Cargando…
Uncovering associations between data-driven learned qMRI biomarkers and chronic pain
Knee pain is the most common and debilitating symptom of knee osteoarthritis (OA). While there is a perceived association between OA imaging biomarkers and pain, there are weak or conflicting findings for this relationship. This study uses Deep Learning (DL) models to elucidate associations between...
Autores principales: | Morales, Alejandro G., Lee, Jinhee J., Caliva, Francesco, Iriondo, Claudia, Liu, Felix, Majumdar, Sharmila, Pedoia, Valentina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578418/ https://www.ncbi.nlm.nih.gov/pubmed/34753963 http://dx.doi.org/10.1038/s41598-021-01111-x |
Ejemplares similares
-
Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel‐based relaxometry approach
por: Iriondo, Claudia, et al.
Publicado: (2020) -
Quantitative magnetic resonance imaging (qMRI) in axial spondyloarthritis
por: Thorley, Natasha, et al.
Publicado: (2023) -
RESUME: Turning an SWI acquisition into a fast qMRI protocol
por: Monti, Serena, et al.
Publicado: (2017) -
qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data
por: Karakuzu, Agah, et al.
Publicado: (2022) -
Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis
por: Namiri, Nikan K., et al.
Publicado: (2021)