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Mendeley readers
Chapter title |
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis
|
---|---|
Chapter number | 14 |
Book title |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-11723-8_14 |
Book ISBNs |
978-3-03-011722-1, 978-3-03-011723-8
|
Authors |
Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra, La Rosa, Francesco, Fartaria, Mário João, Kober, Tobias, Richiardi, Jonas, Granziera, Cristina, Thiran, Jean-Philippe, Cuadra, Meritxell Bach |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Student > Doctoral Student | 4 | 11% |
Student > Master | 4 | 11% |
Researcher | 3 | 8% |
Professor | 1 | 3% |
Other | 1 | 3% |
Unknown | 17 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 19% |
Engineering | 4 | 11% |
Neuroscience | 3 | 8% |
Chemistry | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 0 | 0% |
Unknown | 21 | 57% |