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QID$$^2$$: An Image-Conditioned Diffusion Model for Q-Space Up-Sampling of DWI Data

Lecture notes in computer science(2025)10.1007/978-3-031-86920-4_11Source: DataRank Database

QID$$^2$$: An Image-Conditioned Diffusion Model for Q-Space Up-Sampling of DWI Data is a research paper published in Lecture notes in computer science (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)Impact (FWCI 0.00)OA: greenTopics (26)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Jueqi Wang,Archana Venkataraman ORCID,Zijian Chen ORCID

Live enrichment

PubMed:40444168 PMC:PMC12122016 OpenAlex:https://openalex.org/W4409523280

NCI NIH HHS

Grant: R21 CA263804

NIBIB NIH HHS

Grant: R01 EB029977

NICHD NIH HHS

Grant: R01 HD108790

National Institutes of Health

Grant: 5R01HD108790-03

A Modular Framework for Data-Driven Neurogenetics to Predict Complex and Multidimensional Autistic Phenotypes

National Institutes of Health

Grant: 1R21CA263804-01

Automated Presurgical Language Mapping via Deep Learning for Multimodal Brain Connectivity

National Institutes of Health

Grant: 1R01EB029977-01A1

Statistical methods for structural and functional integration in multi-modal neuroimaging data

FWCI

0.00

Citation Percentile

0.1%

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12122016/pdf/nihms-2082313.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-86920-4_11

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12122016

book serieshttps://doi.org/10.1007/978-3-031-86920-4_11

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceSampling (signal processing)DiffusionSpace (punctuation)Image (mathematics)Artificial intelligenceComputer visionPhysicsDiffusion weighted imagingDiffusion ModelsDeep LearningQ-space Up-samplingTensor ReconstructionFOS: 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)