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Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-16ccSource: DataRank Database

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis is a research paper published in The Journal of Machine Learning for Biomedical Imaging (2022). On theSindex it has a DataRank of 0. It has been cited 21 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access21 citations

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Cite:

Linked data & code

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (19 grants)Impact (FWCI 2.76)OA: bronzeTopics (31)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (5)

Juan Eugenio Iglesias ORCID,Elfar Adalsteinsson ORCID,Adrian V. Dalca ORCID,Polina Golland ORCID,Nalini Singh ORCID

Live enrichment

PubMed:36349348 PMC:PMC9639401 OpenAlex:https://openalex.org/W4308686586

NIBIB NIH HHS

Grant: R01 EB017337

NIA NIH HHS

Grant: R01 AG064027

NIA NIH HHS

Grant: R01 AG070988

NIMH NIH HHS

Grant: RF1 MH123195

NIBIB NIH HHS

Grant: P41 EB015902

NICHD NIH HHS

Grant: R01 HD100009

NINDS NIH HHS

Grant: R01 NS105820

NIBIB NIH HHS

Grant: R01 EB032708

European Research Council

Grant: 677697

Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies

NIBIB NIH HHS

Grant: T32 EB001680

National Institutes of Health

Grant: 5P41EB015902-20

Neuroimaging Analysis Center (NAC)

National Institutes of Health

Grant: 1R01EB017337-01A1

Advanced Fetal Imaging

National Institutes of Health

Grant: 1R01AG064027-01A1

Deep Learning Algorithms for FreeSurfer

National Institutes of Health

Grant: 5R01EB032708-03

Fetal MRI: robust self-driving brain acquisition and body movement quantification

National Institutes of Health

Grant: 1RF1MH123195-01

Open-source software for multi-scale mapping of the human brain

National Institutes of Health

Grant: 5R01HD100009-05

Novel MRI Assessment of Placental Structure and Function Throughout Pregnancy

National Institutes of Health

Grant: 5T32EB001680-12

Neuroimaging Training Program

National Institutes of Health

Grant: 5R01HD100009-02

Novel MRI Assessment of Placental Structure and Function Throughout Pregnancy

National Institutes of Health

Grant: 5R01NS105820-02

Segmenting Brain Structures for Neurological Disorders

FWCI

2.76

Citation Percentile

0.9%

Influential Citations

Citation Trend

2022

2023

2024

2025

bronzeLicense: arXiv Non-Exclusive Distribution

journalhttps://www.melba-journal.org/pdf/2022:018.pdf

BRONZEhttps://www.melba-journal.org/pdf/2022:018.pdf

publisherhttps://www.melba-journal.org/pdf/2022:018.pdf

publisherhttp://melba-journal.org/pdf/2022:018.pdf

journalhttps://doi.org/10.59275/j.melba.2022-16cc

Fields of Study

Advanced MRI Techniques and ApplicationsMedical Imaging Techniques and ApplicationsAdvanced X-ray Imaging TechniquesMedicineComputer ScienceEngineering0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

UndersamplingComputer scienceArtificial intelligenceIterative reconstructionFeature (linguistics)Deep learningConvolutional neural networkComputer visionJoint (building)Feature learningCode (set theory)Block (permutation group theory)Real-time MRIPattern recognition (psychology)MathematicsFOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Sustainable cities and communities

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

10.48550/arxiv.2007.01441arXiv