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Paper Citation Record · LEDGER

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.16237.

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

pith.paper-citation-record.v1
2506.16237 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:52:18.134106Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

45 of 45 outbound references displayed

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  • verified fuzzy32
  • unresolved11
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cd75ef2-9942-47e3-84c9-c3e893367926 · outbound

This paper cites Statistical analysis of noise in MRI.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Statistical analysis of noise in MRI

Reference 1

Resolution
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Observation 8dfa0fee-d160-4527-a2a3-0bf0d3c21443 · outbound

This paper cites Amzal, F.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Amzal, F

Reference 2

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Source-reported events for the cited work

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Observation 98f36afb-e677-4efe-87c8-1652706cef98 · outbound

This paper cites Reverse-time diffusion equation models.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Reverse-time diffusion equation models

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 75097bb6-8761-49d7-8d99-d0dbb504fa91 · outbound

This paper cites The D eep M ind JAX E cosystem, 2020.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design The D eep M ind JAX E cosystem, 2020

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ee581f8e-70a3-4561-97d1-623e88436ab9 · outbound

This paper cites Bahadir, Alan Q.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Bahadir, Alan Q

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ed12f8f5-2e9b-4d9d-9290-8bc946bd0baf · outbound

This paper cites Experimental design for MRI by greedy policy search.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Experimental design for MRI by greedy policy search

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 739a65cf-3c22-4a87-8cee-09a5a14c8b6e · outbound

This paper cites MRI Reconstruction with Regularized 3D Diffusion Model (R3DM) , 2024.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design MRI Reconstruction with Regularized 3D Diffusion Model (R3DM) , 2024

Reference 7

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5ccbeac4-a876-4184-a000-701c8a85fd61 · outbound

This paper cites an unresolved cited work.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 28188523-391f-4370-85cc-f460710aeda1 · outbound

This paper cites On the Generation of Sampling Schemes for Magnetic Resonance Imaging.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design On the Generation of Sampling Schemes for Magnetic Resonance Imaging

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 67ad8467-37d8-4b13-b38a-6c173637cc34 · outbound

This paper cites Compressed sensing with structured sparsity and structured acquisition.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Compressed sensing with structured sparsity and structured acquisition

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f9956431-cf5e-4885-aa21-12514cf0eac6 · outbound

This paper cites Tweedie moment projected diffusions for inverse problems.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Tweedie moment projected diffusions for inverse problems

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 69e8ba4f-b85c-4388-9625-b3a5ff34acb6 · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 2d30d33c-5d0d-4fc0-a918-d3f6a0ed528c · outbound

This paper cites an unresolved cited work.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 21a248d8-854f-48e8-aba7-73bd6d1c0ff4 · outbound

This paper cites Chaloner and I.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Chaloner and I

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:14.661006Z digest=sha256:1d4fdd008c067152a995af86d8dafa9f8da40c05b941796df4b9b00d92365354

Observation 7696bef6-4fca-482b-bf7f-806d8cc38388 · outbound

This paper cites Variable density sampling with continuous trajectories.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Variable density sampling with continuous trajectories

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:14.819736Z digest=sha256:8248039e63bac7ae65c91c848bc3e774a799d2632b0d2322ac715cdd3153f493

Observation c13d054a-a474-4069-a500-114670bd35ae · outbound

This paper cites Score-based diffusion models for accelerated MRI.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Score-based diffusion models for accelerated MRI

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c529de48-3699-466b-b0b0-7f56fcc4fcc4 · outbound

This paper cites Dimakis, Chul Ye, and Mauricio Delbracio.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Dimakis, Chul Ye, and Mauricio Delbracio

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 11429f63-1399-4924-bcbd-4797f05f0e54 · outbound

This paper cites Diffusion models beat GANx on image synthesis.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Diffusion models beat GANx on image synthesis

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5da5be93-bad0-45cf-9654-d5009d6fea77 · outbound

This paper cites Measures of the amount of ecologic association between species.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Measures of the amount of ecologic association between species

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fbdf8d04-c3e8-4386-9e2e-a11b5572e106 · outbound

This paper cites Tweedie’s formula and selection bias.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Tweedie’s formula and selection bias

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:15.470641Z digest=sha256:4f0fc87cbbb25af1be22fd09c9f19a6c2b78f9ffc2c7c9611c7930b1bf807807

Observation 5f04cee7-b87a-488a-a1a9-855b9af71abd · outbound

This paper cites Foster, M.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Foster, M

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c6726377-c0c0-48f2-b7ce-826b466bb413 · outbound

This paper cites Foster, D.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Foster, D

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 09d162e8-c061-427b-b976-0f889c64fc4a · outbound

This paper cites an unresolved cited work.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ec632fec-e211-4392-85e2-bdfdc9a98882 · outbound

This paper cites Optimal experimental design: Formulations and computations.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Optimal experimental design: Formulations and computations

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f6fc536c-7fde-4519-b8c0-cff845f30537 · outbound

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

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Estimation of Non-Normalized Statistical Models by Score Matching

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6e796514-85aa-4578-93a1-dd41bb5bf499 · outbound

This paper cites PASOA- PArticle baSed Bayesian Optimal Adaptive design.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design PASOA- PArticle baSed Bayesian Optimal Adaptive design

