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Paper Citation Record · LEDGER

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction

As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.10309.

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

pith.paper-citation-record.v1
2506.10309 v1

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation 791eebaa-bd41-4360-838c-6b5f174570e5 · outbound

This paper cites Integrated MRI-guided radiotherapy—opportunities and challenges,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Integrated MRI-guided radiotherapy—opportunities and challenges,

Reference 1

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Observation 9e8a88fc-589f-4c6f-80fb-2c50028a0240 · outbound

This paper cites Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging,

Reference 2

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Observation 5eec1ee6-400f-467c-8742-bac7d0d69e8e · outbound

This paper cites Sparse MRI: The application of compressed sensing for rapid MR imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Sparse MRI: The application of compressed sensing for rapid MR imaging,

Reference 3

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This paper cites Model-based image reconstruction for MRI,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Model-based image reconstruction for MRI,

Reference 4

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Observation f8e1defa-760d-4b21-a161-f0c7a467a36c · outbound

This paper cites RARE: Image reconstruction using deep priors learned without groundtruth,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction RARE: Image reconstruction using deep priors learned without groundtruth,

Reference 5

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This paper cites Optimization methods for magnetic resonance image reconstruction: Key models and optimization algorithms,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Optimization methods for magnetic resonance image reconstruction: Key models and optimization algorithms,

Reference 6

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Observation bc80c0eb-a69c-4b3f-8acf-28eaf45c4627 · outbound

This paper cites Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints,

Reference 7

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Observation afa3d5a7-2f03-401f-9c25-17fe7fa8bc31 · outbound

This paper cites Low-rank modeling of localk-space neighborhoods (LO- RAKS) for constrained MRI,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Low-rank modeling of localk-space neighborhoods (LO- RAKS) for constrained MRI,

Reference 8

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Observation a5d997d6-0006-461b-8d49-5f05ba3aa484 · outbound

This paper cites Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors,

Reference 9

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Observation 3ab932c3-22be-4de7-8faa-c61670490bc9 · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Reducing the dimensionality of data with neural networks,

Reference 10

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Observation ab68a915-3c5f-422c-a9f5-4c580cdb8adf · outbound

This paper cites Deep learning,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Deep learning,

Reference 11

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Observation c186ebd5-a21a-447e-9922-beafe8994fa9 · outbound

This paper cites Artificial intelligence in healthcare,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Artificial intelligence in healthcare,

Reference 12

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Observation c75757dc-b843-4e52-8529-bb001a0ff872 · outbound

This paper cites Deep magnetic resonance image reconstruction: Inverse problems meet neural networks,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Deep magnetic resonance image reconstruction: Inverse problems meet neural networks,

Reference 13

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Observation 2dc92e4b-de04-41ac-888e-5704be99c9bf · outbound

This paper cites Dense recurrent neural networks for accelerated MRI: History- cognizant unrolling of optimization algorithms,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Dense recurrent neural networks for accelerated MRI: History- cognizant unrolling of optimization algorithms,

Reference 14

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Observation a9d7fdb2-3a81-45d2-a4d5-4350868dd2e6 · outbound

This paper cites Geometric approaches to increase the expressivity of deep neural networks for MR reconstruction,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Geometric approaches to increase the expressivity of deep neural networks for MR reconstruction,

Reference 15

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Observation d3151864-252e-4bc1-bd14-85510da74f52 · outbound

This paper cites High-throughput deep unfolding network for compressive sensing MRI,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction High-throughput deep unfolding network for compressive sensing MRI,

Reference 16

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Observation b453798b-b471-4867-931c-b478fc56b34d · outbound

This paper cites AI-based reconstruction for fast MRI—A systematic review and meta-analysis,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction AI-based reconstruction for fast MRI—A systematic review and meta-analysis,

Reference 17

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Observation 2b809a31-ad35-44ff-a252-b2ee965d26ce · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Convolutional recurrent neural networks for dynamic MR image reconstruction,

Reference 18

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Observation 98907fa1-3eac-41bc-9580-b77663254314 · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Cinenet: deep learning-based 3d cardiac CINE MRI reconstruction with multi- coil complex-valued 4d spatio-temporal convolutions,

Reference 19

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Observation 2822e672-1100-4bdc-8c24-8cb208e0b2b8 · outbound

This paper cites J-modl: Joint model-based deep learning for optimized sampling and reconstruction,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction J-modl: Joint model-based deep learning for optimized sampling and reconstruction,

