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Paper Citation Record · LEDGER

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors

As of 19 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2608.02937.

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

pith.paper-citation-record.v1
2608.02937 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:58:57.691671Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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

100 of 300 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f6cfd65-2c04-42d1-9ffa-787b1d16dd2b · outbound

This paper cites Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry

Reference 1

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Observation bfceff91-0d6c-4057-b48e-a4c15e78629b · outbound

This paper cites Advances in Neural Information Processing Systems , title =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Advances in Neural Information Processing Systems , title =

Reference 2

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Observation 5d68bd61-af7a-4457-8b38-633b3d8d7fc6 · outbound

This paper cites Proximal Langevin sampling with inexact proximal mapping , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Proximal Langevin sampling with inexact proximal mapping , volume =

Reference 3

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Observation 1724177f-edf0-4d2f-9a74-08c6e099c195 · outbound

This paper cites , date-added =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors , date-added =

Reference 4

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Observation 9a130cf4-c27b-403f-856e-9b409fc64882 · outbound

This paper cites , booktitle =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors , booktitle =

Reference 5

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source=arxiv_source observed=2026-08-15T14:58:57.114044Z digest=sha256:81aa85e259d5b8b6c5422feba53f7328cf845cf933db1f797b917716473f6ea3

Observation 28b3847c-cdaa-4eee-b905-7efc51050eb3 · outbound

This paper cites and Graves, Austin R.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Graves, Austin R

Reference 6

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Observation 47c27eed-4164-4c53-911b-c87a5493394f · outbound

This paper cites Deep learning enables cross-modality super-resolution in fluorescence microscopy , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Deep learning enables cross-modality super-resolution in fluorescence microscopy , url =

Reference 7

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Observation b6c63673-153b-4ac2-8c33-a14833d43870 · outbound

This paper cites , booktitle =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors , booktitle =

Reference 8

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source=arxiv_source observed=2026-08-15T14:58:57.129431Z digest=sha256:737af2ed5478e1ddd9dd82e9463946b304ba9bad6ebde49c186116c5182b352f

Observation 50e0fa8b-fc9a-4b34-9cb5-74c2b7984cfe · outbound

This paper cites DualGAN: Unsupervised Dual Learning for Image-To-Image Translation , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors DualGAN: Unsupervised Dual Learning for Image-To-Image Translation , year =

Reference 9

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Observation 8d81efe7-276f-490f-b2c1-45aa3f476058 · outbound

This paper cites Image-to-Image Translation: Methods and Applications , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Image-to-Image Translation: Methods and Applications , volume =

Reference 10

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Observation 8302b222-ca6f-43c5-b6ed-676c49bc6440 · outbound

This paper cites GET: Group Event Transformer for Event-Based Vision , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors GET: Group Event Transformer for Event-Based Vision , year =

Reference 11

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Observation ab89c868-93e1-4cdc-9162-68e919666ae8 · outbound

This paper cites StyTr2: Image Style Transfer With Transformers , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors StyTr2: Image Style Transfer With Transformers , year =

Reference 12

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Observation d2c7ca09-5505-4aa2-bfd9-8a2f9cf8a575 · outbound

This paper cites Attention-Aware Multi-Stroke Style Transfer , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Attention-Aware Multi-Stroke Style Transfer , year =

Reference 13

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Observation c5ecd571-a2ac-4cc4-9196-c90c33008516 · outbound

This paper cites Show, attend, and translate: Unsupervised image translation with self-regularization and attention , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Show, attend, and translate: Unsupervised image translation with self-regularization and attention , volume =

Reference 14

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Observation ed490cc6-b50a-4440-ba1d-e5be9df94a8e · outbound

This paper cites Synthesizing PET images from high-field and ultra-high-field MR images using joint diffusion attention model , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Synthesizing PET images from high-field and ultra-high-field MR images using joint diffusion attention model , volume =

Reference 15

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Observation ededfec8-c01f-4103-883b-c691cc5535b2 · outbound

This paper cites SARU: A self-attention ResUNet to generate synthetic CT images for MR-only BNCT treatment planning , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors SARU: A self-attention ResUNet to generate synthetic CT images for MR-only BNCT treatment planning , volume =

Reference 16

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Observation 52d9bb98-c60b-4705-890d-68bb53acf404 · outbound

This paper cites Structural attention: Rethinking transformer for unpaired medical image synthesis , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Structural attention: Rethinking transformer for unpaired medical image synthesis , year =

