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Paper Citation Record · LEDGER

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

As of 6 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 44 inbound Pith citation observations for arXiv:1811.08839.

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

pith.paper-citation-record.v1
1811.08839 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T22:06:02.332020Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:44.827971Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy55
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

170
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1fea4123-f5a2-4754-a81e-603631c72d13 · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metas- tases in women with breast cancer.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Diagnostic assessment of deep learning algorithms for detection of lymph node metas- tases in women with breast cancer

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 36f89f48-f3c1-4485-b5ea-c33aca96316d · outbound

This paper cites Robust uncertainty principles: Exact sig- nal reconstruction from highly incomplete frequency information.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Robust uncertainty principles: Exact sig- nal reconstruction from highly incomplete frequency information

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation aae83c83-63dc-479d-b2ec-fae4a84f3962 · outbound

This paper cites Seven challenges in image quality assessment: past, present, and future research.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Seven challenges in image quality assessment: past, present, and future research

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 46f97850-52c5-427d-adc7-5fc31ddd7bbc · outbound

This paper cites an unresolved cited work.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4dfbb79e-84e3-42ab-8f19-713c514fc411 · outbound

This paper cites A transfer-learning approach for accelerated MRI using deep neural networks.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI A transfer-learning approach for accelerated MRI using deep neural networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation fb4eb14b-da0b-40a4-898d-8b55cb4c69c0 · outbound

This paper cites Perceptual quality metrics applied to still image compression.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Perceptual quality metrics applied to still image compression

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5104fe6d-5d92-45b2-958b-6e6afed8c783 · outbound

This paper cites an unresolved cited work.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e23eb517-c13b-4c6c-b7da-b5cdc7a70a7c · outbound

This paper cites 3d segmentation in the clinic: A grand challenge.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI 3d segmentation in the clinic: A grand challenge

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 83db9824-ba2e-421f-845f-673ef6013996 · outbound

This paper cites Generalized autocalibrating partially parallel acquisitions (GRAPPA).

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Generalized autocalibrating partially parallel acquisitions (GRAPPA)

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0846a0d8-8115-462c-a7f1-8e9946ef2a00 · outbound

This paper cites Learning a Variational Model for Compressed Sensing MRI Reconstruction.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Learning a Variational Model for Compressed Sensing MRI Reconstruction

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 80044c85-f356-407a-89fa-a8f2f56bbda8 · outbound

This paper cites Recht, Daniel K.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Recht, Daniel K

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b23ab139-8fcc-4c6d-a139-c2061ff3929c · outbound

This paper cites Framing U-Net via deep convolutional framelets: Application to sparse- view CT.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Framing U-Net via deep convolutional framelets: Application to sparse- view CT

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 138fc102-051d-4ee4-954c-da1c3ff7debd · outbound

This paper cites Current status of the digital database for screening mammography.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Current status of the digital database for screening mammography

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a90f11cb-0805-4369-b9e3-de294ee28149 · outbound

This paper cites Comparison and evaluation of methods for liver segmentation from CT datasets.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Comparison and evaluation of methods for liver segmentation from CT datasets

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.445973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 485f6732-7c58-4a89-8500-9a555b0d6e74 · outbound

This paper cites MR image reconstruction from undersampled k-space with bayesian dictionary learning.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI MR image reconstruction from undersampled k-space with bayesian dictionary learning

Reference 15

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raw_fallback, observed 2026-05-23T22:06:02.451995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ed5a05ab-4299-4171-a0b2-657e299bf49d · outbound

This paper cites Application of perceptual difference model on regularization techniques of parallel MR imaging.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Application of perceptual difference model on regularization techniques of parallel MR imaging

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 01ae97c1-2ffe-4b78-b064-35b9f9cec140 · outbound

This paper cites Deep learning for undersampled MRI reconstruction.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Deep learning for undersampled MRI reconstruction

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2e39f641-3aec-4aea-a891-7486e77f0619 · outbound

This paper cites ISMRM raw data format: a proposed standard for MRI raw datasets.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI ISMRM raw data format: a proposed standard for MRI raw datasets

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1b7a2371-df23-4493-83c9-2303a9a8435b · outbound

