Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) | Paper Citation Record

Observation 49719e29-6749-470f-be50-dffc0f4b3f8b · outbound

This paper cites Liang and P.C.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Liang and P.C

Reference 1

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Observation 6ca74a4a-fb52-4394-99e5-f97f79cde6e3 · outbound

This paper cites Bernstein, K.F.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Bernstein, K.F

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.766898Z

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Observation a8e290dd-27fa-4d7f-9254-a6b5bca90739 · outbound

This paper cites Ultrafast imaging: principles, pitfalls, solutions, and appli- cations.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Ultrafast imaging: principles, pitfalls, solutions, and appli- cations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.759958Z

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Observation 5215ac53-d0fb-45bf-948c-2ec6bcb9f974 · outbound

This paper cites SENSE: sensitivity encoding for fast MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) SENSE: sensitivity encoding for fast MRI

Reference 4

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Observation 1e3be4e0-bdb5-4d1e-ae1f-28cd32ea4a7f · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Generalized autocalibrating partially parallel acquisitions (grappa)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.775533Z

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Observation 5d809576-aa0f-4cc2-bf9b-b9167128db5f · outbound

This paper cites Parallel MRI using phased array coils.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Parallel MRI using phased array coils

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.779392Z

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Observation 7c30b058-8a8f-4ec4-a507-773b02c36c14 · outbound

This paper cites Parallel MR imaging.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Parallel MR imaging

Reference 7

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Observation 753c2992-12a7-4af8-a29a-da8c616fb4c3 · outbound

This paper cites Compressed sensing.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Compressed sensing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.799653Z

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Observation 6e904e63-dcc7-4044-b59e-6699913cedb3 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Sparse MRI: The application of compressed sensing for rapid MR imaging

Reference 9

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Observation 5452f2bd-5279-475f-80e3-c763bea63955 · outbound

This paper cites Compressed sensing MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Compressed sensing MRI

Reference 10

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Observation a78db4d6-4951-42d4-8259-491e5b884020 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) MR image reconstruction from highly undersampled k-space data by dictionary learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.820637Z

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Observation dc5e5616-fb7e-4f26-a65d-52cc95a772b2 · outbound

This paper cites Blind compressive sensing dynamic MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Blind compressive sensing dynamic MRI

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.763294Z

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Observation 53d4327b-9e42-42da-adbd-882325816324 · outbound

This paper cites Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.771578Z

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Observation 1943e6f2-3e4c-4b4e-ba55-709bda8d4525 · outbound

This paper cites Fast multiclass dictionaries learning with geometrical directions in MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Fast multiclass dictionaries learning with geometrical directions in MRI reconstruction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.787843Z

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Observation bfb38dde-8bad-476d-8e5b-03f7b624fea2 · outbound

This paper cites Learning sparsifying transforms.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Learning sparsifying transforms

Reference 15

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Observation 5f78adb4-934c-4fd2-b550-25cb8a7bd5a7 · outbound

This paper cites Image reconstruction: From sparsity to data-adaptive methods and machine learning.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Image reconstruction: From sparsity to data-adaptive methods and machine learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.783211Z

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Observation f56658ff-06c0-4f37-abfb-e149c6d20c11 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep ADMM-Net for compressive sensing MRI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.812482Z

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Observation 9d5c2bb4-f96f-491f-a076-b5a311e34ed8 · outbound

This paper cites ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:02:35.890151Z

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Observation 8a95499c-1f6d-4e01-bdf6-c0413618bda9 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Ista-net: Interpretable optimization- inspired deep network for image compressive sensing

Reference 19

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Observation 58b7b9a7-8061-4f8a-87a1-e51a1eced7fd · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) U-Net: Convolutional networks for biomedical image segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.741543Z

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Observation 4826351b-684a-485e-9649-938ced2928aa · outbound

This paper cites Deep learning for undersampled MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep learning for undersampled MRI reconstruction

Reference 21

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Observation be8e50ea-a20c-4c5e-9754-1758e317d6f7 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Image reconstruction by domain-transform manifold learning

Reference 22

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Observation f4263120-e26f-4eb3-89b2-fe060b3d2f2a · outbound

This paper cites Image reconstruction is a new frontier of machine learning.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Image reconstruction is a new frontier of machine learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.714677Z

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Observation b27c550c-16f7-4f25-8aab-b6da1c057c0c · outbound

This paper cites Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.705492Z

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Observation 280ce613-7cd3-4afe-b938-40bbd3aa856c · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Learning a variational network for reconstruction of accelerated MRI data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.710575Z

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Observation fc630d0c-30e3-4b9d-981a-d09f36a30ceb · outbound

This paper cites End-to-end variational networks for acceler- ated MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) End-to-end variational networks for acceler- ated MRI reconstruction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.603047Z

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Observation 26277f9e-30de-4f1e-838f-758622778b96 · outbound

This paper cites Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:02:35.874485Z

