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Paper Citation Record · LEDGER

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.07707.

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

pith.paper-citation-record.v1
2507.07707 v1

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measured 54 of 54 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 1197570f-d356-4c6f-9d85-8626639b3bde · outbound

This paper cites Compressed sensing in dynamic mri,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Compressed sensing in dynamic mri,

Reference 1

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Observation ed762995-44c9-4fce-a92b-1e4628e415f5 · outbound

This paper cites Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world,

Reference 2

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Observation 201dced8-a04c-474b-91bb-eb3653387480 · outbound

This paper cites Coded aperture compressive temporal imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Coded aperture compressive temporal imaging,

Reference 3

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Observation c1acc849-d85b-4ca2-ab49-c953099b6767 · outbound

This paper cites Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling,

Reference 4

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Observation e72bd343-42d2-475d-80c8-01ee486e52d3 · outbound

This paper cites Generalized alternating projection based total variation mini- mization for compressive sensing,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Generalized alternating projection based total variation mini- mization for compressive sensing,

Reference 5

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Observation 1f2f2ee9-bd31-44e3-8238-27fbc9163e32 · outbound

This paper cites Snapshot compressive imaging: Theory, algorithms, and applications,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Snapshot compressive imaging: Theory, algorithms, and applications,

Reference 6

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Observation 3f0cdc5a-5041-4274-a248-f54b4c016f87 · outbound

This paper cites Deep learning for video compressive sensing,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Deep learning for video compressive sensing,

Reference 7

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Observation cd9860bd-0599-444c-8e71-d5449f5e18ff · outbound

This paper cites Deep learning for accelerated and robust MRI reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Deep learning for accelerated and robust MRI reconstruction,

Reference 8

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Observation fb8104d4-6c35-4f6d-9b4e-5d0d3e883740 · outbound

This paper cites Untrained neural network priors for inverse imaging prob- lems: A survey,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Untrained neural network priors for inverse imaging prob- lems: A survey,

Reference 9

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Observation a3ca25a3-da7d-4d53-8f57-c79796b8b68d · outbound

This paper cites Understanding untrained deep models for inverse problems: Algorithms and theory,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Understanding untrained deep models for inverse problems: Algorithms and theory,

Reference 10

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Observation 310bee54-ffd7-454b-8cd1-a655c13e3846 · outbound

This paper cites Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective,

Reference 11

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Observation 523b8016-0506-4a1c-93fa-8dcd0a1f5e86 · outbound

This paper cites Deep image prior,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Deep image prior,

Reference 12

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This paper cites Time- dependent deep image prior for dynamic MRI,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Time- dependent deep image prior for dynamic MRI,

Reference 13

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Observation 3a8844a1-3b65-4c63-8147-25acc884b9e2 · outbound

This paper cites Untrained neural nets for snapshot compressive imaging: Theory and algorithms,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Untrained neural nets for snapshot compressive imaging: Theory and algorithms,

Reference 14

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Observation 81aefb54-f204-42c4-99f3-ea73f4fe5ab7 · outbound

This paper cites Hyper- spectral denoising using unsupervised disentangled spatiospectral deep priors,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hyper- spectral denoising using unsupervised disentangled spatiospectral deep priors,

Reference 15

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Observation 0426176f-ee83-45ed-9ea1-9fea69c7627e · outbound

This paper cites Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior,

Reference 16

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Observation 3575d567-0610-4a71-967b-b027020aba43 · outbound

This paper cites Hyperspectral compressive snapshot reconstruction via coupled low-rank subspace representation and self-supervised deep network,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hyperspectral compressive snapshot reconstruction via coupled low-rank subspace representation and self-supervised deep network,

Reference 17

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Observation 4cb33b46-d631-45b5-9437-6ce2dbde4a89 · outbound

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Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Implicit neural representations with periodic activation functions,

Reference 18

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Observation 308c4e8d-fd6a-4f67-81c5-748bdbbe4e62 · outbound

This paper cites Coil: Coordinate-based internal learning for tomographic imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Coil: Coordinate-based internal learning for tomographic imaging,

Reference 19

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Observation 63e2a09f-9179-4cd6-b1ea-d9079299a18a · outbound

This paper cites Nerp: Implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- tion,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Nerp: Implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- tion,

Reference 20

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Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Neural tangent kernel: conver- gence and generalization in neural networks,

Reference 21

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Observation 533319f9-e66b-41f4-b261-941432d3c41e · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 22

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Observation b12cc69e-88e7-453c-a31b-009b37adb736 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Instant neural graphics primitives with a multiresolution hash encoding,

Reference 23

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Observation 2838e6c6-092b-45cb-b747-02695c7b6e60 · outbound

