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X Demographics
Mendeley readers
| Chapter title |
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
|
|---|---|
| Chapter number | 6 |
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
| Published by |
Springer, Cham, September 2020
|
| DOI | 10.1007/978-3-030-59716-0_6 |
| Book ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
| Authors |
Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier, Ihler, Sontje, Kuhnke, Felix, Laves, Max-Heinrich, Ortmaier, Tobias |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Researcher | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 33% |
| Psychology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 5 | 42% |