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Paper Citation Record · LEDGER

Diffusion Bridge Models for 3D Medical Image Translation

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2504.15267.

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

pith.paper-citation-record.v1
2504.15267 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:20.716409Z

measured 34 of 34 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

34 of 34 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b446e790-5262-449d-8167-88fde0476318 · outbound

This paper cites Machine learning for medical image translation: A systematic review,.

Diffusion Bridge Models for 3D Medical Image Translation Machine learning for medical image translation: A systematic review,

Reference 1

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Observation d8e35e05-e2cc-4ef5-825f-4c6331325992 · outbound

This paper cites Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review,.

Diffusion Bridge Models for 3D Medical Image Translation Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review,

Reference 2

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Observation 6bca9c1d-b5dc-47e2-933e-f37670b8b617 · outbound

This paper cites T1w MRI to T2W MRI image synthesis using SSIM-CycleGAN,.

Diffusion Bridge Models for 3D Medical Image Translation T1w MRI to T2W MRI image synthesis using SSIM-CycleGAN,

Reference 3

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Observation e3088fed-da07-4936-9343-c9936f31a268 · outbound

This paper cites PET image reconstruction using deep image prior,.

Diffusion Bridge Models for 3D Medical Image Translation PET image reconstruction using deep image prior,

Reference 4

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Observation dbaaeb7d-39c8-43c4-9741-76610d273a2f · outbound

This paper cites MCMT-GAN: multi-task coherent modality transferable GAN for 3D brain image synthesis,.

Diffusion Bridge Models for 3D Medical Image Translation MCMT-GAN: multi-task coherent modality transferable GAN for 3D brain image synthesis,

Reference 5

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Observation ab9d5324-80ac-4b55-b1df-36bccee0a0c9 · outbound

This paper cites Multiscale Metamorphic VAE for 3D Brain MRI Synthesis.

Diffusion Bridge Models for 3D Medical Image Translation Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Reference 6

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Observation 5aee4fba-b780-4ddd-a4f0-6caaf9be660c · outbound

This paper cites Dual-cycle constrained bijective V AE-GAN for tagged- to-cine magnetic resonance image synthesis,.

Diffusion Bridge Models for 3D Medical Image Translation Dual-cycle constrained bijective V AE-GAN for tagged- to-cine magnetic resonance image synthesis,

Reference 7

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Observation 07479f06-ad2c-4209-8885-018a6826cc8b · outbound

This paper cites Generating diffusion MRI scalar maps from T1 weighted images using generative adver- sarial networks,.

Diffusion Bridge Models for 3D Medical Image Translation Generating diffusion MRI scalar maps from T1 weighted images using generative adver- sarial networks,

Reference 8

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Observation 11490807-fbf6-42fd-9bfa-34e7356dbaea · outbound

This paper cites Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation.

Diffusion Bridge Models for 3D Medical Image Translation Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 9

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Observation f351416d-92e6-4408-bd2a-c8689713b188 · outbound

This paper cites A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image syn- thesis,.

Diffusion Bridge Models for 3D Medical Image Translation A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image syn- thesis,

Reference 10

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Observation d8cb027a-868c-45b4-b5d9-6a81617356af · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

Diffusion Bridge Models for 3D Medical Image Translation I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 11

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Observation eee2d0aa-c610-4ac1-af93-6c70745e4e56 · outbound

This paper cites Denoising Diffusion Bridge Models.

Diffusion Bridge Models for 3D Medical Image Translation Denoising Diffusion Bridge Models

Reference 12

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Observation bb108515-1133-4f60-aea0-14b73bd47df8 · outbound

This paper cites Exploring the Design Space of Diffusion Bridge Models.

Diffusion Bridge Models for 3D Medical Image Translation Exploring the Design Space of Diffusion Bridge Models

Reference 13

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Observation efc8141f-52eb-4b59-beb6-5cd8d4672e65 · outbound

This paper cites A practical Alzheimer’s disease classifier via brain imaging- based deep learning on 85,721 samples.

Diffusion Bridge Models for 3D Medical Image Translation A practical Alzheimer’s disease classifier via brain imaging- based deep learning on 85,721 samples

Reference 14

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Observation 03d03a00-c912-454f-8afb-320df75d7222 · outbound

This paper cites Brain age analysis and dementia classification using convolutional neural networks trained on diffusion MRI: Tests in Indian and North American Cohorts,.

Diffusion Bridge Models for 3D Medical Image Translation Brain age analysis and dementia classification using convolutional neural networks trained on diffusion MRI: Tests in Indian and North American Cohorts,

Reference 15

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Observation 0490dc44-d057-4420-a0a3-329745fc3c45 · outbound

This paper cites Efficiently training vision transformers on structural MRI scans for Alzheimer’s disease detection,.

