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Paper Citation Record · LEDGER

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement

As of 18 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2501.13514.

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

pith.paper-citation-record.v1
2501.13514 v3

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:59:20.628855Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f4ce1d-1374-4ba7-be9e-b169385b8fd8 · outbound

This paper cites Ssfd: Self-supervised feature distance as an mr image reconstruction quality metric.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Ssfd: Self-supervised feature distance as an mr image reconstruction quality metric

Reference 1

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Observation c6bfd84c-3355-4d56-82df-651f10b7b9e2 · outbound

This paper cites Evaluation of the accuracy and precision of the diffusion parameter estimation with gibbs and noise removal pipeline.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Evaluation of the accuracy and precision of the diffusion parameter estimation with gibbs and noise removal pipeline

Reference 2

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Observation c3d45302-7fa5-4f92-8147-f63bb49ba40f · outbound

This paper cites Cold diffusion: Inverting arbitrary image transforms without noise.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Cold diffusion: Inverting arbitrary image transforms without noise

Reference 3

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Observation c1d5f919-343c-48fb-88ce-bf7f5d037f53 · outbound

This paper cites Mr diffusion tensor spectroscopy and imaging.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr diffusion tensor spectroscopy and imaging

Reference 4

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Observation 5b195437-9d72-4326-a4c0-5a89be00bbb5 · outbound

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

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2self: Blind denoising by self-supervision

Reference 5

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This paper cites Mr diffusion tractography.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr diffusion tractography

Reference 6

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Observation 6c097955-f776-453b-a662-d92fc44aba80 · outbound

This paper cites Restore: robust estimation of tensors by outlier rejection.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Restore: robust estimation of tensors by outlier rejection

Reference 7

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Observation 18960b81-a907-4073-8f85-5f17cbd91cae · outbound

This paper cites Informed restore: a method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Informed restore: a method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts

Reference 8

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Observation 7d0fc265-7671-43af-b7b6-b1c37a802f2a · outbound

This paper cites Utility of deep learning super-resolution in the context of osteoarthritis mri biomarkers.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Utility of deep learning super-resolution in the context of osteoarthritis mri biomarkers

Reference 9

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Observation a5bcbfb9-cdaf-4b9b-ac31-8ba989454d85 · outbound

This paper cites Xq-nlm: denoising diffusion mri data via x-q space non-local patch matching.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Xq-nlm: denoising diffusion mri data via x-q space non-local patch matching

Reference 10

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Observation 1eab154c-6a88-414d-9a17-0fdd8e71ee79 · outbound

This paper cites Noise reduction in diffusion mri using non-local self-similar information in joint x- q space.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise reduction in diffusion mri using non-local self-similar information in joint x- q space

Reference 11

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Observation b3d629cb-f3d2-4035-8076-794ba6d9f19e · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Generation.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement WaveGrad: Estimating Gradients for Waveform Generation

Reference 12

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This paper cites Mr image denoising and super-resolution using regularized reverse diffusion.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr image denoising and super-resolution using regularized reverse diffusion

Reference 13

Resolution
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This paper cites Improving diffusion models for inverse problems using manifold constraints.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Improving diffusion models for inverse problems using manifold constraints

Reference 14

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Observation 9f05c418-7b75-4c80-aae1-39f58769360d · outbound

This paper cites Complex diffusion-weighted image estimation via matrix recovery under general noise models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Complex diffusion-weighted image estimation via matrix recovery under general noise models

Reference 15

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Observation bbdb6c23-39b1-4ac1-aef6-801595b3f5c3 · outbound

This paper cites An optimized blockwise nonlocal means denoising filter for 3-d magnetic resonance images.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement An optimized blockwise nonlocal means denoising filter for 3-d magnetic resonance images

Reference 16

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Observation caa97439-ac41-42b5-bc80-5581fac647ff · outbound

This paper cites Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising

Reference 17

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Observation 15d3c251-c79c-4a5d-85df-b8e1e86bdfbb · outbound

This paper cites Diffusion models in vision: A survey.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffusion models in vision: A survey

Reference 18

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Observation f0dffed7-c146-430b-a6c2-c5ce321f499c · outbound

This paper cites Measuring robustness in deep learning based compressive sensing.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Measuring robustness in deep learning based compressive sensing