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

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Perceptual losses for real-time style transfer and super-resolution

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f5eb7cb7-555b-42d3-9322-a05458f402f8 · outbound

This paper cites SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7c192ea1-e245-488a-8cfe-27c33adcc8b9 · outbound

This paper cites Deep Learning.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Deep Learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1964bd5e-aac7-4548-8d2c-e528a1e20cda · outbound

This paper cites an unresolved cited work.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-05-23T22:06:02.481408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d6318e48-6df3-43e3-a7eb-558885633563 · outbound

This paper cites Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d032b2f7-c500-492a-b33b-8d6acf3351c1 · outbound

This paper cites Menze, Andrs Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Menze, Andrs Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 734e7bb3-6694-4f51-8f4f-5d8a56cdc30f · outbound

This paper cites an unresolved cited work.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 44ab8c47-c05a-47c3-8299-361fdc40a3eb · outbound

This paper cites SENSE: sensitivity encoding for fast MRI.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI SENSE: sensitivity encoding for fast MRI

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0bd97134-9882-4f6e-bf2a-3126cbb8ef51 · outbound

This paper cites Compressed sensing dynamic MRI reconstruction using GPU- accelerated 3d convolutional sparse coding.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Compressed sensing dynamic MRI reconstruction using GPU- accelerated 3d convolutional sparse coding

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 86bd93df-f9dc-4213-85c9-be2352ffe9b4 · outbound

This paper cites The NMR phased array.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI The NMR phased array

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9f4d2055-87b6-423c-92b7-33ce02dbf6e6 · outbound

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

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI U-Net: Convolutional networks for biomedical image segmentation

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d542a211-c7cd-4f60-ba40-18285d8cd216 · outbound

This paper cites Nonlinear total variation based noise removal algorithms.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Nonlinear total variation based noise removal algorithms

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3dcbb443-11cd-44ec-849a-900aa0a715b1 · outbound

This paper cites Berg, and Li Fei-Fei.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Berg, and Li Fei-Fei

Reference 31

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raw_fallback, observed 2026-05-23T22:06:02.524100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d524c2a0-a3dd-4a3a-8cbf-8f04787dd206 · outbound

This paper cites Improved techniques for training GANs.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Improved techniques for training GANs

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6277fe13-fa80-499e-ab60-d3d29ddf9bda · outbound

This paper cites Sandino, Neerav Dixit, Joseph Y.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Sandino, Neerav Dixit, Joseph Y

Reference 33

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raw_fallback, observed 2026-05-23T22:06:02.536892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 38d67dc5-4078-4793-af46-c449d1e97873 · outbound

This paper cites Creation of fully sampled MR data repository for compressed sensing of the knee.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Creation of fully sampled MR data repository for compressed sensing of the knee

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.540833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6aa92fae-0cfd-4d34-a5c0-319ce40ba8c9 · outbound

This paper cites Hajnal, Anthony N.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Hajnal, Anthony N

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:b4d9f7593a97f0f01f0512831fe0af59a0b2737495d326eb5932f4abfc847cd6

Observation fae8fe9d-53fb-465f-ade7-15f4607f36d8 · outbound

This paper cites Hajnal, Anthony N.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Hajnal, Anthony N

Reference 36

Resolution
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raw_fallback, observed 2026-05-23T22:06:02.547967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:f4ecdf6f548311140f9b25ed1a7c24bd5ccb7004f64afe75c44478797d8c31c6

Observation be23718f-6dba-46bb-b38d-85d6688a5210 · outbound

This paper cites an unresolved cited work.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-23T22:06:02.553834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:fa6ccacdf005726d468cccc972d00aed559ec492fed69a7a7e1b428ffd21cb63

Observation 1e317291-b0fd-46d9-898e-20ffbf61fc69 · outbound

This paper cites Accelerated magnetic resonance imaging by adversarial neu- ral network.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Accelerated magnetic resonance imaging by adversarial neu- ral network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.560100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:699707e28a8e93a8945b076f6bc96699e8404c94cf3d9e74f39a0111ec5107d8

Observation b08332f4-31fe-43d8-ae17-4f26eba6b2c8 · outbound

This paper cites Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.563890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:d67a7be0ff1b18f5b70d24f9cac13e01fa3d1406f80802f132aba861a3e3ba2e

