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X Demographics
Mendeley readers
Chapter title |
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation
|
---|---|
Chapter number | 56 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16443-9_56 |
Book ISBNs |
978-3-03-116442-2, 978-3-03-116443-9
|
Authors |
Xu, Mou-Cheng, Zhou, Yukun, Jin, Chen, de Groot, Marius, Alexander, Daniel C., Oxtoby, Neil P., Hu, Yipeng, Jacob, Joseph, Groot, Marius de, Alexander, Daniel C, Oxtoby, Neil P |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Student > Master | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 9 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 20% |
Engineering | 3 | 20% |
Unknown | 9 | 60% |