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| Chapter title |
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation
|
|---|---|
| Chapter number | 89 |
| Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-319-10404-1_89 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes |
| Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 53 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 25% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Other | 4 | 7% |
| Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 29% |
| Engineering | 9 | 16% |
| Medicine and Dentistry | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Mathematics | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 13 | 23% |