Reference 17

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Observation eeb5a1b5-b4fb-4b41-ae48-5cba9574460d · outbound

This paper cites ResViT: Residual vision transformers for multimodal medical image synthesis , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors ResViT: Residual vision transformers for multimodal medical image synthesis , volume =

Reference 18

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Observation adaed08e-8b4d-4ae3-bf7e-f48cc5e3e9e8 · outbound

This paper cites CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN , volume =

Reference 19

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Observation 94ac204a-ce9c-4ee1-b027-140a3df41c4b · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Attention U-Net: Learning Where to Look for the Pancreas , url =

Reference 20

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Observation d9ac9e0b-f725-4296-989e-941d4de9fd22 · outbound

This paper cites Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network , year =

Reference 21

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Observation 1ff900a9-3fe9-4ecf-9a49-a03ee5ee30ca · outbound

This paper cites Deep learning based synthesis of MRI, CT and PET: Review and analysis , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Deep learning based synthesis of MRI, CT and PET: Review and analysis , volume =

Reference 22

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source=arxiv_source observed=2026-08-15T14:58:57.195057Z digest=sha256:0fe391d1b0a49bcb57bdcde424bf4f34d105730b0d2ab22d61afbb47db770cb2

Observation 4cf8b3b1-66ea-49b1-a2aa-f2bff421e0e0 · outbound

This paper cites Comparative study of algorithms for synthetic CT generation from MRI: consequences for MRI-guided radiation planning in the pelvic region , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Comparative study of algorithms for synthetic CT generation from MRI: consequences for MRI-guided radiation planning in the pelvic region , volume =

Reference 23

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source=arxiv_source observed=2026-08-15T14:58:57.199866Z digest=sha256:50e06db92914fc74af44e4d24d14e8dfa93ba6a1f69c32926656525dbb3ac4f6

Observation 5437406f-4b52-4601-964b-840241a975d4 · outbound

This paper cites and Ecker, Alexander S.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Ecker, Alexander S

Reference 24

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Observation dda4118a-e6bf-4155-85cc-6d4d79ed3f9a · outbound

This paper cites MR-based synthetic CT generation using a deep convolutional neural network method , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors MR-based synthetic CT generation using a deep convolutional neural network method , volume =

Reference 25

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Observation 89596a69-6a08-497a-b945-0f4e9e15f54a · outbound

This paper cites MedGAN: Medical image translation using GANs , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors MedGAN: Medical image translation using GANs , volume =

Reference 26

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Observation 86398e43-ace6-4d9d-b011-ad65d02d2a3d · outbound

This paper cites Adversarial image synthesis for unpaired multi-modal cardiac data , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Adversarial image synthesis for unpaired multi-modal cardiac data , year =

Reference 27

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Observation b33d4cdf-314e-4091-924e-7834cbc450ce · outbound

This paper cites Medical image synthesis with deep convolutional adversarial networks , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Medical image synthesis with deep convolutional adversarial networks , volume =

Reference 28

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Observation 8dee0da9-1de5-4c83-962a-7db95798dcf7 · outbound

This paper cites MRI cross-modality image-to-image translation , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors MRI cross-modality image-to-image translation , volume =

Reference 29

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Observation 366b8327-2054-42ee-846f-d8ff20a40fb1 · outbound

This paper cites Deep MR to CT synthesis using unpaired data , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Deep MR to CT synthesis using unpaired data , year =

Reference 30

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Observation 07d1cf6c-8570-4aed-9da7-6c7c0053264d · outbound

This paper cites Multimodal MR synthesis via modality-invariant latent representation , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Multimodal MR synthesis via modality-invariant latent representation , volume =

Reference 31

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Observation f3f651b3-0a53-42a6-b764-17ba744a3c29 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Perceptual losses for real-time style transfer and super-resolution , year =

Reference 32

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Observation a314d8a5-5fe8-42ea-bfe2-44709f479992 · outbound

This paper cites Image-to-image translation with conditional adversarial networks , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Image-to-image translation with conditional adversarial networks , year =

Reference 33

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Observation 0120b23e-2d7f-498c-85e5-57061d426d3b · outbound

This paper cites arXiv preprint arXiv:2602.16664 , title =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors arXiv preprint arXiv:2602.16664 , title =

Reference 34

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Observation 46dd9e70-06ed-4cd2-a88f-7144084f711f · outbound

This paper cites Unpaired image-to-image translation via neural schr.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Unpaired image-to-image translation via neural schr