Reference 20

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Observation f84d84de-e681-4a78-ad24-6c1fdd07a314 · outbound

This paper cites Souza, Y.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Souza, Y

Reference 21

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Observation abe5f526-d8bd-4fa2-a7ba-252e9cbafdce · outbound

This paper cites A deep learning method for optimal undersampling patterns and image recovery for MRI exploiting losses and projections,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction A deep learning method for optimal undersampling patterns and image recovery for MRI exploiting losses and projections,

Reference 22

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Observation fcf9ef69-968e-4cef-a264-cb8456710f39 · outbound

This paper cites PUERT: Probabilistic under- sampling and explicable reconstruction network for CS-MRI,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction PUERT: Probabilistic under- sampling and explicable reconstruction network for CS-MRI,

Reference 23

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Observation 128b4a59-7cc1-45f3-a8f2-462588a34a72 · outbound

This paper cites Going deeper with convolutions,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Going deeper with convolutions,

Reference 24

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Observation 953d6972-aaeb-4c4b-9492-02986f9d61e7 · outbound

This paper cites Group equivariant convolutional networks,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Group equivariant convolutional networks,

Reference 25

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Observation f64758dd-6df5-4244-8cd6-e1f36df64f8f · outbound

This paper cites Dense steerable filter CNNs for exploiting rotational symmetry in histology images,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Dense steerable filter CNNs for exploiting rotational symmetry in histology images,

Reference 26

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This paper cites Roto-translation equivariant convolutional networks: Application to histopathology image analysis,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Roto-translation equivariant convolutional networks: Application to histopathology image analysis,

Reference 27

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DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction General e (2)-equivariant steerable CNNs,

Reference 28

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This paper cites Dicdnet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Dicdnet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images,

Reference 29

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This paper cites Fourier series expansion based filter parametrization for equivariant convolutions,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Fourier series expansion based filter parametrization for equivariant convolutions,

Reference 30

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This paper cites Learning steerable filters for rotation equivariant CNNs,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Learning steerable filters for rotation equivariant CNNs,

Reference 31

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DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Scale equivariant graph metanetworks,

Reference 32

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DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Geometric deep learning and equivariant neural networks,

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d37d929d-5a6c-4fca-a358-30bde8f5b205 · outbound

This paper cites Imaging with equivariant deep learning: From unrolled network design to fully unsupervised learning,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Imaging with equivariant deep learning: From unrolled network design to fully unsupervised learning,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e6f67154-5082-460a-91d1-71892ab9d2d6 · outbound

This paper cites SRE- CNN: A spatiotemporal rotation-equivariant CNN for cardiac cine MR imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction SRE- CNN: A spatiotemporal rotation-equivariant CNN for cardiac cine MR imaging,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:48.890523Z digest=sha256:99efa016bcfed81950a06c4333c1861bdc6051c120140d4cf23ffee6e377f08c

Observation 66411752-0d55-4274-89ee-efab84c32297 · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging

Reference 36

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unresolved
no resolver link, observed 2026-08-07T04:37:48.962958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:48.962958Z digest=sha256:464c590b4aa126290c2c5cf9b4820a15f31cc81adcc47f93f7b037c63de5c457

Observation 4c4a7039-eb93-4957-b487-b15c10552209 · outbound

This paper cites Pdo-econvs: Partial differential operator based equivariant convolutions,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Pdo-econvs: Partial differential operator based equivariant convolutions,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.002096Z digest=sha256:837438a8f704fd402d2672fa0db597fa16748e6a55ea69eb66eefb12f74c7fe1

Observation 16418fec-c131-4ce2-abb3-fe6209a3ec2a · outbound

This paper cites A program to build e (n)-equivariant steerable CNNs,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction A program to build e (n)-equivariant steerable CNNs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:54.586142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.064616Z digest=sha256:085e0e975eac757bfb01102e8445f7db90cf04139624323c71943dba8e7ed2aa

Observation a75de6e4-8f49-4e2e-9469-7cc8a9b21a23 · outbound

This paper cites Hexaconv,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Hexaconv,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:54.402501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.131007Z digest=sha256:01b0ec89eec2db9eab36612046213ba184ce54cca08be851aa195de72679342e

Observation b5dca9a1-43c5-491f-b597-c61fe29f8e40 · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Harmonic networks: Deep translation and rotation equivariance,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:49.187929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:49.187929Z digest=sha256:0d7bff93ee0ebe3106180f43e1ea7a50ff9c93660937e1eaad4c423eb0f47625

