RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference | Paper Citation Record

Observation c896c0e7-1c8c-4c9b-a0e8-1ce31d9a2165 · outbound

This paper cites A closer look at memorization in deep networks.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference A closer look at memorization in deep networks

Reference 1

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Observation 8bddf601-23bb-44d5-a3e7-2db28013d211 · outbound

This paper cites Noise2self: Blind denoising by self-supervision.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Noise2self: Blind denoising by self-supervision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.518706Z

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Observation 0154334c-5fe8-4631-913e-db882c40fc5c · outbound

This paper cites De-noising of contrast-enhanced mri se- quences by an ensemble of expert deep neural networks.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference De-noising of contrast-enhanced mri se- quences by an ensemble of expert deep neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.523655Z

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Observation 73ce1e61-8443-449f-a0e1-18d2ead1025a · outbound

This paper cites Removing structured noise with self-supervised blind-spot networks.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Removing structured noise with self-supervised blind-spot networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.497651Z

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Observation fb565239-a355-4869-b2d9-51e690607cd8 · outbound

This paper cites Low-dose ct with a residual encoder-decoder convolutional neural net- work.IEEE Transactions on Medical Imaging, 36(12):2524– 2535.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Low-dose ct with a residual encoder-decoder convolutional neural net- work.IEEE Transactions on Medical Imaging, 36(12):2524– 2535

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.442889Z

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Observation cff55a05-0c04-436b-90c8-b5009cb7074a · outbound

This paper cites Mr im- age denoising and super-resolution using regularized reverse diffusion.IEEE Transactions on Medical Imaging, 42(4): 922–934.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Mr im- age denoising and super-resolution using regularized reverse diffusion.IEEE Transactions on Medical Imaging, 42(4): 922–934

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.502655Z

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Observation 39cb54ee-7da0-4c1c-88c1-c3b373229a8b · outbound

This paper cites Deep learning for the harmonization of structural MRI scans: A survey.Magnetic Resonance Imaging, 80: 8–23.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Deep learning for the harmonization of structural MRI scans: A survey.Magnetic Resonance Imaging, 80: 8–23

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.478608Z

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Observation c34cff37-35c0-4ede-8ff9-d3f9c92e0af8 · outbound

This paper cites Diffusion models beat gans on image synthesis.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Diffusion models beat gans on image synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.538983Z

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Observation da3d170a-466c-4c92-912e-f78da4fe8da4 · outbound

This paper cites Patch2self: Denoising diffusion mri with self- supervised learning.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Patch2self: Denoising diffusion mri with self- supervised learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.476184Z

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Observation 2fe648e4-8fdf-4d96-aa0a-d2b2649b190d · outbound

This paper cites Corediff: Contextual error-modulated general- ized diffusion model for low-dose ct denoising and gener- alization.IEEE Transactions on Medical Imaging, 43(2): 745–759.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Corediff: Contextual error-modulated general- ized diffusion model for low-dose ct denoising and gener- alization.IEEE Transactions on Medical Imaging, 43(2): 745–759

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.546641Z

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Observation af84d31c-c298-451f-a786-27ed10cdd256 · outbound

This paper cites Hydranet: a multi-branch convolutional neural network architecture for mri denoising.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Hydranet: a multi-branch convolutional neural network architecture for mri denoising

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.458148Z

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Observation c148df3a-25dc-4a61-affd-105a68f95603 · outbound

This paper cites The rician distribu- tion of noisy mri data.Magnetic resonance in medicine, 34 (6):910–914.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference The rician distribu- tion of noisy mri data.Magnetic resonance in medicine, 34 (6):910–914

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.483922Z

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Observation f9b12042-98e7-4802-b494-681e633d3f4d · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Toward convolutional blind denoising of real pho- tographs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.528521Z

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Observation 06036dd5-3c99-4e63-8e73-a7a912aa2f03 · outbound

This paper cites Denoising dif- fusion probabilistic models.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Denoising dif- fusion probabilistic models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.530790Z

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Observation cbdec3ac-f25b-4ff9-8385-ac6d7fd34527 · outbound

