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Deep Convolutional Neural Network for Dedicated Regions-of-Interest Based Multi-Parameter Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Knee Joint

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01089-8Source: DataRank Database

Deep Convolutional Neural Network for Dedicated Regions-of-Interest Based Multi-Parameter Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Knee Joint is a research paper published in Journal of Imaging Informatics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (23 grants)Impact (FWCI 0.78)OA: greenTopics (107)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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)

Yajun Ma ORCID,Eric Y. Chang ORCID,Jiyo Athertya ORCID,Hyungseok Jang ORCID,Saeed Jerban ORCID

Live enrichment

PubMed:38548992 PMC:PMC11522234 OpenAlex:https://openalex.org/W4393251715

National Institutes of Health

Grant: RF1AG075717

National Institutes of Health

Grant: R01AR062581

National Institutes of Health

Grant: R01AR068987

National Institutes of Health

Grant: R01AR075825

National Institutes of Health

Grant: R01AR079484

National Institutes of Health

Grant: P30AR073761

National Institutes of Health

Grant: R21AR075851

National Institutes of Health

Grant: K01AR080257

VA Clinical Science Research & Development Service

Grant: I01CX002211

VA Clinical Science Research & Development Service

Grant: I01CX001388

VA Clinical Science Research & Development Service

Grant: 1I01BX005952

BLRD VA

Grant: I01 BX005952

National Institutes of Health

Grant: 5I01CX002211-02

Developing MRI Biomarkers of Myelin and Iron in Veterans with Traumatic Brain Injury

National Institutes of Health

Grant: 2R01AR068987-05A1

Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of Bone

National Institutes of Health

Grant: 5P30AR073761-04

Resource-based Center for the study of the joint microenvironment in rheumatology (Overall Application)

National Institutes of Health

Grant: 1RF1AG075717-01A1

Quantitative UTE MR Imaging of Myelin: Novel Biomarkers for Alzheimer's Disease

National Institutes of Health

Grant: 5K01AR080257-02

Knee evaluation under mechanical loading by cones ultrashort echo time MR imaging

National Institutes of Health

Grant: 1I01BX005952-01A1

Multi-scale MRI Assessment of Bone Quality and Function in a Chronic Rat Spinal Cord Injury Model

National Institutes of Health

Grant: 5R01AR079484-02

Ultrashort Echo Time Magnetic Resonance Imaging of the Lumbar Intervertebral Disc.

National Institutes of Health

Grant: 5R21AR075851-02

Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral Junction

National Institutes of Health

Grant: 5R01AR075825-02

Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of Entheses

National Institutes of Health

Grant: 5I01CX001388-02

Quantitative Magnetic Resonance Imaging of Human Rotator Cuff Tendon

National Institutes of Health

Grant: 1R01AR062581-01A1

Quantitative UTE MR Imaging: Sensitive Biomarkers for Osteoarthritis

FWCI

0.78

Citation Percentile

0.7%

Citation Trend

2025

greenLicense: Springer Nature TDM

repositoryhttps://escholarship.org/content/qt4zj830b3/qt4zj830b3.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10278-024-01089-8.pdf

publisherhttps://link.springer.com/article/10.1007/s10278-024-01089-8/fulltext.html

repositoryhttps://escholarship.org/uc/item/4zj830b3

Fields of Study

Advanced MRI Techniques and ApplicationsPhotoacoustic and Ultrasonic ImagingCardiac Imaging and DiagnosticsHumansMagnetic Resonance ImagingKnee JointNeural Networks, ComputerMaleFemaleDeep LearningMiddle AgedAdultOsteoarthritis, KneeImage Processing, Computer-AssistedCartilage, ArticularAgedImage Interpretation, Computer-Assisted

MeSH Terms

Deep LearningAdultAgedCartilage, ArticularFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedKnee JointMagnetic Resonance ImagingMaleMiddle AgedNeural Networks, ComputerOsteoarthritis, Knee

Keywords

Convolutional neural networkMagnetic resonance imagingVoxelSegmentationComputer scienceRegion of interestKnee JointJoint (building)Pearson product-moment correlation coefficientArtificial intelligencePhysicsMathematicsMedicineRadiologyQuantitative MriOaAutomated SegmentationUteDcnnRmq-netMagnetic Resonance Imaging (mesh)MaleCartilage, ArticularComputer (mesh)Image ProcessingHealth Disparities (rcdc)Biomedical Imaging (rcdc)Clinical Research (rcdc)Computer-AssistedMachine Learning and Artificial IntelligenceImage Processing, Computer-Assisted32 Biomedical and Clinical Sciences (for-2020)Male (mesh)Humans (mesh)Networking and Information Technology R&D (NITRD) (rcdc)Bioengineering (rcdc)Articular (mesh)Middle AgedOsteoarthritis, KneeArthritis (rcdc)Health DisparitiesNetworking and Information Technology R&D (NITRD)Biomedical ImagingFemaleMachine Learning and Artificial Intelligence (rcdc)Knee Joint (mesh)AdultNeural NetworksClinical Sciences610BioengineeringMusculoskeletal (hrcs-hc)ComputerDeep LearningClinical ResearchMiddle Aged (mesh)OsteoarthritisImage Interpretation, Computer-AssistedHumansKneeImage Interpretation3202 Clinical Sciences (for-2020)AgedBiomedical and Clinical SciencesDeep Learning (mesh)Aged (mesh)ArthritisComputer-Assisted (mesh)Osteoarthritis (rcdc)CartilageMusculoskeletalFemale (mesh)Adult (mesh)Neural Networks, ComputerKnee (mesh)Articular

Sustainable Development Goals

SDG 0: Good health and well-being