Observation 4cf75044-eb5d-4263-a578-f969747e5bc3 · outbound

This paper cites Computer vision algorithms and applications.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Computer vision algorithms and applications

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.569051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:6dd587ecbdba971b8da30ae05fa7bca14915dc2aeef3cd307a6a109b00dd5bce

Observation eb8ccb60-d1b6-40fb-87c0-014a3c49c138 · outbound

This paper cites Perceptual image distortion.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Perceptual image distortion

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.572725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:221868b621566664d9659888f2e8ef39315c27dc27085b757acb5cf955d979ea

Observation 8e64a76b-c78f-466e-904a-c5fabfc44ab5 · outbound

This paper cites Lecture 6.5 - rmsprop: Divide the gradient by a running average of its recent magnitude.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Lecture 6.5 - rmsprop: Divide the gradient by a running average of its recent magnitude

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.579922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:ac8970a419c89afc30d4f5cd8921e75546315902f2e87eb363f8115b87eab60c

Observation 4047f1c1-b31f-4800-ac66-d1be4e6115a8 · outbound

This paper cites Simulating single-coil MRI from the responses of multiple coils.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Simulating single-coil MRI from the responses of multiple coils

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.584055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:c95291f9519ce60da5e504acc906d35583ea3812417b08841ca0b029aba874c1

Observation ee26f9ea-1920-47fc-84ea-4a35e933126f · outbound

This paper cites Murphy, Marcus T.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Murphy, Marcus T

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.587695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:4f2972bb86b582e9d771985ae75539b712396bcb88a35b4db69a0fdc5f1b3b88

Observation 3ad002b3-8347-47f1-97b4-9769a509c137 · outbound

This paper cites ESPIRiT -an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI ESPIRiT -an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.591702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:3389cd475c834a48b75344c09cb786c253e4a78a1577cf591aa16abf99d8746a

Observation 6bf8c3f6-5288-4554-903b-82592fa02dd4 · outbound

This paper cites Lempitsky.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Lempitsky

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.595601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:c1510127cd8852c23ea3890397da98e0b1b9b7227446824527ce78feec927135

Observation a0f786b3-4e8f-42af-82d1-1ad2c704b354 · outbound

This paper cites Lempitsky.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Lempitsky

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.599414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:7b1090055500741509af3d8799a83d5e49a40bd24e3d87d21d68ba501e00df6f

Observation 59330f4f-875f-4bc8-a8e6-3f38ccba1fd8 · outbound

This paper cites Accelerating magnetic resonance imaging via deep learning.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Accelerating magnetic resonance imaging via deep learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.602739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:ebb08470f3bef218ad5edfb3ccdd660d42f99a44dfa4be4d42c10d7940faabbe

Observation dc6fafe7-cc5d-487e-9400-d48f63f0b842 · outbound

This paper cites High- resolution image synthesis and semantic manipulation with conditional GANs.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI High- resolution image synthesis and semantic manipulation with conditional GANs

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.606620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:eedb3a3e647153c628c23140a872e4381f4209dd40a84ded63f4e2de850cfded

Observation 61551052-e0fa-4e91-ade3-e46642aa48bb · outbound

This paper cites ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.614483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:832ad2a66eb4651fddc0fa340e7ee994db2770a574a4a4e5f59f50fe8c05f1f0

Observation b222c1cb-fe3e-415f-bbd8-1e9886e5ffbe · outbound

This paper cites Mean squared error: Love it or leave it? a new look at signal fidelity measures.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Mean squared error: Love it or leave it? a new look at signal fidelity measures

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.618906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:950f79316df7b4b805bb54f7f0320e05c554d21e86dbe924a8bad43c6223821a

Observation 96fd1c2e-ca58-4f6e-99ab-f6f3781a5f27 · outbound

This paper cites Multiscale structural similarity for image quality assessment.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Multiscale structural similarity for image quality assessment

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.623065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:e3d2a9cf20f06f9bc249b56b4e5389a15234546ceb9ef0d02665551ef402ec99

