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Mendeley readers
Chapter title |
Adversarial Policy Gradient for Deep Learning Image Augmentation
|
---|---|
Chapter number | 50 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32226-7_50 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia, Cheng, Kaiyang, Iriondo, Claudia, Calivá, Francesco, Krogue, Justin, Majumdar, Sharmila, Pedoia, Valentina |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 28% |
Student > Master | 6 | 21% |
Researcher | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 1 | 3% |
Other | 1 | 3% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 38% |
Social Sciences | 2 | 7% |
Engineering | 2 | 7% |
Neuroscience | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 0 | 0% |
Unknown | 12 | 41% |