Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction | Paper Citation Record

Observation 2e792a3f-5105-461c-8aa0-f7f0ed3a4627 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Simultaneous acquisition of spatial harmonics (smash): fast imaging with radiofrequency coil arrays,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.153789Z

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Observation 02560713-5d5a-4e52-9322-0bf7a736cb0a · outbound

This paper cites Sense: Sensitivity encoding for fast mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Sense: Sensitivity encoding for fast mri,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.136555Z

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Observation c12d4562-97e1-481f-9467-c62f0bf8056a · outbound

This paper cites Generalized autocalibrating par- tially parallel acquisitions (grappa),.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Generalized autocalibrating par- tially parallel acquisitions (grappa),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.120151Z

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Observation b090ed1c-1cf6-4253-835c-77460ad76220 · outbound

This paper cites Sparse mri: The application of compressed sensing for rapid mr imaging,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Sparse mri: The application of compressed sensing for rapid mr imaging,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.103417Z

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Observation 38050fc1-39cb-44da-8e3e-dada2acd7eb4 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Accelerated dynamic mri exploiting sparsity and low-rank structure: kt slr,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.084392Z

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Observation 3b957544-699d-4d6f-9342-27c0e9e23435 · outbound

This paper cites High-resolution cardiovascular mri by integrating parallel imaging with low-rank and sparse modeling,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction High-resolution cardiovascular mri by integrating parallel imaging with low-rank and sparse modeling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.063226Z

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Observation d67a4880-cf65-4004-b3a6-a92c137f1484 · outbound

This paper cites Low-rank modeling of local k-space neighborhoods (loraks) for constrained mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Low-rank modeling of local k-space neighborhoods (loraks) for constrained mri,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.039947Z

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Observation 0d917408-3b1d-49f8-876e-7f6fb6d266f6 · outbound

This paper cites Compressive sensing via nonlocal low-rank regularization,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Compressive sensing via nonlocal low-rank regularization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.019272Z

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Observation 002634d8-4abd-45aa-a54b-f75166355fdd · outbound

This paper cites Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:15.000352Z

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Observation c99c0670-f86d-477e-95f6-7b62884551f9 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Low-rank plus sparse matrix decomposition for accelerated dynamic mri with separation of background and dynamic components,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.982100Z

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Observation a04285d2-7ddb-4330-944b-10d31f65623c · outbound

This paper cites Accelerating parameter mapping with a locally low rank constraint,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Accelerating parameter mapping with a locally low rank constraint,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.955257Z

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Observation 6f690c91-b56e-4e5b-bfa1-205b7ef7dc39 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Accelerated high-dimensional mr imaging with sparse sampling using low-rank tensors,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.936603Z

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Observation d45767aa-cbea-4bc2-a67a-4a3860725f2d · outbound

This paper cites Accelerating magnetic resonance imaging via deep learning,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Accelerating magnetic resonance imaging via deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.919343Z

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Observation ac7b847c-c224-4c88-8d86-ddd55ff46390 · outbound

This paper cites Deep admm-net for compres- sive sensing mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Deep admm-net for compres- sive sensing mri,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.901874Z

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Observation b376540a-a9fe-4758-9d6c-54f14e978521 · outbound

This paper cites Dagan: Deep de-aliasing generative adversarial networks for fast compressed sensing mri reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Dagan: Deep de-aliasing generative adversarial networks for fast compressed sensing mri reconstruction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.884955Z

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Observation 35c16c1d-c9bd-4bc2-b4b7-3206418a022c · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Modl: Model-based deep learning architecture for inverse problems,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.589530Z

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Observation a6ac0b33-a76a-4998-bdf5-be46f14fea05 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Learning a variational network for reconstruction of accelerated mri data,

Reference 17

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Observation a45878e0-4415-41bc-8b0e-7fa55c041fd4 · outbound

