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Mendeley readers
Chapter title |
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth
|
---|---|
Chapter number | 16 |
Book title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-60365-6_16 |
Book ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
Authors |
Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sebastien Ourselin, Neil Marlow, Andrew Melbourne, Irzan, Hassna, Fidon, Lucas, Vercauteren, Tom, Ourselin, Sebastien, Marlow, Neil, Melbourne, Andrew |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Professor | 1 | 10% |
Student > Ph. D. Student | 1 | 10% |
Student > Master | 1 | 10% |
Other | 1 | 10% |
Unknown | 4 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 1 | 10% |
Computer Science | 1 | 10% |
Neuroscience | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Engineering | 1 | 10% |
Other | 0 | 0% |
Unknown | 5 | 50% |