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X Demographics
Mendeley readers
Chapter title |
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations
|
---|---|
Chapter number | 67 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00937-3_67 |
Book ISBNs |
978-3-03-000936-6, 978-3-03-000937-3
|
Authors |
Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert, Bai, W., Suzuki, H., Qin, C., Tarroni, G., Oktay, O., Matthews, P. M., Rueckert, D., Bai, Wenjia, Suzuki, Hideaki, Qin, Chen, Tarroni, Giacomo, Oktay, Ozan, Matthews, Paul M., Rueckert, Daniel |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 127 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 29% |
Researcher | 14 | 11% |
Student > Master | 13 | 10% |
Student > Bachelor | 7 | 6% |
Student > Doctoral Student | 4 | 3% |
Other | 12 | 9% |
Unknown | 40 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 24% |
Engineering | 28 | 22% |
Medicine and Dentistry | 6 | 5% |
Agricultural and Biological Sciences | 3 | 2% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Other | 7 | 6% |
Unknown | 51 | 40% |