You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
|
---|---|
Chapter number | 14 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
|
Published by |
Springer, Berlin, Heidelberg, September 2010
|
DOI | 10.1007/978-3-642-15705-9_14 |
Pubmed ID | |
Book ISBNs |
978-3-64-215704-2, 978-3-64-215705-9
|
Authors |
Geremia E, Menze BH, Clatz O, Konukoglu E, Criminisi A, Ayache N, Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 6% |
Switzerland | 2 | 2% |
Germany | 2 | 2% |
United Kingdom | 2 | 2% |
Sweden | 1 | 1% |
France | 1 | 1% |
Canada | 1 | 1% |
Australia | 1 | 1% |
Unknown | 71 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 28% |
Researcher | 13 | 15% |
Student > Master | 12 | 14% |
Professor > Associate Professor | 6 | 7% |
Student > Bachelor | 4 | 5% |
Other | 14 | 16% |
Unknown | 13 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 36% |
Engineering | 17 | 20% |
Medicine and Dentistry | 8 | 9% |
Neuroscience | 5 | 6% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 6 | 7% |
Unknown | 17 | 20% |