Observation 9ead88e6-baf4-4cef-a8b4-2a6a48bca7d6 · outbound

This paper cites Cubenet: Equivariance to 3d rotation and translation,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Cubenet: Equivariance to 3d rotation and translation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:54.199535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.257371Z digest=sha256:5e7bee551e31b53921e403d34b8082d942d041436c86e3760053666dbc7e1154

Observation 2e4dd77a-fe81-4d89-97a5-c3e8156a7a96 · outbound

This paper cites Spherical CNNs,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Spherical CNNs,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:54.123843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.308848Z digest=sha256:436fbf60457db508fa5504a1e9d589966db1b3ccc1daa9f7accef5d1b5467ce3

Observation f244035a-3e03-4d19-b678-64055943f557 · outbound

This paper cites ADMM-csnet: A deep learning approach for image compressive sensing,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction ADMM-csnet: A deep learning approach for image compressive sensing,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.960061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.337032Z digest=sha256:f8248a2a4a384003ac3232d545e83b3c84bd7f6a46b88a29a54149a09dbcd919

Observation 3215befa-ebd2-46ca-9745-5adb60a87677 · outbound

This paper cites ISTA-net: Interpretable optimization-inspired deep network for image compressive sensing,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction ISTA-net: Interpretable optimization-inspired deep network for image compressive sensing,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.804072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.424924Z digest=sha256:0705be5fbef1ef9c83172b44609a2929e13b113f2a40034cd8b1b80ecdb2f11f

Observation 052fe9fe-2bd8-4ebe-a8d7-e08cfdd1e4f7 · outbound

This paper cites Learning a variational network for reconstruction of accelerated mri data,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Learning a variational network for reconstruction of accelerated mri data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.628438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.490582Z digest=sha256:8c3429508c20357a99f26812aea507e2151df19513218699525f15af1bf36949

Observation 9e423c89-902c-4ab3-a3f2-921302f3b3c3 · outbound

This paper cites Cascaded dilated dense network with two-step data consistency for MRI reconstruction,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Cascaded dilated dense network with two-step data consistency for MRI reconstruction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.498359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3646dd21-4c02-4947-adc9-795cadfe7d4e · outbound

This paper cites Transms: Transformers for super-resolution calibration in magnetic particle imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Transms: Transformers for super-resolution calibration in magnetic particle imaging,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.303535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.600518Z digest=sha256:257f2862528d969c8efad7263c0b8116aeff8a8d528676880c77c063a65973c1

Observation 5fb2fee5-d126-4302-bd3d-57a17786392a · outbound

This paper cites High-fidelity MRI reconstruction using adaptive spatial attention selection and deep data consistency prior,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction High-fidelity MRI reconstruction using adaptive spatial attention selection and deep data consistency prior,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:53.066004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.658954Z digest=sha256:a78df83647be5431568e2841d757ea308951cf3087c76bd8a388bd7ec317f878

Observation c9e7320d-84a5-4ac2-8d97-8a782308991b · outbound

This paper cites DEQ-MPI: A deep equilibrium reconstruction with learned consistency for magnetic particle imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction DEQ-MPI: A deep equilibrium reconstruction with learned consistency for magnetic particle imaging,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.903942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation efbb10f1-86e8-4ca7-9619-09d304a59ed3 · outbound

This paper cites an unresolved cited work.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:49.759286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:49.759286Z digest=sha256:9b87fe4c396a84a2bb29c2ed53aa8079eab52511a3e42db15fdc8764e1617632

Observation cec69f23-eef3-4fae-ac32-8ef472ccccde · outbound

This paper cites Plug-and-play methods for magnetic res- onance imaging: Using denoisers for image recovery,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Plug-and-play methods for magnetic res- onance imaging: Using denoisers for image recovery,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.716753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.827944Z digest=sha256:c25b5b3a808bfc1f79185bb7be7475bc8a553a57b3bb35aae5f4ae7b1dc762e0

Observation db24fedb-1c2b-43ca-b42c-137c1d5043d7 · outbound

This paper cites Learning data consistency and its application to dynamic MR imaging,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Learning data consistency and its application to dynamic MR imaging,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.583470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.892426Z digest=sha256:a67e01ea00e6ca03310c771c6870bd00386a83658ec04cc1d1267e7de2269036

