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Mendeley readers
Chapter title |
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
|
---|---|
Chapter number | 80 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40763-5_80 |
Pubmed ID | |
Book ISBNs |
978-3-64-240762-8, 978-3-64-240763-5
|
Authors |
Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen, Wu, Guorong, Kim, Minjeong, Wang, Qian, Gao, Yaozong, Liao, Shu, Shen, Dinggang |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Switzerland | 1 | <1% |
Colombia | 1 | <1% |
Canada | 1 | <1% |
Austria | 1 | <1% |
Unknown | 193 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 63 | 32% |
Student > Master | 25 | 13% |
Researcher | 23 | 12% |
Student > Bachelor | 17 | 9% |
Student > Postgraduate | 8 | 4% |
Other | 22 | 11% |
Unknown | 42 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 69 | 35% |
Engineering | 44 | 22% |
Agricultural and Biological Sciences | 8 | 4% |
Neuroscience | 7 | 4% |
Medicine and Dentistry | 7 | 4% |
Other | 15 | 8% |
Unknown | 50 | 25% |