This paper cites Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction,

Reference 24

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Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Tensor decompositions and applications,

Reference 25

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This paper cites Hand- held snapshot multi-spectral camera at tens-of-megapixel resolution,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hand- held snapshot multi-spectral camera at tens-of-megapixel resolution,

Reference 26

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Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Plug-and-play algorithms for video snapshot compressive imaging,

Reference 27

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Observation db72fc33-0626-4790-8b31-d4aed3d71146 · outbound

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Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Rank minimization for snapshot compressive imaging,

Reference 28

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This paper cites s2s2-transformer for mask-aware hyperspectral image reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding s2s2-transformer for mask-aware hyperspectral image reconstruction,

Reference 29

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Observation b5286883-000a-4c4c-8e4c-b5e905dae9b7 · outbound

This paper cites Hybrid cnn-transformer ar- chitecture for efficient large-scale video snapshot compressive imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hybrid cnn-transformer ar- chitecture for efficient large-scale video snapshot compressive imaging,

Reference 30

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Observation 341430d6-a195-4bf6-9791-4f3f7df6b3cb · outbound

This paper cites Dual prior unfolding for snapshot compressive imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Dual prior unfolding for snapshot compressive imaging,

Reference 31

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Observation 979a7d19-ce69-4a57-803a-efeff465ddbd · outbound

This paper cites Snapshot compressive imaging using domain-factorized deep video prior,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Snapshot compressive imaging using domain-factorized deep video prior,

Reference 32

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Observation 77796ace-be72-4b5e-88e1-7b7fe4e02a1a · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Diffusion posterior sampling for general noisy inverse problems,

Reference 33

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Observation 9d8fe3ae-d698-47ad-aa8e-6e6e8be18cdc · outbound

This paper cites Hir-diff: Unsupervised hyperspectral image restoration via improved diffusion models,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hir-diff: Unsupervised hyperspectral image restoration via improved diffusion models,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:09.488742Z digest=sha256:df8cbddc16613aa405ddc49921894a0390c1424e7fbb0682ddf82010992b3e6c

Observation 7113175c-3d58-4f7e-9c4b-262b997dc12e · outbound

This paper cites Dds2m: Self-supervised de- noising diffusion spatio-spectral model for hyperspectral image restora- tion,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Dds2m: Self-supervised de- noising diffusion spatio-spectral model for hyperspectral image restora- tion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:16.594268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:09.622147Z digest=sha256:5e20c586982e102cd57d1f56b5ce0118376f8f68f9c6091821e7f390e68a467e

Observation 64b56526-35a2-432d-82e6-58189c1eeadf · outbound

This paper cites Hlrtf: Hierarchical low- rank tensor factorization for inverse problems in multi-dimensional imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hlrtf: Hierarchical low- rank tensor factorization for inverse problems in multi-dimensional imaging,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:16.358335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:09.740786Z digest=sha256:d8ea98380669f86f4ce7dc8dd9bc6799514d72008c249ad58bcfd98a4a834d8a

Observation 88e27b7d-1bae-4583-a5b5-05ef30a23089 · outbound

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

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Convolutional recurrent neural networks for dynamic mr image reconstruction,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:16.150976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:09.894002Z digest=sha256:0323f8cf4122e460c4ffda395b4f6023312ea8a013cadf6a69808c999ff044dc

Observation 5ec06bc6-c111-4818-bdb7-e57964514d53 · outbound

This paper cites Deep low-rank plus sparse network for dynamic mr imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Deep low-rank plus sparse network for dynamic mr imaging,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:15.889507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:09.977285Z digest=sha256:bf4d36073a41decda23fceb5f80f214f9e16051212bad7d40e97444fd80c16b7

Observation 3d364a42-e039-4354-9881-5fb93d0953ee · 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,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding 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 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:15.590313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.107722Z digest=sha256:f5e9cae70e1b87292b365af9ab110a2614138d78c67d0561f8aa73c6934b3d97

Observation 1b155c21-9238-4fd4-be35-a19f140aa3eb · outbound

This paper cites Neural implicit k-space for binning-free non-cartesian cardiac mr imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Neural implicit k-space for binning-free non-cartesian cardiac mr imaging,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:15.339518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.254726Z digest=sha256:75a3a719fa644ded1eb3c11486f0ecfa15c78fb3c3895cc80a791bfe1b45a5b7

Observation c594f2fc-1068-4cc9-9753-f292dda15ab4 · outbound

This paper cites Implicit neural networks with fourier-feature inputs for free-breathing cardiac MRI reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Implicit neural networks with fourier-feature inputs for free-breathing cardiac MRI reconstruction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:14.995439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.393522Z digest=sha256:9d060ce17954b12313398ba531876776d537d49bde31149964619a239e458179