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Observation e07585b6-28b3-4617-8c07-e38ffe2eb537 · outbound

This paper cites Dagan: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Dagan: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.584374Z

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Observation f27dbaad-c036-4544-97cb-f700a194ade8 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) MoDL: Model-based deep learning architecture for inverse problems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.701125Z

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Observation 9df3b2d6-3702-48b9-a3a4-2b60304e8dd1 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) J-MoDL: Joint model-based deep learning for optimized sampling and reconstruction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.686251Z

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Observation 09deb823-57eb-4fd8-a970-16ebb85f10c2 · outbound

This paper cites Compressed sensing in dynamic MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Compressed sensing in dynamic MRI

Reference 31

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Observation c3acbfa6-0013-41f3-bc09-c5844df14cee · outbound

This paper cites Compressed-sensing MRI with random encoding.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Compressed-sensing MRI with random encoding

Reference 32

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Observation 33f83323-6a64-4dc1-a699-dbd8e00fa01f · outbound

This paper cites Fast poisson disk sampling in arbitrary dimensions.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Fast poisson disk sampling in arbitrary dimensions

Reference 33

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Observation e0b2df1c-9214-48a6-8c6a-ac618c3691cc · outbound

This paper cites Spirit: iterative self-consistent parallel imaging reconstruction from arbitrary k-space.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Spirit: iterative self-consistent parallel imaging reconstruction from arbitrary k-space

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.718947Z

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Observation fa676d6d-1200-419d-b742-a0ce27f62e7c · outbound

This paper cites 3D cartesian MRI with compressed sensing and variable view sharing using complementary poisson-disc sampling.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) 3D cartesian MRI with compressed sensing and variable view sharing using complementary poisson-disc sampling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.621910Z

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Observation c82486ed-b8b2-42f8-b911-52b88bd11e2f · outbound

This paper cites Adaptive sampling design for com- pressed sensing MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Adaptive sampling design for com- pressed sensing MRI

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.633199Z

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Observation 9f572e8e-6f09-4f6b-825e-1e2f58194b12 · outbound

This paper cites Adapted random sampling patterns for accelerated MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Adapted random sampling patterns for accelerated MRI

Reference 37

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Observation ec03098e-7295-4b9a-afa5-772444ed5126 · outbound

This paper cites A robust adaptive sampling method for faster acquisition of MR images.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) A robust adaptive sampling method for faster acquisition of MR images

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.617917Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 343dc581-e35f-439b-b475-777091b90836 · outbound

This paper cites Energy preserved sam- pling for compressed sensing MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Energy preserved sam- pling for compressed sensing MRI

Reference 39

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Observation 808e721b-5ba6-4d32-af4e-74141e9b4ece · outbound

This paper cites OEDIPUS: An experiment design framework for sparsity-constrained MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) OEDIPUS: An experiment design framework for sparsity-constrained MRI

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.674830Z

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Observation 4848727e-364a-4786-9f8f-cb63c78f6f47 · outbound

This paper cites Op- timization of k-space trajectories for compressed sensing by bayesian experimental design.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Op- timization of k-space trajectories for compressed sensing by bayesian experimental design

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.678714Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81016a0c-4a55-497d-9b40-dcdf2f97b35b · outbound

This paper cites Learning-based compressive MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Learning-based compressive MRI

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.733518Z

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Observation 62daeb82-9115-42c1-97ba-38e2a3a603ca · outbound

This paper cites Rethinking sampling in parallel MRI: A data-driven approach.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Rethinking sampling in parallel MRI: A data-driven approach

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.663438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8805befa-2713-41b1-9425-c3dad371060c · outbound

This paper cites Scalable learning-based sampling optimization for compressive dynamic MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Scalable learning-based sampling optimization for compressive dynamic MRI

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.659675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 281c0b98-71a8-42f0-ad8b-a391002ccfb0 · outbound

This paper cites Fast data-driven learning of parallel MRI sampling patterns for large scale problems.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Fast data-driven learning of parallel MRI sampling patterns for large scale problems

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.667148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e98aeb6-c49f-4ed3-a54a-87f39c62ef43 · outbound

This paper cites Alternating learning approach for variational networks and undersampling pattern in parallel MRI applications.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Alternating learning approach for variational networks and undersampling pattern in parallel MRI applications

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.671168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4a09f9d-efcb-4d05-b31d-ef6ddc96ce7e · outbound

This paper cites Deep- learning-based optimization of the under-sampling pattern in MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep- learning-based optimization of the under-sampling pattern in MRI

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.599228Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d08a857-7b1f-4cce-803c-50f5114f379e · outbound

This paper cites Extending loupe for k-space under-sampling pattern optimization in multi-coil mri.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Extending loupe for k-space under-sampling pattern optimization in multi-coil mri

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.648465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07adec0d-e199-4fc4-b369-655cc71f3dc6 · outbound

This paper cites Learning the sampling pattern for MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Learning the sampling pattern for MRI

