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X Demographics
Mendeley readers
Chapter title |
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
|
---|---|
Chapter number | 34 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16452-1_34 |
Book ISBNs |
978-3-03-116451-4, 978-3-03-116452-1
|
Authors |
Gomariz, Alvaro, Lu, Huanxiang, Li, Yun Yvonna, Albrecht, Thomas, Maunz, Andreas, Benmansour, Fethallah, Valcarcel, Alessandra M., Luu, Jennifer, Ferrara, Daniela, Goksel, Orcun |
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 % |
---|---|---|
Sweden | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Researcher | 2 | 17% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 25% |
Computer Science | 1 | 8% |
Unknown | 8 | 67% |