainty quantification for deep unrolling-based computational imaging

Reference 26

Resolution
metadata mismatch
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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.

source=arxiv_source observed=2026-08-15T21:34:57.564545Z digest=sha256:307d0c0aabbf59c928f9a751d0e53f911be3ba06741e7c70d97cee3c97f09fa9

Observation 895d93a3-22f8-4da2-a44c-690e2c399e0b · outbound

This paper cites Quantifying generative model uncertainty in posterior sampling methods for computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Quantifying generative model uncertainty in posterior sampling methods for computational imaging

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.087806Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.569591Z digest=sha256:7425705ecce98d8329206c87e2d1786845931f9563d5c6b71914f6ce71fc761a

Observation 4b17988b-9c40-46af-824f-8141d6b95f04 · outbound

This paper cites Pytorch lightning, 2019.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Pytorch lightning, 2019

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.072117Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.574622Z digest=sha256:3cb69e5610eb8aa081c612e2ff65edd1f92ec9de1b7d325935c622b23122fd30

Observation 0813961f-bc1b-4613-a080-96388e37b209 · outbound

This paper cites A Modern Approach to Probability Theory.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A Modern Approach to Probability Theory

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.055839Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.579418Z digest=sha256:eba713efa42c01e8806c88ffe5e7ad1b207169ee5da9a13af4e623cca3af6b9c

Observation 5495b535-d683-4c51-aea3-35aee198551b · outbound

This paper cites The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.585343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.585343Z digest=sha256:89c31b47fce0d294d2831f26798100f8a9b251bb010ed78fffcc95f77508372a

Observation 8aa982bc-c49c-4978-a031-d4167ab6ab69 · outbound

This paper cites Physics-driven deep learning for computational magnetic resonance imaging: C ombining physics and machine learning for improved medical imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Physics-driven deep learning for computational magnetic resonance imaging: C ombining physics and machine learning for improved medical imaging

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.039399Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.590844Z digest=sha256:f3916a65c9d01f1cd63dd87e8046c9da0dbff1d97008c0c695086999e451ca65

Observation 529e376a-a35e-406d-b838-ab81ecc3c291 · outbound

This paper cites Denoising diffusion probabilistic models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion probabilistic models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.022935Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.595819Z digest=sha256:c203e9a1c46ac31d2e5367fedc3dac95189376be383aaeb5c77ff093aacbcb39

Observation 4d18b9e6-cf41-441c-ac6b-9cd63a42d12d · outbound

This paper cites The promise and peril of deep learning in microscopy.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The promise and peril of deep learning in microscopy

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.005179Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.600824Z digest=sha256:75fea124932fed90141cb5ce05f15fbe25ab4237c67a3d2d85585a4b5f2a1ab9

Observation befa2130-3d73-446d-9a6d-f7413d2e849b · outbound

This paper cites Conffusion: Confidence Intervals for Diffusion Models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conffusion: Confidence Intervals for Diffusion Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.606082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.606082Z digest=sha256:23b1c340e77d0724a77fcf6bbe0bfcc57eb42a3d869a1e76354568146c7fa896

Observation 9bb08fdb-6546-42cc-a58f-b6fedd186b5b · outbound

This paper cites Robust compressed sensing MRI with deep generative priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Robust compressed sensing MRI with deep generative priors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.988944Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.612126Z digest=sha256:1c516f51b95344bf9d5e43943bb534ab6e2f957319ace984a7fa13870d2377a6

Observation 6ee41398-9a34-4276-8821-57013c6fe735 · outbound

This paper cites Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.616990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.616990Z digest=sha256:4b90224064169dc327235b921dd6dec7d47b6be9f4ff3f9af927cd0b00b3b8f6

Observation 6c4a4c8a-94dd-4158-ae32-a6a7d5ee6d6f · outbound

This paper cites Progressive growing of GAN s for improved quality, stability, and variation.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Progressive growing of GAN s for improved quality, stability, and variation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.972618Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.622782Z digest=sha256:c07750b2de9b5e5c6291aca9a82125cfc56a016160f9cdb254f67433e8cd6326

Observation 604ee242-0e47-46ce-b343-b1cdb5a9a352 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A style-based generator architecture for generative adversarial networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.957130Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.627736Z digest=sha256:1310e18f0b33b39e34ec93ef9f12539dd18b6517516b28ea8699626095b0213c

