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Mendeley readers
Chapter title |
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation
|
---|---|
Chapter number | 1 |
Book title |
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33391-1_1 |
Book ISBNs |
978-3-03-033390-4, 978-3-03-033391-1
|
Authors |
Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp, Manakov, Ilja, Rohm, Markus, Kern, Christoph, Schworm, Benedikt, Kortuem, Karsten, Tresp, Volker |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 19% |
Student > Master | 5 | 16% |
Researcher | 4 | 13% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 35% |
Engineering | 3 | 10% |
Medicine and Dentistry | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Unknown | 15 | 48% |