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Paper Citation Record · LEDGER

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.15342.

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

pith.paper-citation-record.v1
2412.15342 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:34:29.392289Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation d2ab7968-2ce5-4c4e-9c4a-e5102310d7cb · outbound

This paper cites What is the “normal.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI What is the “normal

Reference 1

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Observation 3770283d-5ffb-445b-9432-63d759a77684 · outbound

This paper cites Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI,

Reference 2

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Observation 4d62e790-8665-43a2-b0e2-d2aff34784a1 · outbound

This paper cites Self-gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Self-gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study,

Reference 3

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Observation 3c20bf25-4711-45e6-b3fb-2d1cc035f3b3 · outbound

This paper cites Dynamic imaging of the fetal heart using metric optimized gating,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Dynamic imaging of the fetal heart using metric optimized gating,

Reference 4

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Source-reported events for the cited work

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Observation 75ba192e-a690-44f3-8f96-783aca8609f5 · outbound

This paper cites k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations,

Reference 5

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Source-reported events for the cited work

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Observation c1885895-9057-4da7-8c99-30aeae80e4e2 · outbound

This paper cites Fetal cardiac cine imaging using highly accelerated dynamic MRI with retrospective motion correction and outlier rejection,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Fetal cardiac cine imaging using highly accelerated dynamic MRI with retrospective motion correction and outlier rejection,

Reference 6

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Source-reported events for the cited work

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Observation 5f5e097f-0b83-41c5-9905-9d70483a7f25 · outbound

This paper cites Fetal whole-heart 4D imaging using motion-corrected multi-planar real-time MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Fetal whole-heart 4D imaging using motion-corrected multi-planar real-time MRI,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 980ad7ea-dcd1-488e-a7ea-5ada95cc2d03 · outbound

This paper cites Fetal cardiac cine magnetic resonance imaging in utero,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Fetal cardiac cine magnetic resonance imaging in utero,

Reference 8

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Source-reported events for the cited work

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Observation 1f139fe0-5826-49ae-9d50-736558b7045a · outbound

This paper cites Fetal whole heart blood flow imaging using 4D cine MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Fetal whole heart blood flow imaging using 4D cine MRI,

Reference 9

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Source-reported events for the cited work

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Observation 10acce28-5279-491c-baac-81607fd60afa · outbound

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

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI U-net: Convolutional networks for biomedical image segmentation,

Reference 10

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Source-reported events for the cited work

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Observation 0f3923de-af91-4801-b1eb-3414062d73e6 · outbound

This paper cites Deep learning recon- struction of dynamic free-breathing fetal heart mri to improve clinical pipeline,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Deep learning recon- struction of dynamic free-breathing fetal heart mri to improve clinical pipeline,

Reference 11

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Source-reported events for the cited work

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Observation 4f09aa56-eaac-4fcc-b0db-b2d2681ead80 · outbound

This paper cites The challenge of fetal cardiac MRI reconstruction using deep learning,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI The challenge of fetal cardiac MRI reconstruction using deep learning,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 63017f4f-7d07-438a-9a7b-1a1d0a95816e · outbound

This paper cites Unaliasing by Fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Unaliasing by Fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 346a8848-b291-43ae-a620-1ddcc9e1cf18 · outbound

This paper cites Dynamic autocalibrated parallel imaging using temporal GRAPPA (TGRAPPA),.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Dynamic autocalibrated parallel imaging using temporal GRAPPA (TGRAPPA),

Reference 14

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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 2026-08-13T06:32:02.005865+00:00.

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Observation c90d56b6-6f56-4d08-9b88-1382b4315aa6 · outbound

This paper cites Adaptive sensitivity encoding incorporating temporal filtering (TSENSE),.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Adaptive sensitivity encoding incorporating temporal filtering (TSENSE),

Reference 15

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Source-reported events for the cited work

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Observation 0ccb25dc-1130-4519-85c5-cab8836b15b1 · outbound

This paper cites k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8cdfce2a-04c1-4480-9609-e7649513f7ae · outbound

This paper cites k-t PCA: temporally constrained k-t BLAST reconstruction using principal component analysis,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI k-t PCA: temporally constrained k-t BLAST reconstruction using principal component analysis,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation c0f962fa-5aa8-4f1d-b3c6-525b5c1a80d1 · outbound