Observation 327779a5-d6b0-4f02-a50e-b58cc9fdbdea · outbound

This paper cites Image quality assessment for magnetic resonance imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment for magnetic resonance imaging

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.939476Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.633014Z digest=sha256:eaeeb4ddae9aca8ee68092c54d14aecbce7c06d82df4949ecb20ced7804e682b

Observation 1e6a09b8-0f41-4422-a21f-541f3a07a991 · outbound

This paper cites Denoising diffusion restoration models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion restoration models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.920239Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.638719Z digest=sha256:fa05b5e3f00bc79c80e59255389a5dd5eeb4c7ad06e134b425f4cd49adec4222

Observation 6b6844ba-e59f-4ef0-b855-e5eedc92a641 · outbound

This paper cites Denoising diffusion restoration models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion restoration models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.902501Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.643849Z digest=sha256:51206bf6c73794a42de550dd01712469f6201271e8dd75c549429ec4cca67daa

Observation 4b04029d-9a03-4662-a71f-d247baca29b9 · outbound

This paper cites What uncertainties do we need in B ayesian deep learning for computer vision? In Proc.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems What uncertainties do we need in B ayesian deep learning for computer vision? In Proc

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.886275Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.648632Z digest=sha256:8100fb58289aa4abad547709aa4446e1bd74f0bea68bbe4cc2d3a3df42365943

Observation 5df5ce5d-e38f-4250-998d-44697e4bfd3b · outbound

This paper cites Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.870019Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.653988Z digest=sha256:fe80bae7cd046792d92665b4107042d5f2dcb6a79493dcc9596a6b40bac3f52f

Observation 70a3cbc8-bbf7-4e74-85d8-b60c9067d32b · outbound

This paper cites Regression quantiles.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Regression quantiles

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.658838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.658838Z digest=sha256:830b81db93c90a770fbc14bf2fcc1c365f435adf5474e35c940a589807d979d5

Observation 96442b4f-c5fe-491c-aa38-3810146a8477 · outbound

This paper cites Conformal prediction masks: V isualizing uncertainty in medical imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction masks: V isualizing uncertainty in medical imaging

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.853382Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.664018Z digest=sha256:52392b2321886066d08f3db66134e45318ac5bd1b7f2564a1512f0c1c4626b97

Observation 40969b46-fd72-4aea-8143-7fc9b09c7848 · outbound

This paper cites Bayesian imaging using plug & play priors: W hen L angevin meets T weedie.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Bayesian imaging using plug & play priors: W hen L angevin meets T weedie

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.836295Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.669032Z digest=sha256:e8c36c2de1b4505d1d05e3b6fc9a3e47af90d536d5b85ff136cb49ba436c218d

Observation faf372c4-0113-42dc-9476-ee730f4a854e · outbound

This paper cites Distribution-free prediction bands for non-parametric regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution-free prediction bands for non-parametric regression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.674092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.674092Z digest=sha256:467f9706e28555932c2907449ee130524cf4b9fa9575a739fd21faecda161846

Observation 524ccd99-e20c-4bec-ac61-9b979bf62ae9 · outbound

This paper cites Tibshirani, and Larry Wasserman.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Tibshirani, and Larry Wasserman

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.818425Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.678831Z digest=sha256:28df09534de568427076ccd5c003df93ece4b6adca7e9b2411b568814986a17c

Observation 371c8503-4b3a-4211-9945-63edf9ce9f7e · outbound

This paper cites Perceptual visual quality metrics: A survey.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Perceptual visual quality metrics: A survey

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.801856Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.683548Z digest=sha256:1c107558ce1e621dc4bc2e16e907c2c42d85c6fdea4e9109c7bca3cb8b2057a2

Observation e2a6feb5-c208-461b-b9d2-6d917f150c60 · outbound

This paper cites Convolutional neural networks as a model of the visual system: P ast, present, and future.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Convolutional neural networks as a model of the visual system: P ast, present, and future

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.784023Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.688231Z digest=sha256:d71bafd79d1a0a76b55b80cab9e97c15ec2eb7637f7b0ca295dda01e03409610

