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Mendeley readers
Chapter title |
SVF-Net: Learning Deformable Image Registration Using Shape Matching
|
---|---|
Chapter number | 31 |
Book title |
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66182-7_31 |
Book ISBNs |
978-3-31-966181-0, 978-3-31-966182-7
|
Authors |
Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 152 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 28% |
Researcher | 21 | 14% |
Student > Master | 14 | 9% |
Student > Bachelor | 12 | 8% |
Student > Doctoral Student | 7 | 5% |
Other | 8 | 5% |
Unknown | 48 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 32% |
Engineering | 28 | 18% |
Physics and Astronomy | 5 | 3% |
Medicine and Dentistry | 4 | 3% |
Agricultural and Biological Sciences | 3 | 2% |
Other | 10 | 7% |
Unknown | 53 | 35% |