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Mendeley readers
Chapter title |
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
|
---|---|
Chapter number | 33 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59716-0_33 |
Book ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
Authors |
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab, Czempiel, Tobias, Paschali, Magdalini, Keicher, Matthias, Simson, Walter, Feussner, Hubertus, Kim, Seong Tae, Navab, Nassir |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Doctoral Student | 6 | 13% |
Student > Bachelor | 5 | 11% |
Student > Master | 4 | 9% |
Other | 2 | 4% |
Other | 4 | 9% |
Unknown | 19 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 23% |
Medicine and Dentistry | 7 | 15% |
Engineering | 5 | 11% |
Physics and Astronomy | 2 | 4% |
Environmental Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 18 | 38% |