Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems | Paper Citation Record

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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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.363752Z

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.348173Z

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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

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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.332166Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.315922Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.300162Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.283998Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.267380Z

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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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.219015Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.203687Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.187072Z

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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; raw_fallback, observed 2026-08-15T21:34:59.171728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:59.155851Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.138998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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; raw_fallback, observed 2026-08-15T21:34:59.121108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

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Source-reported events for the cited work

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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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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Source-reported events for the cited work

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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 2026-08-19T06:32:44.657259+00:00.

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

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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Source-reported events for the cited work

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.803869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.810084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.815635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655ba3cc-7847-438e-a9c6-2f9005fedaaa · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.821193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731cbfc2-9300-43b0-b576-100bafb1287c · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:58.438703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.835289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:34:58.420015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T21:34:57.846170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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