Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical…
Springer International Publishing
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| 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 |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Researcher | 3 | 27% |
| Student > Postgraduate | 2 | 18% |
| Professor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Philosophy | 1 | 9% |
| Linguistics | 1 | 9% |
| Mathematics | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 2 | 18% |