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Mendeley readers
Chapter title |
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
|
---|---|
Chapter number | 29 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_29 |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Ilkay Oksuz, Bram Ruijsink, Esther Puyol-Antón, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 26% |
Researcher | 18 | 23% |
Student > Master | 11 | 14% |
Student > Bachelor | 6 | 8% |
Student > Doctoral Student | 3 | 4% |
Other | 8 | 10% |
Unknown | 12 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 32% |
Engineering | 19 | 24% |
Medicine and Dentistry | 4 | 5% |
Agricultural and Biological Sciences | 4 | 5% |
Mathematics | 2 | 3% |
Other | 7 | 9% |
Unknown | 17 | 22% |