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.652690Z

Source-reported events for the cited work

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Observation 40af2c39-c572-400b-a25a-f22b9e49c461 · outbound

This paper cites End- to-end sequential sampling and reconstruction for MR imaging.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) End- to-end sequential sampling and reconstruction for MR imaging

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.641340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b483c8cb-f584-409f-994e-621f7f58f325 · outbound

This paper cites Single-pass object-adaptive data undersampling and reconstruction for MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Single-pass object-adaptive data undersampling and reconstruction for MRI

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.644733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f45ac697-dc55-4d8d-840c-1deb139ea527 · outbound

This paper cites Autosamp: Autoencoding k-space sampling via variational information maximization for 3D MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Autosamp: Autoencoding k-space sampling via variational information maximization for 3D MRI

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.656224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 345f42e2-aa4b-407e-94da-52d7a5b098fa · outbound

This paper cites PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:02:35.879811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0550e514-d596-4f64-ba95-0b329a0b31f7 · outbound

This paper cites Sparkling: variable-density k-space filling curves for accelerated T2*-weighted MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Sparkling: variable-density k-space filling curves for accelerated T2*-weighted MRI

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.637086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8bac663b-17e1-4174-a5aa-d94684a6808d · outbound

This paper cites Optimizing full 3D sparkling trajectories for high-resolution magnetic resonance imaging.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Optimizing full 3D sparkling trajectories for high-resolution magnetic resonance imaging

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.606731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69af39fd-63b0-4034-87cf-6277a74aefcd · outbound

This paper cites B- spline parameterized joint optimization of reconstruction and k-space trajectories (BJORK) for accelerated 2D MRI.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) B- spline parameterized joint optimization of reconstruction and k-space trajectories (BJORK) for accelerated 2D MRI

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.610966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d776a3cf-ca32-4fa1-ae2d-29a323509610 · outbound

This paper cites NC-PDNet: A density-compensated unrolled network for 2D and 3D non-cartesian MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) NC-PDNet: A density-compensated unrolled network for 2D and 3D non-cartesian MRI reconstruction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.592121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 68726dca-0731-4f4d-a0c0-15a51fa19f02 · outbound

This paper cites Stochastic optimization of three-dimensional non-cartesian sampling trajectory.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Stochastic optimization of three-dimensional non-cartesian sampling trajectory

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.629629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54323192-6c21-481b-98fc-38db9c776853 · outbound

This paper cites Active MR k-space sampling with reinforcement learning.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Active MR k-space sampling with reinforcement learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.595428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation abb7cc52-7f20-40e2-9aad-0e3f5823b38f · outbound

This paper cites Experimental design for MRI by greedy policy search.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Experimental design for MRI by greedy policy search

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.580661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation abdd89f1-acdb-49d6-abaa-acfa2fa14a14 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Image quality assessment: from error visibility to structural similarity

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.569623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cf1f1e0-4c78-45ff-8d5c-d3c04e0ef9dc · outbound

This paper cites Patient-adaptive and learned MRI data undersampling using neighborhood clustering.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Patient-adaptive and learned MRI data undersampling using neighborhood clustering

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.573436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f97bf0e-f2b7-4887-96b1-de9ec20f753b · outbound

This paper cites Zero-shot self- supervised learning for MRI reconstruction.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Zero-shot self- supervised learning for MRI reconstruction

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.566127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

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

Reference 64

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3e6dd3d-245b-45de-89a1-64d78be7414f · outbound

This paper cites fastMRI: A publicly available raw k-space and dicom dataset of knee images for accelerated MR image reconstruction using machine learning.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) fastMRI: A publicly available raw k-space and dicom dataset of knee images for accelerated MR image reconstruction using machine learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.577075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f69314e-1b16-4107-b468-a16ce1779769 · outbound

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

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) ESPIRiT — an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.588115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b7957e6-9c03-49b4-a5f8-b2a3f4030053 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:02:35.863542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd1fea76-0f6f-415b-b3d3-1fb03eac9c67 · outbound

This paper cites Deep iterative down-up CNN for image denoising.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Deep iterative down-up CNN for image denoising

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.755891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 336f74c6-c794-4d61-a8c6-c5d03394e0c7 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Adam: A Method for Stochastic Optimization

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:02:35.885427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f3fd733-b51a-4f56-8d7a-4a16081af5f1 · outbound

This paper cites Adaptive local neighborhood- based neural networks for MR image reconstruction from undersampled data.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) Adaptive local neighborhood- based neural networks for MR image reconstruction from undersampled data

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.693616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd488a1c-e88c-492c-9788-68b060fe4db8 · outbound

This paper cites fastMRI+, clinical pathol- ogy annotations for knee and brain fully sampled magnetic resonance imaging data.

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO) fastMRI+, clinical pathol- ogy annotations for knee and brain fully sampled magnetic resonance imaging data

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:02:36.722648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Reference resolution

Outbound references

Pith citing papers