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Mendeley readers
Chapter title |
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment
|
---|---|
Chapter number | 72 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46720-7_72 |
Book ISBNs |
978-3-31-946719-1, 978-3-31-946720-7
|
Authors |
Omar S. Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge, Omar S. Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge |
Editors |
Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Jordan | 1 | 8% |
Colombia | 1 | 8% |
United States | 1 | 8% |
Unknown | 9 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Researcher | 3 | 25% |
Student > Master | 2 | 17% |
Professor | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 50% |
Engineering | 4 | 33% |
Materials Science | 1 | 8% |
Unknown | 1 | 8% |