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Mendeley readers
Chapter title |
How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning
|
---|---|
Chapter number | 72 |
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_72 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich, Blendowski, Maximilian, Nickisch, Hannes, Heinrich, Mattias P. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 18% |
Researcher | 9 | 16% |
Student > Bachelor | 3 | 5% |
Other | 3 | 5% |
Student > Master | 3 | 5% |
Other | 7 | 13% |
Unknown | 21 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 23% |
Engineering | 10 | 18% |
Medicine and Dentistry | 3 | 5% |
Neuroscience | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 4% |
Unknown | 25 | 45% |