Reference 19

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Observation 080b802b-c76d-4ab9-b6a2-d20ad66dbcef · outbound

This paper cites Vortex: Physics-driven data augmentations for consistency training for robust accelerated mri reconstruction.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Vortex: Physics-driven data augmentations for consistency training for robust accelerated mri reconstruction

Reference 20

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Observation edf4ceef-88e5-4d91-84dd-5bf3af0f57e6 · outbound

This paper cites Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning

Reference 21

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Observation 4515b30f-b99c-4134-b1f8-5a9dffa76279 · outbound

This paper cites Left-invariant diffusions on the space of positions and orientations and their application to crossing-preserving smoothing of hardi images.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Left-invariant diffusions on the space of positions and orientations and their application to crossing-preserving smoothing of hardi images

Reference 22

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

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Patch2self: Denoising diffusion mri with self-supervised learning

Reference 23

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Observation 442ca5a8-03ae-4a77-9968-087d48eeb422 · outbound

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

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Patch2self: Denoising diffusion mri with self-supervised learning

Reference 24

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Observation 9d12181f-24a6-404d-8704-829a87c56f32 · outbound

This paper cites Patch2self2: Self-supervised denoising on coresets via matrix sketching.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Patch2self2: Self-supervised denoising on coresets via matrix sketching

Reference 25

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Generative diffusion prior for unified image restoration and enhancement

Reference 26

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This paper cites Corediff: Contextual error-modulated generalized diffusion model for low-dose ct denoising and generalization.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Corediff: Contextual error-modulated generalized diffusion model for low-dose ct denoising and generalization

Reference 27

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Dipy, a library for the analysis of diffusion mri data

Reference 28

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Observation 4068068c-b97c-4cc8-b688-68b9e8c1f3e6 · outbound

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Simultaneous noddi and gfa parameter map generation from subsampled q-space imaging using deep learning

Reference 29

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Observation 564f59a2-d45e-4f6f-b0a0-6b13cca9d53d · outbound

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Towards quantitative connectivity analysis: reducing tractography biases

Reference 30

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This paper cites The elements of statistical learning: data mining, inference, and prediction, volume 2.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement The elements of statistical learning: data mining, inference, and prediction, volume 2

Reference 31

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This paper cites Denoising diffusion probabilistic models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising diffusion probabilistic models

Reference 32

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Neighbor2neighbor: Self-supervised denoising from single noisy images

Reference 33

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Observation 5c523b49-6e6d-4ec3-a962-cf5d40ef46e1 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Estimation of non-normalized statistical models by score matching

Reference 34

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Observation 5ad18e69-1f4c-417d-adbb-e0b87fd42412 · outbound

This paper cites Retrospective harmonization of multi-site diffusion mri data acquired with different acquisition parameters.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Retrospective harmonization of multi-site diffusion mri data acquired with different acquisition parameters

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.292726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.263119Z digest=sha256:372190d554f0bf2fb2eef23ef1f6dac080a8112b3cb74f0d91257987c688d9f2

Observation 56a85f2a-d313-4fa4-86d9-0cead3fa9eb4 · outbound

This paper cites Denoising diffusion restoration models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising diffusion restoration models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.267763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.269243Z digest=sha256:11604bd62021e838189ac806d45d8fe5866193f39e221b4c7289b2ab0b150b6a

Observation b3d75aaf-b746-43cd-8a88-e3d116fb07f9 · outbound

This paper cites a ggstr \.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement a ggstr \

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.243478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.276364Z digest=sha256:8702a9b3160c0841089f153bb943eb85a659522c719784b326bd223f7df18afe

Observation da7b4e4e-dcf2-4c3c-9adf-dff737c080ab · outbound

This paper cites Noise2score: tweedie’s approach to self-supervised image denoising without clean images.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2score: tweedie’s approach to self-supervised image denoising without clean images

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.282314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.282314Z digest=sha256:413496e6290478989d00ae4694651c54997adfbed3a3ec737f49e0742b3a6e3e

Observation b9ccd614-04ae-4df6-bb83-ba166e09217b · outbound

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

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2void-learning denoising from single noisy images

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.207014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.288237Z digest=sha256:6c8624a2049485f81e215b84740f062a2c4d16deeba3eb742e9b13050798f681