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 887374d9-1b32-4dac-8b9d-cf52e9f3d006 · outbound

This paper cites Bayesian Experimental Design via Contrastive Diffusions.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Bayesian Experimental Design via Contrastive Diffusions

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7943d704-b4d1-432c-aa2f-6f19e6d49516 · outbound

This paper cites Data of the White Matter Hyperintensity (WMH) Segmentation Challenge , 2022.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Data of the White Matter Hyperintensity (WMH) Segmentation Challenge , 2022

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d226634e-dbb4-4ef7-ada2-53ecab7640ad · outbound

This paper cites SPARKLING: variable-density k-space filling curves for accelerated T 2 * -weighted MRI.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design SPARKLING: variable-density k-space filling curves for accelerated T 2 * -weighted MRI

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ef34f406-d176-4429-81b7-a1c36a8cd4b6 · outbound

This paper cites Lauterbur.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Lauterbur

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b6358a89-646d-4b6a-87e6-5c249ce6d2de · outbound

This paper cites Donoho, Juan M.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Donoho, Juan M

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7dab3fc5-8b2d-4ad5-b6be-df8d4737a4ec · outbound

This paper cites Active Diffusion Subsampling.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Active Diffusion Subsampling

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:16.902428Z digest=sha256:cf84e6ffa8be665e408b3936844f5ef8011c7bcb2539c3c828377f5dd2f4661b

Observation d74f47b0-b00f-4e68-88d9-0a01a0485c67 · outbound

This paper cites Probabilistic Bayesian optimal experimental design using conditional normalizing flows.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Probabilistic Bayesian optimal experimental design using conditional normalizing flows

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:16.998160Z digest=sha256:51b6792f678c886e49a3bf6baf1863558f05fda2bb774c78377e8a13d9468688

Observation 407070bf-a790-4225-9620-bb9136c9c6fe · outbound

This paper cites Active MR k-space Sampling with Reinforcement Learning, page 23–33.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Active MR k-space Sampling with Reinforcement Learning, page 23–33

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0af59282-d9d8-46db-b193-70cd82e59d6c · outbound

This paper cites On variable density compressive sampling.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design On variable density compressive sampling

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7d49ab38-6057-496e-877c-9ef7826a23c5 · outbound

This paper cites Rainforth, A.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Rainforth, A

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:17.421287Z digest=sha256:04685b00f4a0a480ddf66af020f0e03fddf3be39b169b85bbc00789c37688974

Observation 4ab9a6f1-2c72-4332-983d-c84b1f0de15c · outbound

This paper cites Sebastiani and H.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Sebastiani and H

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:19.604650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:17.501596Z digest=sha256:5d5891435d15e324c0d9af51e78384333116c954d2c85b1abd0cb6b7e152f596

Observation 74ec885f-b086-44d6-8472-0978d4877ef5 · outbound

This paper cites Denoising diffusion implicit models.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Denoising diffusion implicit models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:17.584367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:17.584367Z digest=sha256:69065e21332dd81599afa26aa97e9241ba6acb6cf4a7beceb07f00570ecfcc7c

Observation 448883a5-188c-4db5-a3b6-6a1e9ea87589 · outbound

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

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Solving inverse problems in medical imaging with score-based generative models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:17.676604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:17.676604Z digest=sha256:19a8eb381b2112fbcde0b3bb1acd7cc407b5e70aebf5413842772096d6f0341f

Observation b8d8a07a-1d4e-4e3b-b23b-f271879f5a40 · outbound

This paper cites Wang , A.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Wang , A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:19.409074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:17.765441Z digest=sha256:2e3f710061c7b88c63e8c64543c21d940cb2726d7629a5ed5737d2b21fbd20f2

Observation 137a0c4c-0051-4923-8abc-bf162b628f10 · outbound

This paper cites A conditional normalizing flow for accelerated multi-coil MR imaging.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design A conditional normalizing flow for accelerated multi-coil MR imaging

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:19.210695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:17.842054Z digest=sha256:adb0eb81f37aac857cb4da25b14652ef37f8a8a75909dbef9ab0bdaea15633c3

Observation 751af4ec-d937-45bb-ae93-beae2f33d1e8 · outbound

This paper cites Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:18.998678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:17.916653Z digest=sha256:95735430e0d70b27fa33bbbb591d14e5fe245fab8638c44c5c108286e51b7ef0

Observation 5bef817d-f326-489c-8128-41fd7836e6f5 · outbound

This paper cites Dalca, Yisong Yue, and Katherine L.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Dalca, Yisong Yue, and Katherine L

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:18.830916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:18.012096Z digest=sha256:240f7eb3ad76ed9454ed72ba080a37138fec980ec7276ad4299265916a820591

Observation c747286a-7f78-4864-bd32-060e73b6dd12 · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:18.075673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:18.075673Z digest=sha256:5f2bf6f81a60a9a3da588383ccfb4a51718b736db1de9a6c6edb0dd2e0c0d5e6

Observation f2c1ff9b-c980-4a94-a509-f874b309d94e · outbound

This paper cites Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:52:18.619989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T23:52:18.134106Z digest=sha256:fcf366c5a3f8d66a2bf4b42f4a69e41492f2bee51e09dd804df8dd4ae0716b64

Pith citing papers

No inbound Pith citation observations are available.