This paper cites Ixi dataset.https://brain- development.org/ixi-dataset/.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Ixi dataset.https://brain- development.org/ixi-dataset/

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.507768Z

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Observation 8d5fef9f-3d5c-4524-ac0a-df0f2b9687ab · outbound

This paper cites an unresolved cited work.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-20T17:43:48.446716Z

Source-reported events for the cited work

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Observation e1810d2d-3c8a-402e-aabf-1b173e1b7385 · outbound

This paper cites Training low dose ct denois- ing network without high quality reference data.Physics in Medicine & Biology, 67(9):095008.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Training low dose ct denois- ing network without high quality reference data.Physics in Medicine & Biology, 67(9):095008

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.526195Z

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Observation 1d13f4f4-d38f-4d26-a694-ae5e079fb0b3 · outbound

This paper cites Grdn: Grouped residual dense network for real image denoising and gan-based real-world noise modeling.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Grdn: Grouped residual dense network for real image denoising and gan-based real-world noise modeling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.452874Z

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Observation 902c9386-d976-4e86-83df-6c8b2223ce68 · outbound

This paper cites Noise2void - learning denoising from single noisy images.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Noise2void - learning denoising from single noisy images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.463903Z

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Observation e55b6913-893a-4852-a4aa-f3c1754ac463 · outbound

This paper cites Noise2noise: Learning image restoration without clean data.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Noise2noise: Learning image restoration without clean data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.513654Z

Source-reported events for the cited work

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Observation a04edef8-5cac-49b5-a7e9-dd9415c8cbae · outbound

This paper cites an unresolved cited work.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-20T17:43:48.516284Z

Source-reported events for the cited work

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Observation 809929ce-b8b4-4915-869d-2513562c0496 · outbound

This paper cites Swinir: Image restoration using swin transformer.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Swinir: Image restoration using swin transformer

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.500110Z

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Observation 1e3726ff-cb22-4a31-95c6-210720d98aad · outbound

This paper cites Domain progressive low-dose ct imaging using iterative partial diffusion model.IEEE Transactions on Medical Imaging, 43(12):4449–4461.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Domain progressive low-dose ct imaging using iterative partial diffusion model.IEEE Transactions on Medical Imaging, 43(12):4449–4461

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.487436Z

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Observation 6ce8d8d7-f4f7-43d0-9a2d-a22cd29d3bda · outbound

This paper cites Flow Matching for Generative Modeling.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Flow Matching for Generative Modeling

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Resolution: verified exact; local_arxiv, observed 2026-05-10T09:18:31.303390Z

Source-reported events for the cited work

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Observation 47285d54-f34c-4705-8442-6528d9e5c954 · outbound

This paper cites Noise suppression with similarity-based self-supervised deep learning.IEEE Transactions on Medical Imaging, 41(11):3142–3152.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Noise suppression with similarity-based self-supervised deep learning.IEEE Transactions on Medical Imaging, 41(11):3142–3152

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.481153Z

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Observation 1fcff6bb-3529-4ff1-b40f-c6c9c5215ffb · outbound

This paper cites Quantification of heterogeneity ob- served in medical images.BMC Medical Imaging, 13(1):7.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Quantification of heterogeneity ob- served in medical images.BMC Medical Imaging, 13(1):7

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.474058Z

Source-reported events for the cited work

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Observation 5ca34e1f-803d-46fe-8fd7-efcae7a8e1ea · outbound

This paper cites 2024 greater bay area (huangpu) international algorithm competition: Low-dose ct denoising challenge dataset.https : / / iacc.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference 2024 greater bay area (huangpu) international algorithm competition: Low-dose ct denoising challenge dataset.https : / / iacc

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.455600Z

Source-reported events for the cited work

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Observation 6048509a-bfe9-45db-9467-7506c9ba0ebd · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference U- net: Convolutional networks for biomedical image segmen- tation

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.466473Z

Source-reported events for the cited work

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Observation 02aefd36-5cba-4e29-80fc-c355fa8c7a18 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference U- net: Convolutional networks for biomedical image segmen- tation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.461059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8e06653-7772-4258-9f92-8782b030ec69 · outbound

