Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:59:20.628855Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:59:20.628855Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e3f4ce1d-1374-4ba7-be9e-b169385b8fd8 · outbound
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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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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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Cold diffusion: Inverting arbitrary image transforms without noise
Reference 3
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr diffusion tensor spectroscopy and imaging
Reference 4
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2self: Blind denoising by self-supervision
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr diffusion tractography
Reference 6
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Restore: robust estimation of tensors by outlier rejection
Reference 7
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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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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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Reference 10
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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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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement WaveGrad: Estimating Gradients for Waveform Generation
Reference 12
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Mr image denoising and super-resolution using regularized reverse diffusion
Reference 13
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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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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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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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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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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffusion models in vision: A survey
Reference 18
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Measuring robustness in deep learning based compressive sensing
Reference 19
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Vortex: Physics-driven data augmentations for consistency training for robust accelerated mri reconstruction
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Reference 21
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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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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Patch2self: Denoising diffusion mri with self-supervised learning
Reference 23
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Patch2self: Denoising diffusion mri with self-supervised learning
Reference 24
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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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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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Reference 28
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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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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Towards quantitative connectivity analysis: reducing tractography biases
Reference 30
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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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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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Reference 34
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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
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Reference 36
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Reference 37
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2score: tweedie’s approach to self-supervised image denoising without clean images
Reference 38
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Reference 40
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Looking into the functional architecture of the brain with diffusion mri
Reference 41
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Reference 42
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noise2Noise: Learning Image Restoration without Clean Data
Reference 43
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffusion weighted image denoising using overcomplete local pca
Reference 44
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Reference 45
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement The parkinson progression marker initiative (ppmi)
Reference 46
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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
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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
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Reference 49
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Learning in Implicit Generative Models
Reference 50
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Noisier2noise: Learning to denoise from unpaired noisy data
Reference 51
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement On modeling
Reference 52
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement A threshold selection method from gray-level histograms
Reference 53
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Reference 54
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising
Reference 55
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Pytorch: An imperative style, high-performance deep learning library
Reference 56
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Observation 416613d1-c7ef-43df-b1c0-d79b8bd37450 · outbound
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
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Observation 770d5dfd-4e62-461f-af43-7f3b0916a021 · outbound
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
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Stanford hardi surfaces, 2016
Reference 59
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement U-net: Convolutional networks for biomedical image segmentation
Reference 60
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Palette: Image-to-image diffusion models
Reference 61
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Reference 62
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Limits to anatomical accuracy of diffusion tractography using modern approaches
Reference 63
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Deep unsupervised learning using nonequilibrium thermodynamics
Reference 64
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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
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising Diffusion Implicit Models
Reference 66
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Generative modeling by estimating gradients of the data distribution
Reference 67
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Observation 2858fd14-8afb-4582-aad8-3b6e77eccc8c · outbound
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Score-Based Generative Modeling through Stochastic Differential Equations
Reference 68
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Observation 832ac2f6-9912-430f-94b6-d357320ed111 · outbound
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Reference 69
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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
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Observation cc38834d-c4c8-4055-923f-8a34cdc73e44 · outbound
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
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Score-based self-supervised mri denoising
Reference 72
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Observation 009eb7b5-e62c-4fbc-8347-515065a85a89 · outbound
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Deep image prior
Reference 73
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Observation 53aa3109-8d46-47a5-a6cc-8c162649b8e6 · outbound
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Reference 74
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Observation 3ba81fef-c50d-4131-8622-4eaf42a4a1a8 · outbound
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Effects of physiological noise in population analysis of diffusion tensor mri data
Reference 75
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Learning fast samplers for diffusion models by differentiating through sample quality
Reference 76
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Q-space trajectory imaging for multidimensional diffusion mri of the human brain
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement No-reference image quality metrics for structural mri
Reference 78
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Diffir: Efficient diffusion model for image restoration
Reference 79
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
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Reference 81
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Reference 82
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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
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Denoising diffusion bridge models
Reference 84
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Reference 85
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Reference 86
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Unresolved cited work
Reference 87
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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement ,# (7),01444 '9=82<.342C 2! !22222222222222222222222222222222222222222222222222 Qj
Reference 88
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