Diffusion Bridge Models for 3D Medical Image Translation Efficiently training vision transformers on structural MRI scans for Alzheimer’s disease detection,

Reference 16

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Observation 0f0fb18e-37f8-4ba2-9598-dfa0af0ebb53 · outbound

This paper cites NODDI and tensor-based microstructural indices as predictors of functional connectivity,.

Diffusion Bridge Models for 3D Medical Image Translation NODDI and tensor-based microstructural indices as predictors of functional connectivity,

Reference 17

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Observation 5351951c-0dc7-4e04-ae94-99b01bf1e4c1 · outbound

This paper cites Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure,.

Diffusion Bridge Models for 3D Medical Image Translation Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure,

Reference 18

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Observation 3816b4b2-41a1-48d4-b161-a7ebb06f4c16 · outbound

This paper cites Understanding disease progression and improving Alzheimer’s disease clinical trials: Recent highlights from the Alzheimer’s disease neuroimaging initiative,.

Diffusion Bridge Models for 3D Medical Image Translation Understanding disease progression and improving Alzheimer’s disease clinical trials: Recent highlights from the Alzheimer’s disease neuroimaging initiative,

Reference 19

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Source-reported events for the cited work

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Observation 073d3adc-dc39-4af3-bb4e-bc0135b78120 · outbound

This paper cites Predicting dementia severity by merging anatomical and diffusion MRI with deep 3D convolutional neural networks,.

Diffusion Bridge Models for 3D Medical Image Translation Predicting dementia severity by merging anatomical and diffusion MRI with deep 3D convolutional neural networks,

Reference 20

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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.

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Observation ceb79a6a-eb62-409e-943f-5e78be05b8aa · outbound

This paper cites 3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI.

Diffusion Bridge Models for 3D Medical Image Translation 3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI

Reference 21

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Observation 4e34cb97-89bf-44b8-9fec-3d0b7e59ba3d · outbound

This paper cites Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the enigma–dti working group,.

Diffusion Bridge Models for 3D Medical Image Translation Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the enigma–dti working group,

Reference 22

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Observation b9cfdd12-06b2-405c-aeb4-d53c5eddf071 · outbound

This paper cites Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches,.

Diffusion Bridge Models for 3D Medical Image Translation Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches,

Reference 23

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Source-reported events for the cited work

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Observation 697e048d-71a6-42f7-aa6e-fe7161c167de · outbound

This paper cites Deep normative tractometry for iden- tifying joint white matter macro-and micro-structural abnormalities in Alzheimer’s disease,.

Diffusion Bridge Models for 3D Medical Image Translation Deep normative tractometry for iden- tifying joint white matter macro-and micro-structural abnormalities in Alzheimer’s disease,

Reference 24

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Observation db903f5a-81b9-44b5-852d-d981c7ae73d8 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Diffusion Bridge Models for 3D Medical Image Translation Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 25

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Observation 30b5dc02-0a27-4c16-bb0f-d07cd2682118 · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Bridge Models for 3D Medical Image Translation Denoising diffusion probabilistic models,

Reference 26

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Observation e96276dd-c48b-4bd0-bbfa-b822295d5573 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Bridge Models for 3D Medical Image Translation Denoising Diffusion Implicit Models

Reference 27

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Observation 7c83d69a-025f-40c3-a79c-a51d061f4d6c · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

Diffusion Bridge Models for 3D Medical Image Translation Diffusion models beat GANs on image synthesis,

Reference 28

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Source-reported events for the cited work

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Observation 43a2c484-c077-4fb0-99f6-bd9e3594b66e · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Diffusion Bridge Models for 3D Medical Image Translation A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 29

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Observation 966ad429-f060-4a7a-875c-93e26ced887e · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems,.

Diffusion Bridge Models for 3D Medical Image Translation Pseudoinverse-guided diffusion models for inverse problems,

Reference 30

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Observation e1330926-baa5-4d75-8731-925ca9ec21c8 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Diffusion Bridge Models for 3D Medical Image Translation Multiscale structural similarity for image quality assessment,

Reference 31

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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.

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Observation aaf91e58-6a0d-404a-b44a-0eafea96cc90 · outbound

This paper cites A kernel two-sample test,.

Diffusion Bridge Models for 3D Medical Image Translation A kernel two-sample test,

Reference 32

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Source-reported events for the cited work

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Observation 2865d277-a48f-4407-b532-d33c69de1660 · outbound

This paper cites Ultimatesynth: MRI physics for pan-contrast ai,.

Diffusion Bridge Models for 3D Medical Image Translation Ultimatesynth: MRI physics for pan-contrast ai,

Reference 33

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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.

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Observation 33a7bdb6-ee22-4926-9f9c-5d27f8175809 · outbound

This paper cites Unsupervised MR har- monization by learning disentangled representations using information bottleneck theory,.

Diffusion Bridge Models for 3D Medical Image Translation Unsupervised MR har- monization by learning disentangled representations using information bottleneck theory,

Reference 34

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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.

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Pith citing papers

No inbound Pith citation observations are available.