Observation a5abf614-876d-4c2c-8eeb-d6e82b4391cb · outbound

This paper cites Results of the 2020 fastMRI challenge for machine learning MR image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Results of the 2020 fastMRI challenge for machine learning MR image reconstruction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.765866Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.693419Z digest=sha256:ba6cf5a124c91c02e50ab1f3a258eee97119a75c8ba3c96d7f93bb05143fd29a

Observation ec8ddacd-cc21-4487-9f35-f5657fe44f9a · outbound

This paper cites Bayesian uncertainty estimation of learned variational MRI reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Bayesian uncertainty estimation of learned variational MRI reconstruction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.749153Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.698358Z digest=sha256:2b06eb0814aaeffdafa394fb5ccced4f9a12a64bd4966d2b4c60993ce484e4cb

Observation cd20fad6-c313-45e8-9e69-aac49a192bb9 · outbound

This paper cites Posterior-variance-based error quantification for inverse problems in imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Posterior-variance-based error quantification for inverse problems in imaging

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.730531Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.703182Z digest=sha256:d353241ee5d415764b2d0b068e6192f1bb30ecde22e6a6c950e351ec8f41c680

Observation 34b7a7de-f6f4-4c9c-8ebe-cb8f53441fe0 · outbound

This paper cites Inductive confidence machines for regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Inductive confidence machines for regression

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.708003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.708003Z digest=sha256:c4ec53803fb0a4b25700e8ee8734b7106de7db44b9feaf5001a92ee17600b26e

Observation a3cfdb31-2248-420e-9d1e-31672a54ca11 · outbound

This paper cites PyTorch: A n imperative style, high-performance deep learning library.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems PyTorch: A n imperative style, high-performance deep learning library

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.712326Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.713874Z digest=sha256:dca05d3af5b74bf8223df01f8ca2113511fff9e4b32700f4897e5135387f9295

Observation 673f5d11-a69a-49df-b463-d17f85d387e2 · outbound

This paper cites The NMR phased array.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The NMR phased array

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.693381Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.719720Z digest=sha256:0be42fba97f5c15d5e0be023dc9fa8f8dbb44a16bec105527ded96943cb44d79

Observation eee6b8f5-4821-4443-a94b-f27c9616e45f · outbound

This paper cites Conformalized Quantile Regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformalized Quantile Regression

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.726151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.726151Z digest=sha256:ab7be0399dff7057b24c47da37ea6c24f7c818ef46add9870430a74ae6ac1495

Observation 6ae6f145-f76c-435d-b76b-aa88280a5351 · outbound

This paper cites Semantic uncertainty intervals for disentangled latent spaces.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Semantic uncertainty intervals for disentangled latent spaces

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.732535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.732535Z digest=sha256:07fd7c7c6a15ca3a2cfab32ed493f9addc85875f503c78b0cbacd142431ca45f

Observation b570dd69-6c7d-44ae-a6b8-eff5a3a4baf9 · outbound

This paper cites Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.676617Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.738354Z digest=sha256:dd633bd4c45f22c6743a3cfd8d5dc7381461a78168768e6070643cf0c2a94cd8

Observation dcfeb408-9e4c-4b96-bda5-b5a58c24a385 · outbound

This paper cites Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.659172Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.743651Z digest=sha256:a8db43e35e1ba9fe9dd82145ffdac7f77f7b9284387e8a892b8f85cad4d1b82a

Observation 42d92cef-2197-434d-a2c3-52a46530dc9e · outbound

This paper cites Generative Flows with Invertible Attentions.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Generative Flows with Invertible Attentions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:34:57.908988Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.748511Z digest=sha256:6f2b7e45ae0de65d77b93b4a8e049ebe79fc148fb6c277824b5b9e2f4b46404a

Observation d19084bf-3107-40c8-b9fb-1d3e189ffb65 · outbound

This paper cites Deep probabilistic imaging: U ncertainty quantification and multi-modal solution characterization for computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep probabilistic imaging: U ncertainty quantification and multi-modal solution characterization for computational imaging

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.640364Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.753682Z digest=sha256:5253f72ccc22523b922fb555d76d472fa0d161d753ee0d9d224591f0ea030536

Observation 9d283c02-2e72-4be4-83aa-ad3935a42b32 · outbound

This paper cites Webster Stayman, and Jeremias Sulam.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Webster Stayman, and Jeremias Sulam

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.619946Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.759048Z digest=sha256:8b619853b192658f765d6a679d1c255d36b9bfadd3007ea10e2014824c097890