This paper cites Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR,

Reference 18

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Source-reported events for the cited work

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Observation 72f99348-0288-4807-a1a2-d0414f684088 · outbound

This paper cites Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 13a95917-05b9-439d-8ef0-17eadc83018c · outbound

This paper cites A kernel-based low-rank (KLR) model for low-dimensional manifold recovery in highly accelerated dynamic MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI A kernel-based low-rank (KLR) model for low-dimensional manifold recovery in highly accelerated dynamic MRI,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e194836b-e18f-4771-bf53-0c3c72b2e507 · outbound

This paper cites Fast low rank column-wise compressive sensing for accelerated dynamic MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Fast low rank column-wise compressive sensing for accelerated dynamic MRI,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6a92b650-bb93-4f47-81bb-6d06062303f2 · outbound

This paper cites A deep cascade of convolutional neural networks for dynamic MR image reconstruction,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI A deep cascade of convolutional neural networks for dynamic MR image reconstruction,

Reference 22

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Source-reported events for the cited work

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Observation 4c8cbf87-a282-4138-91f6-9882ce72e9dd · outbound

This paper cites Convolutional recurrent neural networks for dynamic MR image reconstruction,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Convolutional recurrent neural networks for dynamic MR image reconstruction,

Reference 23

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Source-reported events for the cited work

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Observation 01454ec4-04a7-4303-b003-8e5cd4fd7155 · outbound

This paper cites Cinenet: deep learning-based 3d cardiac cine mri reconstruction with multi-coil complex- valued 4d spatio-temporal convolutions,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Cinenet: deep learning-based 3d cardiac cine mri reconstruction with multi-coil complex- valued 4d spatio-temporal convolutions,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c73eb998-7358-485c-b7a2-7f2ba770a896 · outbound

This paper cites Real-time deep artifact suppression using recurrent u-nets for low-latency cardiac mri,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Real-time deep artifact suppression using recurrent u-nets for low-latency cardiac mri,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b877931c-0b2b-44ba-ac0b-873b4e1b6bd7 · outbound

This paper cites Deep artifact suppression for spiral real-time phase contrast cardiac magnetic resonance imaging in congenital heart disease,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Deep artifact suppression for spiral real-time phase contrast cardiac magnetic resonance imaging in congenital heart disease,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 845a45c9-c9f3-4624-9f93-37df7d5bf154 · outbound

This paper cites Highly accelerated free-breathing real-time phase contrast cardiovascular mri via complex-difference deep learning,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Highly accelerated free-breathing real-time phase contrast cardiovascular mri via complex-difference deep learning,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5bcc5888-bcb8-4c46-a465-40a64d2fdda5 · outbound

This paper cites Deep learning- based rapid spiral image reconstruction (desire) for high-resolution spiral first-pass myocardial perfusion imaging,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Deep learning- based rapid spiral image reconstruction (desire) for high-resolution spiral first-pass myocardial perfusion imaging,

Reference 28

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 462846ee-80cc-40ee-a546-5a0b7e754042 · outbound

This paper cites Dynamic mri using model- based deep learning and storm priors: Modl-storm,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Dynamic mri using model- based deep learning and storm priors: Modl-storm,

Reference 29

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T11:34:29.319957Z digest=sha256:72d7b513c2c71b5f83e298b7b2895b75eb5e3f10054c49933cb398b2f978a646

Observation 3c3a35bf-b446-4535-8726-ccf5db1f8f30 · outbound

This paper cites A deep learning-based integrated framework for quality-aware undersampled cine cardiac mri reconstruction and analysis,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI A deep learning-based integrated framework for quality-aware undersampled cine cardiac mri reconstruction and analysis,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8441cdb6-0563-4648-9620-29e135b7cdbe · outbound

This paper cites k-t NEXT: dynamic MR image reconstruction exploiting spatio-temporal correlations,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI k-t NEXT: dynamic MR image reconstruction exploiting spatio-temporal correlations,

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 2026-08-13T06:32:02.005865+00:00.

