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Mendeley readers
Chapter title |
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
|
---|---|
Chapter number | 71 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32226-7_71 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi, Burwinkel, Hendrik, Kazi, Anees, Vivar, Gerome, Albarqouni, Shadi, Zahnd, Guillaume, Navab, Nassir, Ahmadi, Seyed-Ahmad |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 18% |
Student > Ph. D. Student | 6 | 18% |
Other | 2 | 6% |
Lecturer | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 3 | 9% |
Unknown | 13 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 50% |
Engineering | 1 | 3% |
Unknown | 16 | 47% |