Observation 2d01adf4-302d-45d8-94ed-268b1b8408e8 · outbound

This paper cites Equivariant neural networks for inverse problems,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Equivariant neural networks for inverse problems,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.343918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:49.945451Z digest=sha256:177be1da386ee810ceb86be93ce692eb7f57544fefd6c2ce539c5b89f9dcfecf

Observation ffb2d01f-6ecb-4fbd-9144-98a2f3b460ec · outbound

This paper cites Scale-equivariant unrolled neural networks for data-efficient accelerated MRI reconstruction,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Scale-equivariant unrolled neural networks for data-efficient accelerated MRI reconstruction,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.161543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.028324Z digest=sha256:0d0354681d6444c434a0cc69415540af4f445947ee2a3687bfd0d5fa855067e4

Observation cc29c054-f1b2-4594-b519-8f07de8dffc1 · outbound

This paper cites Rotation equivariant proximal operator for deep unfolding methods in image restoration,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Rotation equivariant proximal operator for deep unfolding methods in image restoration,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:52.063486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.089301Z digest=sha256:04d9b5577098ec01b9ae95108e588d7e621dd28515557862617788259eca3eee

Observation 925b5a49-2a10-47bb-8192-a0be4ae9b2e3 · outbound

This paper cites Proximal algorithms,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Proximal algorithms,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:50.166774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:50.166774Z digest=sha256:d71cb388f2cc29f412de907fdf3e7090c3ab6ea2971a1087d8c42db75d747d26

Observation 56b3bebb-e7fd-4980-b818-87dde4c532ff · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction A closer look at spatiotemporal convolutions for action recognition,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:50.248633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:50.248633Z digest=sha256:52ae41293341575b9cd190c13099b7612d01e434d65f5fd10adc3341837ac79e

Observation d586bb85-44a4-4b68-a08a-c5aaa601c003 · outbound

This paper cites Vari- able density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac mri,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Vari- able density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac mri,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.878037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 11f56aa3-5f9f-4d23-a4de-5aff2ded7f72 · outbound

This paper cites Espirit—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Espirit—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.739508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.395988Z digest=sha256:3901ab427061c8d9e8711a6b8b033fa8e915f3c14a09f765387223e5fbb054fd

Observation e28d03b0-613d-4ead-b58c-f63beb00f307 · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Image quality assessment: from error visibility to structural similarity,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:50.489421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:50.489421Z digest=sha256:361e298118e094b179ae67472a179fcd3dcdeb1207bbc97f89fe27c30abce56d

Observation d9096b16-8683-4071-982f-38a86fc07108 · outbound

This paper cites MR image reconstruction from highly undersampled k-space data by dictionary learning,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction MR image reconstruction from highly undersampled k-space data by dictionary learning,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.567759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 54b9518b-10c9-449c-9f09-1aa33f27b9ed · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.404507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.598351Z digest=sha256:250549c842b42400262b2715b471d78a9eb111ed62fb088cd3d06c9f1bb7f75d

Observation 580f6411-9faa-4da7-bb53-57ddc0eef4a8 · outbound

This paper cites Modl: Model-based deep learning architecture for inverse problems,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Modl: Model-based deep learning architecture for inverse problems,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:50.656193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:50.656193Z digest=sha256:151f6873a286346c0335622e17b328d3e27b38b095b02c5f946c0f602bd1b25a

Observation 66605a76-799a-4e5a-ad98-2a83927a9083 · outbound

This paper cites Accelerating cardiac cine MRI using a deep learning-based espirit reconstruction,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Accelerating cardiac cine MRI using a deep learning-based espirit reconstruction,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.228152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.717955Z digest=sha256:b9481dd0e6accd70599ffa6f3e7350e98db27a9b5dbad262ad5ba73a93358e62

Observation 983a7872-9b81-45b1-8155-f1bf7ce39312 · outbound

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

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Deep low-rank plus sparse network for dynamic MR imaging,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:51.083015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.772718Z digest=sha256:0e82085f5839d41b27c36d0adee156867a32c79ba963954ca9354a1961159669

Observation b3812cbc-cce4-4f51-b61b-87ef38755b5c · outbound

This paper cites Unrolled and rapid motion-compensated reconstruction for cardiac cine MRI,.

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Unrolled and rapid motion-compensated reconstruction for cardiac cine MRI,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:50.952969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:37:50.836523Z digest=sha256:2fc9899de45cda2b23fc5e812c0a5bd29cf497ffac06403fd5dd548bbe350a58

Pith citing papers

No inbound Pith citation observations are available.