Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1281, doi. 10.3348/kjr.2022.0539
- By:
- Publication type:
- Article
Works matching IS 12296929 AND DT 2022 AND VI 23 AND IP 12
Results: 9
1
2
Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1269, doi. 10.3348/kjr.2022.0494
- By:
- Publication type:
- Article
3
Use of "Diagnostic Yield" in Imaging Research Reports: Results from Articles Published in Two General Radiology Journals.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1290, doi. 10.3348/kjr.2022.0741
- By:
- Publication type:
- Article
4
2022 KLCA-NCC Korea Practice Guidelines for the Management of Hepatocellular Carcinoma.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1126, doi. 10.3348/kjr.2022.0822
- Publication type:
- Article
5
Global cooperation on health and nature issues in the (longer) wake of COVID-19: Effects on poverty alleviation, and the role of China.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. iii
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- Publication type:
- Article
6
Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1241, doi. 10.3348/kjr.2022.0263
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- Publication type:
- Article
7
Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1119, doi. 10.3348/kjr.2022.0834
- By:
- Publication type:
- Article
8
Cutoff Values for Diagnosing Hepatic Steatosis Using Contemporary MRI-Proton Density Fat Fraction Measuring Methods.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1260, doi. 10.3348/kjr.2022.0334
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- Publication type:
- Article
9
Automated Measurement of Native T1 and Extracellular Volume Fraction in Cardiac Magnetic Resonance Imaging Using a Commercially Available Deep Learning Algorithm.
- Published in:
- Korean Journal of Radiology, 2022, v. 23, n. 12, p. 1251, doi. 10.3348/kjr.2022.0496
- By:
- Publication type:
- Article