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X Demographics
Mendeley readers
Chapter title |
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution
|
---|---|
Chapter number | 70 |
Book title |
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
|
Published by |
Springer International Publishing, January 2017
|
DOI | 10.1007/978-3-319-66182-7_70 |
Book ISBNs |
978-3-31-966181-0, 978-3-31-966182-7
|
Authors |
Tanno, R, Worrall, DE, Ghosh, A, Kaden, E, Sotiropoulos, SN, Criminisi, A, Alexander, DC, Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander |
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 % |
---|---|---|
Unknown | 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 157 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 25% |
Researcher | 26 | 17% |
Student > Master | 20 | 13% |
Student > Bachelor | 10 | 6% |
Other | 7 | 4% |
Other | 19 | 12% |
Unknown | 36 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 51 | 32% |
Engineering | 31 | 20% |
Medicine and Dentistry | 6 | 4% |
Physics and Astronomy | 5 | 3% |
Neuroscience | 5 | 3% |
Other | 9 | 6% |
Unknown | 50 | 32% |