This paper cites Kiki-net: cross- domain convolutional neural networks for reconstructing undersampled magnetic resonance images,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Kiki-net: cross- domain convolutional neural networks for reconstructing undersampled magnetic resonance images,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.846442Z

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Observation ed8f5350-b506-4cc4-823c-ae94799b721d · outbound

This paper cites Image reconstruction by domain-transform manifold learning,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Image reconstruction by domain-transform manifold learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.827567Z

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Observation 27e9940f-f441-4232-9e08-2fdc434c8e10 · outbound

This paper cites Santis: sampling-augmented neural network with incoherent structure for mr image reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Santis: sampling-augmented neural network with incoherent structure for mr image reconstruction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.808939Z

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Observation 240a993c-8a75-4eb2-a431-f11de9019d9f · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Plug-and-play methods for magnetic res- onance imaging: Using denoisers for image recovery,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.615039Z

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Observation d582a3f3-29ff-456d-9ba0-cfd8175853ba · outbound

This paper cites Scan- specific robust artificial-neural-networks for k-space interpolation (raki) reconstruction: Database-free deep learning for fast imaging,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Scan- specific robust artificial-neural-networks for k-space interpolation (raki) reconstruction: Database-free deep learning for fast imaging,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.779141Z

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Observation 866aed90-3205-45ea-8ba8-5a4fbb37a880 · outbound

This paper cites End-to-end variational net- works for accelerated mri reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction End-to-end variational net- works for accelerated mri reconstruction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.761251Z

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Observation 7693c9c4-3e67-44a3-ac05-2a7acfff134b · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction A deep cascade of convolutional neural networks for dynamic mr image reconstruction,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.630725Z

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Observation ee3a16bc-20df-416e-adb9-4d2a8e5138a5 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Convolutional recurrent neural networks for dynamic mr image reconstruction,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.635939Z

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Observation 3398c563-b438-4149-991e-fc2d5b87ae67 · outbound

This paper cites Complemen- tary time-frequency domain networks for dynamic parallel mr image reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Complemen- tary time-frequency domain networks for dynamic parallel mr image reconstruction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.720809Z

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Observation e16ad07c-bed0-4fd7-8eaf-8e8732b8f842 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Cinenet: deep learning-based 3d cardiac cine mri reconstruction with multi- coil complex-valued 4d spatio-temporal convolutions,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.650620Z

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Observation 7595d538-b0b1-498e-bb23-598ee4c13e88 · outbound

This paper cites Prior-guided image reconstruction for accelerated multi-contrast mri via generative adversarial networks,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Prior-guided image reconstruction for accelerated multi-contrast mri via generative adversarial networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.658836Z

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Observation 8d9cdd89-f520-4485-8762-a0b1c59c2a65 · outbound

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

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Time- dependent deep image prior for dynamic mri,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.681064Z

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Observation b38a55f0-f5dd-4771-975f-aba47ff89b4d · outbound

This paper cites Real-time cardiac mri using an undersampled spiral k-space trajectory and a reconstruction based on a variational network,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Real-time cardiac mri using an undersampled spiral k-space trajectory and a reconstruction based on a variational network,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.662976Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 201c5da5-495d-4a8d-9f1e-dc5c2a4a34df · outbound

This paper cites Camp-net: Consistency-aware multi- prior network for accelerated mri reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Camp-net: Consistency-aware multi- prior network for accelerated mri reconstruction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.645146Z

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Observation 52c514ea-8fc2-45a7-b630-eaab6cca70be · outbound

This paper cites A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.625967Z

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Observation d2f8720f-2dbb-4831-9e13-b1155e4851c6 · outbound

This paper cites Unsupervised reconstruction of accelerated car- diac cine mri using neural fields,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Unsupervised reconstruction of accelerated car- diac cine mri using neural fields,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.607001Z

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Observation 29293170-a201-4e73-8d78-764bd4f4ce78 · outbound

This paper cites Mantis: model-augmented neural network with incoherent k-space sampling for efficient mr parameter mapping,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Mantis: model-augmented neural network with incoherent k-space sampling for efficient mr parameter mapping,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.588407Z