Reference 35

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Observation c6e972c4-abd8-4ca9-a115-3b023a81c559 · outbound

This paper cites Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations , year =

Reference 36

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Observation 9bfb6ba4-b086-4229-8ea4-b2c91ff62b2c · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors An edit friendly ddpm noise space: Inversion and manipulations , year =

Reference 37

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This paper cites 2022 , bdsk-url-1 =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors 2022 , bdsk-url-1 =

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Observation 6d44d05e-3b40-46d4-a353-6e26109bd7cb · outbound

This paper cites Cyclenet: Rethinking cycle consistency in text-guided diffusion for image manipulation , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Cyclenet: Rethinking cycle consistency in text-guided diffusion for image manipulation , volume =

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Observation 104366de-8512-48ae-a1aa-11b861e125d3 · outbound

This paper cites DisDiff: Disentanglement Diffusion Network for MR Imaging Translation , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors DisDiff: Disentanglement Diffusion Network for MR Imaging Translation , year =

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Observation 05915268-a6af-47f8-8829-5c66aa1e2586 · outbound

This paper cites IEEE Transactions on Medical Imaging , number =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors IEEE Transactions on Medical Imaging , number =

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Observation 26d5428d-df68-4f22-9107-75a2e6115fa2 · outbound

This paper cites Consistency diffusion bridge models , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Consistency diffusion bridge models , volume =

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This paper cites Diffusion bridge implicit models , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Diffusion bridge implicit models , volume =

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Observation c0ef0b3f-1807-4ce5-b851-4738ec841648 · outbound

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ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Dual Diffusion Implicit Bridges for Image-to-Image Translation , year =

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Observation 3a2a31f9-d408-4ce2-b7ac-ad1b0315266d · outbound

This paper cites Optimization-based approach for joint x-ray fluorescence and transmission tomographic inversion , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Optimization-based approach for joint x-ray fluorescence and transmission tomographic inversion , volume =

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Observation 01d360d0-196e-47b3-95cc-9a109fbca38f · outbound

This paper cites Denoising Diffusion Bridge Models , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Denoising Diffusion Bridge Models , url =

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Observation 1aba1b83-7076-46d5-9bed-4519991be45e · outbound

This paper cites How Uncertainty Makes Science Advance , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors How Uncertainty Makes Science Advance , year =

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Observation 459e7e8f-7c83-4468-8973-a1b4524127e8 · outbound

This paper cites The need for uncertainty quantification in machine-assisted medical decision making , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors The need for uncertainty quantification in machine-assisted medical decision making , volume =

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Observation 26755839-24f9-4e0c-8379-8d34bd1e6a65 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Building Normalizing Flows with Stochastic Interpolants , url =

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Observation 6c78747a-0ca0-4857-8a63-7c59e600a870 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow , year =

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Observation 1370e5bc-8203-4a33-bb4f-769cf87e44aa · outbound

This paper cites an unresolved cited work.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Unresolved cited work

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Observation 7250f59c-a0dd-419e-8e60-33b8988eb4d1 · outbound

This paper cites Stochastic interpolants: A unifying framework for flows and diffusions , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Stochastic interpolants: A unifying framework for flows and diffusions , volume =

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Observation 295c495d-826a-4f07-97ea-129dbb08a736 · outbound

This paper cites Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference , volume =

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Observation 52a3920a-d20c-4e28-8900-0aed0ad2ee3c · outbound

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ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction , volume =

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Observation d8014ba8-a25e-42ee-9035-de5a5b917c55 · outbound

This paper cites Principled probabilistic imaging using diffusion models as plug-and-play priors , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Principled probabilistic imaging using diffusion models as plug-and-play priors , volume =

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Observation 77a35a6e-ca0d-4d0b-9ce5-eacd7df17839 · outbound

This paper cites and Bouman, Katherine L.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Bouman, Katherine L

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Observation 42a3eea4-8367-44ff-b1a5-8470ae584f6e · outbound

This paper cites Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT , volume =

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Observation 48521e1e-2937-4853-9b63-584e4c863f9a · outbound

This paper cites Multicontrast MRI reconstruction with structure-guided total variation , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Multicontrast MRI reconstruction with structure-guided total variation , volume =

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Observation 6d413e4c-3841-43b2-80ea-741d5fafe08c · outbound

This paper cites PET-MRI joint reconstruction with common edge weighted total variation regularization , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors PET-MRI joint reconstruction with common edge weighted total variation regularization , volume =

