Cargando…
Federated End-to-End Unrolled Models for Magnetic Resonance Image Reconstruction
Image reconstruction is the process of recovering an image from raw, under-sampled signal measurements, and is a critical step in diagnostic medical imaging, such as magnetic resonance imaging (MRI). Recently, data-driven methods have led to improved image quality in MRI reconstruction using a limit...
Autores principales: | Levac, Brett R., Arvinte, Marius, Tamir, Jonathan I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045102/ https://www.ncbi.nlm.nih.gov/pubmed/36978755 http://dx.doi.org/10.3390/bioengineering10030364 |
Ejemplares similares
-
Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction with Iteration-Dependent Targets
por: Corda-D’Incan, Guillaume, et al.
Publicado: (2022) -
Unrolling time: Christiaan Huygens and the mathematization of nature
por: Yoder-Gerstmeyer, Joella
Publicado: (1988) -
Unrolled-DOT: an interpretable deep network for diffuse optical tomography
por: Zhao, Yongyi, et al.
Publicado: (2023) -
SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing
por: Song, Heping, et al.
Publicado: (2023) -
3D cyclorama for digital unrolling and visualisation of deformed tubes
por: Rossides, Charalambos, et al.
Publicado: (2021)