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Observation b8aad3dd-c4e5-41ce-bce7-db764e933682 · outbound

This paper cites High-performance rapid mr parameter mapping using model-based deep adversarial learning,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction High-performance rapid mr parameter mapping using model-based deep adversarial learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.568087Z

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Observation 455cc316-a659-4df3-be3e-61bc1cc6451e · outbound

This paper cites Magnetic resonance parameter mapping using model-guided self-supervised deep learning,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Magnetic resonance parameter mapping using model-guided self-supervised deep learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.551708Z

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Observation 31326e09-91cb-4586-aed5-45fc15a0df56 · outbound

This paper cites Deep model-based magnetic resonance parameter mapping network (dopamine) for fast t1 mapping using variable flip angle method,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Deep model-based magnetic resonance parameter mapping network (dopamine) for fast t1 mapping using variable flip angle method,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.535010Z

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Observation b321d5e6-de17-4aeb-8ccf-974d0d6bc855 · outbound

This paper cites Improving quantitative mri using self- supervised deep learning with model reinforcement: Demonstration for rapid t1 mapping,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Improving quantitative mri using self- supervised deep learning with model reinforcement: Demonstration for rapid t1 mapping,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.517678Z

Source-reported events for the cited work

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Observation b2127fd8-e3ed-46b7-87e4-c79729823ddf · outbound

This paper cites Zero-deepsub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative mri using 3d-qalas,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Zero-deepsub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative mri using 3d-qalas,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.500975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a2e9f81-dfca-4080-96b7-41e5e924316e · outbound

This paper cites Denoising diffusion probabilistic models,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Denoising diffusion probabilistic models,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.727518Z

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Observation 25219461-111a-45bb-965b-433d925e26fa · outbound

This paper cites Improved denoising diffusion proba- bilistic models,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Improved denoising diffusion proba- bilistic models,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.472163Z

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Observation 4dade92c-0cd6-4cc5-9c2f-dd566a428993 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Diffusion models beat gans on image synthesis,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.739578Z

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Observation 273471f6-35bd-4a04-a987-47919cd56dd7 · outbound

This paper cites Score-based diffusion models for accelerated mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Score-based diffusion models for accelerated mri,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.443307Z

Source-reported events for the cited work

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Observation 02db7b6c-9807-440d-908f-51f970efb0c6 · outbound

This paper cites Come-closer-diffuse-faster: Accelerat- ing conditional diffusion models for inverse problems through stochastic contraction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Come-closer-diffuse-faster: Accelerat- ing conditional diffusion models for inverse problems through stochastic contraction,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.426307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f81c96bd-48a7-4378-aa59-b8e977007156 · outbound

This paper cites Adaptive diffusion priors for accelerated mri reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Adaptive diffusion priors for accelerated mri reconstruction,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.756540Z

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Observation ef8f2db4-ba66-456d-b5c4-ff5e7e5a1ac4 · outbound

This paper cites Bayesian mri reconstruction with joint uncertainty estimation using diffusion models,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Bayesian mri reconstruction with joint uncertainty estimation using diffusion models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.397826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 61a41fd6-3115-4873-bfdd-63745b6af02d · outbound

This paper cites Diffusion modeling with domain-conditioned prior guidance for accelerated mri and qmri reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Diffusion modeling with domain-conditioned prior guidance for accelerated mri and qmri reconstruction,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.381434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc5844cd-8c14-41a7-b58d-775d648df88a · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Diffbir: Toward blind image restoration with generative diffusion prior,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.364369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bf63815-9f8a-4381-80ff-ebad21a80930 · outbound

This paper cites k-t grappa: A k-space implementation for dynamic mri with high reduction factor,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction k-t grappa: A k-space implementation for dynamic mri with high reduction factor,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.347349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa725d7f-ffcc-48de-bf71-2e4e90310815 · outbound

