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Mendeley readers
Chapter title |
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
|
---|---|
Chapter number | 46 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
|
Published by |
Springer, Berlin, Heidelberg, October 2012
|
DOI | 10.1007/978-3-642-33454-2_46 |
Pubmed ID | |
Book ISBNs |
978-3-64-233453-5, 978-3-64-233454-2
|
Authors |
Zikic D, Glocker B, Konukoglu E, Criminisi A, Demiralp C, Shotton J, Thomas OM, Das T, Jena R, Price SJ, Zikic, Darko, Glocker, Ben, Konukoglu, Ender, Criminisi, Antonio, Demiralp, C., Shotton, J., Thomas, O. M., Das, T., Jena, R., Price, S. J. |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
France | 2 | 1% |
United Kingdom | 2 | 1% |
Switzerland | 1 | <1% |
Pakistan | 1 | <1% |
Italy | 1 | <1% |
Israel | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Other | 3 | 2% |
Unknown | 167 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 22% |
Student > Master | 32 | 17% |
Researcher | 26 | 14% |
Student > Bachelor | 9 | 5% |
Student > Doctoral Student | 8 | 4% |
Other | 28 | 15% |
Unknown | 40 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 67 | 37% |
Engineering | 38 | 21% |
Medicine and Dentistry | 9 | 5% |
Agricultural and Biological Sciences | 5 | 3% |
Neuroscience | 4 | 2% |
Other | 13 | 7% |
Unknown | 47 | 26% |