Observation fe2437bd-ae62-49d0-8a33-b0eade18815a · outbound

This paper cites High-quality self-supervised deep image denoising.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement High-quality self-supervised deep image denoising

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.185170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.293896Z digest=sha256:1840e7a84e18dd51ebec5a97f78d8384c0525e1bab5ea89320d84686d35bc562

Observation c37dbbc8-bb48-453a-a9b6-9d31f4d9149a · outbound

This paper cites Looking into the functional architecture of the brain with diffusion mri.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Looking into the functional architecture of the brain with diffusion mri

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.167477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.299443Z digest=sha256:22b64261729be237ad6ab625c1411ecfa765380a019a634d79a15a57ede267b0

Observation b1808a6b-c120-417f-bdd6-d49a6a63d8c1 · outbound

This paper cites Artifacts and pitfalls in diffusion mri.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Artifacts and pitfalls in diffusion mri

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.148134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.304866Z digest=sha256:901b70c486c7683dca16606fed79c17911d0131457a1805b672df8602fe31e4e

Observation f013b220-94a9-4ef4-8e3d-c96a2a1822f5 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2Noise: Learning Image Restoration without Clean Data

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.310789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.310789Z digest=sha256:4e635cf4fb32b539d390e4e1e00fc3df499fb8b198054a839f19c77bcce1e8e4

Observation db8ab64b-3ff9-435b-8d35-aacef6e93aa8 · outbound

This paper cites Diffusion weighted image denoising using overcomplete local pca.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffusion weighted image denoising using overcomplete local pca

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.130310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.316565Z digest=sha256:77f1860486f8f6cd511ee0d01780b373abdfd46b7f3956d3a791d119b3f4eb5c

Observation 9abd5dfe-dd72-4423-835c-c52e21eaa57b · outbound

This paper cites Zero-shot noise2noise: Efficient image denoising without any data.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Zero-shot noise2noise: Efficient image denoising without any data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.111190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.322124Z digest=sha256:c70703cb5871964d6abb4e948e54dda5438e192ed3194eee6a429466747aaf57

Observation 56462014-86e8-440e-b292-da4ebfbd4b9d · outbound

This paper cites The parkinson progression marker initiative (ppmi).

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement The parkinson progression marker initiative (ppmi)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.091467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.330522Z digest=sha256:00df4f3e39f04ae006e68a9b282fac823346e978e57f8c21d4f73c272dc18d3e

Observation ce05390a-b9e5-446a-bfc8-f686c8db1f45 · outbound

This paper cites Comparison of objective image quality metrics to expert radiologists’ scoring of diagnostic quality of mr images.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Comparison of objective image quality metrics to expert radiologists’ scoring of diagnostic quality of mr images

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.070876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.336218Z digest=sha256:682e2e00ddfb26cd4677378c604fbd115392eb9249e2ba228a3ddf09fd7a0042

Observation 2fa33385-1715-4ad0-b59b-830163a28222 · outbound

This paper cites Cleaning output of tractography via fiber to bundle coherence, a new open source implementation.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Cleaning output of tractography via fiber to bundle coherence, a new open source implementation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.049480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.342242Z digest=sha256:26fa3a095d3094beb4f4a59c261364adcb6fa599d367589d0f54b108a96a579d

Observation bd837d59-0960-4f4a-baa5-45be346ed380 · outbound

This paper cites Blind/referenceless image spatial quality evaluator.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Blind/referenceless image spatial quality evaluator

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.028047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.348136Z digest=sha256:aeefeca09c31969817940d550383010ea2050bd06e2a00cd92419cf4573d6153

Observation b37f82af-4ba1-4e57-b7d3-a28fe61fe3db · outbound

This paper cites Learning in Implicit Generative Models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Learning in Implicit Generative Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.354140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.354140Z digest=sha256:5575b6f95569c7712e82570b6e29c84a5d056ca026a63579c95bac3a848a045c

Observation 58e875ad-12b3-41f1-acf1-78fe006bfaec · outbound

This paper cites Noisier2noise: Learning to denoise from unpaired noisy data.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noisier2noise: Learning to denoise from unpaired noisy data

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:22.006812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.361799Z digest=sha256:fdf1c487dcc1304a98ed6e25b244a9b752eb05971f74f922847cd0264e000370