This paper cites k-t clair: Self-consistency guided multi-prior learning for dynamic parallel mr image reconstruction,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction k-t clair: Self-consistency guided multi-prior learning for dynamic parallel mr image reconstruction,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.330264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0df4c781-d22b-4a2d-a854-2da55e13271a · 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,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction 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 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.206227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e0ca36d-cb66-4f0d-8d8f-fc66bfd759f3 · outbound

This paper cites an unresolved cited work.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:12:14.190006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba78eed5-e001-4db3-9083-4848597c56f0 · outbound

This paper cites An optimal radial profile order based on the golden ratio for time- resolved mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction An optimal radial profile order based on the golden ratio for time- resolved mri,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.172962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59d1e0d1-32bc-4231-a833-33509bdd960e · outbound

This paper cites Z intensity-weighted position self-respiratory gating method for free- breathing 3d cardiac cine imaging,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Z intensity-weighted position self-respiratory gating method for free- breathing 3d cardiac cine imaging,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.153179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38a0c676-9eec-4bb7-8a2b-ea2be53c8342 · outbound

This paper cites Non-cartesian data reconstruction using grappa operator gridding (grog),.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Non-cartesian data reconstruction using grappa operator gridding (grog),

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.136228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a54cbd05-f46a-4fc5-ae8a-9e06d71e2c2b · outbound

This paper cites Self- calibrating grappa operator gridding for radial and spiral trajectories,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Self- calibrating grappa operator gridding for radial and spiral trajectories,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.119118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be6ef964-0f8e-4343-9404-9d7ac186a380 · outbound

This paper cites Optimization and validation of accelerated golden-angle radial sparse mri reconstruction with self-calibrating grappa operator gridding,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Optimization and validation of accelerated golden-angle radial sparse mri reconstruction with self-calibrating grappa operator gridding,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.100964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 366272c2-ecff-4979-8e34-65b5de6f421d · outbound

This paper cites Cmrxrecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac mri,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Cmrxrecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac mri,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.082112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9fc0f1b9-d98d-4807-a7a8-747542c43cf6 · outbound

This paper cites Coil com- pression for accelerated imaging with cartesian sampling,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Coil com- pression for accelerated imaging with cartesian sampling,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.830412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbeeff20-98b8-4139-a5bc-6fae4fbc0fe1 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Understanding the difficulty of training deep feedforward neural networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.049035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81c3d8d8-0e60-47a0-8190-a2aef1dd2d98 · outbound

This paper cites Decoupled Weight Decay Regularization.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Decoupled Weight Decay Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:13.841763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db1d2b9-25b7-457a-9626-d0955c9c3107 · outbound

This paper cites Active computer vision by cooperative focus and stereo,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Active computer vision by cooperative focus and stereo,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.029333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ce4b4f9-77bc-427c-aa31-864033da1d7e · outbound

This paper cites Grasp-pro: improving grasp dce-mri through self-calibrating subspace- modeling and contrast phase automation,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Grasp-pro: improving grasp dce-mri through self-calibrating subspace- modeling and contrast phase automation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:14.008794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19e0ff29-e4ce-4ff7-846b-d21dcbbcd1d1 · outbound

This paper cites Multi-task magnetic resonance imaging reconstruction using meta-learning,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Multi-task magnetic resonance imaging reconstruction using meta-learning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:13.990520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1e38e7e-4fdf-4c59-97a9-9e5440427f19 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction High- resolution image synthesis with latent diffusion models,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:13.972885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d894ce8-88c6-42eb-9f9f-94a151652a47 · outbound

This paper cites Deep subspace learning for efficient reconstruction of spatiotemporal imaging data,.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Deep subspace learning for efficient reconstruction of spatiotemporal imaging data,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:13.955953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5122dcd6-41fb-4d50-a042-ae1d3b1b5759 · outbound

This paper cites Self-Attention.

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction Self-Attention

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:13.936985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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