You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation
|
---|---|
Chapter number | 35 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published by |
Springer, Cham, October 2016
|
DOI | 10.1007/978-3-319-46723-8_35 |
Book ISBNs |
978-3-31-946722-1, 978-3-31-946723-8
|
Authors |
Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer Syeda-Mahmood |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 3% |
Unknown | 38 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 28% |
Researcher | 8 | 21% |
Student > Master | 4 | 10% |
Student > Bachelor | 3 | 8% |
Professor > Associate Professor | 2 | 5% |
Other | 3 | 8% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 38% |
Engineering | 5 | 13% |
Agricultural and Biological Sciences | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Philosophy | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 33% |