Observation 3f72d6d8-1eaa-4e75-bc0d-5d9174b0b7ca · outbound

This paper cites On modeling.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement On modeling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.988672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.370697Z digest=sha256:63283aedba42b4843e5b037f4e155c53f7c7023fb113e8a64e0c3277515ce74e

Observation 72c90f02-a693-461f-af80-115537ed6f40 · outbound

This paper cites A threshold selection method from gray-level histograms.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement A threshold selection method from gray-level histograms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.970994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.377443Z digest=sha256:ddd3640022e813f2665c250ca93722327547adcf3763c3c6f89db2d3de0908a5

Observation 2c7d1346-c8b2-449d-a2f8-3775c05ff649 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Restoring vision in adverse weather conditions with patch-based denoising diffusion models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.949746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.384063Z digest=sha256:dabcf94cf05f3e458e6111bbf8107c60f444f666411d902b31dc5b3b16b9e346

Observation 2a726f5b-bc15-4f20-b7ba-5fe73b89765e · outbound

This paper cites Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.926143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.393358Z digest=sha256:050c2bee5e5910d6fd651bfd348e30075dfbcf2bb7858a46d2eb0371994826e4

Observation 54546a10-632e-4a49-bc43-dd1c9a63e9a1 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Pytorch: An imperative style, high-performance deep learning library

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.404977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.404977Z digest=sha256:c73b86729b1e9254f032d7625a2f45be3113d6457f5c850aab32b180ffc04fee

Observation 416613d1-c7ef-43df-b1c0-d79b8bd37450 · outbound

This paper cites Improving fiber alignment in hardi by combining contextual pde flow with constrained spherical deconvolution.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Improving fiber alignment in hardi by combining contextual pde flow with constrained spherical deconvolution

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.892413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.411123Z digest=sha256:90cdbf085b2dabbee1e5d340db28f894c3a6100fc0b8804eeace39fd647525f2

Observation 770d5dfd-4e62-461f-af43-7f3b0916a021 · outbound

This paper cites Snr-enhanced diffusion mri with structure-preserving low-rank denoising in reproducing kernel hilbert spaces.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Snr-enhanced diffusion mri with structure-preserving low-rank denoising in reproducing kernel hilbert spaces

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.871129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.416590Z digest=sha256:be8538f72454834ebe563d3dc4baa927583ebef541af9653b1a1bc483de69f59

Observation bd57a44b-325c-4c39-a027-33c3522b179c · outbound

This paper cites Stanford hardi surfaces, 2016.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Stanford hardi surfaces, 2016

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.844054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.422793Z digest=sha256:5287ee01c97f286caeec206951e2c2d3e3c1a8236734b06882acbb6c49c6185c

Observation 4d56b56e-2243-4875-b9cd-88e971a0203c · outbound

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

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement U-net: Convolutional networks for biomedical image segmentation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.428602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.428602Z digest=sha256:168b69bd1e24c39a6da2349cbf6669e7476641e94e77a11698291c6f273d6a8b

Observation 3af40696-3766-4911-ab10-39a390d09bc3 · outbound

This paper cites Palette: Image-to-image diffusion models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Palette: Image-to-image diffusion models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.810598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.435072Z digest=sha256:9f3c648fc6c13583b22432a8dbe05d2d861adc4470685a4099d01840576f83d0

Observation 869102bf-03e6-4511-9e7b-942e908a5bd4 · outbound

This paper cites Image super-resolution via iterative refinement.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Image super-resolution via iterative refinement

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.790804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.442761Z digest=sha256:7feb44c628a7182ef92c3ef887921a42b4a8e384f3af7077ebcb57f355c3aa87

Observation 51df00e6-cb67-415a-8a6a-a5f54f8dfe8b · outbound

This paper cites Limits to anatomical accuracy of diffusion tractography using modern approaches.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Limits to anatomical accuracy of diffusion tractography using modern approaches

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.768313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.449205Z digest=sha256:1d81880a09e4cc9579d33da94354ba0b37bbbd65759692f7d8ab679dfc4b7396

Observation d4a5a30d-6ea0-4c81-8997-060022d7c5f0 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Deep unsupervised learning using nonequilibrium thermodynamics

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.456393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.456393Z digest=sha256:b45640c3988219b59c17a9b6607734bcef3060c193e1268a99c41e48b93ea513

Observation 7ac7feb5-12f9-4520-b20f-13bba101a758 · outbound

This paper cites Diffusionblend: Learning 3d image prior through position-aware diffusion score blending for 3d computed tomography reconstruction.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffusionblend: Learning 3d image prior through position-aware diffusion score blending for 3d computed tomography reconstruction

Reference 65

Resolution
verified exact
raw_fallback, observed 2026-08-10T15:59:21.214255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.463552Z digest=sha256:8878d9a84156f0d49d4af3613604ed1b60164071c8d61e9c282167d888637e8d

Observation dc9d8e4a-3a33-4a53-b0ae-891496a4a57c · outbound

This paper cites Denoising Diffusion Implicit Models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising Diffusion Implicit Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.469397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.469397Z digest=sha256:685bb046ea2654e53cae4631e592c37f2e3d996df5e0cf479e9ca64ac2083540

Observation 14c2ae50-315c-4b79-896d-545dd8a88b23 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Generative modeling by estimating gradients of the data distribution

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.477106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.477106Z digest=sha256:af28794f6f87366611af51911d902d218f6ec960ddc01ce52d0e1c811821c0c9

Observation 2858fd14-8afb-4582-aad8-3b6e77eccc8c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Score-Based Generative Modeling through Stochastic Differential Equations

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.483426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.483426Z digest=sha256:a537ffdc31c78a9b8510e612ca06dc7b534d45dac044c8a84d4dbd36f3572fa4

Observation 832ac2f6-9912-430f-94b6-d357320ed111 · outbound

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.490665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.490665Z digest=sha256:21dd5634cb6e2f0c82942b62e5fe955198b3dcfc61c568d0186f159a71d97ee7

Observation 7407017f-bb6d-4313-b7c5-982e2047595c · outbound

This paper cites FastMRI Prostate : A publicly available, biparametric MRI dataset to advance machine learning for prostate cancer imaging, 2023.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement FastMRI Prostate : A publicly available, biparametric MRI dataset to advance machine learning for prostate cancer imaging, 2023

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.712275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.497228Z digest=sha256:0eca30b97f5723deeadc4fdf476b1d7d306a3240a201af40fe3d81cb57c6f3ca

Observation cc38834d-c4c8-4055-923f-8a34cdc73e44 · outbound

This paper cites Robust determination of the fibre orientation distribution in diffusion mri: non-negativity constrained super-resolved spherical deconvolution.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Robust determination of the fibre orientation distribution in diffusion mri: non-negativity constrained super-resolved spherical deconvolution

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.506380Z digest=sha256:6bb7e21f8e0670f19e944de477a36780800d980416dd5f6bb165a3e0199a9c63

Observation 3299d42e-aa8e-4b64-b668-46efc8745084 · outbound

This paper cites Score-based self-supervised mri denoising.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Score-based self-supervised mri denoising

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.666704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.513875Z digest=sha256:2364e7ab5323d477a6588b9afd4a0400275adbc821b68d03f845b9a50ba69f54

Observation 009eb7b5-e62c-4fbc-8347-515065a85a89 · outbound

This paper cites Deep image prior.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Deep image prior

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.643367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.520126Z digest=sha256:d4ba4b147231ce2e7ec8bc02edb5ccaac86403b543988d0b4c8eb63ddec0e061

Observation 53aa3109-8d46-47a5-a6cc-8c162649b8e6 · outbound

This paper cites Denoising of diffusion mri using random matrix theory.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising of diffusion mri using random matrix theory

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.527974Z digest=sha256:0c4f2f2fa23008aacbc8f31b4d8612c2558a03d4ada83dad617b2c30deef6069

Observation 3ba81fef-c50d-4131-8622-4eaf42a4a1a8 · outbound

This paper cites Effects of physiological noise in population analysis of diffusion tensor mri data.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Effects of physiological noise in population analysis of diffusion tensor mri data

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.601427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.534043Z digest=sha256:5d7357aa701470a7bef1cfdd6a82359123024846aa0986c23a9d5afbcd632d13

Observation 5ac850af-3197-48f8-84d1-8546f6ba1344 · outbound

This paper cites Learning fast samplers for diffusion models by differentiating through sample quality.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Learning fast samplers for diffusion models by differentiating through sample quality