Observation 80a0c07a-fb61-4a42-afa6-c640cd884b4b · outbound

This paper cites Conformal prediction under covariate shift.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction under covariate shift

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.597826Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.763781Z digest=sha256:426ed8309a856dc9f6fb56360f8100557e6d48bcb049dd61b6b5a88cba9a992c

Observation 64fab909-0fe9-4874-b32a-961c1862edfd · outbound

This paper cites Hallucination index: A n image quality metric for generative reconstruction models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Hallucination index: A n image quality metric for generative reconstruction models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.579304Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.768565Z digest=sha256:03a9739226ec779adaba17cf5029b142932e32406766d0bcc1d97ed9d489b8e7

Observation 7f83a1b0-8712-4011-8a3c-cfe8d1c673b5 · outbound

This paper cites Variational inference for computational imaging inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Variational inference for computational imaging inverse problems

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.559480Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.773742Z digest=sha256:42ec2baf5df7a9c910afb964157ebe17ddab780301caf3878af2b70fd4c0ce38

Observation 036db317-8800-4db9-b625-2ad5ac151e46 · outbound

This paper cites Algorithmic Learning in a Random World.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Algorithmic Learning in a Random World

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.538343Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.779215Z digest=sha256:2d027b99d074b6649856c0f14abaa7224fd558a26ee67857790385ebbf9219c4

Observation f9a49e5d-3af0-45e3-b55c-24dab71d3126 · outbound

This paper cites Applications of objective image quality assessment methods.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Applications of objective image quality assessment methods

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.520248Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.784268Z digest=sha256:9d6e8d9158b14cc387c25d44b9c606b14eb81d42449c18f22c37d146df946ce0

Observation 958b6f0e-8bb3-423b-aa33-6f7e1fdc1584 · outbound

This paper cites Image quality assessment: F rom error visibility to structural similarity.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment: F rom error visibility to structural similarity

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.503490Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.788973Z digest=sha256:b67bd1599fc0c4fa407d07cf32f8ff7b3c3dd6fb281cf638dd0117f86581d0e4

Observation 30aef41d-a9a0-4cb6-81d0-3e179824e17a · outbound

This paper cites A conditional normalizing flow for accelerated multi-coil MR imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A conditional normalizing flow for accelerated multi-coil MR imaging

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.486660Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.794022Z digest=sha256:3da6eed27431bf9e14fa4fb9c79d34a0d9f93268d7e0f677cbd3df3966bd5a05

Observation 310a87af-9867-4357-bf48-fb4b9541dd17 · outbound

This paper cites MRI CNF , 2023 b.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems MRI CNF , 2023 b

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.469542Z

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.

source=arxiv_source observed=2026-08-15T21:34:57.799172Z digest=sha256:51f363eb09c1f9ed9435d8ccd92a5e42efbc6be5e1f32856d1b853508bc9795c

Observation 4c2833a5-43dd-46d9-8f77-cd3fe37f4c10 · outbound

This paper cites Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Reference 72

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Observation 9f7a0de0-cc04-493e-8ab3-dde9f260539b · outbound

This paper cites Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 73

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Observation 1e714eea-5d56-4eb9-80a3-52ad8f6423c7 · outbound

This paper cites Reliable deep-learning-based phase imaging with uncertainty quantification.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Reliable deep-learning-based phase imaging with uncertainty quantification

Reference 74

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This paper cites Using goal-driven deep learning models to understand sensory cortex.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Using goal-driven deep learning models to understand sensory cortex

Reference 75

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This paper cites Stable deep MRI reconstruction using generative priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Stable deep MRI reconstruction using generative priors

Reference 76

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Observation c22ef285-0a8c-4755-8d98-f2e50d215214 · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 77

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Observation fed2c854-fb7f-463a-8937-c7ff4acf5e2e · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The unreasonable effectiveness of deep features as a perceptual metric

Reference 78

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Observation 9e8eea89-5737-4105-b471-9444ba6dec7e · outbound

This paper cites write newline.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems write newline

Reference 79

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Pith citing papers

Observation 03faaefa-7cc0-4ecf-8197-6d80440c6313 · inbound

Flow-Based Conformal Predictive Distributions cites this paper.

Flow-Based Conformal Predictive Distributions Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems

Reference 45

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