Observation 9a9236ff-c8b9-48c1-95a1-3fe2f2a38a0d · outbound

This paper cites Hyperspectral image denoising using spatio-spectral total variation,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hyperspectral image denoising using spatio-spectral total variation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:14.715241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.510730Z digest=sha256:a93a24ee6398fad0887321828f812422f4ce1a72234eb204f4407692cd3209fd

Observation 2bf5c4b8-8338-4cd0-9000-290390804d3d · outbound

This paper cites Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:14.470514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.638080Z digest=sha256:fe7c7f03cae1a43ba1f1ea6a7176cdd3808dc8e932239cbef6b28eb3cd11b2a1

Observation 5646739b-c4e6-4313-ae61-07afab1b7e14 · outbound

This paper cites Self-supervised neural networks for spectral snapshot compressive imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Self-supervised neural networks for spectral snapshot compressive imaging,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:13.985412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.807033Z digest=sha256:30166e563fb6cd8efecb9435308e18d3a985ec78ee32ce2e09854cb7706b5a5d

Observation e36d6721-7711-4f19-8d0b-c088f506714f · outbound

This paper cites Blind video temporal consistency via deep video prior,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Blind video temporal consistency via deep video prior,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:13.568358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:10.924698Z digest=sha256:acb618c3bec9ba7ce565631ea7fffa44021d7e66027cdcd477e98df83756c178

Observation f66ef8b3-e8a6-48cb-b436-b48c3d171a52 · outbound

This paper cites High- quality hyperspectral reconstruction using a spectral prior,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding High- quality hyperspectral reconstruction using a spectral prior,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:13.415616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.067145Z digest=sha256:0160028b375637c00b10521b74c35e5a1c03da4d1a8e151e065dc7c1be6ce222

Observation c3b70725-3bbf-40a4-820f-c7704d41be34 · outbound

This paper cites Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:13.267693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.160977Z digest=sha256:06eb7c3509567208a0e84b7acd95684429d31fe7b9aa6e7a5829a46c4b1431f6

Observation 92af04c7-4d6b-40e4-be86-b78e18f29102 · outbound

This paper cites lambda-net: Reconstruct hyperspectral images from a snapshot measurement,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding lambda-net: Reconstruct hyperspectral images from a snapshot measurement,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:13.159221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.292453Z digest=sha256:40d8fa450e4c3d4e5f10f4ab53a24add29c0c975ffeada334a7469ea4fadd1e1

Observation a1ca9080-8373-4c58-84b0-8f84c59c655c · outbound

This paper cites Hdnet: High-resolution dual-domain learning for spectral compressive imaging,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Hdnet: High-resolution dual-domain learning for spectral compressive imaging,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:12.983790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.500836Z digest=sha256:48a99506c07768183e6cd9bfffae5da7cc09473c946cbbe52dae002ba7c3827a

Observation c8adf395-6ebb-4373-a4db-3ef18d1bd626 · outbound

This paper cites End-to-end low cost compressive spectral imaging with spatial-spectral self-attention,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding End-to-end low cost compressive spectral imaging with spatial-spectral self-attention,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:12.850207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.678845Z digest=sha256:0a8a7014d1574db0cd0156f828aac7a0046a2b0d3e81f09b57df292159971ea1

Observation d80a51ee-bdce-4813-982a-ee70c54e3ce9 · outbound

This paper cites Coarse-to-fine sparse transformer for hyperspectral image reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Coarse-to-fine sparse transformer for hyperspectral image reconstruction,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:12.690352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.825591Z digest=sha256:7e85990ea531f082aac40bd29c052560cda3d6f2d122f5158a1da4d99f55cff7

Observation ba10f0d7-bea1-4445-aa79-190c6e97707b · outbound

This paper cites Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:12.564716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:11.947288Z digest=sha256:0e866a31026aab39293345a91bb192307a9560ded384f2393f57a454e085d8ae

Observation 9b83b3cd-ba36-4c9e-984a-45def154ca31 · outbound

This paper cites OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:43:12.036250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:43:12.036250Z digest=sha256:070df7f7354b649f5a6e6d8f11fe1fe70abb9da8d8e9450caba9c3f1823e8b24

Observation 65d272c7-221b-4f75-b7ee-9059362e7602 · outbound

This paper cites Espirit—an eigenvalue approach to autocalibrating parallel MRI: Where sense meets grappa,.

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding Espirit—an eigenvalue approach to autocalibrating parallel MRI: Where sense meets grappa,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:43:12.417200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T18:43:12.088180Z digest=sha256:015446392ad897ab317ba6037397a0ff1a35d8e1b7ec52d7d5eec0300de08cc1

Pith citing papers

No inbound Pith citation observations are available.