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Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction

Magnetic Resonance Materials in Physics Biology and Medicine(2025)10.1007/s10334-024-01222-2Source: DataRank Database

Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction is a research paper published in Magnetic Resonance Materials in Physics Biology and Medicine (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (10 grants)Impact (FWCI 2.05)OA: hybridTopics (53)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Siddharth Iyer ORCID,Christopher M. Sandino ORCID,Mahmut Yurt ORCID,Xiaozhi Cao ORCID,Congyu Liao ORCID

Live enrichment

PubMed:39891798 OpenAlex:https://openalex.org/W4407065807

National Institutes of Health

Grant: R01EB020613

National Institutes of Health

Grant: R01MH116173

National Institutes of Health

Grant: R01EB019437

National Institutes of Health

Grant: U01EB025162

National Institutes of Health

Grant: P41EB030006

National Institutes of Health

Grant: 3R01EB019437-08S1

fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution

National Institutes of Health

Grant: 5U01EB025162-04

MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNER

National Institutes of Health

Grant: 5R01MH116173-05

Next generation in-vivo diffusion imaging at submillimeter resolution

National Institutes of Health

Grant: 7R01EB020613-05

Rapid MRI acquisition for pediatric low-grade gliomas

National Institutes of Health

Grant: 1P41EB030006-01

Center for Mesoscale Mapping

FWCI

2.05

Citation Percentile

0.8%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10334-024-01222-2.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10334-024-01222-2.pdf

publisherhttps://link.springer.com/article/10.1007/s10334-024-01222-2/fulltext.html

journalhttps://doi.org/10.1007/s10334-024-01222-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39891798

Fields of Study

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications02 engineering and technology0202 electrical engineering, electronic engineering, information engineeringDeep LearningHumansAlgorithmsMagnetic Resonance ImagingImage Processing, Computer-AssistedBrainData CompressionBrain MappingPhantoms, ImagingSpatio-Temporal AnalysisImaging, Three-Dimensional

MeSH Terms

Deep LearningAlgorithmsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingImaging, Three-DimensionalData CompressionSpatio-Temporal Analysis

Keywords

Computer scienceIterative reconstructionCompressed sensingArtificial intelligenceSubspace topologyProjection (relational algebra)Deep learningProcess (computing)Computer visionExpeditingAlgorithm570Brain MappingPhantoms, ImagingBrainData CompressionMagnetic Resonance ImagingArticle004Spatio-Temporal AnalysisImaging, Three-DimensionalImage Processing, Computer-AssistedHumansAlgorithmsResearch ArticleImage processing (computer-assisted)