Paper Citation Record · LEDGER

K-space Gaussian Representation for Parallel MRI

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.00075.

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pith.paper-citation-record.v1
2608.00075 v2

Coverage vector

measured 37 of 37 reference resolution

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measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b48736b9-730a-4196-9f8d-9f6247d9f800 · outbound

This paper cites SENSE: sensitivity encoding for fast MRI,.

K-space Gaussian Representation for Parallel MRI SENSE: sensitivity encoding for fast MRI,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.091215Z

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Observation 5c850e8f-0927-4e32-b66e-2e4aabededc8 · outbound

This paper cites Generalized autocalibrating partially parallel acquisitions (GRAPPA),.

K-space Gaussian Representation for Parallel MRI Generalized autocalibrating partially parallel acquisitions (GRAPPA),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.075766Z

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Observation 7a247fcb-adc1-4f8f-b0b5-e2551f42110e · outbound

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

K-space Gaussian Representation for Parallel MRI Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.061255Z

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Observation 1358bff2-ffe4-4253-b847-29bd2a29b3f5 · outbound

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

K-space Gaussian Representation for Parallel MRI Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) re- construction: Database-free deep learning for fast imaging,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.044994Z

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Observation 4e6c4233-5105-453f-9bbe-2f2138329c39 · outbound

This paper cites Self-supervised learning of physics-guided reconstruc- tion neural networks without fully sampled reference data,.

K-space Gaussian Representation for Parallel MRI Self-supervised learning of physics-guided reconstruc- tion neural networks without fully sampled reference data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.028789Z

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Observation d729a7ba-441f-47dc-9ee4-8e8de326dba8 · outbound

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

K-space Gaussian Representation for Parallel MRI Deep magnetic resonance image reconstruction: Inverse problems meet neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:21.013389Z

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Observation 44c36448-269c-4ac6-b9d9-309507b9b81d · outbound

This paper cites A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix,.

K-space Gaussian Representation for Parallel MRI A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.995432Z

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Observation 108d348b-3a7e-402a-a658-dbedd33d2cd3 · outbound

This paper cites Implicit neural representations with periodic activation functions,.

K-space Gaussian Representation for Parallel MRI Implicit neural representations with periodic activation functions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.979349Z

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Observation 274d8a69-f067-4ee3-8b70-356889cccabb · outbound

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

K-space Gaussian Representation for Parallel MRI Low-rank modeling of local k-space neighborhoods (LO- RAKS) for constrained MRI,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.959389Z

Source-reported events for the cited work

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Observation 51355d26-a795-4e44-a770-9ce17adc38fb · outbound

This paper cites P-LORAKS: Low-rank modeling of local k- space neighborhoods with parallel imaging data,.

K-space Gaussian Representation for Parallel MRI P-LORAKS: Low-rank modeling of local k- space neighborhoods with parallel imaging data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.941024Z

Source-reported events for the cited work

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Observation 47deda3b-c619-4414-bb25-ba7eeb94ebf4 · outbound

This paper cites Universal approximation using radial-basis- function networks,.

K-space Gaussian Representation for Parallel MRI Universal approximation using radial-basis- function networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.924610Z

Source-reported events for the cited work

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Observation 6652b919-2d43-4329-96b9-5f3483ab1065 · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering,.

K-space Gaussian Representation for Parallel MRI 3D Gaussian splatting for real-time radiance field rendering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.908740Z

Source-reported events for the cited work

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Observation 1361505a-2f94-4007-9338-79ffc4b235b8 · outbound

This paper cites R2-Gaussian: Rectifying radiative Gaussian splatting for tomographic reconstruction,.

K-space Gaussian Representation for Parallel MRI R2-Gaussian: Rectifying radiative Gaussian splatting for tomographic reconstruction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.892644Z

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Observation 94ee78f0-7e3a-4a38-8f5a-b6cb4b735f40 · outbound

This paper cites Fast undersampled dynamic MRI reconstruction using explicit representation learning with Gaussian splatting,.

K-space Gaussian Representation for Parallel MRI Fast undersampled dynamic MRI reconstruction using explicit representation learning with Gaussian splatting,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:27:20.625209Z

Source-reported events for the cited work

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Observation 455a6e35-e0a5-4d53-a024-21f791fd4672 · outbound

This paper cites SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space,.

K-space Gaussian Representation for Parallel MRI SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.876009Z

Source-reported events for the cited work

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Observation 1b196596-4f36-4243-9fd4-cf2e47648aa6 · outbound

This paper cites Gabor primitives for accelerated cardiac cine MRI reconstruction,.

K-space Gaussian Representation for Parallel MRI Gabor primitives for accelerated cardiac cine MRI reconstruction,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:27:20.548891Z

Source-reported events for the cited work

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Observation fb55f4ec-4f60-4e28-b7a0-f0f9758b0572 · outbound

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

K-space Gaussian Representation for Parallel MRI Sparse MRI: The application of compressed sensing for rapid MR imaging,

Reference 17

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Source-reported events for the cited work

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Observation 33a5b4ac-e7a4-4f1f-b75c-6d83adba952d · outbound

This paper cites An annihilating filter-based low-rank hankel matrix approach for image inpainting,.

