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X Demographics
Mendeley readers
Chapter title |
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI
|
---|---|
Chapter number | 36 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32248-9_36 |
Book ISBNs |
978-3-03-032247-2, 978-3-03-032248-9
|
Authors |
N. Khalili, E. Turk, M. Zreik, M. A. Viergever, M. J. N. L. Benders, I. Išgum, Khalili, N., Turk, E., Zreik, M., Viergever, M. A., Benders, M. J. N. L., Išgum, I. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 28% |
Researcher | 5 | 16% |
Professor > Associate Professor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 19% |
Engineering | 3 | 9% |
Nursing and Health Professions | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 18 | 56% |