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.578988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.540680Z digest=sha256:1b0b6228d81d1f1c632037b40d6f27e368c6027a16f670adbb9acb2372b55a5b

Observation 3f80d5a9-3f07-48b0-ba94-2159122884e1 · outbound

This paper cites Q-space trajectory imaging for multidimensional diffusion mri of the human brain.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Q-space trajectory imaging for multidimensional diffusion mri of the human brain

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.558988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.546332Z digest=sha256:47fa149ba100f3181aebc7ee6b65f106b2eb3fdcaf0c37f356fb437adc9ab407

Observation 5d9e1ac7-499f-4fa6-9582-2807f68da9bb · outbound

This paper cites No-reference image quality metrics for structural mri.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement No-reference image quality metrics for structural mri

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.538832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.554660Z digest=sha256:7fe0006fa5266bd96a6db8f15a49b3440c8684e853084e594bfc3f3668e70d31

Observation 66253477-5ac9-479f-b8fb-3917f966d1f7 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffir: Efficient diffusion model for image restoration

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.518725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.562102Z digest=sha256:033435e57f84197a5ba298586f78238797b6faafb74ccee81da3edbb5afe3811

Observation be1d139d-187d-4ec3-a5de-d4428044609b · outbound

This paper cites DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.568381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.568381Z digest=sha256:a0ec64b0ed6fdb6e58d59e512d9db3f1bf284c78310369015fe52ccf925820dd

Observation 52ad175f-d71a-4c8a-aef5-05149837f087 · outbound

This paper cites Noise2same: Optimizing a self-supervised bound for image denoising.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2same: Optimizing a self-supervised bound for image denoising

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.497946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.575377Z digest=sha256:2e1b44252950e577932a9ecb46e485991f24c3b89752cdc324ea4548e1f7371c

Observation 05543df1-d202-4b3a-8f7b-e0cc68e52ab1 · outbound

This paper cites Noisy-as-clean: Learning self-supervised denoising from corrupted image.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noisy-as-clean: Learning self-supervised denoising from corrupted image

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.476975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.582494Z digest=sha256:0bccbdb7003fe8ca3bdc082703c272b99a40c583972f19703b52a9c866a53980

Observation 5ebd1102-01fa-4f5d-9ead-c36baab24be9 · outbound

This paper cites Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.454749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.592071Z digest=sha256:555102ae2fd8f90af5b321d89102d8b383aebfabcce19a509d9ab6e16b0e548c

Observation 21f2aad1-2269-49ce-b08c-82168b642018 · outbound

This paper cites Denoising diffusion bridge models.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising diffusion bridge models

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.430453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:59:20.600379Z digest=sha256:fb6569a248b3a9922526ef57a4abc318384979fb22af14936d2b4efa8acf9a6d

Observation f517dfa5-f131-4c86-9de3-4eef94d9bba9 · outbound

This paper cites write newline.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement write newline

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.607021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.607021Z digest=sha256:6fbf507801cce83d53ece31837c1e8b8232b85cdfc127da06f5b5924d54e69eb

Observation 403edb57-4ae0-40b6-a786-2ad28dcb3a1f · outbound

This paper cites @esa (Ref.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement @esa (Ref

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.616634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.616634Z digest=sha256:8f9225b581ebf14a18e61a1812a0599c409cf27d81efa15e2e00c243fa91a486

Observation 1d95602e-4dff-4c39-ac28-85850b768a5a · outbound

This paper cites an unresolved cited work.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.623431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.623431Z digest=sha256:a2369247b37d6c9967550686daf899340cfabd61c2847e3aa949a0907d4d4475

Observation ddaabc7a-5e51-4df1-bae6-97d4c7af9d74 · outbound

This paper cites ,# (7),01444 '9=82<.342C 2! !22222222222222222222222222222222222222222222222222 Qj.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement ,# (7),01444 '9=82<.342C 2! !22222222222222222222222222222222222222222222222222 Qj

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.628855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.628855Z digest=sha256:db2b970e327879ba8795f2012ee3ef3baab3b7a8078820d2e3f255ee3d810c0b

Pith citing papers

No inbound Pith citation observations are available.