This paper cites Learning from noisy labels with deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 34(11):8135–8153.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Learning from noisy labels with deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 34(11):8135–8153

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.505328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8607c5e-89b1-46b6-b6d6-423293ed69af · outbound

This paper cites Denois- ing diffusion implicit models.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Denois- ing diffusion implicit models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.533129Z

Source-reported events for the cited work

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Observation afcbd1e3-ab91-42b6-b771-0fff7376df89 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Score-based generative modeling through stochastic differential equa- tions

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.511274Z

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Observation ff6345f2-713a-42d6-b440-94dedf2f4b21 · outbound

This paper cites Solv- ing inverse problems in medical imaging with score-based generative models.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Solv- ing inverse problems in medical imaging with score-based generative models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.471555Z

Source-reported events for the cited work

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Observation a36c94ee-0278-42ea-abd1-0d88a7b4de69 · outbound

This paper cites Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions

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Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:31.307860Z

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Observation eed797fe-c61b-4512-b6ea-25d7c464aa30 · outbound

This paper cites Mem- net: A persistent memory network for image restoration.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Mem- net: A persistent memory network for image restoration

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.548999Z

Source-reported events for the cited work

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Observation ad64f0f5-dff3-4efd-91bd-5f46971e1485 · outbound

This paper cites Sdndti: Self-supervised deep learning-based denoising for diffusion tensor mri.NeuroImage, 253:119033.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Sdndti: Self-supervised deep learning-based denoising for diffusion tensor mri.NeuroImage, 253:119033

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.450093Z

Source-reported events for the cited work

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Observation 260678b9-2e58-4af6-894f-0bd21a35454e · outbound

This paper cites Cnn-dmri: A convolutional neural network for denoising of magnetic res- onance images.Pattern Recognition Letters, 135:57–63.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Cnn-dmri: A convolutional neural network for denoising of magnetic res- onance images.Pattern Recognition Letters, 135:57–63

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.541510Z

Source-reported events for the cited work

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Observation 024f7171-bfd3-42bd-8eb3-2bad57dfc697 · outbound

This paper cites Ddm2: Self-supervised diffusion mri denoising with generative diffusion models.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Ddm2: Self-supervised diffusion mri denoising with generative diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.439881Z

Source-reported events for the cited work

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Observation b85aa9e5-22b5-4965-a884-875d074a7a62 · outbound

This paper cites Deformed2self: Self- supervised denoising for dynamic medical imaging.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Deformed2self: Self- supervised denoising for dynamic medical imaging

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.521344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5180864e-8f3b-44b7-a884-de228d01c248 · outbound

This paper cites Low-dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss.IEEE Transactions on Medical Imaging, 37(6):1348–1357.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Low-dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss.IEEE Transactions on Medical Imaging, 37(6):1348–1357

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.489943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c0ce73c-6593-4621-b67c-242fa4548a18 · outbound

This paper cites Variational denoising network: Toward blind noise modeling and removal.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Variational denoising network: Toward blind noise modeling and removal

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.436602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ada5fe0f-0f69-4088-8fac-ae2dc6f1aaae · outbound

This paper cites A simple low-dose x-ray ct simulation from high-dose scan.IEEE transactions on nuclear science, 62(5):2226– 2233.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference A simple low-dose x-ray ct simulation from high-dose scan.IEEE transactions on nuclear science, 62(5):2226– 2233

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.469086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38f001d0-f752-4cd7-93fa-8adc172555e1 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE Transactions on Image Processing, 26(7):3142–3155.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE Transactions on Image Processing, 26(7):3142–3155

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.492244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad7ca370-a3a7-4907-b0e0-69f1c5ea82d0 · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.536395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c3247c0-055f-4e8b-a497-eeeadf886490 · outbound

This paper cites Cfnet: Conditional filter learning with dynamic noise estimation for real image denoising.

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference Cfnet: Conditional filter learning with dynamic noise estimation for real image denoising

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:43:48.495006Z

Source-reported events for the cited work

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