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| Title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
|
|---|---|
| Published by |
Springer International Publishing, January 2020
|
| DOI | 10.1007/978-3-030-60365-6 |
| ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
| Authors |
Irzan, H, Fidon, L, Vercauteren, T, Ourselin, S, Marlow, N, Melbourne, A |
| Editors |
Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells, Aristeidis Sotiras, Bartlomiej Papiez, Enzo Ferrante, Sarah Parisot |
Twitter Demographics
The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 6 | 19% |
| Switzerland | 6 | 19% |
| United Kingdom | 3 | 9% |
| United States | 2 | 6% |
| Germany | 2 | 6% |
| Spain | 1 | 3% |
| Singapore | 1 | 3% |
| Netherlands | 1 | 3% |
| Japan | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 44% |
| Members of the public | 14 | 44% |
| Practitioners (doctors, other healthcare professionals) | 4 | 13% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 3 | 19% |
| Student > Doctoral Student | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 38% |
| Engineering | 2 | 13% |
| Medicine and Dentistry | 1 | 6% |
| Neuroscience | 1 | 6% |
| Unknown | 6 | 38% |