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X Demographics
Mendeley readers
Chapter title |
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
|
---|---|
Chapter number | 6 |
Book title |
Machine Learning for Medical Image Reconstruction
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33843-5_6 |
Book ISBNs |
978-3-03-033842-8, 978-3-03-033843-5
|
Authors |
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D’Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander, Lin, H, Figini, M, Tanno, R, Blumberg, SB, Kaden, E, Ogbole, G, Brown, BJ, D’Arco, F, Carmichael, DW, Lagunju, I, Cross, HJ, Fernandez-Reyes, D, Alexander, DC, Lin, Hongxiang, Figini, Matteo, Tanno, Ryutaro, Blumberg, Stefano B., Kaden, Enrico, Ogbole, Godwin, Brown, Biobele J., D’Arco, Felice, Carmichael, David W., Lagunju, Ikeoluwa, Cross, Helen J., Fernandez-Reyes, Delmiro, Alexander, Daniel C. |
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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Ph. D. Student | 7 | 14% |
Student > Master | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Professor | 3 | 6% |
Other | 7 | 14% |
Unknown | 14 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 22% |
Engineering | 7 | 14% |
Medicine and Dentistry | 6 | 12% |
Agricultural and Biological Sciences | 2 | 4% |
Chemistry | 2 | 4% |
Other | 5 | 10% |
Unknown | 17 | 34% |