K-space Gaussian Representation for Parallel MRI An annihilating filter-based low-rank hankel matrix approach for image inpainting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.847482Z

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Observation 8238723e-c58a-4d36-b9e9-6aca3b5810fe · outbound

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

K-space Gaussian Representation for Parallel MRI Learning a variational network for reconstruction of accelerated MRI data,

Reference 19

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Observation fc43d950-acb6-4ca4-bd5f-5b2f17f98d05 · outbound

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

K-space Gaussian Representation for Parallel MRI MoDL: Model-based deep learning architecture for inverse problems,

Reference 20

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Source-reported events for the cited work

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Observation 54c1e2a3-b482-4a32-807d-e8dea47ea601 · outbound

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

K-space Gaussian Representation for Parallel MRI Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.802984Z

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Observation 89689f69-9eb0-4b4f-880b-ef165815b89a · outbound

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

K-space Gaussian Representation for Parallel MRI Neural implicit k-space for binning-free non-Cartesian cardiac MR imaging,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.787611Z

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Observation 0ea1f379-d47d-4828-acfc-aa3acb127755 · outbound

This paper cites PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI.

K-space Gaussian Representation for Parallel MRI PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:27:20.474033Z

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Observation 89786fd0-dabe-458d-bea9-2b40abf1aa14 · outbound

This paper cites Free- breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation,.

K-space Gaussian Representation for Parallel MRI Free- breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.772434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbee3f67-7188-40d3-9fbb-bd5ffc008066 · outbound

This paper cites DDGS-CT: Direction-disentangled Gaussian splatting for realistic vol- ume rendering,.

K-space Gaussian Representation for Parallel MRI DDGS-CT: Direction-disentangled Gaussian splatting for realistic vol- ume rendering,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.755837Z

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Observation 96c1ca7a-2822-4a8d-9e1b-1b7dee12e8c8 · outbound

This paper cites UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes.

K-space Gaussian Representation for Parallel MRI UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:27:20.451443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb431272-2f10-4b62-9585-cb5044693190 · outbound

This paper cites Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians.

K-space Gaussian Representation for Parallel MRI Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:27:20.430328Z

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Observation cc8c4766-df55-4332-945b-249f6fb4fb98 · outbound

This paper cites InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting.

K-space Gaussian Representation for Parallel MRI InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:27:20.406406Z

Source-reported events for the cited work

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Observation cc90e3fc-8a2e-4a25-b0f2-d67091653ed5 · outbound

This paper cites Physics-driven 3D Gaussian rendering for zero-shot MRI super-resolution,.

K-space Gaussian Representation for Parallel MRI Physics-driven 3D Gaussian rendering for zero-shot MRI super-resolution,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.738879Z

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Observation bf93836e-fe4a-4df8-980f-562ba6157057 · outbound

This paper cites PINGS-X: Physics-informed normalized Gaussian splatting with axes alignment for efficient super-resolution of 4D flow MRI,.

K-space Gaussian Representation for Parallel MRI PINGS-X: Physics-informed normalized Gaussian splatting with axes alignment for efficient super-resolution of 4D flow MRI,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.721750Z

Source-reported events for the cited work

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Observation c9a42e1e-eaea-4656-96e2-8ccc5974dd0a · outbound

This paper cites M-Gaussian: An magnetic Gaussian framework for efficient multi-stack MRI reconstruction,.

K-space Gaussian Representation for Parallel MRI M-Gaussian: An magnetic Gaussian framework for efficient multi-stack MRI reconstruction,

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:27:20.383613Z

Source-reported events for the cited work

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Observation 1802589c-797f-42fa-828c-a0e58d87ef0a · outbound

This paper cites Three-dimensional MRI reconstruction with 3D gaussian representations: Tackling the undersam- pling problem,.

K-space Gaussian Representation for Parallel MRI Three-dimensional MRI reconstruction with 3D gaussian representations: Tackling the undersam- pling problem,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.705509Z

Source-reported events for the cited work

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Observation f18317b5-e43b-48c1-9f1e-a1bc8e7bcdd5 · outbound

This paper cites Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction.

K-space Gaussian Representation for Parallel MRI Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:27:20.213497Z

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Observation 630b5762-5114-4549-8f6b-d4f3007e4e4f · 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,.

K-space Gaussian Representation for Parallel MRI fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.689382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c15908cb-d801-4663-ae54-9ba0b6c920fb · outbound

This paper cites Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge,.

K-space Gaussian Representation for Parallel MRI Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.672251Z

Source-reported events for the cited work

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Observation 49fab38c-7494-4461-9d6b-65849587dac3 · outbound

This paper cites Results of the 2020 fastMRI challenge for machine learning MR image reconstruc- tion,.

K-space Gaussian Representation for Parallel MRI Results of the 2020 fastMRI challenge for machine learning MR image reconstruc- tion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:27:20.654724Z

Source-reported events for the cited work

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Observation e40675f8-fb59-4bf0-943f-ced24f774e4b · outbound

This paper cites An open, multi-vendor, multi- field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement,.

K-space Gaussian Representation for Parallel MRI An open, multi-vendor, multi- field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:20.166766Z

Source-reported events for the cited work

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Pith citing papers

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