New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal ; day:30 ; month:10 ; year:2023 ; pages:1-14
Magnetic resonance materials in physics, biology and medicine ; (30.10.2023), 1-14
- Creator
-
Tian, Ye
Nayak, Krishna S.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10334-023-01123-w
- URN
-
urn:nbn:de:101:1-2024011708405717960085
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tian, Ye
- Nayak, Krishna S.
- SpringerLink (Online service)
Other Objects (12)
δ-secretase in neurodegenerative diseases: mechanisms, regulators and therapeutic opportunities
Estimating hyperlocal traffic CO<sub>2</sub> by customizing spatial relationship: An analysis from Digital Footprint data
Emerging landscapes of “alternative-academic” careers in library and information science: Evolutionary patterns and prospects in the Chinese context
Subcutaneous emphysema potentially caused by tracheostomy tubes with subglottic suction devices
Improved SparseEA for sparse large-scale multi-objective optimization problems
Study on atomization characteristics of a kerosene jet in a supersonic crossflow
Influence of rainfall changes from 4.6 to 3.0 ka BP on ceramic pipes
Scoring function to predict solubility mutagenesis
Low-field 0.55 T MRI evaluation of the fetus
Gene expression profiling of the synergy of 5-aza-2′-deoxycytidine and paclitaxel against renal cell carcinoma
Deep learning for image-based large-flowered chrysanthemum cultivar recognition
Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20
δ-secretase in neurodegenerative diseases: mechanisms, regulators and therapeutic opportunities
Estimating hyperlocal traffic CO<sub>2</sub> by customizing spatial relationship: An analysis from Digital Footprint data
Emerging landscapes of “alternative-academic” careers in library and information science: Evolutionary patterns and prospects in the Chinese context
Subcutaneous emphysema potentially caused by tracheostomy tubes with subglottic suction devices
Improved SparseEA for sparse large-scale multi-objective optimization problems
Study on atomization characteristics of a kerosene jet in a supersonic crossflow
Influence of rainfall changes from 4.6 to 3.0 ka BP on ceramic pipes
Scoring function to predict solubility mutagenesis
Low-field 0.55 T MRI evaluation of the fetus
Gene expression profiling of the synergy of 5-aza-2′-deoxycytidine and paclitaxel against renal cell carcinoma
Deep learning for image-based large-flowered chrysanthemum cultivar recognition
Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20
δ-secretase in neurodegenerative diseases: mechanisms, regulators and therapeutic opportunities
Estimating hyperlocal traffic CO<sub>2</sub> by customizing spatial relationship: An analysis from Digital Footprint data
Emerging landscapes of “alternative-academic” careers in library and information science: Evolutionary patterns and prospects in the Chinese context
Subcutaneous emphysema potentially caused by tracheostomy tubes with subglottic suction devices
Improved SparseEA for sparse large-scale multi-objective optimization problems
Study on atomization characteristics of a kerosene jet in a supersonic crossflow
Influence of rainfall changes from 4.6 to 3.0 ka BP on ceramic pipes
Scoring function to predict solubility mutagenesis
Low-field 0.55 T MRI evaluation of the fetus
Gene expression profiling of the synergy of 5-aza-2′-deoxycytidine and paclitaxel against renal cell carcinoma
Deep learning for image-based large-flowered chrysanthemum cultivar recognition