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Mendeley readers
Chapter title |
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features
|
---|---|
Chapter number | 13 |
Book title |
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-75541-0_13 |
Book ISBNs |
978-3-31-975540-3, 978-3-31-975541-0
|
Authors |
Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 173 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 28% |
Student > Master | 20 | 12% |
Researcher | 14 | 8% |
Student > Bachelor | 13 | 8% |
Professor > Associate Professor | 5 | 3% |
Other | 17 | 10% |
Unknown | 56 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 26% |
Engineering | 39 | 23% |
Medicine and Dentistry | 12 | 7% |
Physics and Astronomy | 2 | 1% |
Business, Management and Accounting | 2 | 1% |
Other | 6 | 3% |
Unknown | 67 | 39% |