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 |
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features
|
---|---|
Chapter number | 74 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
|
Published by |
Springer International Publishing, January 2015
|
DOI | 10.1007/978-3-319-24574-4_74 |
Book ISBNs |
978-3-31-924573-7, 978-3-31-924574-4
|
Authors |
Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert, Keraudren, Kevin, Kainz, Bernhard, Oktay, Ozan, Kyriakopoulou, Vanessa, Rutherford, Mary, Hajnal, Joseph V., Rueckert, Daniel |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Israel | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 26% |
Student > Master | 5 | 22% |
Student > Bachelor | 3 | 13% |
Lecturer | 2 | 9% |
Researcher | 2 | 9% |
Other | 2 | 9% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 39% |
Computer Science | 9 | 39% |
Mathematics | 1 | 4% |
Unknown | 4 | 17% |