Published 2023
| Version v1
Journal article
Deep learning image reconstruction. A tremendous advance for clinical MRI but be careful.
Creators
- 1. Section of Oakland Pediatric Radiology, UCSF Department of Radiology and Biomedical Imaging, Department of Diagnostic Imaging, UCSF Benioff Children's Hospital Oakland, 747 52nd St, 94609, Oakland, CA (United States)
- 2. Department of Radiology, Cincinnati Children's Hospital Medical Center, Department of Radiology, University of Cincinnati, Cincinnati, OH (United States)
Description
no abstract available
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00247-023-05720-8Additional details
Identifiers
Publishing Information
- Journal Title
- Pediatric Radiology
- Journal Volume
- 53
- Journal Issue
- 10
- Journal Page Range
- p. 2157-2158
- ISSN
- 0301-0449
- CODEN
- PDRYA5
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 54124263
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Resource subtype / Literary indicator
- No Abstract
- Descriptors DEI
- IMAGE PROCESSING; MACHINE LEARNING; NMR IMAGING; PEDIATRICS
- Descriptors DEC
- ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSTIC TECHNIQUES; LEARNING; MATHEMATICAL LOGIC; MEDICINE; PROCESSING
Optional Information
- Notes
- Letter to the editor