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X Demographics
Mendeley readers
Chapter title |
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
|
---|---|
Chapter number | 52 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_52 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio De Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay Prasad, Stuart Cook, Declan O’Regan, Daniel Rueckert, Biffi, C., Oktay, O., Tarroni, G., De Marvao, A., Bai, W., Doumou, G., Rajchl, M., Bedair, R., Prasad, S., Cook, S., O'Regan, D., Rueckert, D. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 108 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 35% |
Researcher | 16 | 15% |
Student > Master | 7 | 6% |
Student > Bachelor | 6 | 6% |
Student > Doctoral Student | 5 | 5% |
Other | 15 | 14% |
Unknown | 21 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 47 | 44% |
Engineering | 14 | 13% |
Medicine and Dentistry | 7 | 6% |
Physics and Astronomy | 2 | 2% |
Design | 2 | 2% |
Other | 5 | 5% |
Unknown | 31 | 29% |