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X Demographics
Mendeley readers
Chapter title |
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration
|
---|---|
Chapter number | 83 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, September 2018
|
DOI | 10.1007/978-3-030-00928-1_83 |
Pubmed ID | |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen, Fan, Jingfan, Cao, Xiaohuan, Xue, Zhong, Yap, Pew-Thian, Shen, Dinggang, Dinggang Shen1 |
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 % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 124 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 23% |
Student > Master | 16 | 13% |
Student > Doctoral Student | 8 | 6% |
Student > Bachelor | 6 | 5% |
Student > Postgraduate | 4 | 3% |
Other | 14 | 11% |
Unknown | 48 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 31% |
Engineering | 17 | 14% |
Medicine and Dentistry | 8 | 6% |
Physics and Astronomy | 1 | <1% |
Mathematics | 1 | <1% |
Other | 2 | 2% |
Unknown | 57 | 46% |