Observation c478e692-e019-48dc-974f-0850e4944ae4 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Image quality assessment: from error visibility to structural similarity

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.626968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:092b5d20205cee5c9b34431cae888bb6353a748593e9149dc18197f6b69cd717

Observation a931d38c-2640-462b-961d-e1cce1f12c4b · outbound

This paper cites Takahashi, Takeshi Funaki, Susumu Miyamoto, Aur´ elien F.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Takahashi, Takeshi Funaki, Susumu Miyamoto, Aur´ elien F

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.631158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:f1891eba204b8491f2e444e0ed7552a1100dcb008d4c1e8121fd6910b4535ec8

Observation a486b913-7f52-4d18-9bc0-5f6c535a5adf · outbound

This paper cites Deeplesion: Automated mining of large-scale lesion annotations and universal lesion detection with deep learning.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Deeplesion: Automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.635326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:791d1c6468c8dfddb49cda45e9829bff660598089f1f747033223e959abebf2e

Observation 04de7e3e-4597-466a-8235-efca6ac646fe · outbound

This paper cites Deep ADMM-Net for compressive sensing MRI.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Deep ADMM-Net for compressive sensing MRI

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.640622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:40600d174abb50650f1defb11e066ecb8f841e5381772fc2263d9998527f6c4a

Observation 0dc6ebbd-6311-4f08-a1f9-bc37cdf951ed · outbound

This paper cites ADMM-Net: A deep learning approach for compressive sensing MRI.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI ADMM-Net: A deep learning approach for compressive sensing MRI

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.644572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:917ba26cdf8ed005a92c90055dee5e6a425f96bf5879b0dd0e2e50181de67039

Observation 42a4a5e7-cddf-4f0d-8b04-75695a11f5b0 · outbound

This paper cites FSIM: a feature similarity index for image quality assessment.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI FSIM: a feature similarity index for image quality assessment

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.648503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:c1d3e9237ace249abfe15e1aedebd155e3a0e0f2464f25a59bd6977345cb8b94

Observation 8587e12d-1eac-4f21-8d19-8be306aeefda · outbound

This paper cites Loss functions for image restoration with neural networks.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Loss functions for image restoration with neural networks

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.652407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:4e6f662ac81f2b9304b10bbe0d60884b22df69e6bad0afa07a38fa5e370ccc65

Observation ebe50b78-8926-42bf-b28f-eede0cc99a9f · outbound

This paper cites Liu, Stephen F.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Liu, Stephen F

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T22:06:02.656142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T22:06:02.332020Z digest=sha256:58640db785a3402f0c85eaa5d1cedb59b781735dd1e0dbcf08a484868a1bb6e4

Pith citing papers

Observation d739a55f-e761-40ce-9531-562bc8feeacb · inbound

Flemme: A Flexible and Modular Learning Platform for Medical Images cites this paper.

Flemme: A Flexible and Modular Learning Platform for Medical Images fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T21:53:08.370781Z digest=sha256:c2426a82cfbe57dbe9d7850aeaa5676433678fd6b1d49f589023e98c0f91efd2

Observation 08c1648a-3902-4262-9e0c-c4c74d6ffa83 · inbound

A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling cites this paper.

A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 49

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metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T21:01:44.483461Z digest=sha256:29743539caabc129c820a3dcee95216fb1daa3c9d5f5ee1fc360dd0a13af31de

Observation 1ddb539d-9bf8-4f6d-8ef9-5876830515ac · inbound

A Survey on Diffusion Models for Inverse Problems cites this paper.

A Survey on Diffusion Models for Inverse Problems fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T04:31:49.105271Z digest=sha256:0f4a80a8033e8dfb1e6b5a9f81b15a49667d828cf0ec266aa87874ceca3bb26c

Observation 76076dac-8171-45e0-be6a-7338fd951b65 · inbound

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) cites this paper.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T05:02:03.402399Z digest=sha256:bdb6e352b8fff98de4ace069df71050fb6af9b287667491d35d28439ecb48d5a

Observation bc13160a-a9c2-4974-826e-0470a3dafabb · inbound

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction cites this paper.

