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Mendeley readers
Chapter title |
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map
|
---|---|
Chapter number | 17 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32248-9_17 |
Book ISBNs |
978-3-03-032247-2, 978-3-03-032248-9
|
Authors |
Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna M. Wardlaw, Taku Komura, Rachmadi, Muhammad Febrian, del C. Valdés-Hernández, Maria, Makin, Stephen, Wardlaw, Joanna M., Komura, Taku |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 21% |
Student > Master | 2 | 11% |
Researcher | 2 | 11% |
Student > Bachelor | 1 | 5% |
Unspecified | 1 | 5% |
Other | 2 | 11% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 26% |
Engineering | 2 | 11% |
Decision Sciences | 1 | 5% |
Unspecified | 1 | 5% |
Neuroscience | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |