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Mendeley readers
Chapter title |
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network
|
---|---|
Chapter number | 83 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
|
Published in |
Lecture notes in computer science, November 2015
|
DOI | 10.1007/978-3-319-24553-9_83 |
Book ISBNs |
978-3-31-924552-2, 978-3-31-924553-9
|
Authors |
Hien Van Nguyen, Kevin Zhou, Raviteja Vemulapalli |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 31% |
Student > Master | 11 | 18% |
Researcher | 7 | 11% |
Lecturer | 3 | 5% |
Student > Bachelor | 2 | 3% |
Other | 6 | 10% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 36% |
Engineering | 18 | 30% |
Nursing and Health Professions | 1 | 2% |
Medicine and Dentistry | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 0 | 0% |
Unknown | 18 | 30% |