Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T16:42:18.815386Z
Paper Citation Record · LEDGER
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2601.04775.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact9
- verified fuzzy37
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7eb4eadc-4017-41ef-903b-acb38db87280 · outbound
This paper cites SENSE: sensitivity encoding for fast MRI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction SENSE: sensitivity encoding for fast MRI
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.976233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4f6c0a6b-0ff0-4d34-88eb-1b8268a60fac · outbound
This paper cites Generalized autocalibratin g partially parallel acquisitions (GRAPPA).
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Generalized autocalibratin g partially parallel acquisitions (GRAPPA)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.956542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4ae2ba13-f5b1-4cfa-8e8c-4f70ad2a60eb · outbound
This paper cites SPIRiT: iterative self-cons istent parallel imaging reconstruction from arbitrary k-space.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction SPIRiT: iterative self-cons istent parallel imaging reconstruction from arbitrary k-space
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.007970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1624f8b6-ae7e-49f9-910d-26a0e9a4df8a · outbound
This paper cites ESPIRiT—an eigenvalue approac h to au- tocalibrating parallel MRI: where SENSE meets GRAPPA.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction ESPIRiT—an eigenvalue approac h to au- tocalibrating parallel MRI: where SENSE meets GRAPPA
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.012425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 15a2264c-c33e-463c-9c2e-96fe9bb87c50 · outbound
This paper cites Compressed sensing.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Compressed sensing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.982289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4f8a3493-bf26-4139-830b-8edd56aaf63b · outbound
This paper cites Sparse MRI: The app lication of compressed sensing for rapid MR imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Sparse MRI: The app lication of compressed sensing for rapid MR imaging
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.051896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 546f48f9-00ad-47b3-b2d5-fc82ca8fe84e · outbound
This paper cites Com pressed sensing MRI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Com pressed sensing MRI
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.019706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 99f8c24c-ba22-464d-8198-e968ea8c289c · outbound
This paper cites Compressed sensing MRI: a review from signal pr ocessing perspective.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Compressed sensing MRI: a review from signal pr ocessing perspective
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.032195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 64481681-d16e-4748-9e8f-f9966ebfc7b7 · outbound
This paper cites Accelerating magnetic resonance imaging via deep l earning.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Accelerating magnetic resonance imaging via deep l earning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.034899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f9530a98-b986-4825-b03f-586dd2c07c67 · outbound
This paper cites Learning a variational network for reco nstruction of accelerated MRI data.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Learning a variational network for reco nstruction of accelerated MRI data
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.037475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9f8f33e5-d9c3-4bc0-9a39-85294a4a6f23 · outbound
This paper cites CINENet: deep learning-based 3D cardiac CINE MRI reconstruction wit h multi-coil complex-valued 4D spatio-temporal convolutions.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction CINENet: deep learning-based 3D cardiac CINE MRI reconstruction wit h multi-coil complex-valued 4D spatio-temporal convolutions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.043529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7e067374-9505-4012-8cae-939136be15f6 · outbound
This paper cites Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.046515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ab689992-d8c5-4fc2-aa59-0321938e3a43 · outbound
This paper cites Deep learning for accelerated and robust MRI reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Deep learning for accelerated and robust MRI reconstruction
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.022935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9873bdbf-6652-4ca0-9c26-d60f16722946 · outbound
This paper cites Attention incorporated network for sharing low- rank, image and k-space information during MR image reconst ruction to achieve single breath-hold cardiac Cine imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Attention incorporated network for sharing low- rank, image and k-space information during MR image reconst ruction to achieve single breath-hold cardiac Cine imaging
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.026627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ae72afb-236b-42ad-90af-512386c00700 · outbound
This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Reference 15
- 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 2026-08-06T06:34:29.942622+00:00.