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Observation 1e57a393-d5d8-4201-9db8-36f73b766de4 · outbound

This paper cites Joint reconstruction of the initial pressure and speed of sound distributions from combined photoacoustic and ultrasound tomography measurements , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Joint reconstruction of the initial pressure and speed of sound distributions from combined photoacoustic and ultrasound tomography measurements , volume =

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Observation 1958c066-16b4-4fb0-8b69-6ff49aeabe92 · outbound

This paper cites Coupled dictionary learning for multi-contrast MRI reconstruction , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Coupled dictionary learning for multi-contrast MRI reconstruction , volume =

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Observation 81f190cb-4411-41d7-9314-e9d114c5065b · outbound

This paper cites (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods , volume =

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Observation f7032f6d-f392-406a-979f-b9d38cda15f2 · outbound

This paper cites Deep dual-domain united guiding learning with global--local transformer-convolution U-Net for LDCT reconstruction , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Deep dual-domain united guiding learning with global--local transformer-convolution U-Net for LDCT reconstruction , volume =

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Observation 5a418052-3798-410d-b5f7-e52d8ca1f786 · outbound

This paper cites Spatial-spectral cube matching frame for spectral CT reconstruction , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Spatial-spectral cube matching frame for spectral CT reconstruction , volume =

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Observation 5178ea64-a3d4-49a8-80ee-26537a0865ec · outbound

This paper cites Dynamic MRI reconstruction from undersampled data with an anatomical prescan , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Dynamic MRI reconstruction from undersampled data with an anatomical prescan , volume =

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Observation 7de5a135-d774-499d-a744-19e909eb2eaf · outbound

This paper cites Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications , volume =

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Observation 9ddbf19e-93f8-4df6-ae46-35bee3059b8b · outbound

This paper cites Faster PET reconstruction with non-smooth priors by randomization and preconditioning , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Faster PET reconstruction with non-smooth priors by randomization and preconditioning , volume =

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Observation 99ced5e0-6d72-475e-a60e-aaaa9ac62b76 · outbound

This paper cites Multi-modality imaging with structure-promoting regularizers , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Multi-modality imaging with structure-promoting regularizers , year =

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Observation c0b579f6-66fa-4bf6-a881-042d32711bb2 · outbound

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ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems , url =

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Observation 2b64452b-4211-4a69-8a37-af3f45eba9e9 · outbound

This paper cites Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models , url =

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Observation 7b75bf78-d6ee-4518-bb40-b977c3ecdafe · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models , year =

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Observation f78d4beb-d77e-47f7-9368-ed76b75dba58 · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency , url =

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Observation 1ba7c86e-8cd5-4d0f-9160-36f5914be078 · outbound

This paper cites Denoising Diffusion Models for Plug-and-Play Image Restoration , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Denoising Diffusion Models for Plug-and-Play Image Restoration , year =

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Observation ec348bdc-805b-435d-833d-4993f948383c · outbound

This paper cites Transactions on Machine Learning Research , title =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Transactions on Machine Learning Research , title =

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Observation 394d9cba-6f45-410f-8107-e319afdaa8f4 · outbound

This paper cites Pseudoinverse-Guided Diffusion Models for Inverse Problems , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Pseudoinverse-Guided Diffusion Models for Inverse Problems , url =

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Observation 0f0790c6-03e1-46a6-8ffa-fe2c2da78c25 · outbound

This paper cites The Eleventh International Conference on Learning Representations , title =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors The Eleventh International Conference on Learning Representations , title =

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Observation 3982575b-c0e0-447a-8584-d4900b9bd7c0 · outbound

This paper cites Incorporation of anatomical MR data for improved functional imaging with PET , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Incorporation of anatomical MR data for improved functional imaging with PET , year =

Reference 77

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Observation 6eac96d7-44cf-4d35-b7c7-d24d370fc8f0 · outbound

This paper cites Joint reconstruction of PET-MRI by exploiting structural similarity , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Joint reconstruction of PET-MRI by exploiting structural similarity , volume =

Reference 78

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Observation 88abc2a0-81dd-43bd-adf5-9fbb9a801f39 · outbound

This paper cites and Stacy, Mitchel R.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Stacy, Mitchel R

Reference 79

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Observation e0456c34-dbdf-44c9-9c23-bd48ee37b04c · outbound

This paper cites Edge-oriented dual-dictionary guided enrichment (edge) for mri-ct image reconstruction , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Edge-oriented dual-dictionary guided enrichment (edge) for mri-ct image reconstruction , volume =