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:57:52.895908Z digest=sha256:673a06c8c833182db7e5fd11c493f73b823b43ffc5fa5ebdc38d9d5d38028d26

Observation 533c6667-9a5e-432e-ab78-eed9aacd1856 · inbound

Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration cites this paper.

Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T00:19:08.801680Z digest=sha256:3304af8dfadea6ad8f79f01147bc71b15779d7a8cd1fa140ea5165d278721dff

Observation 69b6625a-a3ef-4514-9b10-b65176de1407 · inbound

Patient-Adaptive Echocardiography using Cognitive Ultrasound cites this paper.

Patient-Adaptive Echocardiography using Cognitive Ultrasound fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T23:18:51.891901Z digest=sha256:affba00881d31277d1249cf5d7a1b6f6cfbc82c1b3c884057d5f46e534c2f280

Observation 184f594e-af70-4ae7-b26e-f03d651f1d1a · inbound

HiFi-Mamba: Dual-Stream W-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction cites this paper.

HiFi-Mamba: Dual-Stream W-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:44:56.150141Z digest=sha256:9f6eba2e2034198e5b8b2cdd1bc3b8adf0201d975efb414b87b0aac9e63bf9f6

Observation c4e98e6b-64e5-405d-9a4b-503724c31ed1 · inbound

Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction cites this paper.

Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 61

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unresolved
no resolver link, observed 2026-08-04T12:43:44.827971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:43:44.827971Z digest=sha256:31ae0fbe1187e92ac5d38bb00fd5c1206f98d50c6d5cddd3a91e508d442361ae

Observation ad4c876f-bfc8-4777-84c8-1b2c9db4c195 · inbound

Local MAP Sampling for Diffusion Models cites this paper.

Local MAP Sampling for Diffusion Models fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 21

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unresolved
no resolver link, observed 2026-08-04T11:15:57.852861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:15:57.852861Z digest=sha256:c80aadffaa2a56552c74f38f56e48f3540bf7b98f8f4be8462ca4a022669de5f

Observation 6e7daa62-4627-4d85-b4d0-cf9313504845 · inbound

Average Kernel Sizes -- Computable Sharp Accuracy Bounds for Inverse Problems cites this paper.

Average Kernel Sizes -- Computable Sharp Accuracy Bounds for Inverse Problems fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 76

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no resolver link, observed 2026-08-04T10:22:05.546680Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:22:05.546680Z digest=sha256:40595678e1a20f53f44b01940520cccd98d2cac2e63146f593ed3802b83306e3

Observation e646804e-da84-4cb6-9f0b-0236ee833530 · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 50

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verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:05:06.069642Z digest=sha256:930852853f1c5136981fe9ac26c0f9213cb7df613f4a5165a86c8b44da84b3f4

Observation 81d3f717-3194-4655-a1eb-6c4452799f43 · inbound

Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements cites this paper.

Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 57

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unresolved
no resolver link, observed 2026-08-04T06:59:50.630935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:59:50.630935Z digest=sha256:a7e04e0431a050ef8bf56c2cd09a79eb11b6486be2646b2227ee7531a2a86677

Observation 8ae72afb-236b-42ad-90af-512386c00700 · inbound

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction cites this paper.

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 15

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verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T16:42:18.815386Z digest=sha256:c7c246da1df136d70bab7b32217443b2ccc4aa72a5b6f3a30a1bebeaaf5ea315

Observation 086b301e-3799-498b-8141-16510ae6faf5 · inbound

Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction cites this paper.

Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 29

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unresolved
no resolver link, observed 2026-08-03T09:41:56.310539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:41:56.310539Z digest=sha256:c4e5f38dde245537a3799f3e276ff8099c4b4c0ed3eba14d08f573d295fbc720

Observation 94e6aeec-6cf3-4cf0-b016-a4a807a55a28 · inbound

Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers cites this paper.

Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T07:29:33.111508Z digest=sha256:fc49d11186b959be25828d2901c37e24f7dca8ec5a2295c90fbc832cee710f56

Observation a7c6716a-c041-4989-b1bd-5bb9bd717232 · inbound

Stochastic Generative Plug-and-Play Priors cites this paper.

Stochastic Generative Plug-and-Play Priors fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T18:19:08.306277Z digest=sha256:fb43fc7b51064cf873b964e96d269a0b2131c72079600dddb1a375364a08c453

Observation e4df4197-9074-405b-8054-40ffce9d85e5 · inbound

Vision-Language Model-Guided Deep Unrolling Enables Personalized, Fast MRI cites this paper.

Vision-Language Model-Guided Deep Unrolling Enables Personalized, Fast MRI fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:22:29.597875Z digest=sha256:7ed15ed37079e79cfa1006e55f9953df28dc135fb14eb2c6048c5713db70110f

Observation 095a99b2-712c-495b-b3e9-80bbc378f45d · inbound

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI cites this paper.

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 41

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metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:51:41.991034Z digest=sha256:4cf4e2ed618ac3c3ce2f188043f086c483f19ea2271655df3a6b9756d9960c90

Observation 3104151f-d619-41af-872e-6bc6d603e0fe · inbound

Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging cites this paper.

Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 60

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metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:02:12.799117Z digest=sha256:f005a3df753a646d38036c1fdfc28fd002856ae0eea1ac99e180f574c44b1fc0

Observation 0655314a-ce93-4af5-9763-bd756c4e2558 · inbound

Generative Modeling of Complex-Valued Brain MRI Data cites this paper.

Generative Modeling of Complex-Valued Brain MRI Data fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T09:23:04.787513Z digest=sha256:4831231b14425e26b358b72238e0c3c0117fe03b22275a135eebb2078d4ac4ce

Observation 1a1657dc-4bd0-40ce-b305-2e02b10b9986 · inbound

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction? cites this paper.

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction? fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 40

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verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T09:08:28.326598Z digest=sha256:ac2570189d012a78d98ee4194025235317ea6f9bccf3f8d419ad69f2fc3432cc

Observation b676de57-0174-4555-bc96-af261685e0df · inbound

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning cites this paper.

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 72

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verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T08:49:23.121038Z digest=sha256:4d6e014b3b73b9f84866aca7d40644116d465529a3c8bdc7a3ac164d14e18601

Observation 0e62122c-4be0-4627-9bf0-018b61a525ac · inbound

Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models cites this paper.

Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T15:26:52.844479Z digest=sha256:f2676bd916f28d127e8116c7a873946b159e6b257bada67133eb375cb628f962

Observation 7c5498c8-ef95-4d52-8eab-8710f1fc2f54 · inbound

MK-ResRecon: Multi-Kernel Residual Framework for Texture-Aware 3D MRI Refinement from Sparse 2D Slices cites this paper.

MK-ResRecon: Multi-Kernel Residual Framework for Texture-Aware 3D MRI Refinement from Sparse 2D Slices fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T01:22:03.072629Z digest=sha256:38e7f5f2a8b9684998e4f7b5bca836dfdba9500681e3084899fb84856c6b77dc

Observation 89ff4a47-1f5c-4cd1-a5fa-b09351bb2280 · inbound

NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI cites this paper.

NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T01:52:03.873036Z digest=sha256:f1dcdb64651c29c7801edce79273696cc3fa869b277c4384263bcbfebc572a31

Observation fa437bd5-4e68-47df-bcfb-8857820e1328 · inbound

On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods cites this paper.

On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 65

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verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:15:37.772245Z digest=sha256:0a5424d39367b628a18387c59ce55331c52600e237189df0c441608026c11eca

Observation 18f910fa-dfa2-4dd5-bc06-34570c2a53ab · inbound

Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems cites this paper.

Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:35:04.936046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T21:26:04.409899Z digest=sha256:dfd9284dd80a980cb29bf4fbe229dba1e3de052ca6143b013ab74a31dd4fdb5e

Observation 3fae213e-adc4-49e1-a4c4-4ebcd979df43 · inbound

SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction cites this paper.

SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:06:02.657571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T06:59:57.980696Z digest=sha256:3861c990525758ad6cf604b9d24233e22c04cff85cc8bd71eced494e4c09574c

Observation e2f83dc5-32b2-4346-b97e-7338620f0f81 · inbound

MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment cites this paper.

MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:33:28.386644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T13:26:13.837755Z digest=sha256:f336c8aaf964213c91e922c0421c66124eb48c46c9458f891bd33168fe2341c4

Observation c72bffc1-72a3-45ac-b0ec-a75020b710c4 · inbound

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications cites this paper.

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-30T15:54:48.821798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T15:52:48.751172Z digest=sha256:fbb9554420523eaddc79267d9111f6a40a3067eab2ae1b9c85279a229dc307f8

Observation 3bc22684-d581-41c5-b820-8281db52faf9 · inbound

CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout cites this paper.

CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:53:50.905340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:67e09cee3c6ca89294d810242259d4cc76efce932e368276c078bbaeef616c82

Observation 9f7bb169-69d9-45a0-b205-289c2b772099 · inbound

MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction cites this paper.

MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-02T01:06:24.674101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T12:35:58.045852Z digest=sha256:9c2e938649764ae334c0525d99b531a0975badc5e99bdcd614238cb898b8e216

Observation 62ecbb48-0675-42cc-8146-fbbea6d31200 · inbound

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models cites this paper.

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 79

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T23:06:21.173834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T14:38:40.017263Z digest=sha256:171f1bdf5ef593e151a760b434f2205353990b9340ea73bc060195a796032400

Observation 4e1ae738-ff89-4c80-9079-43fa9478323d · inbound

Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning cites this paper.

Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-04T02:49:24.961427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T19:02:28.134401Z digest=sha256:724111d8b19e625fb1782758c0cadb4cf75d708f477fcc24fe95d7028bf8cdb7

Observation 0117eb12-93b8-4177-8165-8e7df1764927 · inbound

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging cites this paper.

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:09:36.608409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T14:54:21.924822Z digest=sha256:9fbc903757853b3a26f39fae40b832ee46507aea5479e0f01e36b67436b315f9

Observation d1f954c3-c2d2-4e0d-bd33-68b9e7565c32 · inbound

Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction cites this paper.

Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T15:25:48.520863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T01:26:46.196472Z digest=sha256:3b567585381008920d110dc518c3127bdb9cb295b0aafd88eefc1312dd6c5c12

Observation 359c0cd4-2f4b-42ff-90eb-d503f28ec89f · inbound

High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction cites this paper.

High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:36:58.396457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:ecc2e925989526ce19ef84c0adf24e1b4a7964c5952d3491695ab85da4bae16b

Observation 522b9e30-fd22-4333-a321-f4df215ab117 · inbound

Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI cites this paper.

Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-03T03:47:35.098800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T03:38:18.732178Z digest=sha256:711c119ceaa7e21d6c6ef71e8fc70750ee9a06cd75673392b5fd3b1fa61c73cc

Observation bb41fbd4-3821-4fdf-a9e1-39d9d372813a · inbound

Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling cites this paper.

Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-09T20:36:31.499591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T20:31:00.219376Z digest=sha256:52a36aa8ac6006cdbe19e69d0415ebc54372ee5a122669158e63d1c0a106c827

Observation 1c5ce027-0bc1-4505-a198-290bb1a754db · inbound

Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing cites this paper.

Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T14:42:42.381010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:42:42.381010Z digest=sha256:c355a0f157a4197ffc482ea7c4eaa6f422ed6d0a0df7ec5ab64e607da8d2e83b

Observation 55e13266-58fb-455d-acfa-42043440840a · inbound

Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI cites this paper.

Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T11:48:11.398320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:48:11.398320Z digest=sha256:a146af45b57242cae33cf36e898520a793a85d5ea79a8c00e1b89ad00a7ef575

Observation 64f1b05f-62bf-4fc2-948d-f03c2c57d813 · inbound

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction cites this paper.

SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 58

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unresolved
no resolver link, observed 2026-08-01T10:41:19.843493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:41:19.843493Z digest=sha256:5769ed9b0ac342236222cd59afc1202db4014acec63a2bac2b028c794a004ac0

Observation 8087dc03-44f4-4ebe-b281-5b582ca97ae8 · inbound

Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging cites this paper.

Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-01T01:05:09.640387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:05:09.640387Z digest=sha256:dba309dd616cf02e0d98160985b99e37d990f0657e6596b86a49232b07892cf9