Observation a93f585b-6c3d-4e18-9273-9f162229f273 · outbound
This paper cites OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:43:06.629806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a65fab4-67b1-4755-a5a5-71023d85cb18 · outbound
This paper cites CMRxRecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac M RI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction CMRxRecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac M RI
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.998524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 21d876d7-82ab-42bc-ae77-828d89414a97 · outbound
This paper cites Common artefacts encountered on ima ges acquired with combined compressed sensing and SENSE.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Common artefacts encountered on ima ges acquired with combined compressed sensing and SENSE
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.029368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b41c9a7f-7429-46fb-a5ef-e7686ee11f8f · outbound
This paper cites Self-supervised learning of physics-guide d reconstruction neural networks without fully sampled reference data.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-supervised learning of physics-guide d reconstruction neural networks without fully sampled reference data
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.049231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efee6dca-c8cd-4dd9-936b-9912d8c60343 · outbound
This paper cites Zero-Shot Self-Supervised Learning for MRI Reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Zero-Shot Self-Supervised Learning for MRI Reconstruction
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:43:06.598442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca019116-e3b7-47e1-bed4-c91832b27471 · outbound
This paper cites Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:43:06.570484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9fd9d83-4162-4d9a-8b4e-c7e893c970a5 · outbound
This paper cites Multi-mask self -supervised learning for physics-guided neural networks in highly acce lerated mag- netic resonance imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Multi-mask self -supervised learning for physics-guided neural networks in highly acce lerated mag- netic resonance imaging
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.001577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b347a47e-ebf9-4b29-8800-5b8435b28005 · outbound
This paper cites Dual-domain self-supervised learni ng for accel- erated non-Cartesian MRI reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Dual-domain self-supervised learni ng for accel- erated non-Cartesian MRI reconstruction
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.985269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 36d0b1c4-b815-446e-9ab9-49f88c8cf75a · outbound
This paper cites Imp roved multi- shot diffusion-weighted mri with zero-shot self-supervis ed learning recon- struction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Imp roved multi- shot diffusion-weighted mri with zero-shot self-supervis ed learning recon- struction
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.992013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1eb34f54-1422-4719-a33a-7b07bd3bc747 · outbound
This paper cites Self-supervised MRI reconstruction with unrolled diffusion models.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-supervised MRI reconstruction with unrolled diffusion models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.963274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a0741e8-381d-477b-9910-e42d07e52189 · outbound
This paper cites Implicit neural representation in med ical imaging: A comparative survey.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Implicit neural representation in med ical imaging: A comparative survey
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.966374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7e73e4b6-699c-4166-b1cb-2323d2360b28 · outbound
This paper cites K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:43:06.588706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a0e4b291-326d-4ebf-980e-cf97339d480c · outbound
This paper cites Subspace implici t neural representations for real-time cardiac cine MR imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Subspace implici t neural representations for real-time cardiac cine MR imaging
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.979430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ffce884d-761d-4b14-a024-43056911c6ff · outbound
This paper cites Self-supervised fe ature learning for cardiac Cine MR image reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-supervised fe ature learning for cardiac Cine MR image reconstruction
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.969723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2384c485-f623-4990-86e0-aa90d0e01c23 · outbound
This paper cites Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:43:06.583382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1603001e-02da-4347-82d9-4d9b8284e4e3 · outbound
This paper cites Self-supervised le arning for MRI reconstruction: a review and new perspective.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-supervised le arning for MRI reconstruction: a review and new perspective
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.040364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 552398b9-e03c-4137-aef4-01b261252bd2 · outbound
This paper cites Benchmarking Self-Supervised Methods for Accelerated MRI Reconstruction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Benchmarking Self-Supervised Methods for Accelerated MRI Reconstruction
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.054741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3c43d463-f782-4263-8f96-5deca410ae89 · outbound
This paper cites A theoretical framework for s elf-supervised MR image reconstruction using sub-sampling via variable de nsity Nois- ier2Noise.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction A theoretical framework for s elf-supervised MR image reconstruction using sub-sampling via variable de nsity Nois- ier2Noise
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.953419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2056e1ab-ca14-4472-9b81-20bbde72f9ba · outbound
This paper cites Probabilistic machine learning: an intr oduction.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Probabilistic machine learning: an intr oduction
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.016395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e2ada139-c297-42a1-887a-6c5582c30142 · outbound
This paper cites PARCEL: Physics-based unsupervised contrastive r epresentation learning for multi-coil MR imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction PARCEL: Physics-based unsupervised contrastive r epresentation learning for multi-coil MR imaging
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.949986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bc83d469-6eef-423b-854d-01fd298c381e · outbound
This paper cites ENSU RE: A general approach for unsupervised training of deep image re construction algorithms.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction ENSU RE: A general approach for unsupervised training of deep image re construction algorithms
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.960339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6fc8ff7e-3662-4486-893e-300fc8fdc033 · outbound
This paper cites Self-supervise d federated learning for fast MR imaging.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Self-supervise d federated learning for fast MR imaging
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:07.004440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 94a6055e-45d8-470c-bf43-69e68ef6868c · outbound
This paper cites Noise2Noise: Learning Image Restoration without Clean Data.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Noise2Noise: Learning Image Restoration without Clean Data
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:43:06.602470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6426d306-4ade-4a27-9748-1ccd48f26cf1 · outbound
This paper cites RARE: Image reconstruction using deep priors learned without gro undtruth.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction RARE: Image reconstruction using deep priors learned without gro undtruth
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.995308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9e7abf9-0011-4ca9-83c1-e4efe1924eec · outbound
This paper cites V ariable density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction V ariable density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.973071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fbd011ef-d5bb-46dd-9bb2-85510415487b · outbound
This paper cites V ariable d ensity incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction V ariable d ensity incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.943858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a3cb0172-d055-4582-bc2b-1693656bb65f · outbound
This paper cites Deep Complex Networks.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Deep Complex Networks
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:43:06.593172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 405429ad-aa53-41e1-bb12-23b3bec3417c · outbound
This paper cites Unitary evolution recurrent neural networks.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Unitary evolution recurrent neural networks
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.946730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1b7f59fc-3d0d-4b2e-8386-92e2b76145e8 · outbound
This paper cites Machine enhanced recon struction learning and interpretation networks (MERLIN).
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Machine enhanced recon struction learning and interpretation networks (MERLIN)
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T16:43:06.941101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 28b0fb49-3f80-4208-b6ac-1e7914b75a00 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Adam: A Method for Stochastic Optimization
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:43:06.576154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
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This paper cites Predictive uncertainty in deep learning–based MR image re construction using deep ensembles: evaluation on the fastMRI data set.
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction Predictive uncertainty in deep learning–based MR image re construction using deep ensembles: evaluation on the fastMRI data set
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