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Observation 372645ff-d172-4f45-8a38-ae52ed1d94b0 · outbound

This paper cites Deep low-Rank plus sparse network for dynamic MR imaging,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Deep low-Rank plus sparse network for dynamic MR imaging,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:34:29.607600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d67557a5-d1e4-4ad7-ace3-1fe5e2879e63 · outbound

This paper cites Learned low-rank priors in dynamic MR imaging,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Learned low-rank priors in dynamic MR imaging,

Reference 33

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Observation 0ed9b6c0-0fc3-49b1-807d-02e9c2ba9270 · outbound

This paper cites Complementary time-frequency domain networks for dynamic parallel MR image reconstruction,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Complementary time-frequency domain networks for dynamic parallel MR image reconstruction,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5f9b382c-09f7-4612-88f2-47758c8569b6 · outbound

This paper cites Exploiting motion for deep learning reconstruction of extremely- undersampled dynamic MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Exploiting motion for deep learning reconstruction of extremely- undersampled dynamic MRI,

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 102c1cff-d5b0-4cc1-9c64-04c4fda32df2 · outbound

This paper cites End-to-end deep learning of non-rigid groupwise registration and reconstruction of dynamic MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI End-to-end deep learning of non-rigid groupwise registration and reconstruction of dynamic MRI,

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 93e75e1f-0930-4441-a2fa-1bedd23294f6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 37

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Unavailable: canonical work link unavailable.

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Observation 13ec1967-5555-41a1-b346-26e2b5435482 · outbound

This paper cites Attention is all you need,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Attention is all you need,

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ecdf578f-e805-4386-8fac-29a09dd680aa · outbound

This paper cites Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer,

Reference 39

Resolution
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Source-reported events for the cited work

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Observation c6f505ff-9f26-4779-9fa8-37e0ef83dd41 · outbound

This paper cites Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling,

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dbd56912-eb2c-4b47-a332-af5e4b2f1d9c · outbound

This paper cites 3D U-Net: learning dense volumetric segmentation from sparse annota- tion,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI 3D U-Net: learning dense volumetric segmentation from sparse annota- tion,

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 78f424c0-252c-4b10-a3fe-2ead8b33da57 · outbound

This paper cites Denoising diffusion probabilistic models,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Denoising diffusion probabilistic models,

Reference 42

Resolution
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Source-reported events for the cited work

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Observation 040b158e-55cf-4f32-ad28-8581c66369f6 · outbound

This paper cites Video diffusion models,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Video diffusion models,

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5862522e-1ba7-462e-8f27-cd1f58bcdd44 · outbound

This paper cites Vivit: A video vision transformer,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Vivit: A video vision transformer,

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b66ad9f3-3787-458d-a44d-a08776ca44d8 · outbound

This paper cites Deep residual learning for image recognition,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Deep residual learning for image recognition,

Reference 45

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Unavailable: canonical work link unavailable.

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Observation 34c4948e-3d53-4b4a-81b9-2b4bcdfe92af · outbound

This paper cites Steady-state free precession in nuclear magnetic resonance,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Steady-state free precession in nuclear magnetic resonance,

Reference 46

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b525e9bf-1675-4ee0-9544-15e9cf7990f6 · outbound

This paper cites Optimizing spatiotemporal sampling for k-t BLAST and k-t SENSE: application to high-resolution real-time cardiac steady-state free precession,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Optimizing spatiotemporal sampling for k-t BLAST and k-t SENSE: application to high-resolution real-time cardiac steady-state free precession,

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 578dd16b-31f2-4dff-a38d-ae0ceb780bf0 · outbound

This paper cites Variable density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI Variable density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI,

Reference 48

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e5964da1-96d5-4632-857e-a4d7c7179c1a · outbound

This paper cites PyTorch Image Quality: Metrics and measure for image quality assessment,.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI PyTorch Image Quality: Metrics and measure for image quality assessment,

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 64cb0090-53a8-4693-9b09-36b3039ef540 · outbound

This paper cites PyTorch Image Quality: Metrics for Image Quality Assessment.

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI PyTorch Image Quality: Metrics for Image Quality Assessment

Reference 50

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unresolved
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Unavailable: canonical work link unavailable.

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Pith citing papers

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