Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Detecting Outliers with Poisson Image Interpolation
|
|---|---|
| Chapter number | 56 |
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
| Published by |
Springer, Cham, September 2021
|
| DOI | 10.1007/978-3-030-87240-3_56 |
| Book ISBNs |
978-3-03-087239-7, 978-3-03-087240-3
|
| Authors |
Tan, Jeremy, Hou, Benjamin, Day, Thomas, Simpson, John, Rueckert, Daniel, Kainz, Bernhard |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Student > Master | 5 | 20% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 32% |
| Engineering | 4 | 16% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 12 | 48% |