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Mendeley readers
Chapter title |
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface
|
---|---|
Chapter number | 17 |
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_17 |
Book ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
Authors |
Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loic Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary, Vosylius, Vitalis, Wang, Andy, Waters, Cemlyn, Zakharov, Alexey, Ward, Francis, Le Folgoc, Loic, Cupitt, John, Makropoulos, Antonios, Schuh, Andreas, Rueckert, Daniel, Alansary, Amir |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 19% |
Student > Master | 3 | 19% |
Student > Ph. D. Student | 2 | 13% |
Student > Bachelor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 3 | 19% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 25% |
Medicine and Dentistry | 2 | 13% |
Philosophy | 1 | 6% |
Linguistics | 1 | 6% |
Mathematics | 1 | 6% |
Other | 2 | 13% |
Unknown | 5 | 31% |