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Mendeley readers
Chapter title |
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
|
---|---|
Chapter number | 12 |
Book title |
Information Processing in Medical Imaging
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59050-9_12 |
Book ISBNs |
978-3-31-959049-3, 978-3-31-959050-9
|
Authors |
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs, Schlegl, Thomas, Seeböck, Philipp, Waldstein, Sebastian M., Schmidt-Erfurth, Ursula, Langs, Georg |
Mendeley readers
The data shown below were compiled from readership statistics for 1,606 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Switzerland | 1 | <1% |
Austria | 1 | <1% |
Unknown | 1603 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 312 | 19% |
Student > Master | 292 | 18% |
Researcher | 188 | 12% |
Student > Bachelor | 130 | 8% |
Other | 68 | 4% |
Other | 144 | 9% |
Unknown | 472 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 656 | 41% |
Engineering | 241 | 15% |
Medicine and Dentistry | 32 | 2% |
Mathematics | 28 | 2% |
Physics and Astronomy | 24 | 1% |
Other | 91 | 6% |
Unknown | 534 | 33% |