Title |
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort
|
---|---|
Published in |
Abdominal Radiology, April 2019
|
DOI | 10.1007/s00261-019-02014-2 |
Pubmed ID | |
Authors |
Peter M. Graffy, Jiamin Liu, Stacy O’Connor, Ronald M. Summers, Perry J. Pickhardt |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Netherlands | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 65 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 15% |
Student > Bachelor | 10 | 15% |
Student > Master | 7 | 11% |
Researcher | 5 | 8% |
Student > Doctoral Student | 5 | 8% |
Other | 10 | 15% |
Unknown | 18 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 25% |
Engineering | 8 | 12% |
Computer Science | 8 | 12% |
Nursing and Health Professions | 2 | 3% |
Business, Management and Accounting | 2 | 3% |
Other | 6 | 9% |
Unknown | 23 | 35% |