Quantification in Cardiovascular MRI: A Primer for Radiology Residents.
Publication
, Journal Article
Kalisz, KR; Ansari-Gilani, K
Published in: Radiographics
2020
Duke Scholars
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Published In
Radiographics
DOI
EISSN
1527-1323
Publication Date
2020
Volume
40
Issue
7
Start / End Page
1832 / 1833
Location
United States
Related Subject Headings
- Reproducibility of Results
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Imaging
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans
- Cardiovascular Diseases
- Artificial Intelligence
- 1103 Clinical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Kalisz, K. R., & Ansari-Gilani, K. (2020). Quantification in Cardiovascular MRI: A Primer for Radiology Residents. Radiographics, 40(7), 1832–1833. https://doi.org/10.1148/rg.2020200035
Kalisz, Kevin R., and Kianoush Ansari-Gilani. “Quantification in Cardiovascular MRI: A Primer for Radiology Residents.” Radiographics 40, no. 7 (2020): 1832–33. https://doi.org/10.1148/rg.2020200035.
Kalisz KR, Ansari-Gilani K. Quantification in Cardiovascular MRI: A Primer for Radiology Residents. Radiographics. 2020;40(7):1832–3.
Kalisz, Kevin R., and Kianoush Ansari-Gilani. “Quantification in Cardiovascular MRI: A Primer for Radiology Residents.” Radiographics, vol. 40, no. 7, 2020, pp. 1832–33. Pubmed, doi:10.1148/rg.2020200035.
Kalisz KR, Ansari-Gilani K. Quantification in Cardiovascular MRI: A Primer for Radiology Residents. Radiographics. 2020;40(7):1832–1833.
Published In
Radiographics
DOI
EISSN
1527-1323
Publication Date
2020
Volume
40
Issue
7
Start / End Page
1832 / 1833
Location
United States
Related Subject Headings
- Reproducibility of Results
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Imaging
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans
- Cardiovascular Diseases
- Artificial Intelligence
- 1103 Clinical Sciences