Reference 80

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Observation a51a906a-0daf-4de2-a23c-e4fed07cf829 · outbound

This paper cites and Markiewicz, Pawel and Liljeroth, Maria and Barnes, Anna and Kolehmainen, Ville and Duncan, John S.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Markiewicz, Pawel and Liljeroth, Maria and Barnes, Anna and Kolehmainen, Ville and Duncan, John S

Reference 81

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Observation 8e062b4a-88ae-4895-9a96-8704138a4f77 · outbound

This paper cites and Van Laere, Koen and Nuyts, Johan , date-added =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors and Van Laere, Koen and Nuyts, Johan , date-added =

Reference 82

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Observation 6b5634a5-2a62-466f-9ae4-094823184f70 · outbound

This paper cites 2019 , bdsk-url-1 =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors 2019 , bdsk-url-1 =

Reference 83

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Observation a4f4c66b-2638-49ae-a1cb-9364527eb97e · outbound

This paper cites Estimation of Non-Normalized Statistical Models by Score Matching , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Estimation of Non-Normalized Statistical Models by Score Matching , volume =

Reference 84

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Observation e7680a9d-2af0-4b91-8510-60402f9ea719 · outbound

This paper cites What regularized auto-encoders learn from the data-generating distribution , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors What regularized auto-encoders learn from the data-generating distribution , volume =

Reference 85

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ScoreField: Neural Inverse Scattering with Score-Based Generative Priors , date-added =

Reference 86

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Observation e0f9e6ed-2081-4e3d-8282-8acd1f6d862d · outbound

This paper cites Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo , volume =

Reference 87

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Observation a7f4c6c8-c20d-44b6-8ce1-0bcb6b1683c4 · outbound

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ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau , volume =

Reference 88

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Observation 253470be-4c8c-4ef3-924e-8417764c26ef · outbound

This paper cites Proximal Markov chain Monte Carlo algorithms , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Proximal Markov chain Monte Carlo algorithms , volume =

Reference 89

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Observation b1c9d836-8e11-4196-963b-cf21390edb2c · outbound

This paper cites Estimating High Order Gradients of the Data Distribution by Denoising , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Estimating High Order Gradients of the Data Distribution by Denoising , year =

Reference 90

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Observation 27a82704-fb1d-42ca-b7d1-c1f5a7cb915d · outbound

This paper cites an unresolved cited work.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Unresolved cited work

Reference 91

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Observation c2d37387-5e9c-41f1-8264-995b53040c46 · outbound

This paper cites Learning Maximally Monotone Operators for Image Recovery , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Learning Maximally Monotone Operators for Image Recovery , volume =

Reference 92

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Observation dd826ed7-bd50-499c-94df-97431cb782a6 · outbound

This paper cites Regularization by Denoising via Fixed-Point Projection (RED-PRO) , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Regularization by Denoising via Fixed-Point Projection (RED-PRO) , volume =

Reference 93

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Observation 1807cc4e-f9d8-42e8-a506-425344914315 · outbound

This paper cites Optimal transport: old and new , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Optimal transport: old and new , volume =

Reference 94

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Observation eace6019-5f04-4797-85aa-d298ab7e90de · outbound

This paper cites An elementary proof of the triangle inequality for the Wasserstein metric , volume =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors An elementary proof of the triangle inequality for the Wasserstein metric , volume =

Reference 95

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Observation e7ce7e6d-d957-43bd-a6ea-d15fe5ebf0de · outbound

This paper cites Otto calculus , url =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Otto calculus , url =

Reference 96

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verified exact
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Source-reported events for the cited work

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Observation 8933a45f-3499-4dd4-86b5-2235fa63bf96 · outbound

This paper cites Gradient Flows in Metric Spaces and in the Space of Probability Measures , year =.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Gradient Flows in Metric Spaces and in the Space of Probability Measures , year =

Reference 97

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Observation 6e292ec8-8778-4f8d-b9d5-8fcc03276b3b · outbound

This paper cites Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior

Reference 98

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Observation 28661b75-9207-4245-97ba-92db6a7a64f2 · outbound

This paper cites Wong and Ben S.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Wong and Ben S

Reference 99

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Observation 3f054f34-0eb9-4858-8477-a8dd50985076 · outbound

This paper cites an unresolved cited work.

ScoreField: Neural Inverse Scattering with Score-Based Generative Priors Unresolved cited work

Reference 100

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Pith citing papers

No inbound Pith citation observations are available.