| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate Prostate Volumes from Manual Calculations—A Comparison of PI-RADS v2 and v2.1 Measurement Techniques
|
An, Julie Y.
|
|
|
28 |
11 |
p. 1557-1558
|
artikel
|
| 2 |
A Review of Radiomics and Deep Predictive Modeling in Glioma Characterization
|
Gore, Sonal
|
|
|
28 |
11 |
p. 1599-1621
|
artikel
|
| 3 |
A Systematic Review of Imaging Studies in Olfactory Dysfunction Secondary to COVID-19
|
Keshavarz, Pedram
|
|
|
28 |
11 |
p. 1530-1540
|
artikel
|
| 4 |
Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans
|
Summers, Ronald M.
|
|
|
28 |
11 |
p. 1491-1499
|
artikel
|
| 5 |
Comparison of PI-RADS Versions 2.0 and 2.1 for MRI-based Calculation of the Prostate Volume
|
Ghafoor, Soleen
|
|
|
28 |
11 |
p. 1548-1556
|
artikel
|
| 6 |
Creating a Lively Intellectual and Professional Community
|
Gunderman, Richard B.
|
|
|
28 |
11 |
p. 1637-1638
|
artikel
|
| 7 |
Creating an Open-Access Educational Radiology Website for Medical Students: A Guide for Radiology Educators
|
Mauro, David M.
|
|
|
28 |
11 |
p. 1631-1636
|
artikel
|
| 8 |
Current State of Membership Diversity Among North American Radiology Societies: Analysis of Public Information on Society Websites
|
Prabhu, Vinay
|
|
|
28 |
11 |
p. 1541-1547
|
artikel
|
| 9 |
Deep Learning-based Quantification of Abdominal Subcutaneous and Visceral Fat Volume on CT Images
|
Grainger, Andrew T.
|
|
|
28 |
11 |
p. 1481-1487
|
artikel
|
| 10 |
Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis
|
Komolafe, Temitope Emmanuel
|
|
|
28 |
11 |
p. 1507-1523
|
artikel
|
| 11 |
Evaluating the Methods of Surveying Interventional Radiologists’ Practices and Wellbeing During COVID-19
|
Kader, Joshua
|
|
|
28 |
11 |
p. 1641-1642
|
artikel
|
| 12 |
How to Become a Great Teacher?
|
Awan, Omer A.
|
|
|
28 |
11 |
p. 1639-1640
|
artikel
|
| 13 |
Investigation of Radiation Dose Estimates and Image Quality Between Commercially Available Interventional Fluoroscopy Systems for Fluoroscopically Guided Interventional Procedures
|
Trunz, Lukas M.
|
|
|
28 |
11 |
p. 1559-1569
|
artikel
|
| 14 |
MRI Features as Prognostic Factors in Myxofibrosarcoma: Proposal of MRI Grading System
|
Spinnato, Paolo
|
|
|
28 |
11 |
p. 1524-1529
|
artikel
|
| 15 |
Pass/Fail USMLE Step 1 Scoring—A Radiology Program Director Survey
|
MacKinnon, Grant E.
|
|
|
28 |
11 |
p. 1622-1625
|
artikel
|
| 16 |
Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions
|
Hoye, Jocelyn
|
|
|
28 |
11 |
p. 1570-1581
|
artikel
|
| 17 |
Quantitative Imaging of Body Fat Distribution in the Era of Deep Learning
|
Kim, Sungheon Gene
|
|
|
28 |
11 |
p. 1488-1490
|
artikel
|
| 18 |
Re: “Diagnostic Accuracies of the Ultrasound and Magnetic Resonance Imaging ADNEX Scoring Systems for Ovarian Adnexal Mass: Systematic Review and Meta-Analysis”
|
Van Calster, Ben
|
|
|
28 |
11 |
p. 1643-1644
|
artikel
|
| 19 |
Spontaneous Pneumomediastinum in Patients Diagnosed with COVID-19: A Case Series with Review of Literature
|
Chowdhary, Anisa
|
|
|
28 |
11 |
p. 1586-1598
|
artikel
|
| 20 |
The Radiology Landscape after COVID-19: Summary of the 2021 AUR Academic Radiology and Industry Leaders Roundtable
|
Awan, Omer A.
|
|
|
28 |
11 |
p. 1582-1585
|
artikel
|
| 21 |
Training Radiology Residents, Bloom Style
|
Smith, Elana B.
|
|
|
28 |
11 |
p. 1626-1630
|
artikel
|
| 22 |
Trends in Pediatric Appendicitis and Imaging Strategies During Covid-19 in the United States
|
Hayatghaibi, Shireen E.
|
|
|
28 |
11 |
p. 1500-1506
|
artikel
|
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