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| Chapter title |
Histology to μCT Data Matching Using Landmarks and a Density Biased RANSAC
|
|---|---|
| Chapter number | 31 |
| 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_31 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Natalia Chicherova, Ketut Fundana, Bert Müller, Philippe C. Cattin |
| Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 29% |
| Student > Ph. D. Student | 3 | 18% |
| Student > Postgraduate | 3 | 18% |
| Student > Master | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Engineering | 3 | 18% |
| Agricultural and Biological Sciences | 1 | 6% |
| Environmental Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |