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Timeline
X Demographics
Mendeley readers
Chapter title |
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data
|
---|---|
Chapter number | 39 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-43895-0_39 |
Book ISBNs |
978-3-03-143894-3, 978-3-03-143895-0
|
Authors |
Saha, Pramit, Mishra, Divyanshu, Noble, J. Alison |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Members of the public | 2 | 33% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 50% |
Researcher | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 50% |
Engineering | 1 | 25% |
Unknown | 1 | 25% |