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Mendeley readers
Chapter title |
A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC–MRA Images
|
---|---|
Chapter number | 114 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
|
Published in |
Lecture notes in computer science, January 2009
|
DOI | 10.1007/978-3-642-04271-3_114 |
Pubmed ID | |
Book ISBNs |
978-3-64-204270-6, 978-3-64-204271-3
|
Authors |
El-Baz A, Gimel'farb G, Falk R, Abou El-Ghar M, Kumar V, Heredia D, Ayman El-Baz, Georgy Gimel’farb, Robert Falk, Mohamed Abou El-Ghar, Vedant Kumar, David Heredia, El-Baz, Ayman, Gimel’farb, Georgy, Falk, Robert, Abou El-Ghar, Mohamed, Kumar, Vedant, Heredia, David |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
China | 1 | 5% |
Singapore | 1 | 5% |
Canada | 1 | 5% |
Unknown | 16 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 20% |
Researcher | 3 | 15% |
Student > Master | 3 | 15% |
Student > Postgraduate | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Other | 3 | 15% |
Unknown | 3 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 40% |
Engineering | 3 | 15% |
Medicine and Dentistry | 3 | 15% |
Neuroscience | 1 | 5% |
Unknown | 5 | 25% |